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  # JEDI
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  The JEDI Dataset consists of four carefully designed categories:
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  - Icon
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  Additionally, JEDI processes and improves the data from [AGUVIS](https://github.com/xlang-ai/aguvis) and [Desktop domain from OS-ATLAS](https://huggingface.co/datasets/agnet/osatlas), calling it `AGUVIS++`. This repository contains the texture portion of `AGUVIS++`. For images, please refer to the [aguvis original repository](https://huggingface.co/collections/ranpox/aguvis-unified-pure-vision-gui-agents-6764e2bc343c62af95c209d8) and [os-atlas original repository](https://huggingface.co/datasets/OS-Copilot/OS-Atlas-data/tree/main/desktop_domain), please download them and align with the image path for usage.
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- **NOTE**: Before you use this dataset, make sure you understand the logic of absolute coordinates for Qwen2.5-VL. This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , make sure you also follow it in your training procedure, otherwise the performance will not be as expected.
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  Project Page: https://osworld-grounding.github.io
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  GitHub Repository: https://github.com/xlang-ai/OSWorld-G
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  ## 📄 Citation
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  If you find this work useful, please consider citing our paper:
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  # JEDI
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+ **NOTE**: Before you use this dataset, make sure you understand the logic of absolute coordinates and [image processor](https://github.com/QwenLM/Qwen2.5-VL/blob/d2240f11656bfe404b9ba56db4e51cd09f522ff1/qwen-vl-utils/src/qwen_vl_utils/vision_process.py#L60) for [Qwen2.5-VL](https://arxiv.org/abs/2502.13923).
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+ This dataset is set with the image processor max tokens to be 2700, a.k.a max_pixels=2700x14x14x2x2 , the coordinates were resized to be smaller and you have to resize the image as well within max_pixels=2700x14x14x2x2 via image processor to make them align.
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+ Make sure you also follow it in your training procedure, otherwise the performance will not be as expected.
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  The JEDI Dataset consists of four carefully designed categories:
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  - Icon
 
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  Additionally, JEDI processes and improves the data from [AGUVIS](https://github.com/xlang-ai/aguvis) and [Desktop domain from OS-ATLAS](https://huggingface.co/datasets/agnet/osatlas), calling it `AGUVIS++`. This repository contains the texture portion of `AGUVIS++`. For images, please refer to the [aguvis original repository](https://huggingface.co/collections/ranpox/aguvis-unified-pure-vision-gui-agents-6764e2bc343c62af95c209d8) and [os-atlas original repository](https://huggingface.co/datasets/OS-Copilot/OS-Atlas-data/tree/main/desktop_domain), please download them and align with the image path for usage.
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  Project Page: https://osworld-grounding.github.io
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  GitHub Repository: https://github.com/xlang-ai/OSWorld-G
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+ **Fun Fact**: JEDI has no meaning in the name itself. Just because it is pronounced very close to Chinese '接地', which is the translation of English 'Grounding'.
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  ## 📄 Citation
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  If you find this work useful, please consider citing our paper:
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