Asap7772/elix_multiuser_eval_4shot_infipo1e7initbeta0.05_winrate_gpt-4o_pref_train

该数据集包含了多个特征字段，如提示信息(prompt)、不同级别的标识符(level_x, level_id_x, level_y, level_id_y)、模型名称(model_name_x, model_name_y)、响应(response_x, response_y)、评分者级别(scorer_level, scorer_level_id)、标签(label)和检测选择(det_choice)。这些字段可能是用于某种文本生成或评估任务的。训练集的大小为7842766字节，共有1102个示例。但是，数据集的具体内容和用途没有在README中描述，因此无法提供更详细的中文描述。

The dataset includes multiple feature fields such as prompt, identifiers for different levels (level_x, level_id_x, level_y, level_id_y), model names (model_name_x, model_name_y), responses (response_x, response_y), scorer levels (scorer_level, scorer_level_id), label, and detection choice (det_choice). These fields might be used for some text generation or evaluation task. The training set is 7842766 bytes in size and contains 1102 examples. However, the specific content and purpose of the dataset are not described in the README, so no detailed description can be provided.