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---
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language:
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- en
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- zh
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license: cc-by-sa-4.0
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task_categories:
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- multiple-choice
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pretty_name: LogiQA2.0
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data_splits:
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- train
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- validation
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- test
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dataset_info:
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- config_name: logieval
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features:
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- name: content
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dtype: string
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- name: ideal
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dtype: string
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splits:
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- name: train
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num_bytes: 1247308
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num_examples: 1354
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- name: test
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num_bytes: 1505394
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num_examples: 1572
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download_size: 1258944
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dataset_size: 2752702
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- config_name: logiqa2_nli
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features:
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- name: label
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dtype:
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class_label:
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names:
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'0': not entailed
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'1': entailed
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- name: major_premise
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sequence: string
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- name: minor_premise
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dtype: string
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- name: conclusion
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dtype: string
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splits:
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- name: train
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num_bytes: 17728839
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num_examples: 31531
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- name: test
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num_bytes: 2213492
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num_examples: 3942
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- name: validation
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num_bytes: 2208687
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num_examples: 3941
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download_size: 13273725
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dataset_size: 22151018
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- config_name: logiqa2_zh
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features:
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- name: answer
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dtype: int32
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- name: text
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dtype: string
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- name: question
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dtype: string
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- name: options
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sequence: string
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splits:
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- name: train
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num_bytes: 8820627
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num_examples: 12751
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- name: test
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num_bytes: 1087414
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num_examples: 1594
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- name: validation
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num_bytes: 1107666
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num_examples: 1593
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download_size: 7563394
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dataset_size: 11015707
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configs:
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- config_name: logieval
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data_files:
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- split: train
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path: logieval/train-*
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- split: test
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path: logieval/test-*
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- config_name: logiqa2_nli
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data_files:
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- split: train
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path: logiqa2_nli/train-*
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- split: test
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path: logiqa2_nli/test-*
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- split: validation
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path: logiqa2_nli/validation-*
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- config_name: logiqa2_zh
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data_files:
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- split: train
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path: logiqa2_zh/train-*
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- split: test
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path: logiqa2_zh/test-*
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- split: validation
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path: logiqa2_zh/validation-*
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---
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# Dataset Card for Dataset Name
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## Dataset Description
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- **Homepage:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
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- **Repository:** https://github.com/csitfun/LogiQA2.0, https://github.com/csitfun/LogiEval
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- **Paper:** https://ieeexplore.ieee.org/abstract/document/10174688
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### Dataset Summary
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Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks
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LogiEval: a benchmark suite for testing logical reasoning abilities of instruct-prompt large language models
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### Licensing Information
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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### Citation Information
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@ARTICLE{10174688,
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author={Liu, Hanmeng and Liu, Jian and Cui, Leyang and Teng, Zhiyang and Duan, Nan and Zhou, Ming and Zhang, Yue},
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journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
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title={LogiQA 2.0 — An Improved Dataset for Logical Reasoning in Natural Language Understanding},
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year={2023},
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volume={},
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number={},
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pages={1-16},
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doi={10.1109/TASLP.2023.3293046}}
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@misc{liu2023evaluating,
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title={Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4},
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author={Hanmeng Liu and Ruoxi Ning and Zhiyang Teng and Jian Liu and Qiji Zhou and Yue Zhang},
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year={2023},
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eprint={2304.03439},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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