Datasets:

---

CREATORJD

/

alpecca-runtime-assets

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
image: string
fallbackImage: string
frameSize: int64
columns: int64
frames: list<item: struct<index: int64, x: int64, y: int64, w: int64, h: int64, label: string, source: strin (... 72 chars omitted)
  child 0, item: struct<index: int64, x: int64, y: int64, w: int64, h: int64, label: string, source: string, row: int (... 60 chars omitted)
      child 0, index: int64
      child 1, x: int64
      child 2, y: int64
      child 3, w: int64
      child 4, h: int64
      child 5, label: string
      child 6, source: string
      child 7, row: int64
      child 8, col: int64
      child 9, talking: bool
      child 10, listening: bool
      child 11, blink: bool
talkCycle: list<item: int64>
  child 0, item: int64
listenCycle: list<item: int64>
  child 0, item: int64
blinkCycle: list<item: int64>
  child 0, item: int64
sourceApprovalSchema: string
dataset: string
setId: string
sourceApprovalCatalog: string
assets: list<item: struct<kind: string, approvalId: string, filename: string, runtimePath: string, sha256: s (... 44 chars omitted)
  child 0, item: struct<kind: string, approvalId: string, filename: string, runtimePath: string, sha256: string, byte (... 32 chars omitted)
      child 0, kind: string
      child 1, approvalId: string
      child 2, filename: string
      child 3, runtimePath: string
      child 4, sha256: string
      child 5, byteLength: int64
      child 6, mimeType: string
assetCount: int64
schema: string
revision: string
basePath: string
maxAssetBytes: int64
to
{'schema': Value('string'), 'setId': Value('string'), 'dataset': Value('string'), 'revision': Value('string'), 'basePath': Value('string'), 'assetCount': Value('int64'), 'maxAssetBytes': Value('int64'), 'sourceApprovalCatalog': Value('string'), 'sourceApprovalSchema': Value('string'), 'assets': List({'kind': Value('string'), 'approvalId': Value('string'), 'filename': Value('string'), 'runtimePath': Value('string'), 'sha256': Value('string'), 'byteLength': Value('int64'), 'mimeType': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              image: string
              fallbackImage: string
              frameSize: int64
              columns: int64
              frames: list<item: struct<index: int64, x: int64, y: int64, w: int64, h: int64, label: string, source: strin (... 72 chars omitted)
                child 0, item: struct<index: int64, x: int64, y: int64, w: int64, h: int64, label: string, source: string, row: int (... 60 chars omitted)
                    child 0, index: int64
                    child 1, x: int64
                    child 2, y: int64
                    child 3, w: int64
                    child 4, h: int64
                    child 5, label: string
                    child 6, source: string
                    child 7, row: int64
                    child 8, col: int64
                    child 9, talking: bool
                    child 10, listening: bool
                    child 11, blink: bool
              talkCycle: list<item: int64>
                child 0, item: int64
              listenCycle: list<item: int64>
                child 0, item: int64
              blinkCycle: list<item: int64>
                child 0, item: int64
              sourceApprovalSchema: string
              dataset: string
              setId: string
              sourceApprovalCatalog: string
              assets: list<item: struct<kind: string, approvalId: string, filename: string, runtimePath: string, sha256: s (... 44 chars omitted)
                child 0, item: struct<kind: string, approvalId: string, filename: string, runtimePath: string, sha256: string, byte (... 32 chars omitted)
                    child 0, kind: string
                    child 1, approvalId: string
                    child 2, filename: string
                    child 3, runtimePath: string
                    child 4, sha256: string
                    child 5, byteLength: int64
                    child 6, mimeType: string
              assetCount: int64
              schema: string
              revision: string
              basePath: string
              maxAssetBytes: int64
              to
              {'schema': Value('string'), 'setId': Value('string'), 'dataset': Value('string'), 'revision': Value('string'), 'basePath': Value('string'), 'assetCount': Value('int64'), 'maxAssetBytes': Value('int64'), 'sourceApprovalCatalog': Value('string'), 'sourceApprovalSchema': Value('string'), 'assets': List({'kind': Value('string'), 'approvalId': Value('string'), 'filename': Value('string'), 'runtimePath': Value('string'), 'sha256': Value('string'), 'byteLength': Value('int64'), 'mimeType': Value('string')})}
              because column names don't match