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.

HapticWAM sim provenance (private)

Isaac sim provenance for the teacher-anchor chain: the full sim/waffles working tree as it stood at the end of the campaign, covering how the sim scenes and the teacher anchors were built, tuned and reviewed.

This repository is deliberately private and must stay private. The frozen sim-anchor configs in the public code repository reference directories inside sim/waffles by path and hash-check them at load time, so this tree is the provenance root of that chain and has to stay restorable. The trees here predate the de-identification of the public repository and still carry the working-tree contents from that period. Do not scrub them: their bytes are what the frozen hash chains are computed over, and changing them breaks reproducibility.

Layout

provenance/sim_waffles/<entry>.tar        one per top-level entry of sim/waffles
provenance/sim_waffles/runs/<run>.tar     runs/ is split one tar per run
provenance/sim_waffles/<file>             loose top-level files, uploaded verbatim
provenance/sim_waffles/index.jsonl        one record per unit

runs/ is split per run because it is 34 GB in one directory, which is not sanely stageable, uploadable or retryable as a single tar. Extraction is unaffected.

Every tar is an uncompressed PAX archive whose members sit at their original path relative to sim/waffles, with uid/gid scrubbed and absolute symlinks that point inside the tree rewritten relative. Restoring therefore reproduces the tree exactly and the path-based hash checks in the anchor tools still pass.

Restore

mkdir -p sim/waffles
# download provenance/sim_waffles/ from this repo, then, from that directory:
for f in *.tar runs/*.tar; do tar xf "$f" -C sim/waffles/; done
# loose top-level files are already plain files: copy them into sim/waffles/ as-is

index.jsonl

One JSON object per unit:

field meaning
entry path of the unit relative to sim/waffles
tar path of the object in this repo
bytes size of the uploaded object
members number of members in the tar (1 for a verbatim file)
sha256 sha256 of the uploaded object, checked against the hub's LFS hash after upload
restore_to where the unit lands after extraction
raw_file present and true for loose files uploaded verbatim
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