遇见数据集

teamcore/DPO_Pm3B_RMAB_TG_clean_beta0.25dr_dpoEurus_RM_7bbt_noise_flip_paper0.3_CR_cr_trajfullg600

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Hugging Face2025-11-12 更新2025-11-15 收录
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资源简介:

该数据集包含了四个字段:提示(prompt)、选择(chosen)、响应(response)和GPT评分(gpt_score)。提示是用于引导模型生成响应的文本,选择是模型从多个候选响应中选择的最佳响应,响应是模型生成的文本,GPT评分是对响应的质量评估。数据集只有一个默认的split,共有1200个例子。

The dataset includes four fields: prompt, chosen, response, and gpt_score. The prompt is the text used to guide the model to generate a response, the chosen is the best response selected from multiple candidate responses by the model, the response is the text generated by the model, and the gpt_score is the quality assessment of the response. The dataset has only one default split, containing 1200 examples.

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