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
result_id: string
created_at_utc: string
count: int64
input_width: int64
input_height: int64
source: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
mask: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
overlay: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
label_mask: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
instance_labels_npy: binary
bounding_boxes: list<element: fixed_size_list<element: int64>[4]>
child 0, element: fixed_size_list<element: int64>[4]
child 0, element: int64
bounding_box_format: string
prompts_json: string
input_source_json: string
parameters_json: string
instances_json: string
instances_csv: string
run_summary_json: string
medsam3_commit: string
autoxla_commit: string
lora_repository: string
-- schema metadata --
huggingface: '{"info": {"features": {"result_id": {"dtype": "string", "_t' + 1121
to
{'result_id': Value('string'), 'created_at_utc': Value('string'), 'count': Value('int64'), 'input_width': Value('int64'), 'input_height': Value('int64'), 'source_image': Image(mode=None, decode=True), 'instances_colored': Image(mode=None, decode=True), 'instances_overlay': Image(mode=None, decode=True), 'instance_labels': Image(mode=None, decode=True), 'instance_labels_npy': Value('binary'), 'prompts_json': Value('string'), 'input_source_json': Value('string'), 'parameters_json': Value('string'), 'instances_json': Value('string'), 'instances_csv': Value('string'), 'run_summary_json': Value('string'), 'medsam3_commit': Value('string'), 'autoxla_commit': Value('string'), 'lora_repository': 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
result_id: string
created_at_utc: string
count: int64
input_width: int64
input_height: int64
source: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
mask: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
overlay: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
label_mask: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
instance_labels_npy: binary
bounding_boxes: list<element: fixed_size_list<element: int64>[4]>
child 0, element: fixed_size_list<element: int64>[4]
child 0, element: int64
bounding_box_format: string
prompts_json: string
input_source_json: string
parameters_json: string
instances_json: string
instances_csv: string
run_summary_json: string
medsam3_commit: string
autoxla_commit: string
lora_repository: string
-- schema metadata --
huggingface: '{"info": {"features": {"result_id": {"dtype": "string", "_t' + 1121
to
{'result_id': Value('string'), 'created_at_utc': Value('string'), 'count': Value('int64'), 'input_width': Value('int64'), 'input_height': Value('int64'), 'source_image': Image(mode=None, decode=True), 'instances_colored': Image(mode=None, decode=True), 'instances_overlay': Image(mode=None, decode=True), 'instance_labels': Image(mode=None, decode=True), 'instance_labels_npy': Value('binary'), 'prompts_json': Value('string'), 'input_source_json': Value('string'), 'parameters_json': Value('string'), 'instances_json': Value('string'), 'instances_csv': Value('string'), 'run_summary_json': Value('string'), 'medsam3_commit': Value('string'), 'autoxla_commit': Value('string'), 'lora_repository': 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.
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