Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
hate-speech-detection
Languages:
English
Size:
10K - 100K
License:
| # FSTDT Quotes dataset loading script | |
| import os | |
| import json | |
| import datasets | |
| class FSTDTQuotes(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description='Quotes submitted to FSTDT', | |
| features=datasets.Features({ | |
| 'id': datasets.Value('string'), | |
| 'submitter': datasets.Value('string'), | |
| 'timestamp': datasets.Value('string') | |
| 'name': datasets.Value('string'), | |
| 'src_url': datasets.Value('string'), | |
| 'tags': datasets.Sequence(datasets.Value('string')), | |
| 'quote': datasets.Value('string') | |
| }) | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_files = dl_manager.download_and_extract({ | |
| 'train': 'train.json', | |
| 'validation': 'validation.json', | |
| 'test': 'test.json' | |
| }) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={'filepath': data_files['train']} | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={'filepath': data_files['validation']} | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={'filepath': data_files['test']} | |
| ) | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath) as f: | |
| for key, row in enumerate(f): | |
| yield key, json.loads(row) | |