mlfoundations-dev/instruction_filtering_scale_up_math_base_askllm

该数据集包含多个特征字段，如指令种子(instruction_seed)、来源(source)、使用标记(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(conversations)等。会话字段包含两个子字段：发送者(from)和消息(value)。数据集分为训练集(train)，包含约1.6亿个示例，数据大小为836,868,838字节。配置部分提供了默认配置，指定了训练数据的文件路径。

The dataset includes multiple feature fields such as instruction_seed, source, to_be_used, classifier_reasoning, __original_row_idx, reasoning, deepseek_solution, final_reasoning_trace, and conversations. The conversations field contains two sub-fields: from and value. The dataset is split into a training set (train) with approximately 16 million examples, with a total size of 836,868,838 bytes. The configuration section provides a default configuration specifying the file path for the training data.