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mlfoundations-dev/multiple_samples_ground_truth_openr1_llm_verifier_cheat

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Hugging Face2025-03-02 更新2025-04-12 收录
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资源简介:
这是一个包含对话、问题、解决方案、答案等信息的训练数据集,适用于文本生成和理解相关的NLP任务。数据集包含多个字段,如发起者、对话内容、问题类型、答案正确性验证等。此外,数据集还区分了有效和无效的问题及解决方案,并提供了数据生成次数和验证信息。数据集分为训练集,其大小为约93GB,共有约100万条示例。

This is a training dataset containing conversations, problems, solutions, answers, and other information, suitable for NLP tasks related to text generation and understanding. The dataset includes multiple fields such as initiator, conversation content, problem type, answer correctness verification, etc. In addition, the dataset distinguishes between valid and invalid problems and solutions, and provides data generation count and verification information. The dataset is split into a training set, which is about 93GB in size and contains about 1 million examples.
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