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_index_length_checked: int64
var_names_unique: bool
dtype: string
nnz: int64
sample_nonnegative_integer: bool
cells: int64
obs_added: list<item: string>
child 0, item: string
obs_renamed: struct<cell_name: string, canonical_smiles: string>
child 0, cell_name: string
child 1, canonical_smiles: string
temporary_metadata_cleaned_at: timestamp[s]
completed_at: timestamp[s]
obs_retained: list<item: string>
child 0, item: string
by_file: struct<data/cell_lines/A-172.h5ad: struct<shape: list<item: int64>, cells_matched: int64, SMILES_tri (... 28784 chars omitted)
child 0, data/cell_lines/A-172.h5ad: struct<shape: list<item: int64>, cells_matched: int64, SMILES_trimmed_cells: int64, control_by_plate (... 446 chars omitted)
child 0, shape: list<item: int64>
child 0, item: int64
child 1, cells_matched: int64
child 2, SMILES_trimmed_cells: int64
child 3, control_by_plate: struct<plate10: int64, plate11: int64, plate12: int64, plate13: int64, plate14: int64, plate1: int64 (... 121 chars omitted)
child 0, plate10: int64
child 1, plate11: int64
child 2, plate12: int64
child 3, plate13: int64
child 4, plate14: int64
child 5, plate1: int64
child 6, plate2: int64
child 7, plate3: int64
child 8, plate4: int64
child 9, plate5: int64
child 10, plate6: int64
child 11, plat
...
plate: struct<plate10: int64, plate11: int64, plate12: int64, plate13: int64, plate14: int64, plate1: int64 (... 121 chars omitted)
child 0, plate10: int64
child 1, plate11: int64
child 2, plate12: int64
child 3, plate13: int64
child 4, plate14: int64
child 5, plate1: int64
child 6, plate2: int64
child 7, plate3: int64
child 8, plate4: int64
child 9, plate5: int64
child 10, plate6: int64
child 11, plate7: int64
child 12, plate8: int64
child 13, plate9: int64
child 4, CSR_and_index_objects_retained_in_place: bool
child 5, matrix_and_index_addresses: struct<X: int64, X/data: int64, X/indices: int64, X/indptr: int64, obs/_index: int64, var/_index: in (... 45 chars omitted)
child 0, X: int64
child 1, X/data: int64
child 2, X/indices: int64
child 3, X/indptr: int64
child 4, obs/_index: int64
child 5, var/_index: int64
child 6, var/gene_symbol: int64
child 7, obs/drug: int64
validation: string
started_at: timestamp[s]
sample_stored: bool
obs_removed: list<item: string>
child 0, item: string
metadata_rows: int64
var_retained: list<item: string>
child 0, item: string
backup_created: bool
SMILES_trimmed_cells: int64
var_removed: list<item: string>
child 0, item: string
temporary_metadata_removed: list<item: string>
child 0, item: string
files: int64
to
{'started_at': Value('timestamp[s]'), 'metadata_rows': Value('int64'), 'sample_stored': Value('bool'), 'obs_retained': List(Value('string')), 'obs_renamed': {'cell_name': Value('string'), 'canonical_smiles': Value('string')}, 'obs_removed': List(Value('string')), 'obs_added': List(Value('string')), 'var_retained': List(Value('string')), 'var_removed': List(Value('string')), 'backup_created': Value('bool'), 'by_file': {'data/cell_lines/A-172.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'), 'plate13': Value('int64'), 'plate14': Value('int64'), 'plate1': Value('int64'), 'plate2': Value('int64'), 'plate3': Value('int64'), 'plate4': Value('int64'), 'plate5': Value('int64'), 'plate6': Value('int64'), 'plate7': Value('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}, 'data/cell_lines/A-427.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'
...
