The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
path: string
bytes: int64
mtime_ns: int64
changed_during_copy: bool
zip_bytes: int64
zip: string
entries: int64
environment_pack: list<item: struct<name: string, source: string, files_before: int64, files_selected: int64, excluded (... 107 chars omitted)
child 0, item: struct<name: string, source: string, files_before: int64, files_selected: int64, excluded_patterns: (... 95 chars omitted)
child 0, name: string
child 1, source: string
child 2, files_before: int64
child 3, files_selected: int64
child 4, excluded_patterns: list<item: string>
child 0, item: string
child 5, strict_package_file_checks: bool
child 6, conda_pack_version: string
child 7, note: string
verified_file_entries: int64
status: string
sha256: string
known_limitations: list<item: string>
child 0, item: string
source_bytes: int64
elapsed_seconds: double
verification: string
to
{'status': Value('string'), 'zip': Value('string'), 'zip_bytes': Value('int64'), 'source_bytes': Value('int64'), 'entries': Value('int64'), 'verified_file_entries': Value('int64'), 'sha256': Value('string'), 'verification': Value('string'), 'elapsed_seconds': Value('float64'), 'environment_pack': List({'name': Value('string'), 'source': Value('string'), 'files_before': Value('int64'), 'files_selected': Value('int64'), 'excluded_patterns': List(Value('string')), 'strict_package_file_checks': Value('bool'), 'conda_pack_version': Value('string'), 'note': Value('string')}), 'known_limitations': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in 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 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
path: string
bytes: int64
mtime_ns: int64
changed_during_copy: bool
zip_bytes: int64
zip: string
entries: int64
environment_pack: list<item: struct<name: string, source: string, files_before: int64, files_selected: int64, excluded (... 107 chars omitted)
child 0, item: struct<name: string, source: string, files_before: int64, files_selected: int64, excluded_patterns: (... 95 chars omitted)
child 0, name: string
child 1, source: string
child 2, files_before: int64
child 3, files_selected: int64
child 4, excluded_patterns: list<item: string>
child 0, item: string
child 5, strict_package_file_checks: bool
child 6, conda_pack_version: string
child 7, note: string
verified_file_entries: int64
status: string
sha256: string
known_limitations: list<item: string>
child 0, item: string
source_bytes: int64
elapsed_seconds: double
verification: string
to
{'status': Value('string'), 'zip': Value('string'), 'zip_bytes': Value('int64'), 'source_bytes': Value('int64'), 'entries': Value('int64'), 'verified_file_entries': Value('int64'), 'sha256': Value('string'), 'verification': Value('string'), 'elapsed_seconds': Value('float64'), 'environment_pack': List({'name': Value('string'), 'source': Value('string'), 'files_before': Value('int64'), 'files_selected': Value('int64'), 'excluded_patterns': List(Value('string')), 'strict_package_file_checks': Value('bool'), 'conda_pack_version': Value('string'), 'note': Value('string')}), 'known_limitations': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
StCas9 project workspace snapshot
Research workspace snapshot for molecular dynamics analysis and protein modeling. The project is incomplete; included experimental outputs are not validated scientific conclusions. Existing component licenses and third-party literature rights remain with their respective owners.
The ZIP contains project code and handover documentation, available stripped MD trajectories, structures and analysis assets, model checkpoints and experiment records, references, and two Linux x86_64 Conda environments. Original fully solvated trajectories were not present locally and are not included. No Hugging Face or SSH login credentials are included in the upload payload.
Download and restore
Download stcas9_transfer_20261102.zip, SHA256SUMS, and TRANSFER_README.md. The ZIP is 237,699,488,100 bytes. Allow at least 500 GB of free space for the archive and extraction.
sha256sum -c SHA256SUMS
unzip stcas9_transfer_20261102.zip -d /target
Then follow TRANSFER_README.md for integrity checks, environment relocation, and the historical path compatibility requirements. PACKAGE_REPORT.json records the local archive validation. The ZIP is available only after its upload completes; metadata can appear earlier.
Expected ZIP SHA256: c8095322542aab0778ca58914b0f1fc76c8fdc12aca2b43cb342d106a9f48cbf.
- Downloads last month
- 98