prestonfu/gsm_infinite_hard_ops24

该数据集包含5000个训练示例，特征字段包括操作代码(op)、维度(d)、模板(template)、模式(mode)、问题(problem)、问题描述(question)、解决方案(solution)、消息列表(messages，包含内容和角色)、提示文本(prompt_text)、提示令牌数(num_prompt_tokens)、问题令牌估计数(num_problem_tokens_estimate)、噪声令牌估计数(num_noise_tokens_estimate)、目标长度(target_length)和唯一标识符(id)。数据可能涉及问题解决、对话交互或提示生成任务，适用于自然语言处理模型的训练。

This dataset consists of 5,000 training examples with features including operation code (op), dimension (d), template, mode, problem, question, solution, messages list (with content and role), prompt text, number of prompt tokens, estimated problem tokens, estimated noise tokens, target length, and unique identifier (id). It likely pertains to problem-solving, conversational interactions, or prompt generation tasks, suitable for training natural language processing models.