prompt_id
stringlengths 32
41
| prompt
stringlengths 8
728
| response_reference
stringlengths 3
601
⌀ | judge_prompt_template
stringclasses 5
values | judge_system_prompt
stringclasses 4
values | label
stringclasses 6
values | wind_ticker
stringlengths 3
18
⌀ | akshare_ticker
stringlengths 0
19
⌀ | ground_truth
stringlengths 31
163
⌀ | time
stringclasses 1
value | response_reference_translate
stringlengths 101
194
⌀ | yfinance_ticker
stringclasses 88
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
(T1)Time_Sensitive_Data_Fetching_069
|
吉比特最近一个交易日最低价
|
必答点：吉比特最新交易日的最低价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
603444.SH
|
603444.SH
|
{"603444___SH":{"RT_TIME":"150003","RT_DATE":"20250814","RT_LOW":"407.5"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_070
|
The closing value of CBOE Volatility Index?
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
VVIX.GI
|
-
|
{"VVIX___GI":{"RT_TIME":"0","RT_LAST":"98.17","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest price of the CBOE Volatility Index (the closing price)
Accuracy Requirements: Only rounding errors are allowed
|
^VIX
|
(T1)Time_Sensitive_Data_Fetching_070
|
中国神华A股最近一个交易日最低价
|
必答点：中国神华A股最新交易日的最低价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
601088.SH
|
601088.SH
|
{"601088___SH":{"RT_TIME":"150004","RT_DATE":"20250814","RT_LOW":"0"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_071
|
Latest EURO STOXX 50I's price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
SX5E.DF
|
SX5E
|
{"SX5E___DF":{"RT_TIME":"114830","RT_DATE":"20250814","RT_HIGH":"5406.24","RT_LOW":"5390.37"}}
|
2025/8/14
|
Required Content: The latest price of EURO STOXX 50I
Accuracy Requirements: Any answer between the high and low price is considered correct
|
^STOXX50E
|
(T1)Time_Sensitive_Data_Fetching_071
|
长江电力最近一个交易日涨幅
|
必答点：长江电力最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600900.SH
|
600900.SH
|
{"600900___SH":{"RT_TIME":"150001","RT_PCT_CHG":"0.0011","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_072
|
Latest price of Euronext 100 Index
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
N100.GI
|
-
|
{"N100___GI":{"RT_TIME":"0","RT_DATE":"20250813","RT_HIGH":"1599.3600000000001","RT_LOW":"1587.5"}}
|
2025/8/14
|
Required Content: The latest price of the Euronext 100 Index
Accuracy Requirements: Any answer between the high and low price is considered correct
|
^N100
|
(T1)Time_Sensitive_Data_Fetching_072
|
长江证券最近一个交易日收盘价
|
必答点：长江证券最新交易日的收盘价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000783.SZ
|
000783.SZ
|
{"000783___SZ":{"RT_TIME":"150000","RT_LAST":"7.8500000000000005","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_073
|
Latest price of STI Index
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
STI.GI
|
STI
|
{"STI___GI":{"RT_TIME":"172000","RT_DATE":"20250814","RT_HIGH":"4282.8","RT_LOW":"4247.32"}}
|
2025/8/14
|
Required Content: The latest price of the STI Index
Accuracy Requirements: Any answer between the high and low price is considered correct
|
^STI
|
(T1)Time_Sensitive_Data_Fetching_073
|
天箭科技最近一个交易日涨幅（%）
|
必答点：天箭科技最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
002977.SZ
|
002977.SZ
|
{"002977___SZ":{"RT_TIME":"150000","RT_PCT_CHG":"-0.0334","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_074
|
Price of S&P BSE SENSEX (most recent trading day)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
SENSEX.BO
|
SENSEX
|
{"SENSEX___BO":{"RT_TIME":"145548","RT_DATE":"20250814","RT_HIGH":"80751.18000000001","RT_LOW":"80489.86"}}
|
2025/8/14
|
Required Content: The latest price of the S&P BSE SENSEX
Accuracy Requirements: Any answer between the high and low price is considered correct
|
^BSESN
|
(T1)Time_Sensitive_Data_Fetching_074
|
上证指数的最新交易日价格
|
必答点：上证指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000001.SH
|
000001.SH
|
{"000001___SH":{"RT_TIME":"150009","RT_LAST":"3666.44","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_075
|
latest price of the ALL ORDINARIES Australian general share index
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
AORD.GI
|
AORD
|
{"AORD___GI":{"RT_TIME":"0","RT_DATE":"20250814","RT_HIGH":"9173.2","RT_LOW":"9103.1"}}
|
2025/8/14
|
Required Content: The latest price of the ALL ORDINARIES Australian general share index
Accuracy Requirements: Any answer between the high and low price is considered correct
|
^AORD
|
(T1)Time_Sensitive_Data_Fetching_075
|
沪深300指数的最新交易日价格
|
必答点：沪深300指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000300.SH
|
000300.SH
|
{"000300___SH":{"RT_TIME":"150009","RT_LAST":"4173.31","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_076
|
latest price of NASDAQ Composite
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
IXIC.GI
|
NDX
|
{"IXIC___GI":{"RT_TIME":"160010","RT_LAST":"21713.14","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest price of NASDAQ Composite
Accuracy Requirements: Only rounding errors are allowed
|
^IXIC
|
(T1)Time_Sensitive_Data_Fetching_076
|
科创50的最新价格
|
必答点：科创50指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000688.SH
|
000688.SH
|
{"000688___SH":{"RT_TIME":"150009","RT_LAST":"1085.74","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_077
|
Opening price of Merck (NYSE) on the latest trading day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
