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license: mit
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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 Description
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### Dataset Sources
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- **Repository:**
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- **Pre-print:**
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- **Model checkpoints:**
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## Uses
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license: mit
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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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