Datasets:

---

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A1-Group-Rollouts

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
run: string
step: int64
environment: string
method: string
procedure: string
model_path: string
checkpoint_source: string
checkpoint_root: string
checkpoint_file_hashes: struct<>
checkpoint_hash: string
panel_path: string
panel_hash: string
n_goals_expected: null
task_limit: null
tasks: int64
group_size: int64
tasks_per_shard: int64
config: struct<env_name: string, model_path: string, max_prompt_length: int64, max_response_length: int64, m (... 671 chars omitted)
  child 0, env_name: string
  child 1, model_path: string
  child 2, max_prompt_length: int64
  child 3, max_response_length: int64
  child 4, max_steps: int64
  child 5, apply_chat_template_kwargs: struct<>
  child 6, truncation: string
  child 7, val_batch_size: int64
  child 8, env_seed: int64
  child 9, history_length: int64
  child 10, history_action_char_cap: null
  child 11, webshop_use_small: bool
  child 12, webshop_human_goals: bool
  child 13, alfworld_eval_dataset: string
  child 14, num_cpus_per_env_worker: double
  child 15, temperature: double
  child 16, top_p: double
  child 17, top_k: int64
  child 18, data_source: string
  child 19, provenance: struct<source: string, env_name: string, overrides: struct<model_path: string, max_prompt_length: in (... 202 chars omitted)
      child 0, source: string
      child 1, env_name: string
      child 2, overrides: struct<model_path: string, max_prompt_length: int64, max_response_length: int64, max_steps: int64, a (... 149 chars omitted)
          child 0, mod
...
ing
python: string
code_commit: string
observed_identity: list<item: struct<task_index: int64, gamefile: string>>
  child 0, item: struct<task_index: int64, gamefile: string>
      child 0, task_index: int64
      child 1, gamefile: string
shards: list<item: struct<shard: int64, tasks: int64, farm_build_s: double, rollout_s: double, generation_ca (... 113 chars omitted)
  child 0, item: struct<shard: int64, tasks: int64, farm_build_s: double, rollout_s: double, generation_calls: int64, (... 101 chars omitted)
      child 0, shard: int64
      child 1, tasks: int64
      child 2, farm_build_s: double
      child 3, rollout_s: double
      child 4, generation_calls: int64
      child 5, success_rate: double
      child 6, valid_action_ratio: double
      child 7, mean_length: double
      child 8, mixed_group_fraction: double
n_rows: int64
n_episodes: int64
summary: struct<success_rate: double, valid_action_ratio: double, mean_length: double, mixed_group_fraction:  (... 7 chars omitted)
  child 0, success_rate: double
  child 1, valid_action_ratio: double
  child 2, mean_length: double
  child 3, mixed_group_fraction: double
timing_s: struct<checkpoint_hash: double, engine: double, total: double>
  child 0, checkpoint_hash: double
  child 1, engine: double
  child 2, total: double
rollout_index: int64
part: string
length: int64
fork_step: int64
episode_reward: double
task_id: string
task_index: int64
ended: string
success: bool
invalid_actions: int64
parent_rollout_index: int64
to
{'task_index': Value('int64'), 'task_id': Value('string'), 'rollout_index': Value('int64'), 'success': Value('bool'), 'episode_reward': Value('float64'), 'length': Value('int64'), 'invalid_actions': Value('int64'), 'ended': Value('string'), 'part': Value('string'), 'fork_step': Value('int64'), 'parent_rollout_index': Value('int64'), 'run': Value('string'), 'step': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              run: string
              step: int64
              environment: string
              method: string
              procedure: string
              model_path: string
              checkpoint_source: string
              checkpoint_root: string
              checkpoint_file_hashes: struct<>
              checkpoint_hash: string
              panel_path: string
              panel_hash: string
              n_goals_expected: null
              task_limit: null
              tasks: int64
              group_size: int64
              tasks_per_shard: int64
              config: struct<env_name: string, model_path: string, max_prompt_length: int64, max_response_length: int64, m (... 671 chars omitted)
                child 0, env_name: string
                child 1, model_path: string
                child 2, max_prompt_length: int64
                child 3, max_response_length: int64
                child 4, max_steps: int64
                child 5, apply_chat_template_kwargs: struct<>
                child 6, truncation: string
                child 7, val_batch_size: int64
                child 8, env_seed: int64
                child 9, history_length: int64
                child 10, history_action_char_cap: null
                child 11, webshop_use_small: bool
                child 12, webshop_human_goals: bool
                child 13, alfworld_eval_dataset: string
                child 14, num_cpus_per_env_worker: double
                child 15, temperature: double
                child 16, top_p: double
                child 17, top_k: int64
                child 18, data_source: string
                child 19, provenance: struct<source: string, env_name: string, overrides: struct<model_path: string, max_prompt_length: in (... 202 chars omitted)
                    child 0, source: string
                    child 1, env_name: string
                    child 2, overrides: struct<model_path: string, max_prompt_length: int64, max_response_length: int64, max_steps: int64, a (... 149 chars omitted)
                        child 0, mod
              ...
              ing
              python: string
              code_commit: string
              observed_identity: list<item: struct<task_index: int64, gamefile: string>>
                child 0, item: struct<task_index: int64, gamefile: string>
                    child 0, task_index: int64
                    child 1, gamefile: string
              shards: list<item: struct<shard: int64, tasks: int64, farm_build_s: double, rollout_s: double, generation_ca (... 113 chars omitted)
                child 0, item: struct<shard: int64, tasks: int64, farm_build_s: double, rollout_s: double, generation_calls: int64, (... 101 chars omitted)
                    child 0, shard: int64
                    child 1, tasks: int64
                    child 2, farm_build_s: double
                    child 3, rollout_s: double
                    child 4, generation_calls: int64
                    child 5, success_rate: double
                    child 6, valid_action_ratio: double
                    child 7, mean_length: double
                    child 8, mixed_group_fraction: double
              n_rows: int64
              n_episodes: int64
              summary: struct<success_rate: double, valid_action_ratio: double, mean_length: double, mixed_group_fraction:  (... 7 chars omitted)
                child 0, success_rate: double
                child 1, valid_action_ratio: double
                child 2, mean_length: double
                child 3, mixed_group_fraction: double
              timing_s: struct<checkpoint_hash: double, engine: double, total: double>
                child 0, checkpoint_hash: double
                child 1, engine: double
                child 2, total: double
              rollout_index: int64
              part: string
              length: int64
              fork_step: int64
              episode_reward: double
              task_id: string
              task_index: int64
              ended: string
              success: bool
              invalid_actions: int64
              parent_rollout_index: int64
              to
              {'task_index': Value('int64'), 'task_id': Value('string'), 'rollout_index': Value('int64'), 'success': Value('bool'), 'episode_reward': Value('float64'), 'length': Value('int64'), 'invalid_actions': Value('int64'), 'ended': Value('string'), 'part': Value('string'), 'fork_step': Value('int64'), 'parent_rollout_index': Value('int64'), 'run': Value('string'), 'step': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, 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