Datasets:

---

Oooer8

/

robotwin_ms_half_packed

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
created_at_unix: double
data: struct<action_chunk_size: int64, action_normalization: struct<enabled: bool, stats_file: string, typ (... 130 chars omitted)
  child 0, action_chunk_size: int64
  child 1, action_normalization: struct<enabled: bool, stats_file: string, type: string>
      child 0, enabled: bool
      child 1, stats_file: string
      child 2, type: string
  child 2, global_downsample_rate: int64
  child 3, num_video_frames: int64
  child 4, video_action_freq_ratio: int64
  child 5, video_size: list<item: int64>
      child 0, item: int64
dataset_fingerprint: string
episode_count: int64
format: string
language: struct<dtype: string, policy: string, storage: string>
  child 0, dtype: string
  child 1, policy: string
  child 2, storage: string
latent: struct<future_video_size: list<item: int64>, precision: string, reuse_condition_latent_from_clean: b (... 4 chars omitted)
  child 0, future_video_size: list<item: int64>
      child 0, item: int64
  child 1, precision: string
  child 2, reuse_condition_latent_from_clean: bool
manifest_sha256: string
runtime_validation: struct<default: bool, notes: string>
  child 0, default: bool
  child 1, notes: string
sample_count: int64
sample_layout: string
sampling: struct<mode: string, samples_per_episode: int64, seed: int64>
  child 0, mode: string
  child 1, samples_per_episode: int64
  child 2, seed: int64
shard_count: int64
shard_size: int64
statistics: struct<effective_frame_count: struct<max: int64, mean: double, min: int
...
string
  child 4, sample_count: int64
  child 5, sample_count_per_episode: struct<max: int64, mean: double, min: int64>
      child 0, max: int64
      child 1, mean: double
      child 2, min: int64
  child 6, task_count: int64
storage: struct<shard_dir: string, shard_size: int64>
  child 0, shard_dir: string
  child 1, shard_size: int64
training_dataset: struct<language_policy: string, max_open_shards: int64, sampling: struct<mode: string, samples_per_e (... 66 chars omitted)
  child 0, language_policy: string
  child 1, max_open_shards: int64
  child 2, sampling: struct<mode: string, samples_per_episode: int64, seed: int64>
      child 0, mode: string
      child 1, samples_per_episode: int64
      child 2, seed: int64
  child 3, type: string
  child 4, validate_runtime: bool
version: int64
written_bytes: int64
robotwin_qpos: struct<error_count: int64, file_count: int64, max: list<item: double>, mean: list<item: double>, min (... 179 chars omitted)
  child 0, error_count: int64
  child 1, file_count: int64
  child 2, max: list<item: double>
      child 0, item: double
  child 3, mean: list<item: double>
      child 0, item: double
  child 4, min: list<item: double>
      child 0, item: double
  child 5, num_workers: int64
  child 6, processing_time_seconds: double
  child 7, qpos_dim: int64
  child 8, splits: list<item: string>
      child 0, item: string
  child 9, std: list<item: double>
      child 0, item: double
  child 10, total_frames: int64
  child 11, type: string
to
{'robotwin_qpos': {'error_count': Value('int64'), 'file_count': Value('int64'), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'min': List(Value('float64')), 'num_workers': Value('int64'), 'processing_time_seconds': Value('float64'), 'qpos_dim': Value('int64'), 'splits': List(Value('string')), 'std': List(Value('float64')), 'total_frames': Value('int64'), 'type': Value('string')}}
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
              created_at_unix: double
              data: struct<action_chunk_size: int64, action_normalization: struct<enabled: bool, stats_file: string, typ (... 130 chars omitted)
                child 0, action_chunk_size: int64
                child 1, action_normalization: struct<enabled: bool, stats_file: string, type: string>
                    child 0, enabled: bool
                    child 1, stats_file: string
                    child 2, type: string
                child 2, global_downsample_rate: int64
                child 3, num_video_frames: int64
                child 4, video_action_freq_ratio: int64
                child 5, video_size: list<item: int64>
                    child 0, item: int64
              dataset_fingerprint: string
              episode_count: int64
              format: string
              language: struct<dtype: string, policy: string, storage: string>
                child 0, dtype: string
                child 1, policy: string
                child 2, storage: string
              latent: struct<future_video_size: list<item: int64>, precision: string, reuse_condition_latent_from_clean: b (... 4 chars omitted)
                child 0, future_video_size: list<item: int64>
                    child 0, item: int64
                child 1, precision: string
                child 2, reuse_condition_latent_from_clean: bool
              manifest_sha256: string
              runtime_validation: struct<default: bool, notes: string>
                child 0, default: bool
                child 1, notes: string
              sample_count: int64
              sample_layout: string
              sampling: struct<mode: string, samples_per_episode: int64, seed: int64>
                child 0, mode: string
                child 1, samples_per_episode: int64
                child 2, seed: int64
              shard_count: int64
              shard_size: int64
              statistics: struct<effective_frame_count: struct<max: int64, mean: double, min: int
              ...
              string
                child 4, sample_count: int64
                child 5, sample_count_per_episode: struct<max: int64, mean: double, min: int64>
                    child 0, max: int64
                    child 1, mean: double
                    child 2, min: int64
                child 6, task_count: int64
              storage: struct<shard_dir: string, shard_size: int64>
                child 0, shard_dir: string
                child 1, shard_size: int64
              training_dataset: struct<language_policy: string, max_open_shards: int64, sampling: struct<mode: string, samples_per_e (... 66 chars omitted)
                child 0, language_policy: string
                child 1, max_open_shards: int64
                child 2, sampling: struct<mode: string, samples_per_episode: int64, seed: int64>
                    child 0, mode: string
                    child 1, samples_per_episode: int64
                    child 2, seed: int64
                child 3, type: string
                child 4, validate_runtime: bool
              version: int64
              written_bytes: int64
              robotwin_qpos: struct<error_count: int64, file_count: int64, max: list<item: double>, mean: list<item: double>, min (... 179 chars omitted)
                child 0, error_count: int64
                child 1, file_count: int64
                child 2, max: list<item: double>
                    child 0, item: double
                child 3, mean: list<item: double>
                    child 0, item: double
                child 4, min: list<item: double>
                    child 0, item: double
                child 5, num_workers: int64
                child 6, processing_time_seconds: double
                child 7, qpos_dim: int64
                child 8, splits: list<item: string>
                    child 0, item: string
                child 9, std: list<item: double>
                    child 0, item: double
                child 10, total_frames: int64
                child 11, type: string
              to
              {'robotwin_qpos': {'error_count': Value('int64'), 'file_count': Value('int64'), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'min': List(Value('float64')), 'num_workers': Value('int64'), 'processing_time_seconds': Value('float64'), 'qpos_dim': Value('int64'), 'splits': List(Value('string')), 'std': List(Value('float64')), 'total_frames': Value('int64'), 'type': Value('string')}}
              because column names don't match