tomhodemon/grounded-visual-spatial-reasoning
Grounded Visual Spatial Reasoning Code for generating the annotations can be found here: github.com Dataset Summary This dataset extends the Visual Spatial Reasoning (VSR) dataset with visual grounding annotations: each caption is annotated with COCO-category object mentions, their positions , and corresponding bounding boxes in the image. Data instance Each sample instance has the following structure: Field Type Description image_file… See the full description on the dataset page: https://huggingface.co/datasets/tomhodemon/grounded-visual-spatial-reasoning.
Grounded Visual Spatial Reasoning
Code for generating the annotations can be found here: github.com
Dataset Summary
This dataset extends the Visual Spatial Reasoning (VSR) dataset with visual grounding annotations: each caption is annotated with COCO-category object mentions, their positions , and corresponding bounding boxes in the image.
Data instance
Each sample instance has the following structure: | Field | Type | Description | |---------------------------|------------------|--------------------------------------------------| | image_file | string | COCO-style image filename | | image_link | string | Direct COCO image URL | | width | int | Image width | | height | int | Image height | | caption | string | Caption with two COCO-category object mentions | | label | bool | Label from VSR original dataset | | relation | string | Spatial relation | | ref_exp.labels | list[string] | List of object labels from COCO categories | | ref_exp.label_positions | list[list[int]]| Position (start, end) of each label in caption sentence| | ref_exp.bboxes | list[list[float]] | Bounding boxes ([x, y, w, h] format) |
Download Images
To download the images, follow the instructions from the VSR official GitHub repo.
Citation
If you use this dataset, please cite the original Visual Spatial Reasoning paper:
@article{Liu2022VisualSR,
title={Visual Spatial Reasoning},
author={Fangyu Liu and Guy Edward Toh Emerson and Nigel Collier},
journal={Transactions of the Association for Computational Linguistics},
year={2023},
}