prestonfu/gsm_infinite_hard_ops4

该数据集是一个用于自然语言处理或代码生成任务的数据集，包含5000个训练示例，总大小约58MB。数据集特征包括操作标识符(op)、维度(d)、模板(template)、模式(mode)、问题描述(problem)、具体问题(question)、解决方案(solution)、消息列表(messages，包含角色和内容)、提示文本(prompt_text)、提示令牌数量(num_prompt_tokens)、问题令牌估计数量(num_problem_tokens_estimate)、噪声令牌估计数量(num_noise_tokens_estimate)、目标长度(target_length)和唯一标识符(id)。这些字段支持任务如问题解答、对话系统或代码生成，可能用于训练或评估AI模型。

This dataset is designed for natural language processing or code generation tasks, containing 5000 training examples with a total size of approximately 58MB. The dataset features include operation identifier (op), dimension (d), template, mode, problem description, specific question, solution, message list (with role and content), prompt text, number of prompt tokens, estimated number of problem tokens, estimated number of noise tokens, target length, and unique identifier (id). These fields support tasks such as question answering, dialogue systems, or code generation, potentially for training or evaluating AI models.