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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
smoke: bool
parsed: int64
total: int64
parsed_frac: double
metrics: struct<n: double, k: double, mean_pass1_A: double, mean_pass1_B: double, A_lmcc_zero_r: double, A_lm (... 844 chars omitted)
child 0, n: double
child 1, k: double
child 2, mean_pass1_A: double
child 3, mean_pass1_B: double
child 4, A_lmcc_zero_r: double
child 5, A_lmcc_zero_p: double
child 6, A_lmcc_partial_r: double
child 7, A_lmcc_partial_p: double
child 8, A_cc_zero_r: double
child 9, A_cc_zero_p: double
child 10, A_cc_partial_r: double
child 11, A_cc_partial_p: double
child 12, A_halstead_zero_r: double
child 13, A_halstead_zero_p: double
child 14, A_halstead_partial_r: double
child 15, A_halstead_partial_p: double
child 16, B_lmcc_zero_r: double
child 17, B_lmcc_zero_p: double
child 18, B_lmcc_partial_r: double
child 19, B_lmcc_partial_p: double
child 20, B_cc_zero_r: double
child 21, B_cc_zero_p: double
child 22, B_cc_partial_r: double
child 23, B_cc_partial_p: double
child 24, B_halstead_zero_r: double
child 25, B_halstead_zero_p: double
child 26, B_halstead_partial_r: double
child 27, B_halstead_partial_p: double
child 28, A_lmcc_noent_zero_r: double
child 29, A_lmcc_noent_zero_p: double
child 30, A_lmcc_noent_partial_r: double
child 31, A_lmcc_noent_partial_p: double
child 32, A_lmcc_nodelim_zero_r: double
child 33, A_lmcc_nodelim_zero_p: double
child 34, A_lmcc_nodelim_partial_r: double
child 35, A_lmcc_nodelim_partial_p: double
child 36, parsed: double
sec_per_item: double
A_halstead_zero_p: double
B_lmcc_partial_r: double
A_lmcc_noent_partial_r: double
A_lmcc_nodelim_zero_p: double
A_lmcc_partial_p: double
B_cc_partial_p: double
A_lmcc_zero_p: double
config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string, (... 122 chars omitted)
child 0, n: int64
child 1, stub: bool
child 2, smoke: bool
child 3, dump_raw: int64
child 4, model: null
child 5, dtype: string
child 6, out: string
child 7, seed: int64
child 8, upload_repo: string
child 9, k: int64
child 10, gen_model: string
child 11, gen_model_b: string
child 12, entropy_model: string
child 13, max_new: int64
A_halstead_partial_r: double
B_cc_zero_r: double
A_cc_partial_p: double
A_halstead_zero_r: double
A_lmcc_nodelim_partial_p: double
A_lmcc_noent_partial_p: double
B_halstead_partial_p: double
A_lmcc_nodelim_partial_r: double
mean_pass1_B: double
B_halstead_zero_p: double
A_cc_partial_r: double
B_cc_zero_p: double
A_lmcc_noent_zero_p: double
B_lmcc_partial_p: double
A_lmcc_partial_r: double
B_lmcc_zero_p: double
A_halstead_partial_p: double
n: int64
A_lmcc_zero_r: double
B_halstead_partial_r: double
A_cc_zero_r: double
mean_pass1_A: double
A_lmcc_noent_zero_r: double
B_lmcc_zero_r: double
B_cc_partial_r: double
A_lmcc_nodelim_zero_r: double
B_halstead_zero_r: double
A_cc_zero_p: double
k: int64
to
