|
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', |
|
'train': "https://home.ttic.edu/~kgimpel/comsense_resources/train600k.txt.gz" |
|
} |
|
|
|
|
|
|
|
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') |
|
|
|
df_positive = df_positive[[not i.startswith("Not") for i in df_positive.relation]] |
|
return df_positive |
|
|
|
|
|
if __name__ == '__main__': |
|
with open(f'dataset/test.jsonl', 'w') as f: |
|
test = read_file(wget(urls['test'])) |
|
f.write("\n".join([json.dumps(i.to_dict()) for _, i in test.iterrows()])) |
|
|
|
with open(f'dataset/train.jsonl', 'w') as f: |
|
train = read_file(wget(urls['train'])) |
|
f.write("\n".join([json.dumps(i.to_dict()) for _, i in dev1.iterrows()])) |
|
|
|
with open(f'dataset/valid.jsonl', 'w') as f: |
|
dev1 = read_file(wget(urls['dev1'])) |
|
dev2 = read_file(wget(urls['dev2'])) |
|
f.write("\n".join([json.dumps(i.to_dict()) for _, i in dev1.iterrows()] + [json.dumps(i.to_dict()) for _, i in dev2.iterrows()])) |
|
|
