---
license: cc-by-4.0
dataset_info:
  features:
  - name: img_id
    dtype: string
  - name: turn_index
    dtype: int32
  - name: source_img
    dtype: image
  - name: instruction
    dtype: string
  - name: target_img
    dtype: image
  splits:
  - name: train
    num_bytes: 15529513080.815
    num_examples: 8807
  - name: dev
    num_bytes: 926910159.0
    num_examples: 528
  download_size: 16474470556
  dataset_size: 16456423239.815
task_categories:
- text-to-image
language:
- en
pretty_name: MagicBrush
size_categories:
- 10K<n<100K
---


# Dataset Card for Dataset Name

## Dataset Description
**Homepage:** https://osu-nlp-group.github.io/MagicBrush
**Repository:** https://github.com/0SU-NLP-Group/MagicBrush
<!-- **Paper:** https://arxiv.org/abs/2306.06070 -->
**Point of Contact:** [Kai Zhang](mailto:zhang.13253@osu.edu)

### Dataset Summary

MagicBrush is the first large-scale, manually-annotated instruction-guided image editing dataset covering diverse scenarios single-turn, multi-turn, mask-provided, and mask-free editing. MagicBrush comprises 10K (source image, instruction, target image) triples, which is sufficient to train large-scale image editing models.

Please check our [website](https://osu-nlp-group.github.io/MagicBrush/) to explore more visual results.

#### Dataset Structure
"img_id" (str): same from COCO id

"turn_index" (int32): the edit turn in the image

"source_img" (str): input image, could be the original real image (turn_index=1) and edited images from last tunr (turn_index >=2)

"instruction" (str): edit instruction of how the input image should be changed.

"target_img" (str): the edited image corresponding to the input image and instruction.

If you need auxiliary data, please use [training set](https://buckeyemailosu-my.sharepoint.com/:u:/g/personal/zhang_13253_buckeyemail_osu_edu/EYEqf_yG36lAgiXw2GvRl0QBDBOeZHxvNgxO0Ec9WDMcNg) and [dev set](https://buckeyemailosu-my.sharepoint.com/:u:/g/personal/zhang_13253_buckeyemail_osu_edu/EXkXvvC95C1JsgMNWGL_RcEBElmsGxXwAAAdGamN8PNhrg)

### Splits

train: 8,807 edit turns (4,512 edit sessions).
dev: 528 edit turns (266 edit sessions).
test: (To prevent potential data leakage, please check our repo for information on obtaining the test set.)

### Licensing Information

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


### Citation Information

TODO