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 80, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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 68, 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.

BEHAVIOR Explore Language Following - Curated Evaluation Archive

This public dataset preserves the FAST step600 evaluation evidence while excluding OmniGibson runtime caches and duplicate weight copies.

Contents

  • Five tar.zst archives, one for each original evaluation root.
  • One canonical deploy model.safetensors and one canonical source BF16 full_weights.pt.
  • Deploy config, normalization statistics, checkpoint profile, and a complete ARCHIVE_MANIFEST.json with source paths, byte counts, SHA-256 hashes, exclusions, and duplicate restoration mappings.

Restore

hf download scilwb/behavior-explore-language-following \
  --repo-type dataset --local-dir behavior-explore-language-following

cd behavior-explore-language-following
for archive in archives/*.tar.zst; do
  root="restored/$(basename "${archive%.tar.zst}")"
  mkdir -p "$root"
  tar --zstd -xf "$archive" -C "$root"
done

Verify each downloaded object against ARCHIVE_MANIFEST.json. The canonical deploy model is under models/fast-step600-corrected-cvd/. For every omitted large duplicate, deduplicated_large_files records the original absolute path, size, SHA-256, and restore_from_repo_path. Copy or hard-link that canonical object into the recorded relative location only when its hash matches.

The correctedCVD_debug archive is intentionally empty: its only complete large file is a duplicate source BF16 object, while .tmpTMlmF4 is an incomplete temporary object with a different hash and is retained only as manifest evidence.

The excluded tmp/** trees are simulator caches, not evaluation evidence, and are regenerated by OmniGibson when needed. No local source file was deleted by this archive.

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