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  license: mit
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  ---
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- # Dataset Card for PAIR
 
 
 
 
 
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  This dataset contains all the text annotations we collected and parsed from UniProt Swiss-Prot February 2023 and used to train PAIR from the paper "Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations". You can read more details about PAIR [here](https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract).
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- ## Dataset Details
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  ### Dataset Description
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  ### Dataset Sources
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- - **Repository:** https://github.com/h4duan/PAIR
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- - **Pre-print:** https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract
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- - **Model checkpoints:** https://huggingface.co/h4duan
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  ## Uses
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  license: mit
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  ---
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+ <h1 align="center">Dataset Card for PAIR</h1>
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+ <p align="center">
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+ <a href="https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract"><img src="https://img.shields.io/badge/bioRxiv-2024.07.22.604688-red?style=for-the-badge&logo=bioRxiv" alt="bioRxiv"/></a>
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+ </p>
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  This dataset contains all the text annotations we collected and parsed from UniProt Swiss-Prot February 2023 and used to train PAIR from the paper "Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations". You can read more details about PAIR [here](https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract).
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+ # Dataset Details
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  ### Dataset Description
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  ### Dataset Sources
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+ - [**Repository:**](https://github.com/h4duan/PAIR)
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+ - [**Pre-print:**](https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract)
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+ - [**Model checkpoints:**](https://huggingface.co/h4duan)
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  ## Uses
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