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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
categories_hash: string
ce_calibration: struct<ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s], ce_13e160c8f73344e1864500b97dd4eddf: times (... 1844 chars omitted)
child 0, ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s]
child 1, ce_13e160c8f73344e1864500b97dd4eddf: timestamp[s]
child 2, ce_16ccda7ddab34c119420588e6f06ceb2: timestamp[s]
child 3, ce_1b35b454bef945bfade4a983b59ed809: timestamp[s]
child 4, ce_1b87f1a22b5145e0b9d636465b421775: timestamp[s]
child 5, ce_1cfb27c228e04164a6ac7d676daee8c3: timestamp[s]
child 6, ce_20486065e806406e8763dff3a01b65d1: timestamp[s]
child 7, ce_261b3760ed5d45e499630344380aec33: timestamp[s]
child 8, ce_296c717c7f72407a87a8ba4609390168: timestamp[s]
child 9, ce_2d405a11d0b040608dfa5629d780a565: timestamp[s]
child 10, ce_322ab8ca1abc4a7ea652b3088bb571ab: timestamp[s]
child 11, ce_3c89bf16c3564998b1110f25c86c5b7b: timestamp[s]
child 12, ce_4108d58be34f4e168fb66b9297e97519: timestamp[s]
child 13, ce_536ff678b65e4b149c36cc0f8d8ee7c6: timestamp[s]
child 14, ce_5cb43159c5bd4c959054051fc9deb3be: timestamp[s]
child 15, ce_6d26979dc730433d9d64dabe8812fae4: timestamp[s]
child 16, ce_6f9476b058e54d7f88719913fa3a64d2: timestamp[s]
child 17, ce_792437353d7944c99f6fa40fa4cfdbc2: timestamp[s]
child 18, ce_8606e38135c04137a2941a170abf264a: timestamp[s]
child 19, ce_8c6e0cf6cf574f72a46268faeb9a7348: timestamp[s]
child 20, ce_8f10b4cc181a4373b779cc56c228da81: timestamp[s]
child 21, ce_937eab58f8634d819e71c21cf4a
...
ring
rule_sets: struct<ruleset_b34e5bd076d34ccfbf840f279e51a8cd: timestamp[s]>
child 0, ruleset_b34e5bd076d34ccfbf840f279e51a8cd: timestamp[s]
rules: struct<rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s], rule_0eadc30cb9594dfe8505820365db639c: t (... 754 chars omitted)
child 0, rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s]
child 1, rule_0eadc30cb9594dfe8505820365db639c: timestamp[s]
child 2, rule_15a483c7f15b4846b5227d0c48a26b6e: timestamp[s]
child 3, rule_1e1d18f5189e4424b210161f4871dd1b: timestamp[s]
child 4, rule_21a20458f6d340f1ba8232217d540aa2: timestamp[s]
child 5, rule_22f2bf372fc94beb8e63d4f0a5278410: timestamp[s]
child 6, rule_2843ed1a7cda4d9a99bbc994eae0ce10: timestamp[s]
child 7, rule_30502a1cc06049f590c05cee639ebf03: timestamp[s]
child 8, rule_366dae57d7e1422aa8335c3782ead96a: timestamp[s]
child 9, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
child 10, rule_5c2b158405a547f4bc22c857e510807c: timestamp[s]
child 11, rule_7eb1146cb22d488e9df87e56fb55092e: timestamp[s]
child 12, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
child 13, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
child 14, rule_e088386fac804758ae4b439b6b58836d: timestamp[s]
child 15, rule_e291a52cfb594dc9bffec74c68ec309c: timestamp[s]
schema_version: int64
categories: list<item: struct<description: string, name: string>>
child 0, item: struct<description: string, name: string>
child 0, description: string
child 1, name: string
to
{'categories': List({'description': Value('string'), 'name': Value('string')}), 'schema_version': Value('int64')}
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 478, 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
categories_hash: string
ce_calibration: struct<ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s], ce_13e160c8f73344e1864500b97dd4eddf: times (... 1844 chars omitted)
child 0, ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s]
child 1, ce_13e160c8f73344e1864500b97dd4eddf: timestamp[s]
child 2, ce_16ccda7ddab34c119420588e6f06ceb2: timestamp[s]
child 3, ce_1b35b454bef945bfade4a983b59ed809: timestamp[s]
child 4, ce_1b87f1a22b5145e0b9d636465b421775: timestamp[s]
child 5, ce_1cfb27c228e04164a6ac7d676daee8c3: timestamp[s]
child 6, ce_20486065e806406e8763dff3a01b65d1: timestamp[s]
child 7, ce_261b3760ed5d45e499630344380aec33: timestamp[s]
child 8, ce_296c717c7f72407a87a8ba4609390168: timestamp[s]
child 9, ce_2d405a11d0b040608dfa5629d780a565: timestamp[s]
child 10, ce_322ab8ca1abc4a7ea652b3088bb571ab: timestamp[s]
child 11, ce_3c89bf16c3564998b1110f25c86c5b7b: timestamp[s]
child 12, ce_4108d58be34f4e168fb66b9297e97519: timestamp[s]
child 13, ce_536ff678b65e4b149c36cc0f8d8ee7c6: timestamp[s]
child 14, ce_5cb43159c5bd4c959054051fc9deb3be: timestamp[s]
child 15, ce_6d26979dc730433d9d64dabe8812fae4: timestamp[s]
child 16, ce_6f9476b058e54d7f88719913fa3a64d2: timestamp[s]
child 17, ce_792437353d7944c99f6fa40fa4cfdbc2: timestamp[s]
child 18, ce_8606e38135c04137a2941a170abf264a: timestamp[s]
child 19, ce_8c6e0cf6cf574f72a46268faeb9a7348: timestamp[s]
child 20, ce_8f10b4cc181a4373b779cc56c228da81: timestamp[s]
child 21, ce_937eab58f8634d819e71c21cf4a
...
ring
rule_sets: struct<ruleset_b34e5bd076d34ccfbf840f279e51a8cd: timestamp[s]>
child 0, ruleset_b34e5bd076d34ccfbf840f279e51a8cd: timestamp[s]
rules: struct<rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s], rule_0eadc30cb9594dfe8505820365db639c: t (... 754 chars omitted)
child 0, rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s]
child 1, rule_0eadc30cb9594dfe8505820365db639c: timestamp[s]
child 2, rule_15a483c7f15b4846b5227d0c48a26b6e: timestamp[s]
child 3, rule_1e1d18f5189e4424b210161f4871dd1b: timestamp[s]
child 4, rule_21a20458f6d340f1ba8232217d540aa2: timestamp[s]
child 5, rule_22f2bf372fc94beb8e63d4f0a5278410: timestamp[s]
child 6, rule_2843ed1a7cda4d9a99bbc994eae0ce10: timestamp[s]
child 7, rule_30502a1cc06049f590c05cee639ebf03: timestamp[s]
child 8, rule_366dae57d7e1422aa8335c3782ead96a: timestamp[s]
child 9, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
child 10, rule_5c2b158405a547f4bc22c857e510807c: timestamp[s]
child 11, rule_7eb1146cb22d488e9df87e56fb55092e: timestamp[s]
child 12, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
child 13, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
child 14, rule_e088386fac804758ae4b439b6b58836d: timestamp[s]
child 15, rule_e291a52cfb594dc9bffec74c68ec309c: timestamp[s]
schema_version: int64
categories: list<item: struct<description: string, name: string>>
child 0, item: struct<description: string, name: string>
child 0, description: string
child 1, name: string
to
{'categories': List({'description': Value('string'), 'name': Value('string')}), 'schema_version': 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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