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						--- | 
					
					
						
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						dataset_info: | 
					
					
						
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						  features: | 
					
					
						
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						  - name: query | 
					
					
						
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						    dtype: string | 
					
					
						
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						  - name: choices | 
					
					
						
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						    sequence: string | 
					
					
						
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						  - name: gold | 
					
					
						
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						    sequence: int64 | 
					
					
						
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						  splits: | 
					
					
						
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						  - name: test | 
					
					
						
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						    num_bytes: 694747 | 
					
					
						
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						    num_examples: 651 | 
					
					
						
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						  download_size: 387024 | 
					
					
						
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						  dataset_size: 694747 | 
					
					
						
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						license: cc-by-nc-sa-4.0 | 
					
					
						
						| 
							 | 
						--- | 
					
					
						
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							 | 
						# Dataset Card for "agieval-logiqa-zh" | 
					
					
						
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						Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo. | 
					
					
						
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						Raw datset: https://github.com/lgw863/LogiQA-dataset | 
					
					
						
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						[Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/) | 
					
					
						
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						@misc{zhong2023agieval, | 
					
					
						
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						      title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models},  | 
					
					
						
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						      author={Wanjun Zhong and Ruixiang Cui and Yiduo Guo and Yaobo Liang and Shuai Lu and Yanlin Wang and Amin Saied and Weizhu Chen and Nan Duan}, | 
					
					
						
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						      year={2023}, | 
					
					
						
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						      eprint={2304.06364}, | 
					
					
						
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						      archivePrefix={arXiv}, | 
					
					
						
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						      primaryClass={cs.CL} | 
					
					
						
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						} | 
					
					
						
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						 | 
					
					
						
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						@inproceedings{Liu2020LogiQAAC, | 
					
					
						
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						  title={LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning}, | 
					
					
						
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						  author={Jian Liu and Leyang Cui and Hanmeng Liu and Dandan Huang and Yile Wang and Yue Zhang}, | 
					
					
						
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						  booktitle={International Joint Conference on Artificial Intelligence}, | 
					
					
						
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						  year={2020} | 
					
					
						
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							 | 
						} |