Datasets:

---

olingoudey

/

8tasks_rollouts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
rollout_id: string
level: null
task_name: string
task_index: int64
task_file: null
episode_index: int64
instruction: string
convention: null
replan_steps: int64
success: bool
max_steps: null
seed: null
model_id: null
checkpoint: null
feature_source: null
feature_server: null
feature_server_version: null
control_hz: double
num_steps_wait: null
sim_failure_category: null
failing_predicate: null
failure_detail: null
elapsed_seconds: double
video_path: string
wrist_video_path: string
n_policy: int64
n_control: int64
has_features: bool
policies: list<item: struct<policy_step: int64, executed_control_step_start: int64, executed_control_step_end: (... 317 chars omitted)
  child 0, item: struct<policy_step: int64, executed_control_step_start: int64, executed_control_step_end: int64, pre (... 305 chars omitted)
      child 0, policy_step: int64
      child 1, executed_control_step_start: int64
      child 2, executed_control_step_end: int64
      child 3, predicted_chunk_length: int64
      child 4, feature_source: null
      child 5, feature_module: null
      child 6, feature_shapes: struct<base_image: list<item: int64>, wrist_image: list<item: int64>, language: list<item: int64>, l (... 95 chars omitted)
          child 0, base_image: list<item: int64>
              child 0, item: int64
          child 1, wrist_image: list<item: int64>
              child 0, item: int64
          child 2, language: list<item: int64>
              child 0, item: int64
          child 3, language_mas
...
ld 18, vlm_justification: null
  child 19, vlm_temporal_justification: string
  child 20, vlm_video_fps: double
  child 21, vlm_video_num_frames: int64
  child 22, vlm_video_duration_seconds: double
  child 23, vlm_usage: struct<input_tokens: int64, output_tokens: int64, cached_tokens: int64>
      child 0, input_tokens: int64
      child 1, output_tokens: int64
      child 2, cached_tokens: int64
  child 24, vlm_raw_response: string
scene_variant: string
task_id: int64
labeler: struct<backend: string, model: string, refine: bool, labeled_at: timestamp[s], pipeline: string, pro (... 138 chars omitted)
  child 0, backend: string
  child 1, model: string
  child 2, refine: bool
  child 3, labeled_at: timestamp[s]
  child 4, pipeline: string
  child 5, prompts: struct<keyword_phrases: string, failure_coarse: string, failure_refine: string, failure_language: st (... 31 chars omitted)
      child 0, keyword_phrases: string
      child 1, failure_coarse: string
      child 2, failure_refine: string
      child 3, failure_language: string
      child 4, failure_taxonomy: string
failure_annotation: struct<failure_control_step: int64, failure_sim_step: int64, failure_policy_step: int64, failure_chu (... 104 chars omitted)
  child 0, failure_control_step: int64
  child 1, failure_sim_step: int64
  child 2, failure_policy_step: int64
  child 3, failure_chunk_index: int64
  child 4, first_post_failure_policy_step: int64
  child 5, failure_type: string
  child 6, correction_action: string
to
{'rollout_id': Value('string'), 'scene_variant': Value('string'), 'task_id': Value('int64'), 'task_file': Value('string'), 'instruction': Value('string'), 'success': Value('bool'), 'model_id': Value('string'), 'labeler': {'backend': Value('string'), 'model': Value('string'), 'refine': Value('bool'), 'labeled_at': Value('timestamp[s]'), 'pipeline': Value('string'), 'prompts': {'keyword_phrases': Value('string'), 'failure_coarse': Value('string'), 'failure_refine': Value('string'), 'failure_language': Value('string'), 'failure_taxonomy': Value('string')}}, 'semantic_timeline': List({'segment_index': Value('int64'), 't_start_sec': Value('float64'), 't_end_sec': Value('float64'), 'control_step_start': Value('int64'), 'control_step_end': Value('int64'), 'policy_step_start': Value('int64'), 'policy_step_end': Value('int64'), 'phrase': Value('string'), 'description': Value('string')}), 'vlm_failure': {'vlm_failure_mode': Value('string'), 'vlm_failure_onset_type': Value('string'), 'vlm_failure_onset_seconds': Value('float64'), 'vlm_failure_onset_timestamp': Value('string'), 'vlm_failure_onset_frame': Value('int64'), 'vlm_failure_onset_step': Value('int64'), 'vlm_coarse_failure_onset_seconds': Value('float64'), 'vlm_failure_window_start_seconds': Value('float64'), 'vlm_failure_window_end_seconds': Value('float64'), 'vlm_temporal_refined': Value('bool'), 'vlm_confidence': Value('string'), 'vlm_temporal_confidence': Value('string'), 'vlm_failure_reason': Value('string'), 'vlm_failure_reason_summary': Value('string'), 'vlm_recovery_action': Value('string'), 'vlm_recovery_action_summary': Value('string'), 'vlm_prevention_action': Value('string'), 'vlm_prevention_action_summary': Value('string'), 'vlm_justification': Value('null'), 'vlm_temporal_justification': Value('string'), 'vlm_video_fps': Value('float64'), 'vlm_video_num_frames': Value('int64'), 'vlm_video_duration_seconds': Value('float64'), 'vlm_usage': {'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'cached_tokens': Value('int64')}, 'vlm_raw_response': Value('string')}, 'failure_annotation': {'failure_control_step': Value('int64'), 'failure_sim_step': Value('int64'), 'failure_policy_step': Value('int64'), 'failure_chunk_index': Value('int64'), 'first_post_failure_policy_step': Value('int64'), 'failure_type': Value('string'), 'correction_action': 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              rollout_id: string
              level: null
              task_name: string
              task_index: int64
              task_file: null
              episode_index: int64
              instruction: string
              convention: null
              replan_steps: int64
              success: bool
              max_steps: null
              seed: null
              model_id: null
              checkpoint: null
              feature_source: null
              feature_server: null
