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README.md
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# Dataset Card for "emu_edit_test_set"
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download_size: 1904999338
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dataset_size: 2120553548.29
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# Dataset Card for the Emu Edit Test Set
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage: https://emu-edit.metademolab.com/**
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- **Paper: TODO**
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### Dataset Summary
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To create a benchmark for image editing we first define seven different categories of potential image editing operations: background alteration (background), comprehensive image changes (global), style alteration (style), object removal (remove), object addition (add), localized modifications (local), and color/texture alterations (texture).
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Then, we utilize the diverse set of input images from the [MagicBrush benchmark](https://huggingface.co/datasets/osunlp/MagicBrush), and for each editing operation, we task crowd workers to devise relevant, creative, and challenging instructions.
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Moreover, to increase the quality of the collected examples, we apply a post-verification stage, in which crowd workers filter examples with irrelevant instructions.
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Finally, to support evaluation for methods that require input and output captions (e.g. prompt2prompt and pnp), we additionally collect an input caption and output caption for each example.
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When doing so, we ask annotators to ensure that the captions capture both important elements in the image, and elements that should change based on the instruction.
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For more details please see our [paper](TODO) and [project page](https://emu-edit.metademolab.com/)
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### Licensing Information
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Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.
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### Citation Information
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TODO
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