Datasets:

---

Oooer8

/

latent_cache

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
cache_format: string
cache_version: int64
clean_latent_shape: list<item: int64>
  child 0, item: int64
condition_latent_shape: list<item: int64>
  child 0, item: int64
latent_dtype: string
sample_count: int64
sample_start: int64
shard_index: int64
version: int64
randomized_limit_per_task: null
action_chunk_size: int64
data_mode: string
task_mode: string
video_size: list<item: int64>
  child 0, item: int64
shard_size: int64
created_at_unix: double
global_downsample_rate: int64
reuse_condition_latent_from_clean: bool
vae_path: string
max_episodes: null
pixel_normalization: string
dataset_root: string
video_action_freq_ratio: int64
num_video_frames: int64
task_name: null
to
{'action_chunk_size': Value('int64'), 'cache_format': Value('string'), 'created_at_unix': Value('float64'), 'data_mode': Value('string'), 'dataset_root': Value('string'), 'global_downsample_rate': Value('int64'), 'max_episodes': Value('null'), 'num_video_frames': Value('int64'), 'pixel_normalization': Value('string'), 'randomized_limit_per_task': Value('null'), 'reuse_condition_latent_from_clean': Value('bool'), 'sample_count': Value('int64'), 'shard_size': Value('int64'), 'task_mode': Value('string'), 'task_name': Value('null'), 'vae_path': Value('string'), 'version': Value('int64'), 'video_action_freq_ratio': Value('int64'), 'video_size': List(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
              cache_format: string
              cache_version: int64
              clean_latent_shape: list<item: int64>
                child 0, item: int64
              condition_latent_shape: list<item: int64>
                child 0, item: int64
              latent_dtype: string
              sample_count: int64
              sample_start: int64
              shard_index: int64
              version: int64
              randomized_limit_per_task: null
              action_chunk_size: int64
              data_mode: string
              task_mode: string
              video_size: list<item: int64>
                child 0, item: int64
              shard_size: int64
              created_at_unix: double
              global_downsample_rate: int64
              reuse_condition_latent_from_clean: bool
              vae_path: string
              max_episodes: null
              pixel_normalization: string
              dataset_root: string
              video_action_freq_ratio: int64
              num_video_frames: int64
              task_name: null
              to
              {'action_chunk_size': Value('int64'), 'cache_format': Value('string'), 'created_at_unix': Value('float64'), 'data_mode': Value('string'), 'dataset_root': Value('string'), 'global_downsample_rate': Value('int64'), 'max_episodes': Value('null'), 'num_video_frames': Value('int64'), 'pixel_normalization': Value('string'), 'randomized_limit_per_task': Value('null'), 'reuse_condition_latent_from_clean': Value('bool'), 'sample_count': Value('int64'), 'shard_size': Value('int64'), 'task_mode': Value('string'), 'task_name': Value('null'), 'vae_path': Value('string'), 'version': Value('int64'), 'video_action_freq_ratio': Value('int64'), 'video_size': List(Value('int64'))}
              because column names don't match