MRK.N
|
106.MRK.USA
|
{"MRK___N":{"RT_TIME":"200001","RT_OPEN":"80.75","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Merck
Accuracy Requirements: Only rounding errors are allowed
|
MRK
|
(T1)Time_Sensitive_Data_Fetching_077
|
中证1000的最新价格
|
必答点：中证1000指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000852.SH
|
000852.SH
|
{"000852___SH":{"RT_TIME":"150009","RT_LAST":"6976.49","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_078
|
The opening price of Thermo Fisher Scientific on the latest trading day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
TMO.N
|
106.TMO.USA
|
{"TMO___N":{"RT_TIME":"200001","RT_OPEN":"480.44","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Thermo Fisher Scientific
Accuracy Requirements: Only rounding errors are allowed
|
TMO
|
(T1)Time_Sensitive_Data_Fetching_078
|
恒生科技指数最新价格
|
必答点：恒生科技指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
HSTECH.HI
|
HSTECH.HI
|
{"HSTECH___HI":{"RT_TIME":"160826","RT_LAST":"5576.03","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_079
|
Amgen's latest trading day opening price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
AMGN.O
|
105.AMGN.USA
|
{"AMGN___O":{"RT_TIME":"200000","RT_OPEN":"285.32","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Amgen
Accuracy Requirements: Only rounding errors are allowed
|
AMGN
|
(T1)Time_Sensitive_Data_Fetching_079
|
恒生指数最新价格
|
必答点：恒生指数最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
HSI.HI
|
HSI.HI
|
{"HSI___HI":{"RT_TIME":"160903","RT_LAST":"25519.32","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_080
|
Pfizer's opening price on the latest trading day (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PFE.N
|
106.PFE.USA
|
{"PFE___N":{"RT_TIME":"200001","RT_OPEN":"24.745","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Pfizer
Accuracy Requirements: Only rounding errors are allowed
|
PFE
|
(T1)Time_Sensitive_Data_Fetching_080
|
北证50最新交易日最高价
|
必答点：北证50指数最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
899050.BJ
|
899050.BJ
|
{"899050___BJ":{"RT_TIME":"150014","RT_DATE":"20250814","RT_HIGH":"1463.549"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_081
|
PayPal(NASDAQ)'s latest opening price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PYPL.O
|
105.PYPL.USA
|
{"PYPL___O":{"RT_TIME":"200000","RT_OPEN":"68.23","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of PayPal
Accuracy Requirements: Only rounding errors are allowed
|
PYPL
|
(T1)Time_Sensitive_Data_Fetching_081
|
创业板指最新交易日涨跌幅（基于昨日收盘价和当日收盘价）
|
必答点：创业板指数的最新涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
399006.SZ
|
399006.SZ
|
{"399006___SZ":{"RT_TIME":"150003","RT_PCT_CHG":"-0.0108","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_082
|
Opening price of Block (XYZ) on NYSE
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
XYZ.N
|
106.XYZ.USA
|
{"XYZ___N":{"RT_TIME":"200001","RT_OPEN":"74.765","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Block
Accuracy Requirements: Only rounding errors are allowed
|
XYZ
|
(T1)Time_Sensitive_Data_Fetching_082
|
富时中国A50指数最新最高价
|
必答点：富时中国A50指数最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
830009.XI
|
-
|
{"830009___XI":{"RT_TIME":"153100","RT_DATE":"20250814","RT_HIGH":"14351.81"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_083
|
Opening price of NextEra Energy (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
NEE.N
|
106.NEE.USA
|
{"NEE___N":{"RT_TIME":"200001","RT_OPEN":"71.9","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of NextEra Energy
Accuracy Requirements: Only rounding errors are allowed
|
NEE
|
(T1)Time_Sensitive_Data_Fetching_083
|
欧菲光最近一个交易日的开盘价
|
必答点：欧菲光最新交易日的开盘价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
002456.SZ
|
002456.SZ
|
{"002456___SZ":{"RT_TIME":"150000","RT_OPEN":"11.790000000000001","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_084
|
Latest opening price of Lockheed Martin(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
LMT.N
|
106.LMT.USA
|
{"LMT___N":{"RT_TIME":"200001","RT_OPEN":"432.52","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Lockheed Martin
Accuracy Requirements: Only rounding errors are allowed
|
LMT
|
(T1)Time_Sensitive_Data_Fetching_084
|
A股宇信科技最新涨幅（基于昨日收盘价和当日收盘价）
|
必答点：A股宇信科技的最新涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
300674.SZ
|
300674.SZ
|
{"300674___SZ":{"RT_TIME":"153054","RT_PCT_CHG":"0.0362","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_085
|
The latest opening price of BioNTech (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BNTX.O
|
105.BNTX.USA
|
{"BNTX___O":{"RT_TIME":"200000","RT_OPEN":"111.5","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of BioNTech
Accuracy Requirements: Only rounding errors are allowed
|
BNTX
|
(T1)Time_Sensitive_Data_Fetching_085
|
老浦黄金最新涨幅（基于昨日收盘价和当日收盘价）
|
必答点：港股老浦黄金最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
6181.HK
|
06181.HK
|
{"6181___HK":{"RT_TIME":"160808","RT_PCT_CHG":"-0.012400000000000001","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_086
|
The latest opening price of Rivian (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
RIVN.O
|
105.RIVN.USA
|
{"RIVN___O":{"RT_TIME":"200000","RT_OPEN":"12","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Rivian
Accuracy Requirements: Only rounding errors are allowed
|
RIVN
|
(T1)Time_Sensitive_Data_Fetching_086
|
北方稀土的最新最高价
|
必答点：北方稀土最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600111.SH
|
600111.SH
|
{"600111___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_HIGH":"39.28"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_087
|
Lucid Group's latest opening price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
LCID.O
|
105.LCID.USA
|
{"LCID___O":{"RT_TIME":"200000","RT_OPEN":"2.29","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Lucid Group
Accuracy Requirements: Only rounding errors are allowed
|
LCID
|
(T1)Time_Sensitive_Data_Fetching_087
|
三峡水利的最新换手率
|
必答点：三峡水利最新交易日的换手率(基准：流通股本)
精度要求：允许误差范围绝对数值±0.01
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600116.SH
|
{"600116___SH":{"RT_TIME":"150001","RT_TURN":"0.0045000000000000005","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
|
(T1)Time_Sensitive_Data_Fetching_088
|
The latest opening price of First Solar (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
FSLR.O
|
105.FSLR.USA
|
{"FSLR___O":{"RT_TIME":"200000","RT_OPEN":"185.36","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of First Solar
Accuracy Requirements: Only rounding errors are allowed
|
FSLR
|
(T1)Time_Sensitive_Data_Fetching_088
|
光明肉业的最新涨跌幅（基于昨日收盘价和当日收盘价）
|
必答点：光明肉业最新一个交易日的涨跌幅（基于昨日收盘价和当日收盘价的价格变动）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600073.SH
|
600073.SH
|
{"600073___SH":{"RT_TIME":"150004","RT_PCT_CHG":"-0.0155","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_089
|
Latest opening price of Bloom Energy in the United States
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BE.N
|
106.BE.USA
|
{"BE___N":{"RT_TIME":"200001","RT_OPEN":"43","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Bloom Energy
Accuracy Requirements: Only rounding errors are allowed
|
BE
|
(T1)Time_Sensitive_Data_Fetching_089
|
上海机场的最新成交量
|
必答点：上海机场最新交易日的成交量
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600009.SH
|
600009.SH
|
{"600009___SH":{"RT_TIME":"150000","RT_DATE":"20250814","RT_VOL":"10479494"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_090
|
Disney's latest opening price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
DIS.N
|
106.DIS.USA
|
{"DIS___N":{"RT_TIME":"200000","RT_OPEN":"114.23","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Disney
Accuracy Requirements: Only rounding errors are allowed
|
DIS
|
(T1)Time_Sensitive_Data_Fetching_090
|
包钢股份的最新价格
|
必答点：包钢股份的最新股票价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
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Time-Sensitive_Data_Fetching(Greater China)
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600010.SH
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600010.SH
|
{"600010___SH":{"RT_TIME":"150002","RT_LAST":"2.5","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_091
|
The latest opening price of Starbucks
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
SBUX.O
|
105.SBUX.USA
|
{"SBUX___O":{"RT_TIME":"200000","RT_OPEN":"93.18","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Starbucks
Accuracy Requirements: Only rounding errors are allowed
|
SBUX
|
(T1)Time_Sensitive_Data_Fetching_091
|
民生银行A股的最新最低价
|
必答点：A股民生银行最新交易日的最低价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600016.SH
|
600016.SH
|
{"600016___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_LOW":"4.83"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_092
|
Opening price of Bank of America (US stocks) on the latest trading day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BAC.N
|
106.BAC.USA
|
{"BAC___N":{"RT_TIME":"195959","RT_OPEN":"47.68","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest opening price of Bank of America
Accuracy Requirements: Only rounding errors are allowed
|
BAC
|
(T1)Time_Sensitive_Data_Fetching_092
|
日照港的换手率有多少
|
必答点：日照港最新交易日的换手率(基准：流通股本)
精度要求：允许误差范围绝对数值±0.01
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600017.SH
|
{"600017___SH":{"RT_TIME":"150004","RT_TURN":"0.010400000000000001","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
|
(T1)Time_Sensitive_Data_Fetching_093
|
Microsoft's latest stock price (US stocks)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
MSFT.O
|
105.MSFT.USA
|
{"MSFT___O":{"RT_LAST":"520.58"}}
|
2025/8/14
|
Required Content: Microsoft's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
MSFT
|
(T1)Time_Sensitive_Data_Fetching_093
|
中船科技的最新最高价
|
必答点：中船科技最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
600072.SH
|
600072.SH
|
{"600072___SH":{"RT_TIME":"150001","RT_DATE":"20250814","RT_HIGH":"13.27"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_094
|
Meta's latest stock price in the US
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
META.O
|
105.META.USA
|
{"META___O":{"RT_TIME":"200000","RT_LAST":"780.08","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Meta's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
META
|
(T1)Time_Sensitive_Data_Fetching_094
|
深证成指最新交易日最低价
|
必答点：深证成指最新交易日的最低价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
399001.SZ
|
399001.SZ
|
{"399001___SZ":{"RT_TIME":"150003","RT_DATE":"20250814","RT_LOW":"11417.93"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_095
|
Latest stock price of TSMC in the US
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
TSM.N
|
106.TSM.USA
