Datasets:

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cryptorugmuncher

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rmi-rag-permanence

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Rug Munch Media LLC 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
collection: string
version: string
timestamp: string
count: int64
items: list<item: struct<id: string, collection: string, vector: list<item: double>, dims: int64, model: st (... 92 chars omitted)
  child 0, item: struct<id: string, collection: string, vector: list<item: double>, dims: int64, model: string, metad (... 80 chars omitted)
      child 0, id: string
      child 1, collection: string
      child 2, vector: list<item: double>
          child 0, item: double
      child 3, dims: int64
      child 4, model: string
      child 5, metadata: struct<category: string, head: string>
          child 0, category: string
          child 1, head: string
      child 6, content: string
      child 7, stored_at: string
latest_snapshot: string
to
{'collection': Value('string'), 'latest_snapshot': Value('string'), 'timestamp': Value('string'), 'count': Value('int64'), 'version': Value('string')}
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
              collection: string
              version: string
              timestamp: string
              count: int64
              items: list<item: struct<id: string, collection: string, vector: list<item: double>, dims: int64, model: st (... 92 chars omitted)
                child 0, item: struct<id: string, collection: string, vector: list<item: double>, dims: int64, model: string, metad (... 80 chars omitted)
                    child 0, id: string
                    child 1, collection: string
                    child 2, vector: list<item: double>
                        child 0, item: double
                    child 3, dims: int64
                    child 4, model: string
                    child 5, metadata: struct<category: string, head: string>
                        child 0, category: string
                        child 1, head: string
                    child 6, content: string
                    child 7, stored_at: string
              latest_snapshot: string
              to
              {'collection': Value('string'), 'latest_snapshot': Value('string'), 'timestamp': Value('string'), 'count': Value('int64'), 'version': Value('string')}
              because column names don't match