{'config': {'n': Value('int64'), 'stub': Value('bool'), 'smoke': Value('bool'), 'dump_raw': Value('int64'), 'model': Value('null'), 'dtype': Value('string'), 'out': Value('string'), 'seed': Value('int64'), 'upload_repo': Value('string'), 'k': Value('int64'), 'gen_model': Value('string'), 'gen_model_b': Value('string'), 'entropy_model': Value('string'), 'max_new': Value('int64')}, 'n': Value('int64'), 'k': Value('int64'), 'mean_pass1_A': Value('float64'), 'mean_pass1_B': Value('float64'), 'A_lmcc_zero_r': Value('float64'), 'A_lmcc_zero_p': Value('float64'), 'A_lmcc_partial_r': Value('float64'), 'A_lmcc_partial_p': Value('float64'), 'A_cc_zero_r': Value('float64'), 'A_cc_zero_p': Value('float64'), 'A_cc_partial_r': Value('float64'), 'A_cc_partial_p': Value('float64'), 'A_halstead_zero_r': Value('float64'), 'A_halstead_zero_p': Value('float64'), 'A_halstead_partial_r': Value('float64'), 'A_halstead_partial_p': Value('float64'), 'B_lmcc_zero_r': Value('float64'), 'B_lmcc_zero_p': Value('float64'), 'B_lmcc_partial_r': Value('float64'), 'B_lmcc_partial_p': Value('float64'), 'B_cc_zero_r': Value('float64'), 'B_cc_zero_p': Value('float64'), 'B_cc_partial_r': Value('float64'), 'B_cc_partial_p': Value('float64'), 'B_halstead_zero_r': Value('float64'), 'B_halstead_zero_p': Value('float64'), 'B_halstead_partial_r': Value('float64'), 'B_halstead_partial_p': Value('float64'), 'A_lmcc_noent_zero_r': Value('float64'), 'A_lmcc_noent_zero_p': Value('float64'), 'A_lmcc_noent_partial_r': Value('float64'), 'A_lmcc_noent_partial_p': Value('float64'), 'A_lmcc_nodelim_zero_r': Value('float64'), 'A_lmcc_nodelim_zero_p': Value('float64'), 'A_lmcc_nodelim_partial_r': Value('float64'), 'A_lmcc_nodelim_partial_p': Value('float64'), 'parsed': Value('int64')}
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
smoke: bool
parsed: int64
total: int64
parsed_frac: double
metrics: struct<n: double, k: double, mean_pass1_A: double, mean_pass1_B: double, A_lmcc_zero_r: double, A_lm (... 844 chars omitted)
child 0, n: double
child 1, k: double
child 2, mean_pass1_A: double
child 3, mean_pass1_B: double
child 4, A_lmcc_zero_r: double
child 5, A_lmcc_zero_p: double
child 6, A_lmcc_partial_r: double
child 7, A_lmcc_partial_p: double
child 8, A_cc_zero_r: double
child 9, A_cc_zero_p: double
child 10, A_cc_partial_r: double
child 11, A_cc_partial_p: double
child 12, A_halstead_zero_r: double
child 13, A_halstead_zero_p: double
child 14, A_halstead_partial_r: double
child 15, A_halstead_partial_p: double
child 16, B_lmcc_zero_r: double
child 17, B_lmcc_zero_p: double
child 18, B_lmcc_partial_r: double
child 19, B_lmcc_partial_p: double
child 20, B_cc_zero_r: double
child 21, B_cc_zero_p: double
child 22, B_cc_partial_r: double
child 23, B_cc_partial_p: double
child 24, B_halstead_zero_r: double
child 25, B_halstead_zero_p: double
child 26, B_halstead_partial_r: double
child 27, B_halstead_partial_p: double
child 28, A_lmcc_noent_zero_r: double
child 29, A_lmcc_noent_zero_p: double
child 30, A_lmcc_noent_partial_r: double
child 31, A_lmcc_noent_partial_p: double
child 32, A_lmcc_nodelim_zero_r: double
child 33, A_lmcc_nodelim_zero_p: double
child 34, A_lmcc_nodelim_partial_r: double
child 35, A_lmcc_nodelim_partial_p: double
child 36, parsed: double
sec_per_item: double
A_halstead_zero_p: double
B_lmcc_partial_r: double
A_lmcc_noent_partial_r: double
