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The dataset generation failed
Error code: DatasetGenerationError
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, rollout_capped: bool, stopped (... 123 chars omitted)
child 0, step: int64
child 1, reward: double
child 2, terminated: bool
child 3, truncated: bool
child 4, rollout_capped: bool
child 5, stopped: bool
child 6, solved: bool
child 7, success: bool
child 8, noise_start_step: int64
child 9, prefix_steps: int64
child 10, suffix_steps: int64
child 11, source_step: int64
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>
ch
...
g, row_index: int64, hash: string, init_state_hash: null, episode (... 8 chars omitted)
child 0, repo_id: string
child 1, path: string
child 2, row_index: int64
child 3, hash: string
child 4, init_state_hash: null
child 5, episode: int64
noisy_metadata: struct<pipeline: string, source_repo: string, source_path: string, source_row_index: int64, noise_st (... 454 chars omitted)
child 0, pipeline: string
child 1, source_repo: string
child 2, source_path: string
child 3, source_row_index: int64
child 4, noise_start_step: int64
child 5, partial_source_step: int64
child 6, boxes_on_target_at_noise_start: int64
child 7, num_boxes: int64
child 8, prefix_source: string
child 9, suffix_policy: string
child 10, random_stop_prob: double
child 11, suffix_seed: int64
child 12, image_prev_policy: string
child 13, final_image_next_policy: string
child 14, replay_env_kwargs: struct<action_mode: string, success_mode: string, dim_room: list<item: int64>, max_steps: int64, num (... 36 chars omitted)
child 0, action_mode: string
child 1, success_mode: string
child 2, dim_room: list<item: int64>
child 0, item: int64
child 3, max_steps: int64
child 4, num_boxes: int64
child 5, num_gen_steps: int64
child 15, prefix_replay_mismatches: list<item: null>
child 0, item: null
dataset_pipeline: string
generated_at: string
source_hash: string
noisy_trajectory_hash: string
extra_state: null
init_state_hash: string
to
{'task': Value('string'), 'env_id': Value('string'), 'env_kwargs': {'max_steps': Value('int64'), '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'), 'action_raw': Value('string')}), 'stats': {'step': Value('int64'), 'reward': Value('float64'), 'terminated': Value('bool'), 'truncated': Value('bool'), 'rollout_capped': Value('bool'), 'stopped': Value('bool'), 'solved': Value('bool'), 'success': Value('bool'), 'noise_start_step': Value('int64'), 'prefix_steps': Value('int64'), 'suffix_steps': Value('int64'), 'source_step': Value('int64')}, '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'), 'source_record': {'repo_id': Value('string'), 'path': Value('string'), 'row_index': Value('int64'), 'hash': Value('string'), 'init_state_hash': Value('string'), 'episode': Value('int64')}, 'noisy_metadata': {'pipeline': Value('string'), 'source_repo': Value('string'), 'source_path': Value('string'), 'source_row_index': Value('int64'), 'noise_start_step': Value('int64'), 'partial_source_step': Value('int64'), 'boxes_on_target_at_noise_start': Value('int64'), 'num_boxes': Value('int64'), 'prefix_source': Value('string'), 'suffix_policy': Value('string'), 'random_stop_prob': Value('float64'), 'suffix_seed': Value('int64'), 'image_prev_policy': Value('string'), 'final_image_next_policy': Value('string'), 'replay_env_kwargs': {'max_steps': Value('int64'), 'action_mode': Value('string'), 'success_mode': Value('string'), 'dim_room': List(Value('int64')), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64')}, 'prefix_replay_mismatches': List(Value('null'))}, 'dataset_pipeline': Value('string'), 'generated_at': Value('string'), 'source_hash': Value('string'), 'noisy_trajectory_hash': 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 "/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 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
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, rollout_capped: bool, stopped (... 123 chars omitted)
child 0, step: int64
child 1, reward: double
child 2, terminated: bool
child 3, truncated: bool
child 4, rollout_capped: bool
child 5, stopped: bool
child 6, solved: bool
child 7, success: bool
child 8, noise_start_step: int64
child 9, prefix_steps: int64
child 10, suffix_steps: int64
child 11, source_step: int64
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>
ch
...
