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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
token_lengths: struct<P: int64, not_P: int64, not_not_P: int64, ctrl_len_plus1: int64, ctrl_len_plus2: int64>
child 0, P: int64
child 1, not_P: int64
child 2, not_not_P: int64
child 3, ctrl_len_plus1: int64
child 4, ctrl_len_plus2: int64
ltvt_not_not_P: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
ltvt_controls: struct<ctrl_len_plus1: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: d (... 222 chars omitted)
child 0, ctrl_len_plus1: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
child 1, ctrl_len_plus2: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
head: int64
layer: int64
avg_cis: double
to
{'layer': Value('int64'), 'head': Value('int64'), 'avg_cis': 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
token_lengths: struct<P: int64, not_P: int64, not_not_P: int64, ctrl_len_plus1: int64, ctrl_len_plus2: int64>
child 0, P: int64
child 1, not_P: int64
child 2, not_not_P: int64
child 3, ctrl_len_plus1: int64
child 4, ctrl_len_plus2: int64
ltvt_not_not_P: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
ltvt_controls: struct<ctrl_len_plus1: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: d (... 222 chars omitted)
child 0, ctrl_len_plus1: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
child 1, ctrl_len_plus2: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
head: int64
layer: int64
avg_cis: double
to
{'layer': Value('int64'), 'head': Value('int64'), 'avg_cis': 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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