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import json |
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import datasets |
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from datasets import Dataset, DatasetDict, Features, ClassLabel, Value |
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_URLS = { |
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f'seed_{j}_fold_{i}': { |
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"train": f"data/essay_{j}_{i}_train.jsonl.gz", |
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"validation": f"data/essay_{j}_{i}_vali.jsonl.gz", |
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"test": f"data/essay_{j}_{i}_test.jsonl.gz", |
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} |
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for j in [0, 50, 100, 150] for i in range(0,5) |
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} |
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class Essay(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=f"seed_{j}_fold_{i}") for j in [0, 50, 100, 150] for i in range(0,5) |
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] |
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DEFAULT_CONFIG_NAME = "seed_0_fold_0" |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=datasets.Features({ |
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'essay_id': Value('string'), |
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'full_text': Value('string'), |
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'score': ClassLabel(names = [1, 2, 3, 4, 5, 6], |
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id = [0, 1, 2, 3, 4, 5] |
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) |
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})) |
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def _split_generators(self, dl_manager): |
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"""Returns seed_0_fold_0Generators.""" |
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paths = dl_manager.download_and_extract(_URLS[self.config.name]) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}), |
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}), |
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}), |
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] |
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def _generate_examples(self, filepath): |
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"""Generate examples.""" |
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with open(filepath, encoding="utf-8") as f: |
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for idx, line in enumerate(f): |
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example = json.loads(line) |
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yield idx, example |