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CLUE afqmc

Chinese Language Understanding Evaluation Benchmark

CLUE afqmc — AI evaluation benchmark listed by opencompass.

How to run

ltb · clue-afqmc
$ npm i -g lettokenburn-cli
$ ltb bench pull clue-afqmc

External harness. pip install opencompass && opencompass --models <model_cfg> --datasets CLUE_afqmc_gen (OpenCompass dataset config dir 'CLUE_afqmc') https://github.com/open-compass/opencompass

License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

2 sourced entries
HarnessSourceConfidenceLink
GLM-130B83.9N/AIndependentmediumOct 5, 2022arxiv.org
ERNIE 3.0 Titan-260B81.1N/AIndependentmediumOct 5, 2022arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

CLUE is a Chinese Language Understanding Evaluation benchmark. It consists of different NLU datasets. It is a community-driven project that brings together 9 tasks spanning several well-established single-sentence/sentence-pair classification tasks, as well as machine reading comprehension, all on original Chinese text.