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ChineseGLUE/ChineseGLUE resource

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard observed · 2026-08-28

github.com/ChineseGLUE/ChineseGLUE · homepage · Python 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: 2524
  • days_rel: n/a
  • days_push: 1292
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1782 stars · 244 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ChineseGLUE is a language understanding evaluation benchmark for Chinese, providing datasets, baseline pre-trained models, corpora, and a public leaderboard. It covers tasks like text classification, sentence-pair matching, NER, and reading comprehension, and has largely been superseded by the CLUE benchmark project.

Use cases

  • evaluate Chinese language understanding models
  • benchmark pretrained models like BERT on Chinese NLP tasks
  • find Chinese NLP datasets for classification and reading comprehension
  • compare Chinese pretrained model performance on a leaderboard
  • get Chinese corpora for language model pretraining
  • test Chinese NER and sentence matching models

When to choose

  • you need standardized Chinese NLP benchmark datasets and baselines
  • you want to compare Chinese pretrained models like BERT, ERNIE, RoBERTa, ALBERT
  • you need Chinese corpora for pretraining or language modeling

When to avoid

  • you need actively maintained benchmarks - the successor CLUE project is recommended
  • you work with languages other than Chinese
  • you need large language model evaluation rather than classic NLU tasks

Facets

dataset · maturity maintenance

machine-learning nlp benchmarking data-science machine-learning artificial-intelligence python cross-platform chinese-nlp benchmark glue pretrained-models leaderboard text-classification reading-comprehension named-entity-recognition natural-language-processing datasets

3 sources

Member repositories

RepositoryRoleHealth v2
ChineseGLUE/ChineseGLUEmain32

For agents

markdown · JSON · MCP: product_card(name="ChineseGLUE/ChineseGLUE")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem