data_juicer.ops.mapper.optimize_response_mapper module¶
- class data_juicer.ops.mapper.optimize_response_mapper.OptimizeResponseMapper(api_or_hf_model: str = 'Qwen/Qwen2.5-7B-Instruct', is_hf_model: bool = True, *, api_endpoint: str | None = None, response_path: str | None = None, system_prompt: str | None = None, input_template: str | None = None, qa_pair_template: str | None = None, output_pattern: str | None = None, try_num: Annotated[int, Gt(gt=0)] = 3, enable_vllm: bool = False, model_params: Dict | None = None, sampling_params: Dict | None = None, **kwargs)[源代码]¶
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Optimize response in question-answer pairs to be more detailed and specific.
This operator enhances the responses in question-answer pairs, making them more detailed and specific while ensuring they still address the original question. It uses a predefined system prompt for optimization. The optimized response is stripped of any leading or trailing whitespace before being returned. This mapper leverages a Hugging Face model for the optimization process, which is accelerated using CUDA.
- DEFAULT_SYSTEM_PROMPT = '请优化问答对中的回答,将其更加详细具体,但仍可以回答原问题。只输出优化后的回答,不要输出多余内容。'¶