Update README.md

README.md

@@ -1,14 +1,22 @@
 ---
 license: mit
 tags:
-  - tabular
-  - text
+- tabular
+- text
 dataset_info:
-  languages: 
-    - en
-  size_categories: 
-    - 100M-1B
+  languages:
+  - en
+  size_categories:
+  - 100M-1B
   pretty_name: ShopTC-100K
+task_categories:
+- text-classification
+- summarization
+language:
+- en
+pretty_name: ShopTC-100K
+size_categories:
+- 100M<n<1B
 ---
 
 # ShopTC-100K Dataset
@@ -17,7 +25,7 @@ dataset_info:
 
 The ShopTC-100K dataset is collected using [TermMiner](https://github.com/eltsai/term_miner/), an open-source data collection and topic modeling pipeline introduced in the paper: 
 
-**Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale**
+[Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale](https://www.arxiv.org/abs/2502.01798)
 
 If you find this dataset or the related paper useful for your research, please cite our paper:
 
@@ -77,9 +85,4 @@ The dataset is structured as follows:
 | pythonanywhere.com    | We use cookies to provide social media features and to analyze our traffic. |
 | pythonanywhere.com    | 2.8 You acknowledge that clicking on Links may lead to third-party sites. |
 | pythonanywhere.com    | 3.4 No payment will be made unless and until Account verification is complete. |
-| pythonanywhere.com    | 11.3 All licenses granted to you in this agreement are non-transferable. |
-
-
-
-
-
+| pythonanywhere.com    | 11.3 All licenses granted to you in this agreement are non-transferable. |