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--- |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: img_id |
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dtype: string |
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- name: turn_index |
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dtype: int32 |
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- name: input_img |
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dtype: image |
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- name: instruction |
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dtype: string |
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- name: output_img |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 15474910323.726 |
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num_examples: 8807 |
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- name: dev |
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num_bytes: 926910159 |
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num_examples: 528 |
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download_size: 16474461666 |
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dataset_size: 16401820482.726 |
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task_categories: |
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- text-to-image |
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language: |
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- en |
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pretty_name: MagicBrush |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for Dataset Name |
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## Dataset Summary |
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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. |
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Please check our [website](https://osu-nlp-group.github.io/MagicBrush/) to explore more visual results. |
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## Dataset Structure |
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"img_id" (str): same from COCO id |
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"turn_index" (int32): the edit turn in the image |
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"source_img" (str): input image, could be the original real image (turn_index=1) and edited images from last tunr (turn_index >=2) |
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"instruction" (str): edit instruction of how the input image should be changed. |
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"target_img" (str): the edited image corresponding to the input image and instruction. |
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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) |
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### Splits |
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train: 8,807 edit turns (4,512 edit sessions). |
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dev: 528 edit turns (266 edit sessions). |
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test: (To prevent potential data leakage, please check our repo for information on obtaining the test set.) |
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### Licensing Information |
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Creative Commons License |
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This work is licensed under a Creative Commons Attribution 4.0 International License. |
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### Citation Information |
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TODO |
