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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
split: string
modes: struct<easy: struct<CD: double, F1: double, DCD: double, n_evals: int64>, median: struct<CD: double, (... 109 chars omitted)
child 0, easy: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
child 1, median: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
child 2, hard: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
paper_table3: struct<seen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>, unseen: s (... 76 chars omitted)
child 0, seen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3, CD-Avg: double
child 4, F1: double
child 1, unseen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3, CD-Avg: double
child 4, F1: double
overall: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double, runtime_s: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3
...
child 4, SeedFormer_pred_CD: double
child 2, Car: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 3, Chair: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 4, Lamp: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 5, Sofa: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 6, Table: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 7, Boat: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
to
{'per_category': {'Plane': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Cabinet': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Car': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Chair': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Lamp': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Sofa': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Table': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Boat': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}}, 'paper_table1': {'CD-Avg': Value('float64'), 'DCD-Avg': Value('float64'), 'F1': Value('float64'), 'per_cat': {'Plane': Value('float64'), 'Cabinet': Value('float64'), 'Car': Value('float64'), 'Chair': Value('float64'), 'Lamp': Value('float64'), 'Sofa': Value('float64'), 'Table': Value('float64'), 'Boat': Value('float64')}, 'SeedFormer_CD': Value('float64')}, 'overall': {'CD-Avg': Value('float64'), 'DCD-Avg': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD-Avg': Value('float64'), 'runtime_s': Value('float64')}}
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/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 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
split: string
modes: struct<easy: struct<CD: double, F1: double, DCD: double, n_evals: int64>, median: struct<CD: double, (... 109 chars omitted)
child 0, easy: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
child 1, median: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
child 2, hard: struct<CD: double, F1: double, DCD: double, n_evals: int64>
child 0, CD: double
child 1, F1: double
child 2, DCD: double
child 3, n_evals: int64
paper_table3: struct<seen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>, unseen: s (... 76 chars omitted)
child 0, seen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3, CD-Avg: double
child 4, F1: double
child 1, unseen: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3, CD-Avg: double
child 4, F1: double
overall: struct<CD-S: double, CD-M: double, CD-H: double, CD-Avg: double, F1: double, runtime_s: double>
child 0, CD-S: double
child 1, CD-M: double
child 2, CD-H: double
child 3
...
child 4, SeedFormer_pred_CD: double
child 2, Car: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 3, Chair: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 4, Lamp: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 5, Sofa: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 6, Table: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
child 7, Boat: struct<n: int64, CD: double, DCD: double, F1: double, SeedFormer_pred_CD: double>
child 0, n: int64
child 1, CD: double
child 2, DCD: double
child 3, F1: double
child 4, SeedFormer_pred_CD: double
to
{'per_category': {'Plane': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Cabinet': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Car': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Chair': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Lamp': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Sofa': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Table': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}, 'Boat': {'n': Value('int64'), 'CD': Value('float64'), 'DCD': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD': Value('float64')}}, 'paper_table1': {'CD-Avg': Value('float64'), 'DCD-Avg': Value('float64'), 'F1': Value('float64'), 'per_cat': {'Plane': Value('float64'), 'Cabinet': Value('float64'), 'Car': Value('float64'), 'Chair': Value('float64'), 'Lamp': Value('float64'), 'Sofa': Value('float64'), 'Table': Value('float64'), 'Boat': Value('float64')}, 'SeedFormer_CD': Value('float64')}, 'overall': {'CD-Avg': Value('float64'), 'DCD-Avg': Value('float64'), 'F1': Value('float64'), 'SeedFormer_pred_CD-Avg': Value('float64'), 'runtime_s': Value('float64')}}
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