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" } os.makedirs("dataset", exist_ok=True) 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 = df[df['flag'] != '0'] df.pop('flag') df = df[[not i.startswith("Not") for i in df.relation]] return df 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 train.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()]))