Asap7772/elix_multexpert_preferences_gpt-4o_pref_train

该数据集包含对话或交互式场景的样本，其中包括提示信息(prompt)、不同级别的标识符(level_x, level_y)、模型名称(model_name_x, model_name_y)、响应(response_x, response_y)等字段。此外，还包含了评分者级别(scorer_level)、标签(label)以及用于确定选择的字段(det_choice)。数据集分为训练集(train)，共有266,508个示例，文件大小为1,616,038,011字节。

The dataset consists of samples from dialogues or interactive scenarios, including fields such as prompt, level identifiers (level_x, level_y), model names (model_name_x, model_name_y), responses (response_x, response_y), etc. In addition, it contains fields for scorer level (scorer_level), label (label), and a field for determining the choice (det_choice). The dataset is split into a training set (train) with a total of 266,508 examples and a file size of 1,616,038,011 bytes.