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Datasets:
FAU-LMS
/
UGC360

Modalities:
Video
Size:
10K<n<100K
Tags:
360-degree
video compression
spherical video
image sequence
video
pytorch-compatible
License:
Dataset card Files
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
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 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory
                  return HubDatasetModuleFactory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 638, 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 292, in infer_module_for_data_files
                  split_modules = {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 293, 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 234, 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 262, 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/utils/file_utils.py", line 993, in xglob
                  fs, *_ = url_to_fs(urlpath, **storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, 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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UGC360

Preview

Dataset of 6866 9-frame 360-degree video sequences collected from 1321 unique videos from Vimeo and Youtube licensed under a Creative Commons License. The dataset is split into three subsets UGC360-S, UGC360-M, and UGC360-L to ease data handling.

Subset Resolutions Minimum Maximum Clips
UGC360-S Part 1, UGC360-S Part 2, UGC360-S Part 3, UGC360-S Part 4 .5K - 2.5K 640x320 2560x1440 5080
UGC360-M Part 1, UGC360-M Part 2, UGC360-M Part 3 3K - 6K 3072x1536 5760x2880 1618
UGC360-L 8K 7680x3840 7680x4320 168

Unpacking the dataset

Due to file size limitations on the Hugging Face platform, we had to upload the UGC360-S and UGC360-M subset archives as multipart zip files. To unzip these multipart zips, download all multipart zip files (.z01, z02, ..., .zip) of a subset to the same folder. From that folder, execute

zip -s- UGC360-S.zip -O UGC360-S-all.zip
unzip UGC360-S-all.zip

Replace 'UGC360-S' by 'UGC360-M' to do the same for the UGC360-M subset. The directory structure of the final dataset should then follow

.
├── UGC360-L
│   ├── ugc360-l.csv
│   ├── <video_id>/
│   │   ├── <clip_id>/
│   │   │   ├── 01.png
│   │   │   ├── 02.png
│   │   │   ├── 03.png
│   │   │   ├── ...
│   │   │   └── 09.png
│
├── UGC360-M
│   ├── ugc360-m.csv
│   ├── <video_id>/
│   │   ├── <clip_id>/
│   │   │   ├── 01.png
│   │   │   └── ...
│
└── UGC360-S
    ├── ugc360-s.csv
    ├── <video_id>/
    │   ├── <clip_id>/
    │   │   ├── 01.png
    │   │   └── ...

License

The UGC360 subset is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

Each individual clip within the dataset originates from videos published under various Creative Commons licenses (e.g., CC-BY, CC-BY-SA). The corresponding license for each clip is documented in the CSV metadata files within each subset folder:

  • UGC360-S/ugc360-s.csv
  • UGC360-M/ugc360-m.csv
  • UGC360-L/ugc360-l.csv

Each row contains a license column indicating the license of the source video.

Attribution and Compliance

We collected only videos explicitly marked as Creative Commons on their original platforms (YouTube or Vimeo). For each clip, the dataset includes attribution information:

  • Video ID
  • Clip ID
  • Publisher
  • Original video URL
  • License type
  • Publication date

If you use this dataset, you are required to:

  1. Comply with the CC license of each video
  2. Attribute the dataset as a whole as:

    UGC360 Dataset (CC BY-SA 4.0)

If you redistribute or modify this dataset, you must do so under the same license (CC BY-SA 4.0).

Publication

If you use this dataset, please cite

@inproceedings{regensky2025nvc360,
  title     = {Beyond Perspective: Neural 360-Degree Video Compression},
  author    = {Andy Regensky and Marc Windsheimer and Fabian Brand and André Kaup},
  booktitle = {accepted for the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year      = {2025}
}
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