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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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  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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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/mskrt/PAIR/blob/main/pair_data_fig.png" alt="drawing" style="width:400px;"/>
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+ </p>
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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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