FlippyDora/Mistral_math500_8_orm_Deepseek
收藏Hugging Face2025-02-06 更新2025-02-15 收录
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https://hf-mirror.com/datasets/FlippyDora/Mistral_math500_8_orm_Deepseek
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资源简介：
该数据集包含四个特征字段：问题、输出、标签和得分。问题可能是机器学习模型需要回答或处理的问题，输出是模型的预测结果，标签是用于监督学习的真实答案，得分可能是模型预测的置信度或其他评分指标。数据集仅包含一个训练集，共有500个示例。数据集的总大小为2,592,723字节。
The dataset includes four feature fields: question, outputs, label, and scores. The question might be the task or query that the machine learning model needs to address, outputs are the predictions made by the model, the label is the ground truth for supervised learning, and scores could be the confidence of the models predictions or other scoring metrics. The dataset contains only a training set with 500 examples. The total size of the dataset is 2,592,723 bytes.
提供机构：
FlippyDora
