Update README.md

README.md

@@ -9,10 +9,11 @@ tags:
 - uniprot
 size_categories:
 - 100K<n<1M
+license: mit
 ---
 # 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
+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).
 
 ## Dataset Details
 
@@ -24,7 +25,7 @@ This dataset contains all the text annotations we collected and parsed from UniP
 ### Dataset Sources
 
 - **Repository:** https://github.com/h4duan/PAIR
-- **Paper:** https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract
+- **Pre-print:** https://www.biorxiv.org/content/10.1101/2024.07.22.604688v2.abstract
 - **Model checkpoints:** https://huggingface.co/h4duan
 
 ## Uses
@@ -50,29 +51,26 @@ This dataset contains text annotations from Swiss-Prot February 2023; our models
 
 <!-- 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. -->
 
-[More Information Needed]
+[Coming soon]
 
 ## Dataset Creation
 
 ### Source Data
 
-This data was collected from the Swiss-Prot checkpoint from February 2023, found here: XXX
+This data was collected from the Swiss-Prot checkpoint from February 2023, found [here](https://ftp.uniprot.org/pub/databases/uniprot/previous_major_releases/release-2023_02/knowledgebase/).
 
 #### Data Collection and Processing
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-[More Information Needed]
+To see how we parsed our data, select an annotation type folder from [this link](https://github.com/h4duan/PAIR/tree/main/_fact) and open the `parser.py` script. 
 
 #### Who are the source data producers?
 
 <!-- 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. -->
 
-[More Information Needed]
+The data was originally produced by the [Uniprot consortium](https://www.uniprot.org/).
 
-### Annotations
-
-I don't think we did any annotations for parsing only for loading (double check)
 
 #### Personal and Sensitive Information
 
@@ -98,10 +96,6 @@ In general, the dataset is highly imbalanced in terms of how many and what prote
 }
 ```
 
-## Dataset Card Authors
-
-[More Information Needed]
-
 ## Dataset Card Contact
 
 For any issues with this dataset, please contact `martaskreta@cs.toronto.edu` or `haonand@cs.toronto.edu`