Datasets:

---

loralover

/

packing_eval_trajectories

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
goal_id: string
env_seed: int64
rollout_idx: int64
success: bool
packed_ratio: double
max_reward: double
episode_length: int64
goal_objects: list<item: string>
  child 0, item: string
n_objects: int64
packed_count: int64
first_pack_step: int64
pack_event_steps: list<item: int64>
  child 0, item: int64
event_timeline: list<item: struct<step: int64, type: string, object: string, tray: string, reward_before: double, re (... 20 chars omitted)
  child 0, item: struct<step: int64, type: string, object: string, tray: string, reward_before: double, reward_after: (... 8 chars omitted)
      child 0, step: int64
      child 1, type: string
      child 2, object: string
      child 3, tray: string
      child 4, reward_before: double
      child 5, reward_after: double
reward_trace_sparse: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
prompt: string
to
{'goal_id': Value('string'), 'env_seed': Value('int64'), 'rollout_idx': Value('int64'), 'success': Value('bool'), 'packed_ratio': Value('float64'), 'max_reward': Value('float64'), 'episode_length': Value('int64'), 'event_timeline': List({'step': Value('int64'), 'type': Value('string'), 'object': Value('string'), 'tray': Value('string'), 'reward_before': Value('float64'), 'reward_after': Value('float64')}), 'reward_trace_sparse': List(List(Value('float64'))), 'prompt': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                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
              schema_version: int64
              goal_id: string
              env_seed: int64
              rollout_idx: int64
              success: bool
              packed_ratio: double
              max_reward: double
              episode_length: int64
              goal_objects: list<item: string>
                child 0, item: string
              n_objects: int64
              packed_count: int64
              first_pack_step: int64
              pack_event_steps: list<item: int64>
                child 0, item: int64
              event_timeline: list<item: struct<step: int64, type: string, object: string, tray: string, reward_before: double, re (... 20 chars omitted)
                child 0, item: struct<step: int64, type: string, object: string, tray: string, reward_before: double, reward_after: (... 8 chars omitted)
                    child 0, step: int64
                    child 1, type: string
                    child 2, object: string
                    child 3, tray: string
                    child 4, reward_before: double
                    child 5, reward_after: double
              reward_trace_sparse: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              prompt: string
              to
              {'goal_id': Value('string'), 'env_seed': Value('int64'), 'rollout_idx': Value('int64'), 'success': Value('bool'), 'packed_ratio': Value('float64'), 'max_reward': Value('float64'), 'episode_length': Value('int64'), 'event_timeline': List({'step': Value('int64'), 'type': Value('string'), 'object': Value('string'), 'tray': Value('string'), 'reward_before': Value('float64'), 'reward_after': Value('float64')}), 'reward_trace_sparse': List(List(Value('float64'))), 'prompt': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset