prestonfu/gsm_infinite_hard_ops2_v1.1

该数据集是一个用于自然语言处理任务的数据集，包含5000个训练示例，每个示例由以下字段组成：system_prompt（系统提示，字符串类型）、problem（问题描述，字符串类型）、answer（答案，浮点类型）、synthetic_solution（合成解决方案，字符串类型）和rubric（评分标准，字符串类型）。数据集主要用于训练或评估模型在问题解决和答案生成方面的能力，可能涉及数学、逻辑推理或教育相关任务。数据以训练集形式提供，总大小约为44.9MB，下载大小约为5.8MB。

This dataset is designed for natural language processing (NLP) tasks, containing 5000 training instances. Each instance includes the following fields: system_prompt (system prompt, string type), problem (problem description, string type), answer (floating-point type), synthetic_solution (synthetic solution, string type), and rubric (scoring criteria, string type). The dataset is primarily used to train or evaluate models' capabilities in problem-solving and answer generation, which may involve mathematical, logical reasoning, or education-related tasks. It is provided as a training set, with a total size of approximately 44.9 MB and a download size of around 5.8 MB.