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--- |
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license: other |
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license_name: creative-commons-by-nc |
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task_categories: |
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- question-answering |
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language: |
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- zh |
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tags: |
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- traditional chinese |
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- finance |
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- medical |
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- taiwan |
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- benchmark |
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- zh-tw |
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- zh-hant |
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pretty_name: tmmlu++ |
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size_categories: |
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- 100K<n<1M |
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--- |
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# TMMLU+ : Large scale traditional chinese massive multitask language understanding |
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<p align="center"> |
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<img src="https://huggingface.co/datasets/ikala/tmmluplus/resolve/main/cover.png" alt="A close-up image of a neat paper note with a white background. The text 'TMMLU+' is written horizontally across the center of the note in bold, black. Join us to work in multimodal LLM : https://ikala.ai/recruit/" style="max-width: 400" width=400 /> |
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</p> |
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We present TMMLU+ a traditional Chinese massive multitask language understanding dataset. TMMLU+ is a multiple-choice question-answering dataset with 66 subjects from elementary to professional level. |
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TMMLU+ dataset is 6 times larger and contains more balanced subjects compared to the previous version, [TMMLU](https://github.com/mtkresearch/MR-Models/tree/main/TC-Eval/data/TMMLU). We included benchmark results in TMMLU+ from closed-source models and 20 open-weight Chinese large language models of parameters ranging from 1.8B to 72B. Benchmark results show Traditional Chinese variants still lag behind those trained on Simplified Chinese major models. |
