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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
path: string
bytes: int64
mtime_ns: int64
changed_during_copy: bool
zip_bytes: int64
verified_file_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
entries: int64
status: string
sha256: string
source_bytes: int64
verification: string
elapsed_seconds: double
zip: string
known_limitations: list<item: string>
  child 0, item: 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
              verified_file_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
              entries: int64
              status: string
              sha256: string
              source_bytes: int64
              verification: string
              elapsed_seconds: double
              zip: string
              known_limitations: list<item: string>
                child 0, item: 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

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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.

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