mlfoundations-dev/instruction_filtering_scale_up_math_base_askllm_8K

该数据集包含了多个字段，如指令种子(instruction_seed)、来源(source)、是否使用(to_be_used)、分类器推理(classifier_reasoning)、原始行索引(__original_row_idx)、推理(reasoning)、DeepSeek解决方案(deepseek_solution)、最终推理轨迹(final_reasoning_trace)以及会话信息(conversations)。数据集分为训练集(train)，包含8000个示例，大小为418,422,419字节。数据集还提供了默认配置，包括训练集数据文件的路径。

The dataset includes multiple fields such as instruction_seed, source, to_be_used, classifier_reasoning, __original_row_idx, reasoning, deepseek_solution, final_reasoning_trace, and conversation information. The dataset is split into a training set (train) containing 8000 examples and is 418,422,419 bytes in size. The dataset also provides a default configuration, including the path to the training set data files.