CLUEbenchmark/CLUENER2020 resource
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2432
- days_rel: n/a
- days_push: 1381
- n_releases_24m: 0
Adoption not part of the score
1521 stars · 296 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
CLUENER2020 is a fine-grained Chinese named entity recognition dataset and benchmark with 10 entity categories (address, book, company, game, government, movie, name, organization, position, scene), containing ~10,748 training and 1,343 validation sentences. It also provides baseline models such as BERT, RoBERTa, and BiLSTM+CRF for sequence labeling evaluation.
Use cases
- train a Chinese named entity recognition model
- benchmark NER models on Chinese text
- fine-tune BERT for Chinese sequence labeling
- evaluate fine-grained entity extraction in Chinese
- get labeled Chinese NER training data
- compare Chinese NER model performance against baselines
When to choose
- you need a well-defined, challenging Chinese NER dataset with diverse entity categories beyond person/location/organization
- you want to benchmark Chinese NER models against published baselines and a leaderboard
When to avoid
- you need NER data for languages other than Chinese
- you need a permissively licensed dataset - the repo has no license specified
- you need actively maintained tooling rather than a dataset and baselines
Facets
dataset · maturity maintenance
nlp machine-learning benchmarking machine-learning artificial-intelligence python named-entity-recognition chinese-ner sequence-labeling bert fine-grained-ner benchmark seq2seq natural-language-processing
6 sources
- readme: https://github.com/CLUEbenchmark/CLUENER2020 · fetched 2026-08-28 · ac8cd0e8bf56
- homepage: https://arxiv.org/abs/2001.04351 · fetched 2026-08-29 · 67fd9d0012c2
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| CLUEbenchmark/CLUENER2020 | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="CLUEbenchmark/CLUENER2020")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem