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# MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
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This repository contains the dataset for the NAACL 2024 paper "MSCINLI: A Diverse Benchmark for Scientific Natural Language Inference."
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**If you face any difficulties while downloading the dataset, raise an issue in this repository or contact us at msadat3@uic.edu.**
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For more details about the dataset, please visit: https://github.com/msadat3/MSciNLI
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## Citation
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If you use this dataset, please cite our paper:
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```
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@inproceedings{sadat-caragea-2024-mscinli,
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title = "MSCINLI: A Diverse Benchmark for Scientific Natural Language Inference",
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author = "Sadat, Mobashir and Caragea, Cornelia",
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booktitle = "2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics",
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month = june,
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year = "2024",
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address = "Mexico City, Mexico",
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publisher = "Association for Computational Linguistics",
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url = "",
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pages = "",
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}
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```
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