The dataset viewer is not available for this subset.
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.zstarchives, one for each original evaluation root. - One canonical deploy
model.safetensorsand one canonical source BF16full_weights.pt. - Deploy config, normalization statistics, checkpoint profile, and a complete
ARCHIVE_MANIFEST.jsonwith 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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