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@@ -6,100 +6,47 @@ pretty_name: Ziya-Eval-Chinese
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- # Dataset Card for Dataset Name
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- ## Dataset Description
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- - **Homepage:**
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- - **Repository:**
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- - **Paper:**
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- - **Leaderboard:**
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- - **Point of Contact:**
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- ### Dataset Summary
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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- ### Supported Tasks and Leaderboards
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- [More Information Needed]
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- ### Languages
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- [More Information Needed]
 
 
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- ## Dataset Structure
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- ### Data Instances
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- ### Data Fields
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  ### Data Splits
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed]
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- [More Information Needed]
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- #### Who are the source language producers?
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- ### Annotations
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- #### Annotation process
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- #### Who are the annotators?
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- ### Personal and Sensitive Information
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- [More Information Needed]
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- ### Discussion of Biases
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- ### Other Known Limitations
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- ## Additional Information
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- ### Dataset Curators
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- ### Licensing Information
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- ### Citation Information
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- ### Contributions
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+ # IDEA-CCNL/Ziya-Eval-Chinese
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+ ### 数据介绍 Dataset Summary
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+ 用于评估大语言模型的中文能力
 
 
 
 
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+ This IDEA-CCNL/Ziya-Eval-Chinese dataset is designed to evaluate the ability of LLM in chinese.
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+ ### 语言 Languages
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+ 中文
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+ Chinese
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+ ### 数据示例 Data Instances
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+ ```json
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+ {class='问答', type='猜谜', query='双喜临门,打一中国地名', answer='重庆'}
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+ ```
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+ ### 数据字段 Data Fields
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+ - class: str
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+ - type: str
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+ - query: str
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+ - answer: str
 
 
 
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  ### Data Splits
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+ 包含train、test、val,三者一样
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ train、test、val, they are the same split.
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+ ### 引用 Citation
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+ ```
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+ @article{fengshenbang,
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+ author = {Jiaxing Zhang and Ruyi Gan and Junjie Wang and Yuxiang Zhang and Lin Zhang and Ping Yang and Xinyu Gao and Ziwei Wu and Xiaoqun Dong and Junqing He and Jianheng Zhuo and Qi Yang and Yongfeng Huang and Xiayu Li and Yanghan Wu and Junyu Lu and Xinyu Zhu and Weifeng Chen and Ting Han and Kunhao Pan and Rui Wang and Hao Wang and Xiaojun Wu and Zhongshen Zeng and Chongpei Chen},
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+ title = {Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence},
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+ journal = {CoRR},
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+ volume = {abs/2209.02970},
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+ year = {2022}
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+ }
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+ ```