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.
EXP-2026-005 preregistration bundle
Frozen G2′ registration bundle for a preregistered study of how Hugging Face model and dataset identifiers reach loading sites in Python repositories, and how much of that source-determinable inventory AI bill of materials (AIBOM) generators recover. The bundle was frozen before any study draw, screening, annotation or generator study run.
Contents
| File | Purpose |
|---|---|
design.md |
Registered design (v4.1) with all prospective amendments, in order, at the end of the file |
BUNDLE.md |
Checklist mapping each registration item to its files |
FILES.txt |
The 519 frozen paths |
SHA256SUMS |
SHA-256 of every frozen path |
manifest.json |
Registered constants (n_target = 97, D_H = 2, randomness rule) and the hash of SHA256SUMS |
bundle.tar.gz (+ .sha256) |
All 519 frozen files, including the full SEART-GHS frame export |
Randomness
The study seed comes from the drand default chain (8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce):
the first round scheduled after the server timestamp of the commit that publishes this bundle, with
seed = SHA256("EXP-2026-005:seart-frame:" + randomness hex) (registration/drand_seed.py).
Verify
shasum -a 256 -c bundle.tar.gz.sha256
mkdir b && tar -xzf bundle.tar.gz -C b && (cd b && shasum -a 256 -c ../SHA256SUMS)
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