A_lmcc_nodelim_zero_p: double
A_lmcc_partial_p: double
B_cc_partial_p: double
A_lmcc_zero_p: double
config: struct<n: int64, stub: bool, smoke: bool, dump_raw: int64, model: null, dtype: string, out: string, (... 122 chars omitted)
child 0, n: int64
child 1, stub: bool
child 2, smoke: bool
child 3, dump_raw: int64
child 4, model: null
child 5, dtype: string
child 6, out: string
child 7, seed: int64
child 8, upload_repo: string
child 9, k: int64
child 10, gen_model: string
child 11, gen_model_b: string
child 12, entropy_model: string
child 13, max_new: int64
A_halstead_partial_r: double
B_cc_zero_r: double
A_cc_partial_p: double
A_halstead_zero_r: double
A_lmcc_nodelim_partial_p: double
A_lmcc_noent_partial_p: double
B_halstead_partial_p: double
A_lmcc_nodelim_partial_r: double
mean_pass1_B: double
B_halstead_zero_p: double
A_cc_partial_r: double
B_cc_zero_p: double
A_lmcc_noent_zero_p: double
B_lmcc_partial_p: double
A_lmcc_partial_r: double
B_lmcc_zero_p: double
A_halstead_partial_p: double
n: int64
A_lmcc_zero_r: double
B_halstead_partial_r: double
A_cc_zero_r: double
mean_pass1_A: double
A_lmcc_noent_zero_r: double
B_lmcc_zero_r: double
B_cc_partial_r: double
A_lmcc_nodelim_zero_r: double
B_halstead_zero_r: double
A_cc_zero_p: double
k: int64
to
{'config': {'n': Value('int64'), 'stub': Value('bool'), 'smoke': Value('bool'), 'dump_raw': Value('int64'), 'model': Value('null'), 'dtype': Value('string'), 'out': Value('string'), 'seed': Value('int64'), 'upload_repo': Value('string'), 'k': Value('int64'), 'gen_model': Value('string'), 'gen_model_b': Value('string'), 'entropy_model': Value('string'), 'max_new': Value('int64')}, 'n': Value('int64'), 'k': Value('int64'), 'mean_pass1_A': Value('float64'), 'mean_pass1_B': Value('float64'), 'A_lmcc_zero_r': Value('float64'), 'A_lmcc_zero_p': Value('float64'), 'A_lmcc_partial_r': Value('float64'), 'A_lmcc_partial_p': Value('float64'), 'A_cc_zero_r': Value('float64'), 'A_cc_zero_p': Value('float64'), 'A_cc_partial_r': Value('float64'), 'A_cc_partial_p': Value('float64'), 'A_halstead_zero_r': Value('float64'), 'A_halstead_zero_p': Value('float64'), 'A_halstead_partial_r': Value('float64'), 'A_halstead_partial_p': Value('float64'), 'B_lmcc_zero_r': Value('float64'), 'B_lmcc_zero_p': Value('float64'), 'B_lmcc_partial_r': Value('float64'), 'B_lmcc_partial_p': Value('float64'), 'B_cc_zero_r': Value('float64'), 'B_cc_zero_p': Value('float64'), 'B_cc_partial_r': Value('float64'), 'B_cc_partial_p': Value('float64'), 'B_halstead_zero_r': Value('float64'), 'B_halstead_zero_p': Value('float64'), 'B_halstead_partial_r': Value('float64'), 'B_halstead_partial_p': Value('float64'), 'A_lmcc_noent_zero_r': Value('float64'), 'A_lmcc_noent_zero_p': Value('float64'), 'A_lmcc_noent_partial_r': Value('float64'), 'A_lmcc_noent_partial_p': Value('float64'), 'A_lmcc_nodelim_zero_r': Value('float64'), 'A_lmcc_nodelim_zero_p': Value('float64'), 'A_lmcc_nodelim_partial_r': Value('float64'), 'A_lmcc_nodelim_partial_p': Value('float64'), 'parsed': Value('int64')}
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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