Hugging Face's logo

Datasets:
Ehzoahis
/
So2Sat

Tasks:
Image Classification
ArXiv:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found So2Sat.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1215, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1175, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found So2Sat.py

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

So2Sat

So2Sat is a local climate zone (LCZ) classification task consisting of images from Sentinel-1 and Sentinel-2. We only keep Sentinel-2 images which have 10 MSI bands in this dataset. In addition, we reserve 10% of the training set as the validation set, resulting in 31,713 training samples, 3,523 validation samples and 48,307 test samples.

How to Use This Dataset 

from datasets import load_dataset

dataset = load_dataset("GFM-Bench/So2Sat")

Also, please see our GFM-Bench repository for more information about how to use the dataset! 🤗

Dataset Metadata

The following metadata provides details about the Sentinel-2 imagery used in the dataset:

  • Number of Sentinel-2 Bands: 10
  • Sentinel-2 Bands: B02 (Blue), B03 (Green), B04 (Red), B05 (Vegetation red edge), B06 (Vegetation red edge), B07 (Vegetation red edge), B08 (NIR), B8A (Narrow NIR), B11 (SWIR), B12 (SWIR)
  • Image Resolution: 32 x 32 pixels
  • Spatial Resolution: 10 meters
  • Number of Classes: 17

Dataset Splits

The So2Sat dataset consists following splits:

  • train: 31,713 samples
  • val: 3,523 samples
  • test: 48,307 samples

Dataset Features:

The So2Sat dataset consists of following features:

  • optical: the Sentinel-2 image.
  • label: the classification label.
  • optical_channel_wv: the central wavelength of each Sentinel-2 bands.
  • spatial_resolution: the spatial resolution of images.

Citation

If you use the So2Sat dataset in your work, please cite the original paper:

@article{zhu2019so2sat,
  title={So2Sat LCZ42: A benchmark dataset for global local climate zones classification},
  author={Zhu, Xiao Xiang and Hu, Jingliang and Qiu, Chunping and Shi, Yilei and Kang, Jian and Mou, Lichao and Bagheri, Hossein and H{\"a}berle, Matthias and Hua, Yuansheng and Huang, Rong and others},
  journal={arXiv preprint arXiv:1912.12171},
  year={2019}
}

and if you also find our benchmark useful, please consider citing our paper:

@misc{si2025scalablefoundationmodelmultimodal,
      title={Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data}, 
      author={Haozhe Si and Yuxuan Wan and Minh Do and Deepak Vasisht and Han Zhao and Hendrik F. Hamann},
      year={2025},
      eprint={2503.12843},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.12843}, 
}
Downloads last month
57
Total file size:
7.22 GB

Papers for Ehzoahis/So2Sat