sequelbox/Tachibana-QVQ

Tachibana-QVQ是一个包含跨各种编程任务的代码推理和代码指导响应的数据集。该数据集包括来自sequelbox/Tachibana的103k个提示，所有响应均由Qwen/QVQ-72B-Preview生成。响应展示了QVQ的代码推理能力和通用编码能力。需要注意的是，这些响应未经任何过滤或编辑，可能包含无限思考循环、不完整的答案、不准确的响应或其他与Qwen当前迭代的QVQ模型相关的问题。用户在使用该数据集进行训练前，应考虑应用自己的子过滤和手动检查。

Tachibana-QVQ is a dataset containing code-reasoning and code-instruct responses across a wide variety of programming tasks. This dataset includes 103k prompts from sequelbox/Tachibana, with all responses generated by Qwen/QVQ-72B-Preview. Responses demonstrate QVQs code-reasoning ability and general code capabilities. Responses have not been filtered or edited at all: some responses will contain infinite thought loops, incomplete answers, inaccurate responses, or other identified or unidentified issues with Qwens current iteration of the QVQ model. Users should consider applying their own sub-filtering and manual examination of the dataset before use in training.