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update readme

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@@ -131,7 +131,10 @@ You can swap `name="..."` in `load_dataset(...)` to evaluate different spatial r
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  We benchmarked a wide range of state-of-the-art models—including GPT-4o, Gemini, Claude, and several open-source LMMs—across all subsets. The results below have been updated after rerunning the evaluation. While they show minor variance compared to the results in the published paper, the conclusions remain unchanged.
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- ### Spatial457 Evaluation Results (Transposed by Model)
 
 
 
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  | Model | L1_single | L2_objects | L3_2d_spatial | L4_occ | L4_pose | L5_6d_spatial | L5_collision |
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  |------------------------|-----------|------------|---------------|--------|---------|----------------|---------------|
 
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  We benchmarked a wide range of state-of-the-art models—including GPT-4o, Gemini, Claude, and several open-source LMMs—across all subsets. The results below have been updated after rerunning the evaluation. While they show minor variance compared to the results in the published paper, the conclusions remain unchanged.
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+ The inference script supports [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) and is run by setting the dataset to `Spatial457`. You can find the detailed inference scripts [here](https://github.com/XingruiWang/VLMEvalKit).
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+ ### Spatial457 Evaluation Results
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  | Model | L1_single | L2_objects | L3_2d_spatial | L4_occ | L4_pose | L5_6d_spatial | L5_collision |
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  |------------------------|-----------|------------|---------------|--------|---------|----------------|---------------|