('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}, 'data/cell_lines/hTERT-HPNE.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'), 'plate13': Value('int64'), 'plate14': Value('int64'), 'plate1': Value('int64'), 'plate2': Value('int64'), 'plate3': Value('int64'), 'plate4': Value('int64'), 'plate5': Value('int64'), 'plate6': Value('int64'), 'plate7': Value('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}}, 'validation': Value('string'), 'completed_at': Value('timestamp[s]'), 'cells': Value('int64'), 'files': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'temporary_metadata_removed': List(Value('string')), 'temporary_metadata_cleaned_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_index_length_checked: int64
var_names_unique: bool
dtype: string
nnz: int64
sample_nonnegative_integer: bool
cells: int64
obs_added: list<item: string>
child 0, item: string
obs_renamed: struct<cell_name: string, canonical_smiles: string>
child 0, cell_name: string
child 1, canonical_smiles: string
temporary_metadata_cleaned_at: timestamp[s]
completed_at: timestamp[s]
obs_retained: list<item: string>
child 0, item: string
by_file: struct<data/cell_lines/A-172.h5ad: struct<shape: list<item: int64>, cells_matched: int64, SMILES_tri (... 28784 chars omitted)
child 0, data/cell_lines/A-172.h5ad: struct<shape: list<item: int64>, cells_matched: int64, SMILES_trimmed_cells: int64, control_by_plate (... 446 chars omitted)
child 0, shape: list<item: int64>
child 0, item: int64
child 1, cells_matched: int64
child 2, SMILES_trimmed_cells: int64
child 3, control_by_plate: struct<plate10: int64, plate11: int64, plate12: int64, plate13: int64, plate14: int64, plate1: int64 (... 121 chars omitted)
child 0, plate10: int64
child 1, plate11: int64
child 2, plate12: int64
child 3, plate13: int64
child 4, plate14: int64
child 5, plate1: int64
child 6, plate2: int64
child 7, plate3: int64
child 8, plate4: int64
child 9, plate5: int64
child 10, plate6: int64
child 11, plat
...
plate: struct<plate10: int64, plate11: int64, plate12: int64, plate13: int64, plate14: int64, plate1: int64 (... 121 chars omitted)
child 0, plate10: int64
child 1, plate11: int64
child 2, plate12: int64
child 3, plate13: int64
child 4, plate14: int64
child 5, plate1: int64
child 6, plate2: int64
child 7, plate3: int64
child 8, plate4: int64
child 9, plate5: int64
child 10, plate6: int64
child 11, plate7: int64
child 12, plate8: int64
child 13, plate9: int64
child 4, CSR_and_index_objects_retained_in_place: bool
child 5, matrix_and_index_addresses: struct<X: int64, X/data: int64, X/indices: int64, X/indptr: int64, obs/_index: int64, var/_index: in (... 45 chars omitted)
child 0, X: int64
child 1, X/data: int64
child 2, X/indices: int64
child 3, X/indptr: int64
child 4, obs/_index: int64
child 5, var/_index: int64
child 6, var/gene_symbol: int64
child 7, obs/drug: int64
validation: string
started_at: timestamp[s]
sample_stored: bool
obs_removed: list<item: string>
child 0, item: string
metadata_rows: int64
var_retained: list<item: string>
child 0, item: string
backup_created: bool
SMILES_trimmed_cells: int64
var_removed: list<item: string>
child 0, item: string
temporary_metadata_removed: list<item: string>
child 0, item: string
files: int64
to
{'started_at': Value('timestamp[s]'), 'metadata_rows': Value('int64'), 'sample_stored': Value('bool'), 'obs_retained': List(Value('string')), 'obs_renamed': {'cell_name': Value('string'), 'canonical_smiles': Value('string')}, 'obs_removed': List(Value('string')), 'obs_added': List(Value('string')), 'var_retained': List(Value('string')), 'var_removed': List(Value('string')), 'backup_created': Value('bool'), 'by_file': {'data/cell_lines/A-172.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'), 'plate13': Value('int64'), 'plate14': Value('int64'), 'plate1': Value('int64'), 'plate2': Value('int64'), 'plate3': Value('int64'), 'plate4': Value('int64'), 'plate5': Value('int64'), 'plate6': Value('int64'), 'plate7': Value('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}, 'data/cell_lines/A-427.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'
...
('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}, 'data/cell_lines/hTERT-HPNE.h5ad': {'shape': List(Value('int64')), 'cells_matched': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'control_by_plate': {'plate10': Value('int64'), 'plate11': Value('int64'), 'plate12': Value('int64'), 'plate13': Value('int64'), 'plate14': Value('int64'), 'plate1': Value('int64'), 'plate2': Value('int64'), 'plate3': Value('int64'), 'plate4': Value('int64'), 'plate5': Value('int64'), 'plate6': Value('int64'), 'plate7': Value('int64'), 'plate8': Value('int64'), 'plate9': Value('int64')}, 'CSR_and_index_objects_retained_in_place': Value('bool'), 'matrix_and_index_addresses': {'X': Value('int64'), 'X/data': Value('int64'), 'X/indices': Value('int64'), 'X/indptr': Value('int64'), 'obs/_index': Value('int64'), 'var/_index': Value('int64'), 'var/gene_symbol': Value('int64'), 'obs/drug': Value('int64')}}}, 'validation': Value('string'), 'completed_at': Value('timestamp[s]'), 'cells': Value('int64'), 'files': Value('int64'), 'SMILES_trimmed_cells': Value('int64'), 'temporary_metadata_removed': List(Value('string')), 'temporary_metadata_cleaned_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.
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