Floppanacci/QWQ-LongCOT-AIMO

QWQ-LongCOT-AIMO是一个从amphora/QwQ-LongCoT-130K数据集中处理得到的衍生数据集。它过滤了原始数据集，以专注于最终答案为0到999之间的数值的问题-答案对，并在原始的思考链答案中明确使用oxed{...}格式标记。数据集被分为训练集、验证集和测试集，每个示例包含原始问题、完整的思考链答案以及从答案字段中提取的数值答案。数据集用于文本生成和问答任务，并指出答案字段中的推理步骤的质量和正确性未经人工验证。

QWQ-LongCOT-AIMO is a derived dataset created by processing the amphora/QwQ-LongCoT-130K dataset. It filters the original dataset to focus specifically on question-answering pairs where the final answer is a numerical value between 0 and 999, explicitly marked using the oxed{...} format within the original chain-of-thought answer. The dataset is split into training, validation, and test sets, and each example contains the original question, the full chain-of-thought answer, and the extracted numerical answer. The dataset is used for tasks like text generation and question answering, and it is noted that the quality and correctness of the reasoning steps in the answers have not been manually verified.