mlfoundations-dev/seed_code_multiple_samples_gpt_verification_scale_up_2K

该数据集包含多个字段，如问题(problem)、来源(source)、领域(domain)等。它还包括了一个名为r1_distill_70b_response的字符串序列字段，可能是某种模型的响应。此外，数据集还包含了correct布尔字段，可能表示响应的正确性，以及一个classifier_reasoning字段，可能用于存储分类器的推理过程。数据集分为训练集(train)，包含4936个示例，大小为644,625,543字节。但README中并未提供详细的数据集中文描述。

The dataset includes multiple fields such as problem, source, domain, etc. It also has a string sequence field named r1_distill_70b_response, which might be a response from some model. Additionally, the dataset contains a correct boolean field, possibly indicating the correctness of the response, and a classifier_reasoning field, which might be used for storing the reasoning process of the classifier. The dataset is split into a training set (train) with 4936 examples, totaling 644,625,543 bytes in size. However, the README does not provide a detailed dataset description.