Datasets:

---

anu151105

/

AMAZONMLNORMALIZED

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
index_settings: struct<docstore_compression: string, docstore_blocksize: int64>
  child 0, docstore_compression: string
  child 1, docstore_blocksize: int64
segments: list<item: struct<segment_id: string, max_doc: int64, deletes: null>>
  child 0, item: struct<segment_id: string, max_doc: int64, deletes: null>
      child 0, segment_id: string
      child 1, max_doc: int64
      child 2, deletes: null
schema: list<item: struct<name: string, type: string, options: struct<indexing: struct<record: string, field (... 93 chars omitted)
  child 0, item: struct<name: string, type: string, options: struct<indexing: struct<record: string, fieldnorms: bool (... 81 chars omitted)
      child 0, name: string
      child 1, type: string
      child 2, options: struct<indexing: struct<record: string, fieldnorms: bool, tokenizer: string>, stored: bool, fast: bo (... 36 chars omitted)
          child 0, indexing: struct<record: string, fieldnorms: bool, tokenizer: string>
              child 0, record: string
              child 1, fieldnorms: bool
              child 2, tokenizer: string
          child 1, stored: bool
          child 2, fast: bool
          child 3, indexed: bool
          child 4, fieldnorms: bool
opstamp: int64
country: string
documents: int64
source: int64
to
{'country': Value('string'), 'source': Value('int64'), 'documents': 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              index_settings: struct<docstore_compression: string, docstore_blocksize: int64>
                child 0, docstore_compression: string
                child 1, docstore_blocksize: int64
              segments: list<item: struct<segment_id: string, max_doc: int64, deletes: null>>
                child 0, item: struct<segment_id: string, max_doc: int64, deletes: null>
                    child 0, segment_id: string
                    child 1, max_doc: int64
                    child 2, deletes: null
              schema: list<item: struct<name: string, type: string, options: struct<indexing: struct<record: string, field (... 93 chars omitted)
                child 0, item: struct<name: string, type: string, options: struct<indexing: struct<record: string, fieldnorms: bool (... 81 chars omitted)
                    child 0, name: string
                    child 1, type: string
                    child 2, options: struct<indexing: struct<record: string, fieldnorms: bool, tokenizer: string>, stored: bool, fast: bo (... 36 chars omitted)
                        child 0, indexing: struct<record: string, fieldnorms: bool, tokenizer: string>
                            child 0, record: string
                            child 1, fieldnorms: bool
                            child 2, tokenizer: string
                        child 1, stored: bool
                        child 2, fast: bool
                        child 3, indexed: bool
                        child 4, fieldnorms: bool
              opstamp: int64
              country: string
              documents: int64
              source: int64
              to
              {'country': Value('string'), 'source': Value('int64'), 'documents': Value('int64')}
              because column names don't match