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novastar111
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sokoban_v6

Tasks:

Reinforcement Learning

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test

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
task: string
split: string
env_id: string
upstream_env_id: string
seed: int64
episode_seed: int64
episode: int64
timestamp: string
history: list<item: struct<step: int64, prompt: string, vlm_output: string, action: string, action_raw: strin (... 88 chars omitted)
  child 0, item: struct<step: int64, prompt: string, vlm_output: string, action: string, action_raw: string, reward:  (... 76 chars omitted)
      child 0, step: int64
      child 1, prompt: string
      child 2, vlm_output: string
      child 3, action: string
      child 4, action_raw: string
      child 5, reward: double
      child 6, image_prev: string
      child 7, image: string
      child 8, image_next: string
      child 9, info: string
stats: struct<step: int64, reward: double, terminated: bool, truncated: bool, solved: bool, action_schema_v (... 15 chars omitted)
  child 0, step: int64
  child 1, reward: double
  child 2, terminated: bool
  child 3, truncated: bool
  child 4, solved: bool
  child 5, action_schema_version: string
init_state: struct<room_fixed: list<item: list<item: int64>>, player_position: list<item: int64>, box_positions: (... 201 chars omitted)
  child 0, room_fixed: list<item: list<item: int64>>
      child 0, item: list<item: int64>
          child 0, item: int64
  child 1, player_position: list<item: int64>
      child 0, item: int64
  child 2, box_positions: list<item: list<item: int64>>
      child 0, item: list<item: int64>
          child 0, item: int64
  child 3, step_count: int64
  child 4, max_steps: int64
  child 5, dim_room: list<item: int64>
      child 0, item: int64
  child 6, num_boxes: int64
  child 7, num_gen_steps: int64
  child 8, constructive_solution: list<item: string>
      child 0, item: string
  child 9, box_mapping: string
hash: string
solve_kwargs: struct<strategy: string, state_limit: int64>
  child 0, strategy: string
  child 1, state_limit: int64
solver_metadata: struct<>
version: string
action_schema_version: string
source_dataset: string
env_kwargs: struct<action_mode: string>
  child 0, action_mode: string
init_state_hash: string
extra_state: null
to
{'task': Value('string'), 'env_id': Value('string'), 'env_kwargs': {'action_mode': Value('string')}, 'seed': Value('int64'), 'episode_seed': Value('int64'), 'extra_state': Value('null'), 'timestamp': Value('string'), 'history': List({'step': Value('int64'), 'prompt': Value('string'), 'vlm_output': Value('string'), 'action': Value('string'), 'reward': Value('float64'), 'image_prev': Value('string'), 'image': Value('string'), 'image_next': Value('string'), 'info': Value('string')}), 'stats': {'step': Value('int64'), 'reward': Value('float64'), 'terminated': Value('bool'), 'truncated': Value('bool'), 'action_schema_version': Value('string')}, 'init_state': {'difficulty': Value('string'), 'dim_room': List(Value('int64')), 'max_steps': Value('int64'), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64'), 'room_fixed': List(List(Value('int64'))), 'room_state': List(List(Value('int64'))), 'player_position': List(Value('int64')), 'box_mapping': Json(decode=True), 'num_env_steps': Value('int64'), 'boxes_on_target': Value('int64')}, 'solve_kwargs': {'strategy': Value('string')}, 'version': Value('string'), 'episode': Value('int64'), 'init_state_hash': Value('string'), 'split': Value('string'), 'upstream_env_id': Value('string'), 'action_schema_version': Value('string'), 'source_dataset': 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 295, 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              task: string
              split: string
              env_id: string
              upstream_env_id: string
              seed: int64
              episode_seed: int64
              episode: int64
              timestamp: string
              history: list<item: struct<step: int64, prompt: string, vlm_output: string, action: string, action_raw: strin (... 88 chars omitted)
                child 0, item: struct<step: int64, prompt: string, vlm_output: string, action: string, action_raw: string, reward:  (... 76 chars omitted)
                    child 0, step: int64
                    child 1, prompt: string
