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@@ -15,7 +15,7 @@ Current Leaderboard (You are welcome to test your models on SpatialScore!):
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  </div>
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  ## Some Information
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- [Project Page](https://haoningwu3639.github.io/SpatialScore/) $\cdot$ [Paper](https://arxiv.org/abs/2505.17012/) $\cdot$ [SpatialScore_Benchmark](https://huggingface.co/datasets/haoningwu/SpatialScore) $\cdot$ [SpatialCorpus](https://huggingface.co/datasets/haoningwu/SpatialCorpus) $\cdot$ [Model](https://huggingface.co/haoningwu/SpatialScore)
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  ## News
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  - [2026.5] We have updated our up-to-date code and data!
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  unzip SpatialScore_benchmark.zip
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  ```
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- ## SFT with SpatialCorpus
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- Please check out [SpaitalCorpus](https://huggingface.co/datasets/haoningwu/SpatialCorpus) to download our introduced training resources (`SpatialCorpus`).
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- You can follow the commands below to prepare the data:
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- ```
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- huggingface-cli download --resume-download --repo-type dataset haoningwu/SpatialCorpus --local-dir ./ --local-dir-use-symlinks False
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- unzip SpatialCorpus.zip
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- ```
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- Our codebase integrates the training script for Qwen3-VL.
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- Once you have prepared the dataset and configured the corresponding data paths, you can use the following script to conduct SFT on the Qwen3-VL model using SpatialCorpus:
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- ```
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- cd Qwen3-VL/qwen-vl-finetune
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- bash ./scripts/sft_qwen3_8b.sh
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- ```
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- For further details, please refer to the official [Qwen3-VL](https://github.com/qwenlm/qwen3-vl) tutorial.
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  ## Evaluation
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  Considering the current mainstream model architectures, we have prioritized support for the Qwen2.5-VL and Qwen3-VL series models.
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  You can evaluate them on SpatialScore using the following commands:
 
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  </div>
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  ## Some Information
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+ [Project Page](https://haoningwu3639.github.io/SpatialScore/) [Paper](https://arxiv.org/abs/2505.17012/) [SpatialScore_Benchmark](https://huggingface.co/datasets/haoningwu/SpatialScore) [SpatialCorpus](https://huggingface.co/datasets/haoningwu/SpatialCorpus) [Model](https://huggingface.co/haoningwu/SpatialScore)
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  ## News
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  - [2026.5] We have updated our up-to-date code and data!
 
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  unzip SpatialScore_benchmark.zip
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  ```
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  ## Evaluation
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  Considering the current mainstream model architectures, we have prioritized support for the Qwen2.5-VL and Qwen3-VL series models.
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  You can evaluate them on SpatialScore using the following commands: