Add dataset card for SounDiT

README.md

@@ -1 +1,39 @@
-### Coming soon
+---
+task_categories:
+- other
+tags:
+- audio-to-image
+- landscape-generation
+- geo-contextual
+---
+
+# SounDiT: Geo-Contextual Soundscape-to-Landscape Generation
+
+[Project Page](https://gisense.github.io/SounDiT-Page/) | [Paper](https://huggingface.co/papers/2505.12734) | [GitHub](https://github.com/GISense/SounDiT)
+
+This repository contains the datasets for **SounDiT**, a model designed for Geo-contextual Soundscape-to-Landscape (GeoS2L) generation. The task focuses on synthesizing geographically realistic landscape images from environmental soundscapes.
+
+## Dataset Description
+
+To support the GeoS2L task, the authors constructed two large-scale geo-contextual multi-modal datasets:
+
+*   **SoundingSVI**: Pairs diverse environmental soundscapes with real-world landscape images (Street View Imagery).
+*   **SonicUrban**: A dataset focusing on urban environmental soundscapes and their corresponding landscape imagery.
+
+These datasets provide the necessary pairings between environmental audio and visual geo-contextual scenes to enable the training of models that understand the relationship between soundscapes and landscapes.
+
+## Citation
+
+If you use these datasets in your research, please cite the following paper:
+
+```bibtex
+@misc{wang2025sounditgeocontextualsoundscapetolandscapegeneration,
+  title={SounDiT: Geo-Contextual Soundscape-to-Landscape Generation},
+  author={Junbo Wang and Haofeng Tan and Bowen Liao and Albert Jiang and Teng Fei and Qixing Huang and Zhengzhong Tu and Shan Ye and Yuhao Kang},
+  year={2025},
+  eprint={2505.12734},
+  archivePrefix={arXiv},
+  primaryClass={cs.SD},
+  url={https://arxiv.org/abs/2505.12734}
+}
+```