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import json
import os
import gzip
import requests
import pandas as pd
urls = {
'dev1': 'https://home.ttic.edu/~kgimpel/comsense_resources/dev1.txt.gz',
'dev2': 'https://home.ttic.edu/~kgimpel/comsense_resources/dev2.txt.gz',
'test': 'https://home.ttic.edu/~kgimpel/comsense_resources/test.txt.gz'
}
exclude = ['NotCapableOf', 'NotDesires']
def wget(url, cache_dir: str = './cache'):
""" wget and uncompress data_iterator """
os.makedirs(cache_dir, exist_ok=True)
filename = os.path.basename(url)
path = f'{cache_dir}/{filename}'
if os.path.exists(path):
return path.replace('.gz', '')
with open(path, "wb") as _f:
r = requests.get(url)
_f.write(r.content)
with gzip.open(path, 'rb') as _f:
with open(path.replace('.gz', ''), 'wb') as f_write:
f_write.write(_f.read())
os.remove(path)
return path.replace('.gz', '')
def read_file(file_name):
with open(file_name) as f_reader:
df = pd.DataFrame([i.split('\t') for i in f_reader.read().split('\n') if len(i) > 0],
columns=['relation', 'head', 'tail', 'flag'])
df_positive = df[df['flag'] == '1']
df_positive.pop('flag')
return df_positive
if __name__ == '__main__':
test = read_file(wget(urls['test']))
with open(f'dataset/test.jsonl', 'w') as f:
f.write("\n".join([json.dumps(i.to_dict()) for _, i in test.iterrows()]))
dev1 = read_file(wget(urls['dev1']))
with open(f'dataset/train.jsonl', 'w') as f:
f.write("\n".join([json.dumps(i.to_dict()) for _, i in dev1.iterrows()]))
dev2 = read_file(wget(urls['dev2']))
with open(f'dataset/valid.jsonl', 'w') as f:
f.write("\n".join([json.dumps(i.to_dict()) for _, i in dev2.iterrows()]))
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