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import os |
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import json |
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import datasets |
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class MultiGLUE(datasets.GeneratorBasedBuilder): |
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def _info(self): |
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return datasets.DatasetInfo( |
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description='A dataset consisting of all binary classification GLUE tasks', |
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features=datasets.Features({ |
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'task': datasets.Value('string'), |
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'sentence1': datasets.Value('string'), |
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'sentence2': datasets.Value('string'), |
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'label': datasets.ClassLabel(num_classes=2) |
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}) |
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) |
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def _split_generators(self, dl_manager): |
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data_files = dl_manager.download_and_extract({ |
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'train': 'train.json', |
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'validation': 'validation.json', |
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'test': 'test.json' |
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}) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={'filepath': data_files['train']} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={'filepath': data_files['validation']} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={'filepath': data_files['test']} |
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) |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath) as f: |
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for key, row in enumerate(f): |
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yield key, json.loads(row) |
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