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Datasets:
mespinosami
/
copgen-edinburgh-subset

Tasks:
Image-to-Image
Modalities:
Geospatial
ArXiv:
Tags:
earth-observation
remote-sensing
copernicus
sentinel
multimodal
major-tom
License:
Dataset card Files
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 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
                  raise ValueError(
              ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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COP-GEN Edinburgh Subset

arXiv GitHub Website HF Model HF VAEs HF Benchmark HF Collection

A small pre-compiled subset of Major-TOM Copernicus data covering the Edinburgh region. Intended as a ready-to-use development and demonstration dataset for COP-GEN — no download scripting or preprocessing required. All modalities are spatially aligned and patchified.

Modalities

S1RTC (VV, VH), S2L1C (all bands + cloud mask), S2L2A (all bands), DEM, LULC.

Download 

git clone https://huggingface.co/datasets/mespinosami/copgen-edinburgh-subset ./data/majorTOM/edinburgh
for f in ./data/majorTOM/edinburgh/*.zip; do
    unzip -q "$f" -d ./data/majorTOM/edinburgh/
done
rm ./data/majorTOM/edinburgh/*.zip
rm -rf ./data/majorTOM/edinburgh/.git ./data/majorTOM/edinburgh/.gitattributes

Once downloaded, you can run conditional or unconditional generation immediately using the COP-GEN examples.

Relationship to Other Resources

This subset is for local development and quick-start use only. For rigorous evaluation, use the COP-GEN Benchmark. For the full training pipeline, see the GitHub README.

Citation 

@article{copgen2026,
    title   = {COP-GEN: Latent Diffusion Transformer for Copernicus Earth
               Observation Data},
    author  = {Espinosa, Miguel and Gmelich Meijling, Eva and Marsocci,
               Valerio and Crowley, Elliot J. and Czerkawski, Mikolaj},
    year    = {2026},
    journal = {arXiv preprint arXiv:2603.03239},
    url     = {https://arxiv.org/abs/2603.03239},
}
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