PAIR / README.md
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metadata
task_categories:
  - text-generation
language:
  - en
tags:
  - proteins
  - biology
  - uniprot
size_categories:
  - 100K<n<1M

Dataset Card for PAIR

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

Dataset Details

Dataset Description

Dataset Sources

Uses

Example usage

from datasets import load_dataset


Out-of-Scope Use

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.

Dataset Structure

[More Information Needed]

Dataset Creation

Source Data

This data was collected from the Swiss-Prot checkpoint from February 2023, found here: XXX

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations

I don't think we did any annotations for parsing only for loading (double check)

Personal and Sensitive Information

To our knowledge, this dataset does not contain any private information.

Bias, Risks, and Limitations

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

Citation

BibTeX:

@article{duan2024boosting,
  title={Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations},
  author={Duan, Haonan and Skreta, Marta and Cotta, Leonardo and Rajaonson, Ella Miray and Dhawan, Nikita and Aspuru-Guzik, Alán and Maddison, Chris J},
  journal={bioRxiv},
  pages={2024--07},
  year={2024},
  publisher={Cold Spring Harbor Laboratory}
}

Dataset Card Authors

[More Information Needed]

Dataset Card Contact

For any issues with this dataset, please contact [email protected] or [email protected]