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In this paper, we introduce the NER dataset from CLUE organization(CLUENER2020), a well-defined fine-grained dataset for named entity recognitionin Chinese. CLUENER2020 contains 10 categories. Apart from common labels likeperson, organization, and location, it contains more diverse categories. It ismore challenging than current other Chinese NER datasets and could betterreflect real-world applications. For comparison, we implement severalstate-of-the-art baselines as sequence labeling tasks and report humanperformance, as well as its analysis. To facilitate future work on fine-grainedNER for Chinese, we release our dataset, baselines, and leader-board.

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese