mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_test

该数据集是一个包含多个字段的特征数据集，主要用于训练机器学习模型。它包含了指令种子(instruction_seed)、来源(source)、模型响应(r1_distill_70b_response)、原始行索引(__original_row_idx)、提取的答案(r1_distill_70b_extracted_answer)、多数响应(_majority_responses)、验证的响应(verified_r1_distill_70b_response)以及会话信息(conversations)。数据集被划分为训练集(train)，包含5399个示例，文件大小为533MB。

This dataset is a feature-rich dataset primarily used for training machine learning models. It includes fields such as instruction seed (instruction_seed), source (source), model response (r1_distill_70b_response), original row index (__original_row_idx), extracted answer (r1_distill_70b_extracted_answer), majority responses (_majority_responses), verified response (verified_r1_distill_70b_response), and conversation information (conversations). The dataset is split into a training set (train) containing 5399 examples, with a file size of 533MB.