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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
job: string
run_id: string
started: timestamp[s]
git: string
status: string
error: null
metrics: struct<train_crops: int64, valid_crops: int64, crop_gate_n: int64, crop_gate_stock_exact: int64, cro (... 162 chars omitted)
child 0, train_crops: int64
child 1, valid_crops: int64
child 2, crop_gate_n: int64
child 3, crop_gate_stock_exact: int64
child 4, crop_gate_tuned_exact: int64
child 5, crop_gate_stock_folded: int64
child 6, crop_gate_tuned_folded: int64
child 7, crop_gate_delta_exact_points: double
child 8, crop_gate_ci95: list<item: double>
child 0, item: double
artifacts: list<item: string>
child 0, item: string
hardware: string
ended: timestamp[s]
delta_exact_points: double
tuned_exact: int64
stock_folded: int64
n: int64
tuned_folded: int64
stock_exact: int64
ci95: list<item: double>
child 0, item: double
to
{'n': Value('int64'), 'stock_exact': Value('int64'), 'tuned_exact': Value('int64'), 'stock_folded': Value('int64'), 'tuned_folded': Value('int64'), 'delta_exact_points': Value('float64'), 'ci95': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/json/json.py", line 343, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
job: string
run_id: string
started: timestamp[s]
git: string
status: string
error: null
metrics: struct<train_crops: int64, valid_crops: int64, crop_gate_n: int64, crop_gate_stock_exact: int64, cro (... 162 chars omitted)
child 0, train_crops: int64
child 1, valid_crops: int64
child 2, crop_gate_n: int64
child 3, crop_gate_stock_exact: int64
child 4, crop_gate_tuned_exact: int64
child 5, crop_gate_stock_folded: int64
child 6, crop_gate_tuned_folded: int64
child 7, crop_gate_delta_exact_points: double
child 8, crop_gate_ci95: list<item: double>
child 0, item: double
artifacts: list<item: string>
child 0, item: string
hardware: string
ended: timestamp[s]
delta_exact_points: double
tuned_exact: int64
stock_folded: int64
n: int64
tuned_folded: int64
stock_exact: int64
ci95: list<item: double>
child 0, item: double
to
{'n': Value('int64'), 'stock_exact': Value('int64'), 'tuned_exact': Value('int64'), 'stock_folded': Value('int64'), 'tuned_folded': Value('int64'), 'delta_exact_points': Value('float64'), 'ci95': List(Value('float64'))}
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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