Asap7772/steered_reviews_full_autolabel_gpt4o_pref_train

该数据集包含了多个字符串和整数类型的字段，用于描述某种任务中的输入和输出，如提示文本(prompt)、不同级别的标识符(level_x, level_y)、模型名称(model_name_x, model_name_y)以及响应(response_x, response_y)。此外，还包含了评分者的级别(scorer_level)和标识符(scorer_level_id)，以及用于分类任务的标签(label)和决策选择(det_choice)。数据集分为训练集(train)等部分，训练集包含129600个示例，大小为491174256字节。

The dataset contains multiple fields with string and int64 data types, used to describe inputs and outputs for a certain task, such as prompt text, identifiers for different levels (level_x, level_y), model names (model_name_x, model_name_y), and responses (response_x, response_y). It also includes the scorers level (scorer_level) and identifier (scorer_level_id), as well as a label (label) and decision choice (det_choice) for classification tasks. The dataset is split into sections like the training set (train), which contains 129600 examples and is 491174256 bytes in size.