Dataset Viewer
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
suite: string
selection_uses_model_outputs: bool
evaluation_contract: struct<episodes_per_set: int64, oracle_solution_max_steps: int64, evaluation_max_steps: int64, image (... 93 chars omitted)
child 0, episodes_per_set: int64
child 1, oracle_solution_max_steps: int64
child 2, evaluation_max_steps: int64
child 3, image_quality: int64
child 4, decoder: string
child 5, rollout: string
child 6, action_mode: string
child 7, success_mode: string
sets: struct<2box_TEMPTING_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, (... 862 chars omitted)
child 0, 2box_TEMPTING_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solution_l (... 30 chars omitted)
child 0, path: string
child 1, sha256: string
child 2, n: int64
child 3, num_boxes: int64
child 4, solution_len_min: int64
child 5, solution_len_max: int64
child 6, source: string
child 1, 3box_CERTIFIED_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solution_l (... 30 chars omitted)
child 0, path: string
child 1, sha256: string
child 2, n: int64
child 3, num_boxes: int64
child 4, solution_len_min: int64
child 5, solution_len_max: int64
child 6, source: string
child 2, 4box_CERTIFIED_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solutio
...
action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<i (... 93 chars omitted)
child 0, item: struct<action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<item: int64> (... 81 chars omitted)
child 0, action_id: int64
child 1, action_text: string
child 2, box_from: list<item: int64>
child 0, item: int64
child 3, box_to: list<item: int64>
child 0, item: int64
child 4, is_dead_corner: bool
child 5, is_expert: bool
child 6, states_expanded: int64
child 7, verdict: string
row_type: string
paper_source_global_index: int64
primary_fatal_push: struct<action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<item: int64> (... 81 chars omitted)
child 0, action_id: int64
child 1, action_text: string
child 2, box_from: list<item: int64>
child 0, item: int64
child 3, box_to: list<item: int64>
child 0, item: int64
child 4, is_dead_corner: bool
child 5, is_expert: bool
child 6, states_expanded: int64
child 7, verdict: string
seed: int64
branch_step: int64
canonical_layout_hash: string
expert_actions: list<item: string>
child 0, item: string
paper_final_set: string
env_kwargs: struct<action_mode: string, dim_room: list<item: int64>, max_steps: int64, num_boxes: int64>
child 0, action_mode: string
child 1, dim_room: list<item: int64>
child 0, item: int64
child 2, max_steps: int64
child 3, num_boxes: int64
to
{'branch_depth_bin': Value('string'), 'branch_step': Value('int64'), 'canonical_layout_hash': Value('string'), 'critical_count_bin': Value('string'), 'critical_steps': List(Value('int64')), 'env_id': Value('string'), 'env_kwargs': {'action_mode': Value('string'), 'dim_room': List(Value('int64')), 'max_steps': Value('int64'), 'num_boxes': Value('int64')}, 'expert_action_at_branch': Value('string'), 'expert_actions': List(Value('string')), 'expert_plan_len': Value('int64'), 'fatal_pushes_at_branch': List({'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}), 'global_index': Value('int64'), 'init_state': {'action_mode': Value('string'), 'box_positions': List(List(Value('int64'))), 'constructive_solution': Value('null'), 'constructive_solution_schema': Value('string'), 'dim_room': List(Value('int64')), 'legacy_single_move_branch': Value('bool'), 'max_steps': Value('int64'), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64'), 'player_position': List(Value('int64')), 'room_fixed': List(List(Value('int64'))), 'step_count': Value('int64'), 'success_mode': Value('string')}, 'init_state_hash': Value('string'), 'n_critical_points': Value('int64'), 'oracle_or_expert_solution_len': Value('int64'), 'paper_eval_set': Value('string'), 'paper_eval_version': Value('string'), 'paper_final_set': Value('string'), 'paper_final_suite': Value('string'), 'paper_source_global_index': Value('int64'), 'paper_v3_source_global_index': Value('int64'), 'paper_v3_upstream_source_global_index': Value('int64'), 'primary_fatal_push': {'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}, 'row_type': Value('string'), 'safe_pushes_at_branch': List({'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}), 'seed': Value('int64'), 'selection_basis': Value('string'), 'source_pool': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 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
suite: string
selection_uses_model_outputs: bool
evaluation_contract: struct<episodes_per_set: int64, oracle_solution_max_steps: int64, evaluation_max_steps: int64, image (... 93 chars omitted)
child 0, episodes_per_set: int64
child 1, oracle_solution_max_steps: int64
child 2, evaluation_max_steps: int64
child 3, image_quality: int64
child 4, decoder: string
child 5, rollout: string
child 6, action_mode: string
child 7, success_mode: string
sets: struct<2box_TEMPTING_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, (... 862 chars omitted)
child 0, 2box_TEMPTING_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solution_l (... 30 chars omitted)
child 0, path: string
child 1, sha256: string
child 2, n: int64
child 3, num_boxes: int64
child 4, solution_len_min: int64
child 5, solution_len_max: int64
child 6, source: string
child 1, 3box_CERTIFIED_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solution_l (... 30 chars omitted)
child 0, path: string
child 1, sha256: string
child 2, n: int64
child 3, num_boxes: int64
child 4, solution_len_min: int64
child 5, solution_len_max: int64
child 6, source: string
child 2, 4box_CERTIFIED_DEADLOCK_100: struct<path: string, sha256: string, n: int64, num_boxes: int64, solution_len_min: int64, solutio
...
