JingweiNi/train_prm800k_gpt-oss-120b_annotated_qwen3_1.7b_thinking_5000_response_length_2048

该数据集的README内容详细描述了其结构，包括特征、分割和配置。数据集包含以下特征：question（问题）、answer（答案）、input_ids（输入标识符）、reply（回复）、original_index（原始索引）、claims（包含aligned_token_ids（对齐令牌标识符）、claim_text（声明文本）和sentence（句子））以及verified（验证）。数据集只有一个名为train的分割，包含5,000个样本，总大小为184,520,857字节。数据集设计用于训练目的，特征表明它可能用于问答或自然语言处理任务，额外的元数据如claims和verified表明可能用于事实核查或验证场景。

The README content provides a detailed structure of the dataset, including its features, splits, and configuration. The dataset contains features such as question, answer, input_ids, reply, original_index, claims (which includes aligned_token_ids, claim_text, and sentence), and verified. The dataset has a single split named train with 5,000 examples and a total size of 184,520,857 bytes. The dataset is designed for training purposes, as indicated by the train split. The features suggest that the dataset is likely used for question-answering or natural language processing tasks, with additional metadata like claims and verified indicating possible use in fact-checking or verification contexts.