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 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1387, in _iter_from_urlpath
                  yield from cls._iter_tar(f)
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1338, in _iter_tar
                  stream = tarfile.open(fileobj=f, mode="r|*")
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
                  t = cls(name, filemode, stream, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
                  self.firstmember = self.next()
                                     ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
                  raise ReadError(str(e)) from None
              tarfile.ReadError: invalid header
              
              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 66, 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 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, 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.

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.

VSIBench

This dataset upload contains the contents of:

/scratch/dwirtz1/qic/spatialcode_data

The original directory contains 1,841,072 files across:

  • arkitscenes/
  • scannet/
  • scannetpp/

To keep the Hugging Face dataset repository usable, the data is stored as split .tar.zst archives instead of uploading the raw file tree.

Storage Requirements

The uploaded split archives take about 119G on disk (126.9GB decimal). After extraction, the restored spatialcode_data/ directory takes about 127G on disk (130.9GB decimal).

Plan for:

  • 119G to download and store only the compressed archive parts.
  • 127G for the fully extracted spatialcode_data/ directory.
  • About 246G total if you keep both the downloaded archives and extracted data at the same time.
  • 270G+ free space is recommended to leave room for filesystem overhead and partial downloads.

If disk space is tight, restore one source at a time and delete its archive parts after verifying extraction.

Download

Install the Hugging Face CLI if needed:

pip install -U huggingface_hub

Download the dataset files into a local folder:

hf download qicq1c/VSIBench \
  --repo-type dataset \
  --local-dir VSIBench \
  --local-dir-use-symlinks False

This creates a folder like:

VSIBench/
  README.md
  SHA256SUMS
  arkitscenes.tar.zst.part-000
  ...
  scannet.tar.zst.part-000
  ...
  scannetpp.tar.zst.part-000
  ...

Verify

Check that all downloaded archive parts match the uploaded checksums:

cd VSIBench
sha256sum -c SHA256SUMS

Restore Directory Structure

The archives contain the original top-level directories. To recreate the original spatialcode_data directory structure:

cd VSIBench
mkdir -p spatialcode_data

cat arkitscenes.tar.zst.part-* | tar --zstd -xf - -C spatialcode_data
cat scannet.tar.zst.part-* | tar --zstd -xf - -C spatialcode_data
cat scannetpp.tar.zst.part-* | tar --zstd -xf - -C spatialcode_data

After extraction, the restored layout is:

VSIBench/
  spatialcode_data/
    arkitscenes/
    scannet/
    scannetpp/

This matches the contents of the original source directory:

/scratch/dwirtz1/qic/spatialcode_data/
  arkitscenes/
  scannet/
  scannetpp/

If you want to restore directly to a specific absolute path, create that directory and use it as the extraction target:

mkdir -p /scratch/dwirtz1/qic/spatialcode_data
cat arkitscenes.tar.zst.part-* | tar --zstd -xf - -C /scratch/dwirtz1/qic/spatialcode_data
cat scannet.tar.zst.part-* | tar --zstd -xf - -C /scratch/dwirtz1/qic/spatialcode_data
cat scannetpp.tar.zst.part-* | tar --zstd -xf - -C /scratch/dwirtz1/qic/spatialcode_data

Restore One Subset

You can also restore only one source:

mkdir -p spatialcode_data
cat scannet.tar.zst.part-* | tar --zstd -xf - -C spatialcode_data
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