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@@ -38,6 +38,14 @@ ViewSpatial-Bench addresses a critical gap: while VLMs excel at spatial reasonin
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  <img alt="ViewSpatial-Bench construction pipeline and example questions" src="https://cdn.jsdelivr.net/gh/lidingm/blog_img/img/202505190038733.png" style="width: 100%; max-width: 1000px;" />
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  - **Language(s) (NLP):** en
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  - **License:** apache-2.0
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  <img alt="ViewSpatial-Bench construction pipeline and example questions" src="https://cdn.jsdelivr.net/gh/lidingm/blog_img/img/202505190038733.png" style="width: 100%; max-width: 1000px;" />
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+ The dataset contains the following fields:
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+ | Field Name | Description |
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+ | :--------- | :---------- |
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+ | `question_type` | Type of spatial reasoning task, includes 5 distinct categories for evaluating different spatial capabilities |
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+ | `image_path` | Path to the source image, includes data from two sources: `scannetv2_val` (ScanNet validation set) and `val2017` (MS-COCO validation set) |
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+ | `question` | The spatial reasoning question posed to the model |
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+ | `answer` | The correct answer to the question |
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+ | `choices` | Multiple choice options available for the question |
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  - **Language(s) (NLP):** en
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  - **License:** apache-2.0
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