Datasets:

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
categories_hash: string
ce_calibration: struct<ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s], ce_13e160c8f73344e1864500b97dd4eddf: times (... 1334 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_20486065e806406e8763dff3a01b65d1: timestamp[s]
  child 6, ce_261b3760ed5d45e499630344380aec33: timestamp[s]
  child 7, ce_296c717c7f72407a87a8ba4609390168: timestamp[s]
  child 8, ce_2d405a11d0b040608dfa5629d780a565: timestamp[s]
  child 9, ce_322ab8ca1abc4a7ea652b3088bb571ab: timestamp[s]
  child 10, ce_3c89bf16c3564998b1110f25c86c5b7b: timestamp[s]
  child 11, ce_5cb43159c5bd4c959054051fc9deb3be: timestamp[s]
  child 12, ce_6f9476b058e54d7f88719913fa3a64d2: timestamp[s]
  child 13, ce_792437353d7944c99f6fa40fa4cfdbc2: timestamp[s]
  child 14, ce_8606e38135c04137a2941a170abf264a: timestamp[s]
  child 15, ce_8c6e0cf6cf574f72a46268faeb9a7348: timestamp[s]
  child 16, ce_8f10b4cc181a4373b779cc56c228da81: timestamp[s]
  child 17, ce_993a426f31a04ecda4611ef3c13bc348: timestamp[s]
  child 18, ce_9b1881deab9d465ba3d510d5d5ac845f: timestamp[s]
  child 19, ce_a74d13e56efc4fc8929d6bc3aeb0952b: timestamp[s]
  child 20, ce_b061b3c73e754adf9b6313102a8f25b9: timestamp[s]
  child 21, ce_b0b98ffe31d34256a929d1cfd43
...
ead96a: timestamp[s]
  child 7, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
  child 8, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
  child 9, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
  child 10, rule_e088386fac804758ae4b439b6b58836d: timestamp[s]
rule_names: struct<current_events_misinformation: string, medical_dosage_prescription: string>
  child 0, current_events_misinformation: string
  child 1, medical_dosage_prescription: string
rules: struct<rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s], rule_15a483c7f15b4846b5227d0c48a26b6e: t (... 489 chars omitted)
  child 0, rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s]
  child 1, rule_15a483c7f15b4846b5227d0c48a26b6e: timestamp[s]
  child 2, rule_21a20458f6d340f1ba8232217d540aa2: timestamp[s]
  child 3, rule_22f2bf372fc94beb8e63d4f0a5278410: timestamp[s]
  child 4, rule_2843ed1a7cda4d9a99bbc994eae0ce10: timestamp[s]
  child 5, rule_30502a1cc06049f590c05cee639ebf03: timestamp[s]
  child 6, rule_366dae57d7e1422aa8335c3782ead96a: timestamp[s]
  child 7, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
  child 8, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
  child 9, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
  child 10, rule_e088386fac804758ae4b439b6b58836d: 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 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              categories_hash: string
              ce_calibration: struct<ce_0b4ff21ab8d24afca18244d737e54bc1: timestamp[s], ce_13e160c8f73344e1864500b97dd4eddf: times (... 1334 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_20486065e806406e8763dff3a01b65d1: timestamp[s]
                child 6, ce_261b3760ed5d45e499630344380aec33: timestamp[s]
                child 7, ce_296c717c7f72407a87a8ba4609390168: timestamp[s]
                child 8, ce_2d405a11d0b040608dfa5629d780a565: timestamp[s]
                child 9, ce_322ab8ca1abc4a7ea652b3088bb571ab: timestamp[s]
                child 10, ce_3c89bf16c3564998b1110f25c86c5b7b: timestamp[s]
                child 11, ce_5cb43159c5bd4c959054051fc9deb3be: timestamp[s]
                child 12, ce_6f9476b058e54d7f88719913fa3a64d2: timestamp[s]
                child 13, ce_792437353d7944c99f6fa40fa4cfdbc2: timestamp[s]
                child 14, ce_8606e38135c04137a2941a170abf264a: timestamp[s]
                child 15, ce_8c6e0cf6cf574f72a46268faeb9a7348: timestamp[s]
                child 16, ce_8f10b4cc181a4373b779cc56c228da81: timestamp[s]
                child 17, ce_993a426f31a04ecda4611ef3c13bc348: timestamp[s]
                child 18, ce_9b1881deab9d465ba3d510d5d5ac845f: timestamp[s]
                child 19, ce_a74d13e56efc4fc8929d6bc3aeb0952b: timestamp[s]
                child 20, ce_b061b3c73e754adf9b6313102a8f25b9: timestamp[s]
                child 21, ce_b0b98ffe31d34256a929d1cfd43
              ...
              ead96a: timestamp[s]
                child 7, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
                child 8, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
                child 9, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
                child 10, rule_e088386fac804758ae4b439b6b58836d: timestamp[s]
              rule_names: struct<current_events_misinformation: string, medical_dosage_prescription: string>
                child 0, current_events_misinformation: string
                child 1, medical_dosage_prescription: string
              rules: struct<rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s], rule_15a483c7f15b4846b5227d0c48a26b6e: t (... 489 chars omitted)
                child 0, rule_0907b0555fcd4754ad98fa865add8e03: timestamp[s]
                child 1, rule_15a483c7f15b4846b5227d0c48a26b6e: timestamp[s]
                child 2, rule_21a20458f6d340f1ba8232217d540aa2: timestamp[s]
                child 3, rule_22f2bf372fc94beb8e63d4f0a5278410: timestamp[s]
                child 4, rule_2843ed1a7cda4d9a99bbc994eae0ce10: timestamp[s]
                child 5, rule_30502a1cc06049f590c05cee639ebf03: timestamp[s]
                child 6, rule_366dae57d7e1422aa8335c3782ead96a: timestamp[s]
                child 7, rule_553fa2a66bff46da8770ebc71a46739b: timestamp[s]
                child 8, rule_89e91a778d6e4072924c139e2a9565e7: timestamp[s]
                child 9, rule_d26ecbb3ef894cfda28c58577dbf6035: timestamp[s]
                child 10, rule_e088386fac804758ae4b439b6b58836d: 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