chore: import upstream snapshot with attribution
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import json
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from datasets import load_dataset
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class MetaMathReaderHF:
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def __init__(self, category: str):
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self.category = category
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def __call__(self, file_path: str = "meta-math/MetaMathQA"):
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data = load_dataset(file_path, split="train").to_list()
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for i, data in enumerate(data):
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data["id"] = i
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if not self.category or (self.category and self.category == "all"):
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return data
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if self.category == "math":
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return [item for item in data if "MATH" in item["type"]]
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if self.category == "gsm":
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return [item for item in data if "GSM" in item["type"]]
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raise ValueError(f"Invalid category: {self.category}")
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class MetaMathReader:
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def __init__(self, category: str = "math"):
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self.category = category
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def __call__(self, file_path: str = "meta-math/MetaMathQA"):
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data = json.load(open(file_path))
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if not self.category or (self.category and self.category == "all"):
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return data
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if self.category == "math":
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return [item for item in data if "MATH" in item["type"]]
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if self.category == "gsm":
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return [item for item in data if "GSM" in item["type"]]
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raise ValueError(f"Invalid category: {self.category}")
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