Datasets:

---

aberts

/

wan-feature-cache-512x256

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
split: string
source_json: string
source_mtime: int64
source_size: int64
num_items: int64
width: int64
height: int64
task: string
model_id: string
cache_dtype: string
cache_shard_size: int64
cache_t5_device: string
cache_vae_device: string
cache_format: string
cache_storage: string
shards: list<item: struct<file: string, count: int64, start_idx: int64, end_idx: int64>>
  child 0, item: struct<file: string, count: int64, start_idx: int64, end_idx: int64>
      child 0, file: string
      child 1, count: int64
      child 2, start_idx: int64
      child 3, end_idx: int64
num_shards: int64
start_idx: int64
end_idx: int64
rank: int64
to
{'rank': Value('int64'), 'start_idx': Value('int64'), 'end_idx': Value('int64'), 'num_items': Value('int64'), 'shards': List({'file': Value('string'), 'count': Value('int64'), 'start_idx': Value('int64'), 'end_idx': 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              split: string
              source_json: string
              source_mtime: int64
              source_size: int64
              num_items: int64
              width: int64
              height: int64
              task: string
              model_id: string
              cache_dtype: string
              cache_shard_size: int64
              cache_t5_device: string
              cache_vae_device: string
              cache_format: string
              cache_storage: string
              shards: list<item: struct<file: string, count: int64, start_idx: int64, end_idx: int64>>
                child 0, item: struct<file: string, count: int64, start_idx: int64, end_idx: int64>
                    child 0, file: string
                    child 1, count: int64
                    child 2, start_idx: int64
                    child 3, end_idx: int64
              num_shards: int64
              start_idx: int64
              end_idx: int64
              rank: int64
              to
              {'rank': Value('int64'), 'start_idx': Value('int64'), 'end_idx': Value('int64'), 'num_items': Value('int64'), 'shards': List({'file': Value('string'), 'count': Value('int64'), 'start_idx': Value('int64'), 'end_idx': Value('int64')})}
              because column names don't match