              feature_server_version: null
              control_hz: double
              num_steps_wait: null
              sim_failure_category: null
              failing_predicate: null
              failure_detail: null
              elapsed_seconds: double
              video_path: string
              wrist_video_path: string
              n_policy: int64
              n_control: int64
              has_features: bool
              policies: list<item: struct<policy_step: int64, executed_control_step_start: int64, executed_control_step_end: (... 317 chars omitted)
                child 0, item: struct<policy_step: int64, executed_control_step_start: int64, executed_control_step_end: int64, pre (... 305 chars omitted)
                    child 0, policy_step: int64
                    child 1, executed_control_step_start: int64
                    child 2, executed_control_step_end: int64
                    child 3, predicted_chunk_length: int64
                    child 4, feature_source: null
                    child 5, feature_module: null
                    child 6, feature_shapes: struct<base_image: list<item: int64>, wrist_image: list<item: int64>, language: list<item: int64>, l (... 95 chars omitted)
                        child 0, base_image: list<item: int64>
                            child 0, item: int64
                        child 1, wrist_image: list<item: int64>
                            child 0, item: int64
                        child 2, language: list<item: int64>
                            child 0, item: int64
                        child 3, language_mas
              ...
              ld 18, vlm_justification: null
                child 19, vlm_temporal_justification: string
                child 20, vlm_video_fps: double
                child 21, vlm_video_num_frames: int64
                child 22, vlm_video_duration_seconds: double
                child 23, vlm_usage: struct<input_tokens: int64, output_tokens: int64, cached_tokens: int64>
                    child 0, input_tokens: int64
                    child 1, output_tokens: int64
                    child 2, cached_tokens: int64
                child 24, vlm_raw_response: string
              scene_variant: string
              task_id: int64
              labeler: struct<backend: string, model: string, refine: bool, labeled_at: timestamp[s], pipeline: string, pro (... 138 chars omitted)
                child 0, backend: string
                child 1, model: string
                child 2, refine: bool
                child 3, labeled_at: timestamp[s]
                child 4, pipeline: string
                child 5, prompts: struct<keyword_phrases: string, failure_coarse: string, failure_refine: string, failure_language: st (... 31 chars omitted)
                    child 0, keyword_phrases: string
                    child 1, failure_coarse: string
                    child 2, failure_refine: string
                    child 3, failure_language: string
                    child 4, failure_taxonomy: string
              failure_annotation: struct<failure_control_step: int64, failure_sim_step: int64, failure_policy_step: int64, failure_chu (... 104 chars omitted)
                child 0, failure_control_step: int64
                child 1, failure_sim_step: int64
                child 2, failure_policy_step: int64
                child 3, failure_chunk_index: int64
                child 4, first_post_failure_policy_step: int64
                child 5, failure_type: string
                child 6, correction_action: string
              to
              {'rollout_id': Value('string'), 'scene_variant': Value('string'), 'task_id': Value('int64'), 'task_file': Value('string'), 'instruction': Value('string'), 'success': Value('bool'), 'model_id': Value('string'), 'labeler': {'backend': Value('string'), 'model': Value('string'), 'refine': Value('bool'), 'labeled_at': Value('timestamp[s]'), 'pipeline': Value('string'), 'prompts': {'keyword_phrases': Value('string'), 'failure_coarse': Value('string'), 'failure_refine': Value('string'), 'failure_language': Value('string'), 'failure_taxonomy': Value('string')}}, 'semantic_timeline': List({'segment_index': Value('int64'), 't_start_sec': Value('float64'), 't_end_sec': Value('float64'), 'control_step_start': Value('int64'), 'control_step_end': Value('int64'), 'policy_step_start': Value('int64'), 'policy_step_end': Value('int64'), 'phrase': Value('string'), 'description': Value('string')}), 'vlm_failure': {'vlm_failure_mode': Value('string'), 'vlm_failure_onset_type': Value('string'), 'vlm_failure_onset_seconds': Value('float64'), 'vlm_failure_onset_timestamp': Value('string'), 'vlm_failure_onset_frame': Value('int64'), 'vlm_failure_onset_step': Value('int64'), 'vlm_coarse_failure_onset_seconds': Value('float64'), 'vlm_failure_window_start_seconds': Value('float64'), 'vlm_failure_window_end_seconds': Value('float64'), 'vlm_temporal_refined': Value('bool'), 'vlm_confidence': Value('string'), 'vlm_temporal_confidence': Value('string'), 'vlm_failure_reason': Value('string'), 'vlm_failure_reason_summary': Value('string'), 'vlm_recovery_action': Value('string'), 'vlm_recovery_action_summary': Value('string'), 'vlm_prevention_action': Value('string'), 'vlm_prevention_action_summary': Value('string'), 'vlm_justification': Value('null'), 'vlm_temporal_justification': Value('string'), 'vlm_video_fps': Value('float64'), 'vlm_video_num_frames': Value('int64'), 'vlm_video_duration_seconds': Value('float64'), 'vlm_usage': {'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'cached_tokens': Value('int64')}, 'vlm_raw_response': Value('string')}, 'failure_annotation': {'failure_control_step': Value('int64'), 'failure_sim_step': Value('int64'), 'failure_policy_step': Value('int64'), 'failure_chunk_index': Value('int64'), 'first_post_failure_policy_step': Value('int64'), 'failure_type': Value('string'), 'correction_action': Value('string')}}
              because column names don't match