Upload create_dataset.py
Browse files- create_dataset.py +3 -2
create_dataset.py
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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", "fr")
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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.rename_column("stars", "label")
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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.to_json(f"{split}.jsonl")
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if __name__ == "__main__":
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main()
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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", "fr")
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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.rename_column("stars", "label")
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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_text": str(x["label"])}, num_proc=4)
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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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