Create README.md

README.md

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+source_datasets: []
+task_categories: []
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+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  https://ftp.uniprot.org/pub/databases/uniprot/uniref/uniref50/
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://www.uniprot.org/
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: https://www.uniprot.org/
+
+### Supported Tasks and Leaderboards
+
+The UR50 dataset contains 48 Million protein sequences. It is a useful dataset to train protein language models.
+
+### Languages
+
+Proteins
+
+## Dataset Structure
+
+### Data Instances
+
+
+### Data Fields
+
+
+### Data Splits
+
+ Train, validation
+
+## Dataset Creation
+
+### Curation Rationale
+
+Substituted FASTA headers by <endoftext> tag.
+  The dataset was tokenized using BPE and further split into train and validation datasets (ratio 90/10) choosing random sequences for the latter.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+
+#### Who are the source language producers?
+
+UniProt
+
+### Annotations
+
+#### Annotation process
+
+UniProt contains annotations but no labels/annotations were used for this dataset.
+
+#### Who are the annotators?
+
+
+### Personal and Sensitive Information
+
+
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+
+
+### Discussion of Biases
+
+
+
+### Other Known Limitations
+
+
+
+## Additional Information
+
+### Dataset Curators
+
+
+
+### Licensing Information
+
+
+### Citation Information
+
+
+
+### Contributions
+
+Thanks to UniProt for curating this dataset. https://www.uniprot.org/