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README.md
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@@ -15,7 +15,9 @@ The JEDI Dataset consists of four carefully designed categories:
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This repository includes all the textures and images for these components.
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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/
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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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This repository includes all the textures and images for these components.
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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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