drlon/domain_classifier

该数据集名为domain_classifier，包含问题ID、问题内容、选项、答案、答案索引、上下文内容、类别、来源、元数据版本、时间戳、原始文本、翻译文本、检测语言、域ID、域置信度、域置信度因素、域备选方案、域推理信息、是否需要ACE、ACE复杂度评分、是否检测到多步骤ACE、ACE多步骤指标、ACE关键因素、ACE推理信息、ACE置信度、API响应原始数据等字段。数据集分为训练集，大小为36544727字节，共12032个示例。数据集总大小为36544727字节，下载大小为14869303字节。由于README中没有提供详细描述，所以具体的应用场景和详细内容未知。

The dataset named domain_classifier includes fields such as question ID, question content, options, answer, answer index, context content, category, source, metadata version, timestamp, original text, translated text, detected language, domain ID, domain confidence, domain confidence factors, domain alternative, domain reasoning, whether it requires ACE, ACE complexity score, whether multi-step ACE is detected, ACE multi-step indicators, ACE key factors, ACE reasoning, ACE confidence, API response raw data, etc. The dataset is split into a training set, which is 36544727 bytes in size and contains 12032 examples. The total size of the dataset is 36544727 bytes, and the download size is 14869303 bytes. As no detailed description is provided in the README, the specific application scenario and detailed content are unknown.