                    child 2, vlm_output: string
                    child 3, action: string
                    child 4, action_raw: string
                    child 5, reward: double
                    child 6, image_prev: string
                    child 7, image: string
                    child 8, image_next: string
                    child 9, info: string
              stats: struct<step: int64, reward: double, terminated: bool, truncated: bool, solved: bool, action_schema_v (... 15 chars omitted)
                child 0, step: int64
                child 1, reward: double
                child 2, terminated: bool
                child 3, truncated: bool
                child 4, solved: bool
                child 5, action_schema_version: string
              init_state: struct<room_fixed: list<item: list<item: int64>>, player_position: list<item: int64>, box_positions: (... 201 chars omitted)
                child 0, room_fixed: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
                child 1, player_position: list<item: int64>
                    child 0, item: int64
                child 2, box_positions: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
                child 3, step_count: int64
                child 4, max_steps: int64
                child 5, dim_room: list<item: int64>
                    child 0, item: int64
                child 6, num_boxes: int64
                child 7, num_gen_steps: int64
                child 8, constructive_solution: list<item: string>
                    child 0, item: string
                child 9, box_mapping: string
              hash: string
              solve_kwargs: struct<strategy: string, state_limit: int64>
                child 0, strategy: string
                child 1, state_limit: int64
              solver_metadata: struct<>
              version: string
              action_schema_version: string
              source_dataset: string
              env_kwargs: struct<action_mode: string>
                child 0, action_mode: string
              init_state_hash: string
              extra_state: null
              to
              {'task': Value('string'), 'env_id': Value('string'), 'env_kwargs': {'action_mode': Value('string')}, 'seed': Value('int64'), 'episode_seed': Value('int64'), 'extra_state': Value('null'), 'timestamp': Value('string'), 'history': List({'step': Value('int64'), 'prompt': Value('string'), 'vlm_output': Value('string'), 'action': Value('string'), 'reward': Value('float64'), 'image_prev': Value('string'), 'image': Value('string'), 'image_next': Value('string'), 'info': Value('string')}), 'stats': {'step': Value('int64'), 'reward': Value('float64'), 'terminated': Value('bool'), 'truncated': Value('bool'), 'action_schema_version': Value('string')}, 'init_state': {'difficulty': Value('string'), 'dim_room': List(Value('int64')), 'max_steps': Value('int64'), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64'), 'room_fixed': List(List(Value('int64'))), 'room_state': List(List(Value('int64'))), 'player_position': List(Value('int64')), 'box_mapping': Json(decode=True), 'num_env_steps': Value('int64'), 'boxes_on_target': Value('int64')}, 'solve_kwargs': {'strategy': Value('string')}, 'version': Value('string'), 'episode': Value('int64'), 'init_state_hash': Value('string'), 'split': Value('string'), 'upstream_env_id': Value('string'), 'action_schema_version': Value('string'), 'source_dataset': Value('string')}
              because column names don't match

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sokoban_v6

Sokoban move-only test-only dataset derived from novastar111/s_v5_move_only.

trajectories/sokoban_easy/test/batch_000000.jsonl: 100 easy test episodes
trajectories/sokoban_hard/test/batch_000000.jsonl: 100 hard test episodes
manifests/*.json: split-level metadata
metadata/selection_summary.json: selected episode seeds and sampling settings

Construction

easy_test: keep only records whose episode_seed appears in /Users/ray/Downloads/0419b_unified200_moveonly_easyckpt_selfrollout_stop_then_solved/sokoban__easy/baseline
hard_test: uniformly sample 100 records from novastar111/s_v5_move_only hard test with fixed random seed 20260423

Source

Source dataset: novastar111/s_v5_move_only
Action schema: move-only Sokoban with stop action

Downloads last month: 29

Total file size:

121 MB

sokoban_v6

Contents

Construction

Source