The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/oteam/ccd@5ef9d035fd38c9c3d941b3470ad29122830ffcb2/components.safetensors.provenance.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 354, in _generate_tables
raise ValueError(
f"Failed to convert pandas DataFrame to Arrow Table from file {file}."
) from None
ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/oteam/ccd@5ef9d035fd38c9c3d941b3470ad29122830ffcb2/components.safetensors.provenance.json.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.
OFoldX Chemical Component Dictionary
Content version: wwpdb-ccd-snapshot-20261024T045615Z-sha256-d5be0434a719108e2dd50708b17b0af26b088c1ce7d751a668aeecf9bdc26949. Format: ofoldx.ccd/7.
Derived from the wwPDB Chemical Component Dictionary; upstream data usage terms and citation: https://www.wwpdb.org/data/ccd .
Source: predownloaded local CCD snapshot (components.cif.gz) from https://files.wwpdb.org/pub/pdb/data/monomers/components.cif.gz.
Upstream Last-Modified: 2026-10-24T04:56:15Z; ETag: "6732934184e72d31bd31667c59d79fe0-15". The local input SHA256 was independently verified against the complete upstream stream.
Source SHA256: d5be0434a719108e2dd50708b17b0af26b088c1ce7d751a668aeecf9bdc26949.
Artifact SHA256: 12f6ad94f268d06ed9c7d7c3e445f1ce4541cb7238f131e5b5f883bc9731d523.
Builder: ofoldx.reference.ccd.build@uninstalled:sha256:c7ede185c73e4d3a7c882956dbd9d14affd820905abca0c167927da94098eef3. Components: 51537. Builder source commit: b3ce70c46f9cdd0bc962b827fc9e2a2ada2b2fed.
components.safetensors contains the canonical component definitions. components.safetensors.provenance.json records source identity and build findings. Definitions preserve unknown and contradicted facts; a successful build does not make all chemistry fully determined.
OFoldX uses the cached oteam/ccd dataset by default. Download a chosen revision with python -m ofoldx.reference.ccd download --repo-id oteam/ccd --revision COMMIT, then set OFOLDX_CCD_ARTIFACT to the printed path.
- Downloads last month
- 20