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from datasets import load_dataset |
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def main(): |
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raw_dset = load_dataset("go_emotions", "simplified") |
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labels = raw_dset["train"].features["labels"].feature |
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def create_labels(row): |
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labels_columns = {} |
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for _label in labels.names: |
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labels_columns.setdefault(_label, 0) |
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labels_columns.update({labels.int2str(_l):1 for _l in row['labels']}) |
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return labels_columns |
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for split, dset in raw_dset.items(): |
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dset = dset.map(lambda x: create_labels(x), num_proc=4) |
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dset = dset.remove_columns(["id", "labels"]) |
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dset.to_json(f"{split}.jsonl") |
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if __name__ == "__main__": |
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main() |
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