"""
Copyright (c) Facebook, Inc. and its affiliates.
"""

import json
import sys
import spacy
from spacy.lang.en import English

tokenizer = English().Defaults.create_tokenizer()


def tokenize(st):
    return " ".join([str(x) for x in tokenizer(st)])


data_in_text_file = sys.argv[1]
data_out_json_file = sys.argv[2]

print("parsing text file")
res = []
exple = []

f_text = open(data_in_text_file)
for i, line in enumerate(f_text):
    if line.strip() == "":
        res += [(exple[:-1], json.loads(exple[-1]))]
        exple = []
    else:
        if line.startswith('"'):
            text = tokenize(line.strip()[1:-1])
            exple += [text]
        else:
            exple += [line.strip()]
    if i % 100000 == 0:
        print("read %d lines, found %d examples" % (i, len(res)))

f_text.close()

# n_train = (9 * len(res)) // 10
n_train = len(res) - 10000
n_valid = 5000
# n_valid = len(res) // 20

data = {
    "train": {"templated": res[:n_train]},
    "valid": {"templated": res[n_train : n_train + n_valid]},
    "test": {"templated": res[n_train + n_valid :]},
}

print("saving data dict")
json.dump(data, open(data_out_json_file, "w"))

28121cf99e4ea5df10df2d12ed2b8bda88357fcc
<mask token>


def tokenize(st):
    return ' '.join([str(x) for x in tokenizer(st)])


<mask token>

<mask token>


def tokenize(st):
    return ' '.join([str(x) for x in tokenizer(st)])


<mask token>
print('parsing text file')
<mask token>
for i, line in enumerate(f_text):
    if line.strip() == '':
        res += [(exple[:-1], json.loads(exple[-1]))]
        exple = []
    elif line.startswith('"'):
        text = tokenize(line.strip()[1:-1])
        exple += [text]
    else:
        exple += [line.strip()]
    if i % 100000 == 0:
        print('read %d lines, found %d examples' % (i, len(res)))
f_text.close()
<mask token>
print('saving data dict')
json.dump(data, open(data_out_json_file, 'w'))

<mask token>
tokenizer = English().Defaults.create_tokenizer()


def tokenize(st):
    return ' '.join([str(x) for x in tokenizer(st)])


data_in_text_file = sys.argv[1]
data_out_json_file = sys.argv[2]
print('parsing text file')
res = []
exple = []
f_text = open(data_in_text_file)
for i, line in enumerate(f_text):
    if line.strip() == '':
        res += [(exple[:-1], json.loads(exple[-1]))]
        exple = []
    elif line.startswith('"'):
        text = tokenize(line.strip()[1:-1])
        exple += [text]
    else:
        exple += [line.strip()]
    if i % 100000 == 0:
        print('read %d lines, found %d examples' % (i, len(res)))
f_text.close()
n_train = len(res) - 10000
n_valid = 5000
data = {'train': {'templated': res[:n_train]}, 'valid': {'templated': res[
    n_train:n_train + n_valid]}, 'test': {'templated': res[n_train + n_valid:]}
    }
print('saving data dict')
json.dump(data, open(data_out_json_file, 'w'))

<mask token>
import json
import sys
import spacy
from spacy.lang.en import English
tokenizer = English().Defaults.create_tokenizer()


def tokenize(st):
    return ' '.join([str(x) for x in tokenizer(st)])


data_in_text_file = sys.argv[1]
data_out_json_file = sys.argv[2]
print('parsing text file')
res = []
exple = []
f_text = open(data_in_text_file)
for i, line in enumerate(f_text):
    if line.strip() == '':
        res += [(exple[:-1], json.loads(exple[-1]))]
        exple = []
    elif line.startswith('"'):
        text = tokenize(line.strip()[1:-1])
        exple += [text]
    else:
        exple += [line.strip()]
    if i % 100000 == 0:
        print('read %d lines, found %d examples' % (i, len(res)))
f_text.close()
n_train = len(res) - 10000
n_valid = 5000
data = {'train': {'templated': res[:n_train]}, 'valid': {'templated': res[
    n_train:n_train + n_valid]}, 'test': {'templated': res[n_train + n_valid:]}
    }
print('saving data dict')
json.dump(data, open(data_out_json_file, 'w'))

"""
Copyright (c) Facebook, Inc. and its affiliates.
"""

import json
import sys
import spacy
from spacy.lang.en import English

tokenizer = English().Defaults.create_tokenizer()


def tokenize(st):
    return " ".join([str(x) for x in tokenizer(st)])


data_in_text_file = sys.argv[1]
data_out_json_file = sys.argv[2]

print("parsing text file")
res = []
exple = []

f_text = open(data_in_text_file)
for i, line in enumerate(f_text):
    if line.strip() == "":
        res += [(exple[:-1], json.loads(exple[-1]))]
        exple = []
    else:
        if line.startswith('"'):
            text = tokenize(line.strip()[1:-1])
            exple += [text]
        else:
            exple += [line.strip()]
    if i % 100000 == 0:
        print("read %d lines, found %d examples" % (i, len(res)))

f_text.close()

# n_train = (9 * len(res)) // 10
n_train = len(res) - 10000
n_valid = 5000
# n_valid = len(res) // 20

data = {
    "train": {"templated": res[:n_train]},
    "valid": {"templated": res[n_train : n_train + n_valid]},
    "test": {"templated": res[n_train + n_valid :]},
}

print("saving data dict")
json.dump(data, open(data_out_json_file, "w"))
