Datasets:

---

smalleyes

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Radio

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
instruction: string
input: string
context: string
output: string
tags: list<item: string>
  child 0, item: string
source: string
confidence: double
record_count: int64
seed: int64
output_jsonl: string
sources: struct<amateur_csv: struct<path: string, sampled: int64, records_per_sample: int64>, rf_log_csv: str (... 222 chars omitted)
  child 0, amateur_csv: struct<path: string, sampled: int64, records_per_sample: int64>
      child 0, path: string
      child 1, sampled: int64
      child 2, records_per_sample: int64
  child 1, rf_log_csv: struct<path: string, sampled: int64, records_per_sample: int64>
      child 0, path: string
      child 1, sampled: int64
      child 2, records_per_sample: int64
  child 2, jamming_root: struct<path: string, benign_sampled: int64, malicious_sampled: int64, records_per_sample: int64>
      child 0, path: string
      child 1, benign_sampled: int64
      child 2, malicious_sampled: int64
      child 3, records_per_sample: int64
  child 3, theory_expansions: struct<topic_records: int64>
      child 0, topic_records: int64
to
{'seed': Value('int64'), 'record_count': Value('int64'), 'output_jsonl': Value('string'), 'sources': {'amateur_csv': {'path': Value('string'), 'sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'rf_log_csv': {'path': Value('string'), 'sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'jamming_root': {'path': Value('string'), 'benign_sampled': Value('int64'), 'malicious_sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'theory_expansions': {'topic_records': 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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 265, 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 120, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              instruction: string
              input: string
              context: string
              output: string
              tags: list<item: string>
                child 0, item: string
              source: string
              confidence: double
              record_count: int64
              seed: int64
              output_jsonl: string
              sources: struct<amateur_csv: struct<path: string, sampled: int64, records_per_sample: int64>, rf_log_csv: str (... 222 chars omitted)
                child 0, amateur_csv: struct<path: string, sampled: int64, records_per_sample: int64>
                    child 0, path: string
                    child 1, sampled: int64
                    child 2, records_per_sample: int64
                child 1, rf_log_csv: struct<path: string, sampled: int64, records_per_sample: int64>
                    child 0, path: string
                    child 1, sampled: int64
                    child 2, records_per_sample: int64
                child 2, jamming_root: struct<path: string, benign_sampled: int64, malicious_sampled: int64, records_per_sample: int64>
                    child 0, path: string
                    child 1, benign_sampled: int64
                    child 2, malicious_sampled: int64
                    child 3, records_per_sample: int64
                child 3, theory_expansions: struct<topic_records: int64>
                    child 0, topic_records: int64
              to
              {'seed': Value('int64'), 'record_count': Value('int64'), 'output_jsonl': Value('string'), 'sources': {'amateur_csv': {'path': Value('string'), 'sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'rf_log_csv': {'path': Value('string'), 'sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'jamming_root': {'path': Value('string'), 'benign_sampled': Value('int64'), 'malicious_sampled': Value('int64'), 'records_per_sample': Value('int64')}, 'theory_expansions': {'topic_records': Value('int64')}}}
              because column names don't match