|
{"TSM___N":{"RT_LAST":"241.44"}}
|
2025/8/14
|
Required Content: The latest closing price of TSMC
Accuracy Requirements: Only rounding errors are allowed
|
TSM
|
(T1)Time_Sensitive_Data_Fetching_095
|
上证50的最新交易日最高价
|
必答点：上证50指数最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000016.SH
|
000016.SH
|
{"000016___SH":{"RT_TIME":"150009","RT_DATE":"20250814","RT_HIGH":"2858.01"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_096
|
Latest stock price of Netflix(NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
NFLX.O
|
105.NFLX.USA
|
{"NFLX___O":{"RT_LAST":"1204.44"}}
|
2025/8/14
|
Required Content: The latest closing price of Netflix
Accuracy Requirements: Only rounding errors are allowed
|
NFLX
|
(T1)Time_Sensitive_Data_Fetching_096
|
台湾加权指数的最新交易日价格
|
必答点：台湾加权指数的最新价格（即最新交易日收盘价）
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
TWII.TW
|
TWII.TW
|
{"TWII___TW":{"RT_TIME":"0","RT_LAST":"24238.100000000002","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_097
|
Latest stock price of Oracle(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
ORCL.N
|
106.ORCL.USA
|
{"ORCL___N":{"RT_LAST":"244.18"}}
|
2025/8/14
|
Required Content: Oracle's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
ORCL
|
(T1)Time_Sensitive_Data_Fetching_097
|
上证50的最新交易日收盘价
|
必答点：上证50最新交易日的收盘价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
000016.SH
|
000016.SH
|
{"000016___SH":{"RT_TIME":"150009","RT_LAST":"2829.4700000000003","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_098
|
Latest stock price of Eli Lilly (USA)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
LLY.N
|
106.LLY.USA
|
{"LLY___N":{"RT_LAST":"660.49"}}
|
2025/8/14
|
Required Content: The latest closing price of Eli Lilly
Accuracy Requirements: Only rounding errors are allowed
|
LLY
|
(T1)Time_Sensitive_Data_Fetching_098
|
沪深300最新交易日最低价
|
必答点：沪深300指数最新交易日的最低价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
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Time-Sensitive_Data_Fetching(Greater China)
|
000300.SH
|
000300.SH
|
{"000300___SH":{"RT_TIME":"150009","RT_DATE":"20250814","RT_LOW":"4165.9400000000005"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_099
|
Latest stock price of Johnson & Johnson (US stocks)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
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Time-Sensitive_Data_Fetching(Global)
|
JNJ.N
|
106.JNJ.USA
|
{"JNJ___N":{"RT_LAST":"174.42000000000002"}}
|
2025/8/14
|
Required Content: Johnson & Johnson's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
JNJ
|
(T1)Time_Sensitive_Data_Fetching_099
|
中证2000的最新交易日最高价是多少
|
必答点：中证2000指数最新交易日的最高价
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
932000.CSI
|
932000.CSI
|
{"932000___CSI":{"RT_TIME":"150011","RT_DATE":"20250814","RT_HIGH":"3027.61"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_100
|
Latest stock price of Merck(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
MRK.N
|
106.MRK.USA
|
{"MRK___N":{"RT_LAST":"82.71000000000001"}}
|
2025/8/14
|
Required Content: The latest closing price of Merck
Accuracy Requirements: Only rounding errors are allowed
|
MRK
|
(T1)Time_Sensitive_Data_Fetching_100
|
澳元兑人民币最新汇率中间价
|
必答点：澳元兑人民币最新汇率中间价（单位：人民币/澳元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
AUDCNY.EX
|
AUDCNYC
|
{"AUDCNY___EX":{"RT_TIME":"91509","RT_LAST":"4.6788","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_101
|
The latest stock price of Thermo Fisher Scientific in US stock market
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
TMO.N
|
106.TMO.USA
|
{"TMO___N":{"RT_TIME":"200001","RT_LAST":"484.79","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Thermo Fisher Scientific
Accuracy Requirements: Only rounding errors are allowed
|
TMO
|
(T1)Time_Sensitive_Data_Fetching_101
|
加币兑人民币最新汇率中间价
|
必答点：加币兑人民币最新汇率中间价（单位：人民币/加币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
CADCNY.EX
|
CADCNYC
|
{"CADCNY___EX":{"RT_TIME":"91509","RT_LAST":"5.1958","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_102
|
Latest stock price of Pfizer(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PFE.N
|
106.PFE.USA
|
{"PFE___N":{"RT_LAST":"25.16"}}
|
2025/8/14
|
Required Content: The latest closing price of Pfizer
Accuracy Requirements: Only rounding errors are allowed
|
PFE
|
(T1)Time_Sensitive_Data_Fetching_102
|
欧元兑人民币最新汇率中间价
|
必答点：欧元兑人民币最新汇率中间价（单位：人民币/欧元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
EURCNY.EX
|
EURCNYC
|
{"EURCNY___EX":{"RT_TIME":"91509","RT_LAST":"8.364700000000001","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_103
|
Latest stock price of PayPal (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PYPL.O
|
105.PYPL.USA
|
{"PYPL___O":{"RT_TIME":"200000","RT_LAST":"70.63","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: PayPal's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
PYPL
|
(T1)Time_Sensitive_Data_Fetching_103
|
英镑兑人民币最新汇率中间价
|
必答点：英镑兑人民币最新汇率中间价（单位：人民币/英镑）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
GBPCNY.EX
|
GBPCNYC
|
{"GBPCNY___EX":{"RT_TIME":"91509","RT_LAST":"9.7074","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_104
|
Latest stock price of Block (XYZ) on NYSE
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
XYZ.N
|
106.XYZ.USA
|
{"XYZ___N":{"RT_TIME":"200001","RT_LAST":"76.95","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Block
