reasoning-proj/labels_all_continuations_sentences

该数据集包含了多个字段，如问题ID、参考答案、模型名称、干预类型、续写索引、验证者得分、句子内容和怀疑标记等。这些字段表明数据集可能是用于自然语言处理任务，例如文本验证或问题回答。数据集被划分为训练集，大小为2,288,699,327字节，共有13,375,983个示例。配置信息指出训练数据可以通过指定的路径访问。

The dataset includes fields such as problem ID, reference answer, model name, intervention type, continuation index, verifier score, sentence content, and doubt flag. These fields suggest that the dataset might be used for natural language processing tasks, such as text verification or question answering. The dataset is split into a training set, which is 2,288,699,327 bytes in size and contains 13,375,983 examples. The configuration information indicates that the training data can be accessed via specified paths.