action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<i (... 93 chars omitted)
child 0, item: struct<action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<item: int64> (... 81 chars omitted)
child 0, action_id: int64
child 1, action_text: string
child 2, box_from: list<item: int64>
child 0, item: int64
child 3, box_to: list<item: int64>
child 0, item: int64
child 4, is_dead_corner: bool
child 5, is_expert: bool
child 6, states_expanded: int64
child 7, verdict: string
row_type: string
paper_source_global_index: int64
primary_fatal_push: struct<action_id: int64, action_text: string, box_from: list<item: int64>, box_to: list<item: int64> (... 81 chars omitted)
child 0, action_id: int64
child 1, action_text: string
child 2, box_from: list<item: int64>
child 0, item: int64
child 3, box_to: list<item: int64>
child 0, item: int64
child 4, is_dead_corner: bool
child 5, is_expert: bool
child 6, states_expanded: int64
child 7, verdict: string
seed: int64
branch_step: int64
canonical_layout_hash: string
expert_actions: list<item: string>
child 0, item: string
paper_final_set: string
env_kwargs: struct<action_mode: string, dim_room: list<item: int64>, max_steps: int64, num_boxes: int64>
child 0, action_mode: string
child 1, dim_room: list<item: int64>
child 0, item: int64
child 2, max_steps: int64
child 3, num_boxes: int64
to
{'branch_depth_bin': Value('string'), 'branch_step': Value('int64'), 'canonical_layout_hash': Value('string'), 'critical_count_bin': Value('string'), 'critical_steps': List(Value('int64')), 'env_id': Value('string'), 'env_kwargs': {'action_mode': Value('string'), 'dim_room': List(Value('int64')), 'max_steps': Value('int64'), 'num_boxes': Value('int64')}, 'expert_action_at_branch': Value('string'), 'expert_actions': List(Value('string')), 'expert_plan_len': Value('int64'), 'fatal_pushes_at_branch': List({'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}), 'global_index': Value('int64'), 'init_state': {'action_mode': Value('string'), 'box_positions': List(List(Value('int64'))), 'constructive_solution': Value('null'), 'constructive_solution_schema': Value('string'), 'dim_room': List(Value('int64')), 'legacy_single_move_branch': Value('bool'), 'max_steps': Value('int64'), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64'), 'player_position': List(Value('int64')), 'room_fixed': List(List(Value('int64'))), 'step_count': Value('int64'), 'success_mode': Value('string')}, 'init_state_hash': Value('string'), 'n_critical_points': Value('int64'), 'oracle_or_expert_solution_len': Value('int64'), 'paper_eval_set': Value('string'), 'paper_eval_version': Value('string'), 'paper_final_set': Value('string'), 'paper_final_suite': Value('string'), 'paper_source_global_index': Value('int64'), 'paper_v3_source_global_index': Value('int64'), 'paper_v3_upstream_source_global_index': Value('int64'), 'primary_fatal_push': {'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}, 'row_type': Value('string'), 'safe_pushes_at_branch': List({'action_id': Value('int64'), 'action_text': Value('string'), 'box_from': List(Value('int64')), 'box_to': List(Value('int64')), 'is_dead_corner': Value('bool'), 'is_expert': Value('bool'), 'states_expanded': Value('int64'), 'verdict': Value('string')}), 'seed': Value('int64'), 'selection_basis': Value('string'), 'source_pool': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
3-box Structural Branch
This is the exact 100-episode shard used by the finalized UWM Sokoban evaluations. Episode selection is model-independent; no checkpoint output or evaluation score was used to select an episode.
Evaluation contract
- suite:
sokoban_paper_final_v2_max40 - boxes: 3
- oracle/expert solution length: 6–20 actions, always ≤20
- model execution budget: 40 actions
- image quality: JPEG q95
- decoder:
perseg - rollout: full visual self-rollout
- action interface: move-only
- success: solved and final action is stop
- shard SHA-256:
7a712c84aa838957b7ba15a0eee2e70db63967d1728ae8911c4375ce1252c44d
Files
shard_00000.jsonl.gz: the 100 evaluation episodessuite_manifest.json: six-set provenance, hashes, contract, and pairwise-disjointness audit
Full model outputs are published in the paper trajectory collection under
table2/sokoban/3fork/ and table3/sokoban/3fork/.
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