Accuracy Requirements: Only rounding errors are allowed
|
XYZ
|
(T1)Time_Sensitive_Data_Fetching_104
|
新西兰元兑人民币最新中间价
|
必答点：新西兰元兑人民币最新汇率中间价（单位：人民币/新西兰元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
NZDCNY.EX
|
NZDCNYC
|
{"NZDCNY___EX":{"RT_TIME":"91509","RT_LAST":"4.2757000000000005","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_105
|
Latest stock price of Goldman Sachs(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
GS.N
|
106.GS.USA
|
{"GS___N":{"RT_TIME":"200001","RT_LAST":"744.69","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Goldman Sachs
Accuracy Requirements: Only rounding errors are allowed
|
GS
|
(T1)Time_Sensitive_Data_Fetching_105
|
人民币兑韩元最新汇率中间价
|
必答点：人民币兑韩元最新汇率中间价（单位：韩元/人民币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
CNYKRW.EX
|
CNYKRWC
|
{"CNYKRW___EX":{"RT_TIME":"91509","RT_LAST":"192.73000000000002","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_106
|
Latest stock price of NextEra Energy (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
NEE.N
|
106.NEE.USA
|
{"NEE___N":{"RT_TIME":"200001","RT_LAST":"72.3","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: NextEra Energy latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
NEE
|
(T1)Time_Sensitive_Data_Fetching_106
|
港元兑人民币最新中间价
|
必答点：港元兑人民币最新汇率中间价（单位：人民币/港元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
HKDCNY.EX
|
HKDCNYC
|
{"HKDCNY___EX":{"RT_TIME":"91509","RT_LAST":"0.90887","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_107
|
Latest stock price of Caterpillar(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
CAT.N
|
106.CAT.USA
|
{"CAT___N":{"RT_TIME":"200001","RT_LAST":"413.7","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Caterpillar's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
CAT
|
(T1)Time_Sensitive_Data_Fetching_107
|
瑞郎兑人民币最新中间价
|
必答点：瑞郎兑人民币最新汇率中间价（单位：人民币/瑞郎）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
CHFCNY.EX
|
CHFCNYC
|
{"CHFCNY___EX":{"RT_TIME":"91509","RT_LAST":"8.8736","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_108
|
Boeing's latest closing price (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BA.N
|
106.BA.USA
|
{"BA___N":{"RT_TIME":"195930","RT_LAST":"233.37","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Boeing's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
BA
|
(T1)Time_Sensitive_Data_Fetching_108
|
新加坡元兑人民币最新中间价
|
必答点：新加坡元兑人民币最新汇率中间价（单位：人民币/新加坡元）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
SGDCNY.EX
|
SGDCNYC
|
{"SGDCNY___EX":{"RT_TIME":"91509","RT_LAST":"5.580900000000001","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_109
|
Latest closing price of Union Pacific (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
UNP.N
|
106.UNP.USA
|
{"UNP___N":{"RT_TIME":"200001","RT_LAST":"223.18","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Union Pacific
Accuracy Requirements: Only rounding errors are allowed
|
UNP
|
(T1)Time_Sensitive_Data_Fetching_109
|
人民币兑卢布最新中间价
|
必答点：人民币兑俄罗斯卢布最新汇率中间价（单位：卢布/人民币）
只需答对中间价即可。若与其他汇率（在岸离岸汇率等）实时信息中的值不一致，不扣分。
精度要求：仅允许四舍五入误差
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
CNYRUB.EX
|
CNYRUBC
|
{"CNYRUB___EX":{"RT_TIME":"91509","RT_LAST":"11.0807","RT_DATE":"20250814"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_110
|
The latest closing price of Lockheed Martin (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
LMT.N
|
106.LMT.USA
|
{"LMT___N":{"RT_TIME":"200001","RT_LAST":"442.57","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Lockheed Martin's recent closing price
Accuracy Requirements: Only rounding errors are allowed
|
LMT
|
(T1)Time_Sensitive_Data_Fetching_110
|
欧元兑人民币离岸的最新价格
|
必答点：欧元兑离岸人民币最新价格（单位：人民币/欧元）
只需答对离岸汇率即可，与其他汇率（中间价，在岸汇率等）实时信息不一样的不扣分
精度要求：答案落在最高价最低价区间即可
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
EURCNH.FX
|
EURCNH
|
{"EURCNH___FX":{"RT_TIME":"83525","RT_LAST":"8.3772","RT_DATE":"20250814","RT_HIGH":"8.4121","RT_LOW":"8.362400000000001"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_111
|
Latest closing price of Rivian's US stocks
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
RIVN.O
|
105.RIVN.USA
|
{"RIVN___O":{"RT_TIME":"200000","RT_LAST":"12.280000000000001","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Rivian's latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
RIVN
|
(T1)Time_Sensitive_Data_Fetching_111
|
美元兑人民币离岸的最新价格
|
必答点：美元兑离岸人民币最新价格（单位：人民币/美元）
只需答对离岸汇率即可，与其他汇率（中间价，在岸汇率等）实时信息不一样的不扣分
精度要求：答案落在最高价最低价区间即可
|
【问题】：{prompt}
【评分标准】：
{response_reference}
【实时信息】：
{ground_truth}
【学生回复】：
{response}
|
你是一个严格的判官。你的任务是根据金融问题、我提供的真实实时信息以及评分标准，给学生关于金融问题的回复打分。1分代表学生回复满足要求，0分代表不满足。请先分析再给出最终分数，最终分数如果打1分请输出{"score":1}，打0分则输出{"score":0}。你必须输出严格的json。
具体规则如下：
- 如果学生回复为空，打0分。
- 如果学生回复不为空，而真实实时信息的数据是空的（没有数字），打分输出{"score":"null"}
- "评分标准-必答点"是学生必须至少回答出来的内容。
- 如果学生回复不满足必答点（缺内容）则打0分。
- 学生对于必答点给出多个相互矛盾的数字且有的数字不满足评分标准的阈值范围要求则要扣分。
- 学生多答其他内容不算错，不扣分。
- 比如必答点是"美元兑人民币最新在岸价格"，模型在正确回答在岸的基础上还给出了离岸价格、中间价、在岸买入价和卖出价，以及再前几天的在岸价格，即便这些信息与"真实实时信息"数字不一致也不扣分；而模型给出了多个不同数据源的最新在岸价，有的数据不满足评分标准中的要求，则要扣分。
- 你仅需关注信息本身，无需关注时间，无需因为问"最新价格"而学生只回复了"x月x日价格"而扣分。
- "真实实时信息"是对于题目的用户问题和询问时间的**正确回复信息**，你应该完全相信它。如果学生回复满足必答点，请以真实实时信息为ground truth核对学生回答是否正确，并按照"评分标准-精度要求"评分，满足要求1分，不满足0分。
- 如果"评分标准-精度要求"是"仅允许四舍五入误差"，则允许学生给的数字和真实实时信息有因保留小数位数不同而造成的四舍五入的误差。比如12.26 vs 12.256视为一致，给1分。
