CLUEbenchmark/CLUE resource
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 66
- 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: 2476
- days_rel: n/a
- days_push: 208
- n_releases_24m: 0
Adoption not part of the score
4279 stars · 544 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
CLUE is the Chinese Language Understanding Evaluation Benchmark, providing representative datasets, baseline and pre-trained models, corpora, and a public leaderboard for Chinese NLP tasks. It also encompasses SuperCLUE, an evolving suite of benchmarks for evaluating Chinese large language models across reasoning, agents, safety, and multimodal capabilities.
Use cases
- evaluate Chinese language understanding models on standard tasks
- compare pretrained models like BERT, RoBERTa, and ALBERT on Chinese NLU
- find Chinese NLP datasets for classification, NER, and reading comprehension
- benchmark Chinese large language models against a leaderboard
- download Chinese corpora for pretraining or language modeling
- reproduce baseline results for Chinese text classification tasks
When to choose
- you need standardized Chinese NLU evaluation datasets and baselines
- you want to compare your model against published Chinese leaderboard scores
- you need large Chinese corpora for pretraining or domain adaptation
- you are evaluating Chinese LLMs with SuperCLUE benchmarks
When to avoid
- your task is English-only NLU evaluation (use GLUE or SuperGLUE instead)
- you need a maintained software library rather than datasets and benchmarks
- you require a permissively licensed codebase, as the repository has no license
Facets
dataset · maturity active
machine-learning nlp benchmarking data-science machine-learning large-language-models artificial-intelligence python cross-platform chinese-nlp benchmark leaderboard pretrained-models corpus nlu bert evaluation natural-language-processing
3 sources
- readme: https://github.com/CLUEbenchmark/CLUE · fetched 2026-08-28 · 0e201a6c31c7
- homepage: http://www.CLUEbenchmarks.com · fetched 2026-08-29 · 5e0ce25bccd2
- site_page: https://www.cluebenchmarks.com:443/aboutClue.html · fetched 2026-08-29 · b318c2db06a4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| CLUEbenchmark/CLUE | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="CLUEbenchmark/CLUE")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem