Datasets:
metadata
annotations_creators:
- crowdsourced
language:
- en
language_creators: []
license:
- unknown
multilinguality:
- monolingual
pretty_name: DrawBench
size_categories:
- n<1K
source_datasets:
- original
tags: []
task_categories:
- text-to-image
task_ids: []
Dataset Card for DrawBench
Table of Contents
- Dataset Card Creation Guide
Dataset Description
- Homepage: https://imagen.research.google/
- Repository: https://github.com/shunk031/huggingface-datasets_DrawBench
- Paper: https://arxiv.org/abs/2205.11487
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The language data in DrawBench is in English (BCP-47 en-US).
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
[More Information Needed]
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
[More Information Needed]
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
[More Information Needed]
Citation Information
@article{saharia2022photorealistic,
title={Photorealistic text-to-image diffusion models with deep language understanding},
author={Saharia, Chitwan and Chan, William and Saxena, Saurabh and Li, Lala and Whang, Jay and Denton, Emily L and Ghasemipour, Kamyar and Gontijo Lopes, Raphael and Karagol Ayan, Burcu and Salimans, Tim and others},
journal={Advances in Neural Information Processing Systems},
volume={35},
pages={36479--36494},
year={2022}
}
Contributions
Thanks to Google Research, Brain Team for creating this dataset.