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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+ # LogiQA2.0
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+ Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks
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+
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+ > This repository contains the datasets for our paper [LogiQA2.0 - An Improved Dataset for Logic Reasoning in Question Answering and Textual Inference](https://ieeexplore.ieee.org/abstract/document/10174688)
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+
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+ ## How to cite
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+ ```
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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={31},
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+ number={},
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+ pages={2947-2962},
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+ doi={10.1109/TASLP.2023.3293046}}
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+
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+ ```
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+ ## About
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+ This is the version 2 of the LogiQA dataset, first released as a multi-choice reading comprehension dataset by our previous paper [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://arxiv.org/abs/2007.08124).
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+
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+ The dataset is collected from the [Chinese Civil Service Entrance Examination](chinagwy.org). The dataset is both in Chinese and English (by translation). you can download the version 1 of the LogiQA dataset from [here](https://github.com/lgw863/logiqa-dataset).
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+
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+ To construct LogiQA2.0 dataset, we:
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+ * collect more newly released exam questions and practice questions. There are about 20 provinces in China that hold the exam annually. The exam materials are publicly available on the Internet after the exams. Besides, practice questions are provided by various sources.
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+ * hire professional translators to re-translate the dataset from Chinese to English; verify the labels and annotations with human experts. This program is conducted by [Speechocean](en.speechocean.com), a data annotation service provider. The project is accomplished with the help of Microsoft Research Asia.
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+ * introduce a new NLI task to the dataset. The NLI version of the dataset is converted from the MRC version of the dataset, following previous work such as [Transforming Question Answering Datasets into Natural Language Inference Datasets](https://arxiv.org/abs/1809.02922).
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+
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+ ## Datasets
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+ ### MRC
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+ The MRC part of LogiQA2.0 dataset can be found in the `/logiqa/DATA/LOGIQA` folder.
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+
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+ `train.txt`: train split of the dataset in json lines.
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+
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+ `dev.txt`: dev split of the dataset in json lines.
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+
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+ `test.txt`: test split of the dataset in json lines.
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+
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+ `train_zh.txt`: train split of the Chinese version of dataset in json lines.
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+
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+ `dev_zh.txt`: dev split of the Chinese version of dataset in json lines.
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+
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+ `test_zh.txt`: test split of the Chinese version of dataset in json lines.