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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_s1s2 folder
    • Contains the raw images for s1 and s2
  • images_s3 folder
    • 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

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