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from datasets import load_dataset |
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def main(): |
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raw_data = load_dataset("amazon_reviews_multi", "ja") |
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raw_data = raw_data.rename_column("review_id", "id") |
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raw_data = raw_data.rename_column("review_body", "text") |
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raw_data = raw_data.remove_columns(["product_id", "reviewer_id", "review_title", "language", "product_category"]) |
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for split, dataset in raw_data.items(): |
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dataset = dataset.map(lambda x: {"label": x["stars"]-1}, num_proc=4) |
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dataset = dataset.map(lambda x: {"label_text": str(x["label"])}, num_proc=4) |
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dataset = dataset.remove_columns(["stars"]) |
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dataset.to_json(f"{split}.jsonl") |
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if __name__ == "__main__": |
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main() |
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