Enhance dataset card: Add paper and project page links, update task category, and add paper citation

#2
by nielsr HF Staff - opened
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  1. README.md +14 -2
README.md CHANGED
@@ -1,11 +1,12 @@
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  ---
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- pretty_name: GRAID NuImages Question-Answer Dataset
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  language:
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  - en
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  license: cc-by-nc-4.0
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  task_categories:
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  - visual-question-answering
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  - object-detection
 
 
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  tags:
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  - visual-reasoning
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  - spatial-reasoning
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  # GRAID NuImages Question-Answer Dataset
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  ## Overview
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  This dataset was generated using **GRAID** (**G**enerating **R**easoning questions from **A**nalysis of **I**mages via **D**iscriminative artificial intelligence), a framework for creating spatial reasoning datasets from object detection annotations.
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  If you use this dataset in your research, please cite both the original dataset and the GRAID framework:
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  ```bibtex
 
 
 
 
 
 
 
 
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  @dataset{graid_nuimage,
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  title={GRAID NuImages Question-Answer Dataset},
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  author={GRAID Framework},
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  ## Contact
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- For questions about this dataset or the GRAID framework, please open an issue in the repository.
 
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  ---
 
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  language:
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  - en
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  license: cc-by-nc-4.0
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  task_categories:
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  - visual-question-answering
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  - object-detection
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+ - image-text-to-text
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+ pretty_name: GRAID NuImages Question-Answer Dataset
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  tags:
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  - visual-reasoning
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  - spatial-reasoning
 
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  # GRAID NuImages Question-Answer Dataset
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+ This dataset is presented in the paper [GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation](https://huggingface.co/papers/2510.22118).
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+ Project page: https://ke7.github.io/graid/
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+
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  ## Overview
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  This dataset was generated using **GRAID** (**G**enerating **R**easoning questions from **A**nalysis of **I**mages via **D**iscriminative artificial intelligence), a framework for creating spatial reasoning datasets from object detection annotations.
 
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  If you use this dataset in your research, please cite both the original dataset and the GRAID framework:
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  ```bibtex
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+ @article{graid_paper,
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+ title={{GRAID}: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation},
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+ author={},
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+ year={2025},
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+ journal={arXiv preprint arXiv:2510.22118},
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+ url={https://huggingface.co/papers/2510.22118}
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+ }
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+
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  @dataset{graid_nuimage,
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  title={GRAID NuImages Question-Answer Dataset},
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  author={GRAID Framework},
 
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  ## Contact
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+ For questions about this dataset or the GRAID framework, please open an issue in the repository.