- 如果"评分标准-精度要求"是"答案落在最高价最低价区间即可",则学生给的数字落在真实实时信息中的最大值和最小值之间即可，同时仅允许四舍五入误差。比如真实实时信息给的最大值12.256，最小值12.152，则学生答案12.26视为落在正确区间给1分，而学生答案12.27视为没落在正确区间给0分。
- 如果"评分标准-精度要求"是"允许误差范围绝对数值±xx"，则学生给的数字落在真实实时信息数字的±xx之内都算对。比如要求"允许误差范围绝对数值±0.01%"，真实实时信息中的数字是13.56%，则学生答案落在[13.55%,13.57%]都算对，给1分；没落在该区间给0分。
- 如果"评分标准-精度要求"是"在最高价最低价区间基础上扩大范围绝对数值a"，则正确的范围是真实实时信息中的"最大值+a"到"最小值-a"之间。
注意：
- 你仅需核对股价/指数等数值，无需核对日期，只要股价/指数的数值正确代表学生回复正确。你无需因为学生回复"最新/昨日"而参考信息中时间是特定的"x月x日"而扣分，也无需因为学生回复的日期和参考信息对不齐而扣分（毕竟存在时区以及交易日/自然日口径问题）。
- 真实实时信息中"昨收"和"收盘价"是不同的概念，"收盘价"是所查日期当天的收盘价，"昨收"是再前一个交易日的收盘价。
以下示例中的时间均为虚构，请勿参考具体数字
示例1：
【问题】：今天NVDA的股市如何？
【评分标准】：
必答点：英伟达最新的开盘价、最高价、最低价、涨跌幅度（百分比）
精度要求：仅允许四舍五入误差
【实时信息】：
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
【学生回复】：
根据北京时间4月27日17:47的最新消息，截至美东最近交易日收盘，英伟达（NVDA）的股价下跌0.59%。
当日英伟达股价开盘价为112.91美元，最高价114.67美元，最低价112.66美元，成交量1.3亿，成交额151.5亿美元。盘后股价为113.28美元，较收盘价下跌0.54美元，跌幅0.47%。
【你的输出】：
分析：
学生回复是否满足必答点：是；
该数字是否一致（仅允许四舍五入误差）：开盘价、最高价、最低价仅存在四舍五入误差，因此是一致的；学生回复‘跌幅0.47%’与实时信息的‘"change_percent": "-0.59%"’不一致；
不满足全部要求，最终得0分；
分数：
{"score":0}
示例2：
【问题】：人民币兑美元在岸汇率
【评分标准】：
必答点：人民币兑美元最新在岸汇率
精度要求：答案落在最高价最低价区间即可
【实时信息】：
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605",
}
【学生回复】：
截至2025年6月5日北京时间03:00，在岸人民币兑美元（CNY）收报7.1905元，较前一交易日夜盘收盘跌26点，成交量360.94亿美元。
此外，2025年6月5日银行间外汇市场人民币汇率中间价为1美元对人民币7.1729元，较前一交易日调升32基点。
【你的输出】：
分析：
学生答出了必答点：是；
该数字是否满足精度要求：实时信息的阈值范围是[7.1855,7.1934]，学生回复的数字7.1905落在该范围内，满足要求。
最终分数：{"score":1}
示例3：
【问题】：comex黄金最新价格
【评分标准】：
必答点：comex黄金最新价格
精度要求：允许误差范围绝对数值±0.6
【实时信息】：
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
【学生回复】：
根据同花顺期货通数据，截至 2025 年 6 月 18 日 23:22，纽约金（COMEX 黄金期货）价格为 3382.7 美元 / 盎司，较前一交易日下跌 25.4 美元，跌幅为 0.75%，最高达到 3405.2 美元 / 盎司，最低为 3363.6 美元 / 盎司
【你的输出】：
分析：
学生答案满足必答点：是；
数字是否满足精度要求：实时信息的阈值3383.2000±0.6，即[3382.6000,3383.8000]，学生回复的数字3382.7落在该范围内，满足要求。
最终分数：{"score":1}
示例4：
【问题】：最新苹果股价
【评分标准】：
必答点：苹果最新股价（即最新收盘价）
精度要求：仅允许四舍五入误差
【实时信息】：
"AAPL.O": {"RT_TIME": "200000", "RT_LAST": "214.05", "RT_DATE": "20250728"}
【学生回复】：
苹果最新股价$214.05 USD。另有数据源显示苹果最新股价：开盘价$214.70，收盘价$213.88
【你的输出】：
分析：
学生答案满足必答点：是；
该数字是否满足精度要求：学生回复中苹果最新股价$214.05 USD和实时信息一致，而收盘价$213.88不满足精度要求。
最终分数：{"score":0}
========示例结束，以下是你的任务========
|
Time-Sensitive_Data_Fetching(Greater China)
|
USDCNH.FX
|
USDCNH
|
{"USDCNH___FX":{"RT_TIME":"83518","RT_LAST":"7.176959999999999","RT_DATE":"20250814","RT_HIGH":"7.18183","RT_LOW":"7.167599999999999"}}
|
2025/8/14
| null | null |
(T1)Time_Sensitive_Data_Fetching_112
|
Latest closing price of Palantir's stock in the US market
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PLTR.O
|
105.PLTR.USA
|
{"PLTR___O":{"RT_TIME":"200000","RT_LAST":"184.37","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: Palantir latest closing price
Accuracy Requirements: Only rounding errors are allowed
|
PLTR
|
(T1)Time_Sensitive_Data_Fetching_113
|
Vistra's latest closing price in the US stock market
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
VST.N
|
106.VST.USA
|
{"VST___N":{"RT_TIME":"195810","RT_LAST":"205.28","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Vistra
Accuracy Requirements: Only rounding errors are allowed
|
VST
|
(T1)Time_Sensitive_Data_Fetching_114
|
Snowflake's stock latest closing price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
SNOW.N
|
106.SNOW.USA
|
{"SNOW___N":{"RT_TIME":"200001","RT_LAST":"196.87","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Snowflake
Accuracy Requirements: Only rounding errors are allowed
|
SNOW
|
(T1)Time_Sensitive_Data_Fetching_115
|
Latest closing price of First Solar (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
FSLR.O
|
105.FSLR.USA
|
{"FSLR___O":{"RT_TIME":"200000","RT_LAST":"184.84","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of First Solar
Accuracy Requirements: Only rounding errors are allowed
|
FSLR
|
(T1)Time_Sensitive_Data_Fetching_116
|
Latest closing price of Bloom Energy(NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BE.N
|
106.BE.USA
|
{"BE___N":{"RT_TIME":"200001","RT_LAST":"44.08","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Bloom Energy
Accuracy Requirements: Only rounding errors are allowed
|
BE
|
(T1)Time_Sensitive_Data_Fetching_117
|
Disney's latest closing price on the NYSE
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
DIS.N
|
106.DIS.USA
|
{"DIS___N":{"RT_TIME":"200000","RT_LAST":"116.64","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Disney
Accuracy Requirements: Only rounding errors are allowed
|
DIS
|
(T1)Time_Sensitive_Data_Fetching_118
|
The latest trading day's closing price of Wells Fargo (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
WFC.N
|
106.WFC.USA
|
{"WFC___N":{"RT_TIME":"195942","RT_LAST":"77.89","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Wells Fargo
Accuracy Requirements: Only rounding errors are allowed
|
WFC
|
(T1)Time_Sensitive_Data_Fetching_119
|
Closing price of Bank of America's stock on the latest trading day (allowing for rounding errors)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
BAC.N
|
106.BAC.USA
|
{"BAC___N":{"RT_TIME":"195959","RT_LAST":"47.24","RT_DATE":"20250813"}}
|
2025/8/14
|
Required Content: The latest closing price of Bank of America
Accuracy Requirements: Only rounding errors are allowed
|
BAC
|
(T1)Time_Sensitive_Data_Fetching_120
|
