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Error code: ConfigNamesError Exception: BadZipFile Message: zipfiles that span multiple disks are not supported 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 get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1871, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1846, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1240, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 584, in infer_module_for_data_files split_modules = { File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 585, in <dictcomp> split: infer_module_for_data_files_list(data_files_list, download_config=download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 526, in infer_module_for_data_files_list return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 554, in infer_module_for_data_files_list_in_archives for f in xglob(extracted, recursive=True, download_config=download_config)[ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 576, in xglob fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 622, in get_fs_token_paths fs = filesystem(protocol, **inkwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 290, in filesystem return cls(**storage_options) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 79, in __call__ obj = super().__call__(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 57, in __init__ self.zip = zipfile.ZipFile( File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__ self._RealGetContents() File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents endrec = _EndRecData(fp) File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData return _EndRecData64(fpin, -sizeEndCentDir, endrec) File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64 raise BadZipFile("zipfiles that span multiple disks are not supported") zipfile.BadZipFile: zipfiles that span multiple disks are not supported
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Dataset: PhilEO Downstream Tasks
A novel 400GB Sentinel-2 dataset of the PhilEO Bench containing labels for the three downstream tasks of building density estimation, road segmentation, and land cover classification.
Dataset Details
Dataset Description
The PhilEO dataset is a 400GB global dataset of Sentinel-2 images and has labels for roads, buildings, and land cover, where these are the three downstream tasks. The data is sampled from geographically diverse regions around the globe including: Denmark, East Africa, Egypt, Guinea, Europe, Ghana, Israel, Japan, Nigeria, North America, Senegal, South America, Tanzania, and Uganda. Each region has up to 200 tiles of varying sizes. Some locations have been revisited up to 3 times.
The data contain 11 bands at 10m resolution in the following order: 0-SCL, 1-B02, 2-B03, 3-B04, 4-B08, 5-B05, 6-B06, 7-B07, 8-B8A, 9-B11, and 10-B12 where SCL is the Scene Classification Layer.
- Curated by: ESA Phi-lab
- License: MIT
Uses
The dataset can be used to evaluate any EO Foundation Model.
Dataset Sources
The basic links for the dataset:
- Repository: http://huggingface.co/datasets/ESA-philab/PhilEO-downstream
- Paper: http://arxiv.org/pdf/2401.04464.pdf
- Project Website: http://phileo-bench.github.io
- Code GitHub: http://github.com/ESA-PhiLab/PhilEO-Bench
- Dataset also in: http://www.eotdl.com/datasets/PhilEO-downstream
- arXiv: http://arxiv.org/abs/2401.04464
Citation
Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, and Bertrand Le Saux, “PhilEO Bench: Evaluating Geo-Spatial Foundation Models,” arXiv:2401.04464, 2024.
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