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@@ -1977,7 +1977,44 @@ configs:
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  path: veterinary_medicine/val-*
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  - split: dev
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  path: veterinary_medicine/dev-*
 
 
 
 
 
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  ---
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  # Dataset Card for "ceval-exam-zhtw"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: veterinary_medicine/val-*
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  - split: dev
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  path: veterinary_medicine/dev-*
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+ license: cc
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+ language:
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+ - zh
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+ tags:
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+ - '"llm-eval"'
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  ---
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  # Dataset Card for "ceval-exam-zhtw"
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+ C-Eval 是一個針對基礎模型的綜合中文評估套件。它由 13,948 道多項選擇題組成,涵蓋 52 個不同的學科和四個難度級別。[原始網站](https://cevalbenchmark.com/)和 [GitHub](https://github.com/SJTU-LIT/ceval/tree/main) 或查看[論文](https://arxiv.org/abs/2305.08322)以了解更多詳細資訊。
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+ C-Eval 主要的數據都是使用簡體中文來撰寫并且用來評測簡體中文的 LLM 的效能來設計的,本數據集使用 OpenCC 來進行簡繁的中文轉換,主要目的方便繁中 LLM 的開發與驗測。
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+ ## 下載
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+
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+ 使用 Hugging Face `datasets` 直接載入資料集:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset=load_dataset(r"erhwenkuo/ceval-exam-zhtw",name="computer_network")
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+
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+ print(dataset['val'][0])
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+ # {'id': 0, 'question': '使用位填充方法,以01111110為位首flag,資料為011011111111111111110010,求問傳送時要新增幾個0____', 'A': '1', 'B': '2', 'C': '3', 'D': '4', 'answer': 'C', 'explanation': ''}
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+ ```
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+
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+ ## 授權
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+
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+ C-Eval 資料集根據 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 授權。
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+ ## Citation
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+
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+ 如果您使用這個資料集,請引用原始 C-Eval 的論文。
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+ ```
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+ @article{huang2023ceval,
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+ title={C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models},
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+ author={Huang, Yuzhen and Bai, Yuzhuo and Zhu, Zhihao and Zhang, Junlei and Zhang, Jinghan and Su, Tangjun and Liu, Junteng and Lv, Chuancheng and Zhang, Yikai and Lei, Jiayi and Fu, Yao and Sun, Maosong and He, Junxian},
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+ journal={arXiv preprint arXiv:2305.08322},
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+ year={2023}
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+ }
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+ ```