g, row_index: int64, hash: string, init_state_hash: null, episode (... 8 chars omitted)
child 0, repo_id: string
child 1, path: string
child 2, row_index: int64
child 3, hash: string
child 4, init_state_hash: null
child 5, episode: int64
noisy_metadata: struct<pipeline: string, source_repo: string, source_path: string, source_row_index: int64, noise_st (... 454 chars omitted)
child 0, pipeline: string
child 1, source_repo: string
child 2, source_path: string
child 3, source_row_index: int64
child 4, noise_start_step: int64
child 5, partial_source_step: int64
child 6, boxes_on_target_at_noise_start: int64
child 7, num_boxes: int64
child 8, prefix_source: string
child 9, suffix_policy: string
child 10, random_stop_prob: double
child 11, suffix_seed: int64
child 12, image_prev_policy: string
child 13, final_image_next_policy: string
child 14, replay_env_kwargs: struct<action_mode: string, success_mode: string, dim_room: list<item: int64>, max_steps: int64, num (... 36 chars omitted)
child 0, action_mode: string
child 1, success_mode: string
child 2, dim_room: list<item: int64>
child 0, item: int64
child 3, max_steps: int64
child 4, num_boxes: int64
child 5, num_gen_steps: int64
child 15, prefix_replay_mismatches: list<item: null>
child 0, item: null
dataset_pipeline: string
generated_at: string
source_hash: string
noisy_trajectory_hash: string
extra_state: null
init_state_hash: string
to
{'task': Value('string'), 'env_id': Value('string'), 'env_kwargs': {'max_steps': Value('int64'), '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'), 'action_raw': Value('string')}), 'stats': {'step': Value('int64'), 'reward': Value('float64'), 'terminated': Value('bool'), 'truncated': Value('bool'), 'rollout_capped': Value('bool'), 'stopped': Value('bool'), 'solved': Value('bool'), 'success': Value('bool'), 'noise_start_step': Value('int64'), 'prefix_steps': Value('int64'), 'suffix_steps': Value('int64'), 'source_step': Value('int64')}, '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'), 'source_record': {'repo_id': Value('string'), 'path': Value('string'), 'row_index': Value('int64'), 'hash': Value('string'), 'init_state_hash': Value('string'), 'episode': Value('int64')}, 'noisy_metadata': {'pipeline': Value('string'), 'source_repo': Value('string'), 'source_path': Value('string'), 'source_row_index': Value('int64'), 'noise_start_step': Value('int64'), 'partial_source_step': Value('int64'), 'boxes_on_target_at_noise_start': Value('int64'), 'num_boxes': Value('int64'), 'prefix_source': Value('string'), 'suffix_policy': Value('string'), 'random_stop_prob': Value('float64'), 'suffix_seed': Value('int64'), 'image_prev_policy': Value('string'), 'final_image_next_policy': Value('string'), 'replay_env_kwargs': {'max_steps': Value('int64'), 'action_mode': Value('string'), 'success_mode': Value('string'), 'dim_room': List(Value('int64')), 'num_boxes': Value('int64'), 'num_gen_steps': Value('int64')}, 'prefix_replay_mismatches': List(Value('null'))}, 'dataset_pipeline': Value('string'), 'generated_at': Value('string'), 'source_hash': Value('string'), 'noisy_trajectory_hash': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
task string | env_id string | env_kwargs dict | seed int64 | episode_seed int64 | extra_state null | timestamp string | history list | stats dict | init_state dict | solve_kwargs dict | version string | episode int64 | init_state_hash string | split string | upstream_env_id string | action_schema_version string | source_dataset string | source_record dict | noisy_metadata dict | dataset_pipeline string | generated_at string | source_hash string | noisy_trajectory_hash string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,000 | null | 2026-04-13T23:32:16.588245 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":true,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 0 | 5f71b5b9c13210316fd0473605b746dd2600cd29973f773d88c209ba8b82f18b | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:29.545128 | 5f71b5b9c13210316fd0473605b746dd2600cd29973f773d88c209ba8b82f18b | f3ad6e5c7a5ac964bfb19c874d3f44f18f87a080aa11cb876a2d44fa1c037b05 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,001 | null | 2026-04-13T23:32:16.599427 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":5,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"stopped":true,"so(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 