docs: add SynPASS dataset card

README.md

@@ -0,0 +1,108 @@
+---
+license: apache-2.0
+task_categories:
+- image-segmentation
+task_ids:
+- semantic-segmentation
+pretty_name: SynPASS
+tags:
+- panoramic-vision
+- autonomous-driving
+- semantic-segmentation
+- synthetic
+- 360-degree
+- cvpr-2022
+---
+
+# SynPASS: Synthetic Panoramic Semantic Segmentation Benchmark
+
+Official Dataset Repository for the **SynPASS** benchmark (Trans4PASS / Trans4PASS+).
+
+- **GitHub Repository:** https://github.com/InSAI-Lab/Trans4PASS
+- **Paper (Trans4PASS, CVPR 2022):** [arXiv:2203.01452](https://arxiv.org/abs/2203.01452)
+- **Paper (Trans4PASS+, arXiv 2022):** [arXiv:2207.11860](https://arxiv.org/abs/2207.11860)
+- **Model Checkpoints:** [InSAI-Lab/Trans4PASS](https://huggingface.co/InSAI-Lab/Trans4PASS)
+
+---
+
+## Dataset Description
+
+The **SynPASS** dataset contains **9,080** panoramic images (1024x2048) across **22** semantic categories.
+The dataset covers diverse scenarios:
+- Weather: Cloudy, Foggy, Rainy, Sunny
+- Lighting: Day-time, Night-time
+
+### Statistics
+
+| Condition | Cloudy | Foggy | Rainy | Sunny | Total |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **Split (train/val/test)** | 1420/420/430 | 1420/430/420 | 1420/430/420 | 1440/410/420 | 5700/1690/1690 |
+| **Split (day/night)** | 1980/290 | 1710/560 | 2040/230 | 1970/300 | 7700/1380 |
+| **Total Frames** | 2270 | 2270 | 2270 | 2270 | **9080** |
+
+## File Structure
+
+The dataset archive `SynPASS.tar.gz` (~4.8 GB) unpacks into:
+
+```text
+SynPASS/
+├── img/
+│   ├── cloud/
+│   ├── fog/
+│   ├── rain/
+│   └── sun/
+└── semantic/
+    ├── cloud/
+    ├── fog/
+    ├── rain/
+    └── sun/
+```
+
+## Quick Start & Download
+
+Using the Hugging Face CLI:
+
+```bash
+# Download dataset archive
+hf download InSAI-Lab/SynPASS SynPASS.tar.gz --type dataset --local-dir ./datasets
+
+# Extract archive
+cd ./datasets
+tar -zxvf SynPASS.tar.gz
+```
+
+Using Python (`huggingface_hub`):
+
+```python
+from huggingface_hub import hf_hub_download
+
+dataset_path = hf_hub_download(
+    repo_id="InSAI-Lab/SynPASS",
+    repo_type="dataset",
+    filename="SynPASS.tar.gz",
+    local_dir="./datasets"
+)
+```
+
+## Citation
+
+```bibtex
+@inproceedings{zhang2022bending,
+  title={Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation},
+  author={zhang, Jiaming and Yang, Kailun and Ma, Chaoxiang and Rei{\ss}, Simon and Peng, Kunyu and Stiefelhagen, Rainer},
+  booktitle={CVPR},
+  pages={16917--16927},
+  year={2022}
+}
+
+@article{zhang2022behind,
+  title={Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation},
+  author={Zhang, Jiaming and Yang, Kailun and Shi, Hao and Rei{\ss}, Simon and Peng, Kunyu and Ma, Chaoxiang and Fu, Haodong and Wang, Kaiwei and Stiefelhagen, Rainer},
+  journal={arXiv preprint arXiv:2207.11860},
+  year={2022}
+}
+```
+
+## License
+
+This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).