TAUR-dev/raw__BC__long_multiplication_qwen7b

该数据集是一个文本对数据集，包含问题（question）和解决方案（solution），以及用于评估的内部cot评估（eval_internal_cot）、解决方案评估（eval_solution）、正确性判断（judge_correct）和判断理由（judge_reasoning）。此外，数据集还记录了行为提示（behavior_prompt）、行为类型（behavior_type）、行为跨度（behavior_spans）及其相关信息，如跨度开始和结束索引、解释文本等。行为跨度的数量（new_behavior_span_count）和行为总数（behavior_count）也包含在内。数据集分为训练集，共有128个示例，大小为731,950字节。

This dataset is a text pair dataset containing questions (question) and solutions (solution), as well as internal cot evaluation (eval_internal_cot), solution evaluation (eval_solution), correctness judgment (judge_correct), and judgment reasoning (judge_reasoning) for assessment. In addition, the dataset records behavior prompts (behavior_prompt), behavior types (behavior_type), behavior spans (behavior_spans) and their related information, such as span start and end indices, explanation text, etc. The count of behavior spans (new_behavior_span_count) and the total number of behaviors (behavior_count) are also included. The dataset is split into a training set with a total of 128 examples and a size of 731,950 bytes.