kd7 nielsr HF Staff commited on
Commit
9f90c25
·
verified ·
1 Parent(s): c6bdaa4

Update dataset card: Add paper/project links, correct license, and add task category (#2)

Browse files

- Update dataset card: Add paper/project links, correct license, and add task category (8363ebb1606b5223673f15297cc5a31ed34ec28f)


Co-authored-by: Niels Rogge <[email protected]>

Files changed (1) hide show
  1. README.md +15 -4
README.md CHANGED
@@ -1,11 +1,12 @@
1
  ---
2
- pretty_name: GRAID BDD100K Question-Answer Dataset
3
  language:
4
  - en
5
- license: bsd-3-clause
6
  task_categories:
7
  - visual-question-answering
8
  - object-detection
 
 
9
  tags:
10
  - visual-reasoning
11
  - spatial-reasoning
@@ -61,6 +62,8 @@ dataset_info:
61
 
62
  # GRAID BDD100K Question-Answer Dataset
63
 
 
 
64
  ## Overview
65
 
66
  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.
@@ -177,9 +180,17 @@ This dataset is derived from the BDD100K dataset. Please refer to the [BDD100K l
177
 
178
  ## Citation
179
 
180
- If you use this dataset in your research, please cite both the original dataset and the GRAID framework:
181
 
182
  ```bibtex
 
 
 
 
 
 
 
 
183
  @dataset{graid_bdd,
184
  title={GRAID BDD100K Question-Answer Dataset},
185
  author={GRAID Framework},
@@ -202,4 +213,4 @@ If you use this dataset in your research, please cite both the original dataset
202
 
203
  ## Contact
204
 
205
- For questions about this dataset or the GRAID framework, please open an issue in the repository.
 
1
  ---
 
2
  language:
3
  - en
4
+ license: cc-by-nc-sa-4.0
5
  task_categories:
6
  - visual-question-answering
7
  - object-detection
8
+ - image-text-to-text
9
+ pretty_name: GRAID BDD100K Question-Answer Dataset
10
  tags:
11
  - visual-reasoning
12
  - spatial-reasoning
 
62
 
63
  # GRAID BDD100K Question-Answer Dataset
64
 
65
+ [Paper](https://huggingface.co/papers/2510.22118) | [Project Page](https://ke7.github.io/graid/)
66
+
67
  ## Overview
68
 
69
  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.
 
180
 
181
  ## Citation
182
 
183
+ If you use this dataset in your research, please cite both the original dataset, the BDD100K dataset, and the GRAID framework paper:
184
 
185
  ```bibtex
186
+ @article{graid2025spatial,
187
+ title={GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation},
188
+ author={{Anonymous}},
189
+ journal={arXiv preprint arXiv:2510.22118},
190
+ year={2025},
191
+ url={https://huggingface.co/papers/2510.22118}
192
+ }
193
+
194
  @dataset{graid_bdd,
195
  title={GRAID BDD100K Question-Answer Dataset},
196
  author={GRAID Framework},
 
213
 
214
  ## Contact
215
 
216
+ For questions about this dataset or the GRAID framework, please open an issue in the repository.