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Dataset Details
This dataset contains the dataset for NeurIPS D&B submission: Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Precise Visual Grounding. It includes all the data for S1, S2 and S3 defined in the paper:
- 260+ source images
- 550 + questions
- Human annotated masks (for S1 ans S2)
- class information and subclass information
Dataset Structure
images_s1s2folder- Contains the raw images for s1 and s2
images_s3folder- Contains the raw images for s3
- `s1s2.json'
- List of data points include dict_keys(['polygon', 'image_path', 'height', 'width', 'lang', 'dataset_name', 's1_or_s2', 'subclasses'])
- 's3.json'
- A dict, the key is source image, and value is List[str] including multiple questions regarding this image
Citation
None, paper in submission
- Downloads last month
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