

# Dataset Card for PartiPrompts (P2)

## 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)
  - [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://parti.research.google/
- **Repository:** https://github.com/google-research/parti
- **Paper:** https://gweb-research-parti.web.app/parti_paper.pdf

### Dataset Summary

PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.

![parti-prompts](https://github.com/google-research/parti/blob/main/images/parti-prompts.png?raw=true)

P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s *The Starry Night* (1889):

*Oil-on-canvas painting of a blue night sky with roiling energy. A fuzzy and
bright yellow crescent moon shining at the top. Below the exploding yellow stars
and radiating swirls of blue, a distant village sits quietly on the right.
Connecting earth and sky is a flame-like cypress tree with curling and swaying
branches on the left. A church spire rises as a beacon over rolling blue hills.*


### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The text descriptions are in English.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

The license for this dataset is the apache-2.0 license.

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset.
license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 



# Dataset Card for PartiPrompts (P2)

## 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
  - 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: URL
- Paper: URL

### Dataset Summary

PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.

!parti-prompts

P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s *The Starry Night* (1889):

*Oil-on-canvas painting of a blue night sky with roiling energy. A fuzzy and
bright yellow crescent moon shining at the top. Below the exploding yellow stars
and radiating swirls of blue, a distant village sits quietly on the right.
Connecting earth and sky is a flame-like cypress tree with curling and swaying
branches on the left. A church spire rises as a beacon over rolling blue hills.*


### Supported Tasks and Leaderboards



### Languages

The text descriptions are in English.

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### 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

The license for this dataset is the apache-2.0 license.





### Contributions

Thanks to @nateraw for adding this dataset.
# Dataset Card for PartiPrompts (P2) ## 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
  - 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: URL
- Paper: URL ### Dataset Summary

PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.

!parti-prompts

P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s *The Starry Night* (1889):

*Oil-on-canvas painting of a blue night sky with roiling energy. A fuzzy and
bright yellow crescent moon shining at the top. Below the exploding yellow stars
and radiating swirls of blue, a distant village sits quietly on the right.
Connecting earth and sky is a flame-like cypress tree with curling and swaying
branches on the left. A church spire rises as a beacon over rolling blue hills.* ### Supported Tasks and Leaderboards ### Languages

The text descriptions are in English. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### 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

The license for this dataset is the apache-2.0 license. ### Contributions

Thanks to @nateraw for adding this dataset.
TAGS
#license-apache-2.0 #region-us 
 # Dataset Card for PartiPrompts (P2) ## 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
  - 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: URL
- Paper: URL ### Dataset Summary

PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.

!parti-prompts

P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s *The Starry Night* (1889):

*Oil-on-canvas painting of a blue night sky with roiling energy. A fuzzy and
bright yellow crescent moon shining at the top. Below the exploding yellow stars
and radiating swirls of blue, a distant village sits quietly on the right.
Connecting earth and sky is a flame-like cypress tree with curling and swaying
branches on the left. A church spire rises as a beacon over rolling blue hills.* ### Supported Tasks and Leaderboards ### Languages

The text descriptions are in English. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### 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

The license for this dataset is the apache-2.0 license. ### Contributions

Thanks to @nateraw for adding this dataset.
passage: TAGS
#license-apache-2.0 #region-us 
# Dataset Card for PartiPrompts (P2)## 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
  - 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: URL
- Paper: URL### Dataset Summary

PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.

!parti-prompts

P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s *The Starry Night* (1889):

*Oil-on-canvas painting of a blue night sky with roiling energy. A fuzzy and
bright yellow crescent moon shining at the top. Below the exploding yellow stars
and radiating swirls of blue, a distant village sits quietly on the right.
Connecting earth and sky is a flame-like cypress tree with curling and swaying
branches on the left. A church spire rises as a beacon over rolling blue hills.*### Supported Tasks and Leaderboards### Languages

The text descriptions are in English.## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset