Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Source Datasets:
subjqa
ArXiv:
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 | |