Datasets:

---

wjixiang

/

catalog-lava-ref-ukb-eur

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
repo: string
version: string
kind: string
metadata: struct<description: string, genome_build: string, ld_window: string, population: string, release_tag (... 70 chars omitted)
  child 0, description: string
  child 1, genome_build: string
  child 2, ld_window: string
  child 3, population: string
  child 4, release_tag: string
  child 5, sample_size: string
  child 6, source: string
  child 7, storage_format: string
files: list<item: struct<path: string, size: int64, sha256: string>>
  child 0, item: struct<path: string, size: int64, sha256: string>
      child 0, path: string
      child 1, size: int64
      child 2, sha256: string
payload: struct<>
digest: string
generation: int64
repositories: list<item: null>
  child 0, item: null
entries: list<item: struct<repo: string, version: string, kind: string, digest: string, current: bool, create (... 23 chars omitted)
  child 0, item: struct<repo: string, version: string, kind: string, digest: string, current: bool, created_unix_seco (... 11 chars omitted)
      child 0, repo: string
      child 1, version: string
      child 2, kind: string
      child 3, digest: string
      child 4, current: bool
      child 5, created_unix_seconds: int64
to
{'schema_version': Value('int64'), 'generation': Value('int64'), 'repositories': List(Value('null')), 'entries': List({'repo': Value('string'), 'version': Value('string'), 'kind': Value('string'), 'digest': Value('string'), 'current': Value('bool'), 'created_unix_seconds': 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
              schema_version: int64
              repo: string
              version: string
              kind: string
              metadata: struct<description: string, genome_build: string, ld_window: string, population: string, release_tag (... 70 chars omitted)
                child 0, description: string
                child 1, genome_build: string
                child 2, ld_window: string
                child 3, population: string
                child 4, release_tag: string
                child 5, sample_size: string
                child 6, source: string
                child 7, storage_format: string
              files: list<item: struct<path: string, size: int64, sha256: string>>
                child 0, item: struct<path: string, size: int64, sha256: string>
                    child 0, path: string
                    child 1, size: int64
                    child 2, sha256: string
              payload: struct<>
              digest: string
              generation: int64
              repositories: list<item: null>
                child 0, item: null
              entries: list<item: struct<repo: string, version: string, kind: string, digest: string, current: bool, create (... 23 chars omitted)
                child 0, item: struct<repo: string, version: string, kind: string, digest: string, current: bool, created_unix_seco (... 11 chars omitted)
                    child 0, repo: string
                    child 1, version: string
                    child 2, kind: string
                    child 3, digest: string
                    child 4, current: bool
                    child 5, created_unix_seconds: int64
              to
              {'schema_version': Value('int64'), 'generation': Value('int64'), 'repositories': List(Value('null')), 'entries': List({'repo': Value('string'), 'version': Value('string'), 'kind': Value('string'), 'digest': Value('string'), 'current': Value('bool'), 'created_unix_seconds': Value('int64')})}
              because column names don't match