mlfoundations-dev/pos_neg_ablation_instruction_filtering_seed_math_best_automath

这是一个包含对话和推理过程的数据集，其中每个样本都包括了指令种子(instruction_seed)、数据来源(source)、推理过程(reasoning)、DeepSeek解决方案(deepseek_solution)、原始行索引(__original_row_idx)、最终推理轨迹(final_reasoning_trace)和会话(conversations)等字段。会话字段是一个列表，包含了发言者(from)和发言内容(value)。数据集分为训练集(train)，共有10000个示例，大小为460464421字节。

This dataset contains conversations and reasoning processes, with each sample including fields such as instruction_seed, source, reasoning, deepseek_solution, __original_row_idx, final_reasoning_trace, and conversations. The conversations field is a list that includes the speaker (from) and the content of the speech (value). The dataset is split into a training set (train) with a total of 10,000 examples, totaling 460,464,421 bytes in size.