All datasets / isp-uv-es

isp-uv-es/geobench-m-so2sat-taco

64 downloads in 30 days0 likesLast modified 8 Oct 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at efd77db
Licence files: No licence file at the top level of the repositoryEvidence: file list at efd77db
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

image-classification

Citation text from the card

@inproceedings{lacoste2023geobench,
  title     = {{GEO-Bench}: Toward Foundation Models for Earth Monitoring},
  author    = {Lacoste, Alexandre and Lehmann, Nils and Rodriguez, Pau and Sherwin, Evan David and Kerner, Hannah and L{\"u}tjens, Bj{\"o}rn and Irvin, Jeremy Andrew and Dao, David and Alemohammad, Hamed and Drouin, Alexandre and Gunturkun, Mehmet and Huang, Gabriel and Vazquez, David and Newman, Dava and Bengio, Yoshua and Ermon, Stefano and Zhu, Xiao Xiang},
  booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Datasets and Benchmarks Track},
  pages     = {51080--51093},
  year      = {2023},
  doi       = {10.52202/075280-2223}
}
@article{zhu2020so2sat,
  title   = {{So2Sat LCZ42}: A Benchmark Data Set for the Classification of Global Local Climate Zones},
  author  = {Zhu, Xiao Xiang and Hu, Jingliang and Qiu, Chunping and Shi, Yilei and Kang, Jian and Mou, Lichao and Bagheri, Hossein and Haberle, Matthias and Hua, Yuansheng and Huang, Rong and Hughes, Lloyd and Li, Hao and Sun, Yao and Zhang, Guichen and Han, Shiyao and Schmitt, Michael and Wang, Yuanyuan},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  volume  = {8},
  number  = {3},
  pages   = {76--89},
  year    = {2020},
  doi     = {10.1109/MGRS.2020.2964708}
}

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "isp-uv-es/geobench-m-so2sat-taco" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0