Create README.md

README.md

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+---
+task_categories:
+- image-classification
+tags:
+- composition
+---
+
+# Dataset Card for CGQA dataset
+This is the CGQA dataset from the [Learning Graph Embeddings for Compositional Zero-shot Learning](https://arxiv.org/abs/2102.01987) paper.
+
+
+## Citation
+If you use this dataset, please cite the following papers: 
+
+```
+@inproceedings{naeem2021learning,
+  title={Learning graph embeddings for compositional zero-shot learning},
+  author={Naeem, Muhammad Ferjad and Xian, Yongqin and Tombari, Federico and Akata, Zeynep},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={953--962},
+  year={2021}
+}
+```
+
+CGQA is derived from the GQA datset
+```
+@inproceedings{hudson2019gqa,
+  title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
+  author={Hudson, Drew A and Manning, Christopher D},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={6700--6709},
+  year={2019}
+}
+```
+
+The GQA dataset is derived from Visual Genome 
+```
+@article{krishna2017visual,
+  title={Visual genome: Connecting language and vision using crowdsourced dense image annotations},
+  author={Krishna, Ranjay and Zhu, Yuke and Groth, Oliver and Johnson, Justin and Hata, Kenji and Kravitz, Joshua and Chen, Stephanie and Kalantidis, Yannis and Li, Li-Jia and Shamma, David A and others},
+  journal={International journal of computer vision},
+  volume={123},
+  number={1},
+  pages={32--73},
+  year={2017},
+  publisher={Springer}
+}
+```
+
+If you use this dataset with [compositional soft prompting](https://arxiv.org/abs/2204.03574), then cite this paper: 
+```
+@inproceedings{
+  csp2023,
+  title={Learning to Compose Soft Prompts for Compositional Zero-Shot Learning},
+  author={Nihal V. Nayak and Peilin Yu and Stephen H. Bach},
+  booktitle={International Conference on Learning Representations},
+  year={2023}
+}
+```