Hallu-TCM
收藏DataCite Commons2024-10-13 更新2025-04-16 收录
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https://ieee-dataport.org/documents/hallu-tcm
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资源简介：
We develope a novel TCM hallucination detection dataset, Hallu-TCM, sine no prior work has attempted this task in TM. We selected 1,260 TCM exam questions including 16 TCM subjects, input them into GPT-4, and collected their feedback. In the first level, we utilize Qwen-Max interface to annotate feedback multiple times with the binary label. If Qwen-Max consistently provided the same label across annotations, we adopted that label. For contentious cases, we recruited higher-degree research students who can understand and solve complex questions, including three Ph.D. students and one master's student. They can perform the secondary annotation by using any available tools to assist them. Finally, one TCM physician annotated any controversial feedback from the students' annotations to make the final decision.
提供机构：
IEEE DataPort
创建时间：
2024-10-13
