Dataset Viewer
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
file: string
shape: list<item: int64>
child 0, item: int64
obs_columns: list<item: string>
child 0, item: string
steps: list<item: struct<completed_at: timestamp[s], file: string, shape: list<item: int64>, obs_columns_be (... 811 chars omitted)
child 0, item: struct<completed_at: timestamp[s], file: string, shape: list<item: int64>, obs_columns_before: list< (... 799 chars omitted)
child 0, completed_at: timestamp[s]
child 1, file: string
child 2, shape: list<item: int64>
child 0, item: int64
child 3, obs_columns_before: list<item: string>
child 0, item: string
child 4, obs_columns_kept: list<item: string>
child 0, item: string
child 5, obs_columns_removed: list<item: string>
child 0, item: string
child 6, label_pairs: struct<perturbation: list<item: struct<original: string, processed: string, cells: int64>>, batch: l (... 153 chars omitted)
child 0, perturbation: list<item: struct<original: string, processed: string, cells: int64>>
child 0, item: struct<original: string, processed: string, cells: int64>
child 0, original: string
child 1, processed: string
child 2, cells: int64
child 1, batch: list<item: struct<original: string, processed: string, cells: int64>>
child 0, item: struct<original: string, processed: string, cells: int64>
child 0, original: string
...
string, cells: int64>
child 0, original: string
child 1, processed: string
child 2, cells: int64
child 7, validation: string
child 8, obs_columns_renamed: struct<batch: string, cell_type0528: string>
child 0, batch: string
child 1, cell_type0528: string
child 9, cell_id_rule: string
child 10, column_sources: struct<perturbation: string, donor_stage: string, cell_type: string>
child 0, perturbation: string
child 1, donor_stage: string
child 2, cell_type: string
child 11, discarded_source_columns: list<item: string>
child 0, item: string
child 12, perturbation_label_changes: struct<IFNb+ IFNg: string, IFNb + TNFa: string, No stimulation: string>
child 0, IFNb+ IFNg: string
child 1, IFNb + TNFa: string
child 2, No stimulation: string
child 13, donor_stage_change: string
child 14, cleared: struct<uns: list<item: string>, obsp: list<item: string>>
child 0, uns: list<item: string>
child 0, item: string
child 1, obsp: list<item: string>
child 0, item: string
metadata_backups_removed: bool
nnz: int64
output: string
max_count: int64
obs_columns_added: list<item: string>
child 0, item: string
source: string
total_counts: int64
completed_at: timestamp[s]
operation: string
source_matrix: string
annotations: string
dtype: string
unique_cell_id: string
to
{'shape': List(Value('int64')), 'nnz': Value('int64'), 'dtype': Value('string'), 'total_counts': Value('int64'), 'max_count': Value('int64'), 'source': Value('string'), 'annotations': Value('string'), 'output': Value('string'), 'source_matrix': Value('string'), 'operation': Value('string'), 'obs_columns_added': List(Value('string')), 'unique_cell_id': Value('string'), 'completed_at': Value('timestamp[s]')}
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
file: string
shape: list<item: int64>
child 0, item: int64
obs_columns: list<item: string>
child 0, item: string
steps: list<item: struct<completed_at: timestamp[s], file: string, shape: list<item: int64>, obs_columns_be (... 811 chars omitted)
child 0, item: struct<completed_at: timestamp[s], file: string, shape: list<item: int64>, obs_columns_before: list< (... 799 chars omitted)
child 0, completed_at: timestamp[s]
child 1, file: string
child 2, shape: list<item: int64>
child 0, item: int64
child 3, obs_columns_before: list<item: string>
child 0, item: string
child 4, obs_columns_kept: list<item: string>
child 0, item: string
child 5, obs_columns_removed: list<item: string>
child 0, item: string
child 6, label_pairs: struct<perturbation: list<item: struct<original: string, processed: string, cells: int64>>, batch: l (... 153 chars omitted)
child 0, perturbation: list<item: struct<original: string, processed: string, cells: int64>>
child 0, item: struct<original: string, processed: string, cells: int64>
child 0, original: string
child 1, processed: string
child 2, cells: int64
child 1, batch: list<item: struct<original: string, processed: string, cells: int64>>
child 0, item: struct<original: string, processed: string, cells: int64>
child 0, original: string
...
string, cells: int64>
child 0, original: string
child 1, processed: string
child 2, cells: int64
child 7, validation: string
child 8, obs_columns_renamed: struct<batch: string, cell_type0528: string>
child 0, batch: string
child 1, cell_type0528: string
child 9, cell_id_rule: string
child 10, column_sources: struct<perturbation: string, donor_stage: string, cell_type: string>
child 0, perturbation: string
child 1, donor_stage: string
child 2, cell_type: string
child 11, discarded_source_columns: list<item: string>
child 0, item: string
child 12, perturbation_label_changes: struct<IFNb+ IFNg: string, IFNb + TNFa: string, No stimulation: string>
child 0, IFNb+ IFNg: string
child 1, IFNb + TNFa: string
child 2, No stimulation: string
child 13, donor_stage_change: string
child 14, cleared: struct<uns: list<item: string>, obsp: list<item: string>>
child 0, uns: list<item: string>
child 0, item: string
child 1, obsp: list<item: string>
child 0, item: string
metadata_backups_removed: bool
nnz: int64
output: string
max_count: int64
obs_columns_added: list<item: string>
child 0, item: string
source: string
total_counts: int64
completed_at: timestamp[s]
operation: string
source_matrix: string
annotations: string
dtype: string
unique_cell_id: string
to
{'shape': List(Value('int64')), 'nnz': Value('int64'), 'dtype': Value('string'), 'total_counts': Value('int64'), 'max_count': Value('int64'), 'source': Value('string'), 'annotations': Value('string'), 'output': Value('string'), 'source_matrix': Value('string'), 'operation': Value('string'), 'obs_columns_added': List(Value('string')), 'unique_cell_id': Value('string'), 'completed_at': Value('timestamp[s]')}
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.
No dataset card yet
- Downloads last month
- 45