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/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              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 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/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.

DarkVGGT eval datasets (processed)

Processed evaluation datasets used by DarkVGGT (NeurIPS submission 7337) ablation experiments. Shared as-is for reproduction of the paper's evaluation protocol.

Contents

Archive Dataset Size Description
eth3d_processed_dust3r.tar.gz ETH3D (DUSt3R-processed) ~176 MB ETH3D scenes preprocessed in DUSt3R format (per-scene dirs + all_pairs.npz)
scannetpp_test_set_processed.tar.gz ScanNet++ test set (processed) ~2.3 GB ScanNet++ test scenes, preprocessed (per-scene hash dirs)

Usage

# download
huggingface-cli download mskweon/darkvggt-eval-data --repo-type dataset --local-dir ./darkvggt-eval-data

# extract
tar xzf eth3d_processed_dust3r.tar.gz            # → eth3d_processed_dust3r/
tar xzf scannetpp_test_set_processed.tar.gz      # → scannetpp_test_set_processed/

Then point the config's eval_paths (eth3d_dir, scannetpp_dir) at the extracted directories.

Licenses

These are derivative, processed versions of the original datasets. The original license terms of each dataset apply — by downloading you agree to comply with them:

  • ScanNet++ — custom research license; requires registration and agreement on the official site. Non-commercial research use only.
  • ETH3D — see the ETH3D terms of use.

If you publish results using these, cite the original datasets.

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