Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
import os | |
from glob import glob | |
from datasets import load_dataset | |
os.makedirs('./reference_files', exist_ok=True) | |
for split in ['validation', 'test']: | |
for domain in ["default", "books", "electronics", "grocery", "movies", "restaurants", "tripadvisor"]: | |
dataset = load_dataset('asahi417/qg_subjqa', domain, split=split) | |
for data in ['question', 'answer', 'sentence', 'paragraph']: | |
with open('./reference_files/{}-{}.{}txt'.format(data, split, "" if domain == 'default' else f"{domain}."), 'w') as f: | |
f.write('\n'.join(dataset[data])) | |
if domain != 'default': | |
length = [len(open(i).read().split('\n')) for i in glob(f'reference_files/*{split}*{domain}*.txt')] | |
assert len(list(set(length))) == 1, length | |