The latest trading day's low price of Apple (NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
AAPL.O
|
105.AAPL.USA
|
{"AAPL___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"230.43"}}
|
2025/8/14
|
Required Content: The latest low price of Apple
Accuracy Requirements: Only rounding errors are allowed
|
AAPL
|
(T1)Time_Sensitive_Data_Fetching_121
|
Low price for NVIDIA (NASDAQ) on the latest trading day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
NVDA.O
|
105.NVDA.USA
|
{"NVDA___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"179.35"}}
|
2025/8/14
|
Required Content: The latest lowest price of NVIDIA
Accuracy Requirements: Only rounding errors are allowed
|
NVDA
|
(T1)Time_Sensitive_Data_Fetching_122
|
The latest low stock price of Amazon(NASDAQ)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
AMZN.O
|
105.AMZN.USA
|
{"AMZN___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"222"}}
|
2025/8/14
|
Required Content: The latest lowest price of Amazon
Accuracy Requirements: Only rounding errors are allowed
|
AMZN
|
(T1)Time_Sensitive_Data_Fetching_123
|
Oracle's latest low price (NYSE)
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
ORCL.N
|
106.ORCL.USA
|
{"ORCL___N":{"RT_TIME":"195940","RT_DATE":"20250813","RT_LOW":"242.635"}}
|
2025/8/14
|
Required Content: The latest low price of Oracle
Accuracy Requirements: Only rounding errors are allowed
|
ORCL
|
(T1)Time_Sensitive_Data_Fetching_124
|
Lowest stock price for Coca-Cola for the latest trading day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
KO.N
|
106.KO.USA
|
{"KO___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"70.23"}}
|
2025/8/14
|
Required Content: The latest lowest price of Coca-Cola
Accuracy Requirements: Only rounding errors are allowed
|
KO
|
(T1)Time_Sensitive_Data_Fetching_125
|
PepsiCo (NYSE) latest low stock price
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PEP.O
|
105.PEP.USA
|
{"PEP___O":{"RT_TIME":"200000","RT_DATE":"20250813","RT_LOW":"146.85"}}
|
2025/8/14
|
Required Content: The latest lowest price of PepsiCo
Accuracy Requirements: Only rounding errors are allowed
|
PEP
|
(T1)Time_Sensitive_Data_Fetching_126
|
Low stock price for Procter & Gamble (NYSE) on the latest day
| null |
<Question>: {prompt}
<Scoring Criteria>:
{response_reference}
<Real-time Authentic Information>:
{ground_truth}
<Student Answer>:
{response}
|
You are a strict judge. Your task is to score a student's response to a financial question based on the question itself, the Real-time Authentic Information I provide, and the Scoring Criteria. A score of 1 means the student's response meets the requirements, and 0 means it does not. Please provide your analysis first, then give the final score. If the final score is 1, output `{"score":1}`; if it is 0, output `{"score":0}`. You must output strict JSON.
The specific rules are as follows:
- If the Student Answer is empty, score 0.
- If the Student Answer is not empty, but the data in the Real-time Authentic Information is empty (contains no numbers), output `{"score":"null"}`.
- The "Scoring Criteria - Required Content" is the minimum information the student must provide. If the student's response does not meet the Required Content (e.g., is missing content), score 0. Providing extra information is not an error and will not result in a deduction. You only need to focus on the information itself, not the time. You should not deduct points because the question asks for the "latest price" and the student only provides the "price on month x, day x."
- The "Real-time Authentic Information" is the **correct response information** for the user's question at the time of inquiry, and you should completely trust it. If the student's response meets the Required Content, use the Real-time Authentic Information as the ground truth to verify the correctness of the student's answer. Score it according to the "Scoring Criteria - Accuracy Requirements": score 1 if it meets the requirements, and 0 if it does not.
- If the "Scoring Criteria - Accuracy Requirements" is "Only rounding errors are allowed," it means a difference between the student's number and the real-time information is permissible if it's caused by rounding to a different number of decimal places. For example, 12.26 vs. 12.256 is considered a match, scoring 1.
- If the "Scoring Criteria - Accuracy Requirements" is "Any answer between the high and low price is considered correct," it means the student's number is correct if it falls between the maximum and minimum values provided in the Real-time Authentic Information. Rounding errors are also allowed. For example, if the Real-time Authentic Information gives a high of 12.256 and a low of 12.152, a student answer of 12.26 is considered within the correct range and scores 1, while an answer of 12.27 is not and scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "The allowable error range is an absolute value of ±xx," it means the student's number is correct if it falls within the range of the Real-time Authentic Information's number ±xx. For example, if the requirement is "The allowable error range is an absolute value of ±0.01%," and the number in the Real-time Authentic Information is 13.56%, then any student answer within the range [13.55%, 13.57%] is correct and scores 1; otherwise, it scores 0.
