regmibijay/ops-volltext-klassifizierung-v2
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资源简介：
这是一个用于OPS分类的合成数据集，包含了所有OPS代码（包括成像代码）。数据集使用Q4_K_M量化的Qwen2.5 7B模型创建，每行的序列长度比V1版本更长。通过质量控制在LLM中减少了幻觉，从而相比V1版本有显著的质量提升。数据集的目的是支持德国医学界创建高度专业化的德语模型。
This is a synthetic dataset for OPS classification, containing all OPS codes (including imaging codes). The dataset was created using the Q4_K_M quantized Qwen2.5 7B model, with a sequence length per line longer than that of version V1. Hallucinations in LLM have been reduced through quality control, resulting in a significant quality improvement over version V1. The purpose of the dataset is to support the German medical community in creating highly specialized German models.
提供机构：
regmibijay
