
# Dataset Card for UR50_2021_04 

## 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/

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TAGS
#size_categories-unknown #region-us 


# Dataset Card for UR50_2021_04 

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  URL
  - Annotations
  - 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

## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:

### Dataset Summary

The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: URL

### 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






### Contributions

Thanks to UniProt for curating this dataset. URL

# Dataset Card for UR50_2021_04 ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  URL
  - Annotations
  - 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 ## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: URL ### 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 ### Contributions

Thanks to UniProt for curating this dataset. URL
TAGS
#size_categories-unknown #region-us 
 # Dataset Card for UR50_2021_04 ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  URL
  - Annotations
  - 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 ## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: URL ### 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 ### Contributions

Thanks to UniProt for curating this dataset. URL
passage: TAGS
#size_categories-unknown #region-us 
# Dataset Card for UR50_2021_04## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  URL
  - Annotations
  - 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## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:### Dataset Summary

The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: URL### 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### Contributions

Thanks to UniProt for curating this dataset. URL