OpenDataArena/OpenDataArena-scored-data

README文件提供了关于多个数据集的详细信息，每个数据集都有自己的配置名称、特征和分割。每个数据集都包含如指令和输出等字符串特征，以及包含各种结构化字段的Q_scores，如清晰度、连贯性、完整性、复杂性、正确性、有意义性、Deita复杂性、思维概率、难度、相关性、IFD、Deita质量、奖励模型、A长度和失败率。数据集还包括关于每个分割的示例数量、字节数和下载大小的信息。这些数据集似乎与编码和数学任务相关，具有不同的规模和特征。

The README file provides detailed information about multiple datasets, each with its own configuration name, features, and splits. Each dataset contains features like instruction and output as strings, and Q_scores with various structured fields such as Clarity, Coherence, Completeness, Complexity, Correctness, Meaningfulness, Deita_Complexity, Thinking_Prob, Difficulty, Relevance, IFD, Deita_Quality, Reward_Model, A_Length, and Fail_Rate. The datasets also include information about the number of examples, bytes, and download size for each split. The datasets appear to be related to coding and mathematics tasks, with varying sizes and characteristics.