- If the "Scoring Criteria - Accuracy Requirements" is "Expand the high-low price range by an absolute value of a," the correct range is from "minimum value - a" to "maximum value + a" based on the Real-time Authentic Information.
Note:
- You only need to verify numerical values like stock prices/indices, not dates. As long as the numerical values are correct, the student's response is considered correct. You should not deduct points if the student's response mentions "latest/yesterday" while the reference information specifies a particular date (e.g., "Month X, Day Y"), nor should you deduct points if the dates do not align (due to potential issues with time zones, trading days vs. calendar days, etc.).
The following examples use fictional dates and numbers. So do not refer to the specific figures.
Example 1:
<Question>: How is NVDA's stock market performance today?
<Scoring Criteria>:
Required Content: NVIDIA's latest opening price, high price, low price, and change percentage.
Accuracy Requirements: Only rounding errors are allowed
<Real-time Authentic Information>:
{
"data": {
"symbol": "NVDA",
"open": "112.905",
"high": "114.665",
"low": "112.660",
"price": "113.820",
"latest_trading_day": "20250426",
"previous_close": "114.500",
"change": "-0.680",
"change_percent": "-0.59%"
}
}
<Student Answer>:
According to the latest news as of 17:47 Beijing time on April 27, at the close of the most recent U.S. trading day, NVIDIA's (NVDA) stock price fell by 0.59%.
On that day, NVIDIA's opening price was $112.91, the high was $114.67, the low was $112.66, the volume was 130 million, and the turnover was $15.15 billion. The after-hours price was $113.28, down $0.54 from the closing price, a decrease of 0.47%.
<Your Output>:
Analysis:
Does the student's answer meet the Required Content: Yes;
Are the numbers consistent (allowing for rounding errors): The opening, high, and low prices are consistent, with only rounding errors; The student's answer about the change percentage (-0.47%) is not consistent with the real-time information's "change_percent": "-0.59%".
Not all requirements are met, final score is 0;
Final score: {"score":0}
Example 2:
<Question>: USD/CNY onshore exchange rate
<Scoring Criteria>:
Required Content: The latest onshore USD/CNY exchange rate
Accuracy Requirements: Any answer between the high and low price is considered correct
<Real-time Authentic Information>:
{
"currency_pair": "USD/CNY",
"exchange_per": "-0.0403",
"exchange_range": "-0.0029",
"exchange_rate": "7.1871",
"exchange_rate_hi": "7.1934",
"exchange_rate_lo": "7.1855",
"open_exchange_rate": "7.1900",
"pre_close_exchange_rate": "7.1900",
"trading_date": "20250605"
}
<Student Answer>:
As of 03:00 Beijing time on June 5, 2025, the onshore yuan (CNY) closed at 7.1905 against the US dollar, down 26 points from the previous trading day's night session close, with a trading volume of $36.094 billion.
Additionally, on June 5, 2025, the central parity rate of the RMB in the inter-bank foreign exchange market was 7.1729 yuan per US dollar, an appreciation of 32 basis points from the previous trading day.
<Your Output>:
Analysis:
Did the student answer the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold range from the real-time information is [7.1855, 7.1934]. The student's answer, 7.1905, falls within this range and meets the requirement.
Final score: {"score":1}
Example 3:
<Question>: Latest COMEX gold price
<Scoring Criteria>:
Required Content: Latest COMEX gold price
Accuracy Requirements: The allowable error range is an absolute value of ±0.6
<Real-time Authentic Information>:
{
"res": {
"request": "w.wsq(\"GC.CMX\",\"rt_date,rt_time,rt_last\")",
"code": 0,
"data": {
"GC.CMX": {
"RT_DATE": 20250619,
"RT_TIME": 90628,
"RT_LAST": 3383.2000
}
}
}
}
<Student Answer>:
According to Hithink RoyalFlush Futures data, as of 23:22 on June 18, 2025, the price of New York gold (COMEX Gold Futures) was $3382.7 / ounce, down $25.4 from the previous trading day, a decrease of 0.75%, with a high of $3405.2 / ounce and a low of $3363.6 / ounce.
<Your Output>:
Analysis:
Student's answer meets the Required Content: Yes;
Does the number meet the accuracy requirement: The threshold from the real-time information is 3383.2000 ± 0.6, which is [3382.6000, 3383.8000]. The student's answer, 3382.7, falls within this range and meets the requirement.
Final score: {"score":1}
========End of examples, this is your task========
|
Time-Sensitive_Data_Fetching(Global)
|
PG.N
|
106.PG.USA
|
{"PG___N":{"RT_TIME":"200001","RT_DATE":"20250813","RT_LOW":"154.95000000000002"}}
|
2025/8/14
|
Required Content: The latest lowest price of Procter & Gamble
Accuracy Requirements: Only rounding errors are allowed
|
PG
|
Subsets and Splits
Global Labels in T3 Prompts
The query retrieves all records with a label containing 'Global' and a prompt_id containing 'T3', providing basic filtering but limited analytical value.
Filter Global Labels, T2 IDs
Retrieves records with specific labels and prompt IDs, providing limited filtered data that doesn't offer deep insights.
Global Labels from Train Set
The query filters the dataset for rows containing 'Global' in the label and 'T1' in the prompt_id, providing a basic subset of the data with limited analytical insight.
Training Data with T2 Id
Retrieves all records from the train dataset where the prompt_id contains 'T2', providing a basic filtered view of specific prompts.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of entries with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of records with a specific label, providing basic filtering but minimal analytical insight.
SQL Console for ByteSeedXpert/FinSearchComp
Retrieves a limited number of samples with a specific label, providing basic filtering but minimal analytical insight.