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README.md
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size_categories:
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size_categories:
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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 -- a simple framework to finetune protein language models using 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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<!-- Provide a longer summary of what this dataset is. -->
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### Dataset Sources
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- **Repository:** (coming soon!)
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- **Paper:** 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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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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This dataset contains text annotations from Swiss-Prot February 2023; our models were trained on all of them. Please be mindful about potential data leakage from time splits/identical protein sequences on any downstream tasks in your setup.
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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[More Information Needed]
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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[More Information Needed]
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[More Information Needed]
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### Annotations
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I don't think we did any annotations for parsing only for loading (double check)
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#### Personal and Sensitive Information
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To our knowledge, this dataset does not contain any private information.
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## Bias, Risks, and Limitations
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In general, the dataset is highly imbalanced in terms of how many and what protein sequences in Swiss-Prot have an annotation for a given annotation type. This dataset is sparse
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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For any issues with this dataset, please contact martaskreta@cs.toronto.edu or
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