1 | f4ffad907e505717958a5959693a6f37e130eb8b50a7226e1a352a873eef8462 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:30.425731 | f4ffad907e505717958a5959693a6f37e130eb8b50a7226e1a352a873eef8462 | 6918bc5bcb4777ba9f86db5858cb2705f7790a6ec5fc014c3aaf57c6d394677b |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,002 | null | 2026-04-13T23:32:17.055771 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":11,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"stopped":true,"s(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 2 | 356f0a7870ecf089e3da56aedcfd8d40b8b242698ca91fb10dd2b57bee16711c | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:31.292891 | 356f0a7870ecf089e3da56aedcfd8d40b8b242698ca91fb10dd2b57bee16711c | 8c300feb8dc60b969b61ae026f58bcd7fbe1172ae6e672a3f9bebf9ef683fa76 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,003 | null | 2026-04-13T23:32:17.721986 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":19,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"stopped":true,"s(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 3 | c76d479f9ddb49fc4ab27868c586cfb4b81df970206e9cf35dd63d3b42eb2f34 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:32.765753 | c76d479f9ddb49fc4ab27868c586cfb4b81df970206e9cf35dd63d3b42eb2f34 | a430c8f2cc9e2bd3a8b8ac5a816a064718c8b5ee934c74ec6b52ef918c779f9c |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,004 | null | 2026-04-13T23:32:18.084048 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":15,"reward":0.0,"terminated":true,"truncated":false,"rollout_capped":false,"stopped":true,"s(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 4 | 20564a051a3baf5fc346d33c80362e752ff4d61d2337d2514db92ec543bb83c8 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:33.775470 | 20564a051a3baf5fc346d33c80362e752ff4d61d2337d2514db92ec543bb83c8 | 55b146bc28a24f56e449d0cfeefc6c7701491bbefc9b0973bd66acdf113a20ba |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,005 | null | 2026-04-13T23:32:18.316911 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":19,"reward":1.0,"terminated":true,"truncated":false,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 5 | 4ae78124259f0fc8891248463ae2cc01aa170987334f6e49054c5fca4034c903 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:34.912204 | 4ae78124259f0fc8891248463ae2cc01aa170987334f6e49054c5fca4034c903 | 16f2e6e1f943e8b9ef590de6190f402f538d4667788c242bc9348c895a8fb1f0 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,007 | null | 2026-04-13T23:32:19.325019 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":true,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 6 | 8a642d8d3635e2eccf462bdb7d988c235c9a5f57656936a39f8aa8fbd221a41b | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:36.634796 | 8a642d8d3635e2eccf462bdb7d988c235c9a5f57656936a39f8aa8fbd221a41b | a50fac49db73e730f04e01c4bd3f959d88b614aaceee1d57bb5e8aef619fbd98 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,008 | null | 2026-04-13T23:32:19.447451 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":true,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 7 | bb0e1d8d3c060e6db730f6522e76015cdf4400524351164da400a20ea5777af1 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:38.006415 | bb0e1d8d3c060e6db730f6522e76015cdf4400524351164da400a20ea5777af1 | 21f5ccd8f56e6caf62b48e483ba9ca68c702a1a76ad7ddee0489db7aca765d59 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,009 | null | 2026-04-13T23:32:19.469483 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":true,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 8 | 7f4358177c03219131a6c9b06f0f45a3e193c57340123ee2cddbb56c66a9b4be | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:39.529003 | 7f4358177c03219131a6c9b06f0f45a3e193c57340123ee2cddbb56c66a9b4be | b1c4f5ab589e17a5d3ed76baf55e847435b2f5836d7ac15ad6a4be7eded73f85 |
sokoban_easy | sokoban/easy | {
"max_steps": 20,
"action_mode": "move_only"
} | 900,000 | 900,010 | null | 2026-04-13T23:32:19.586958 | [{"step":0,"prompt":"You are playing Sokoban, a box-pushing puzzle. Your job is to control the green(...TRUNCATED) | {"step":20,"reward":0.0,"terminated":false,"truncated":true,"rollout_capped":false,"stopped":false,"(...TRUNCATED) | {"difficulty":"easy","dim_room":[7,7],"max_steps":20,"num_boxes":2,"num_gen_steps":21,"room_fixed":[(...TRUNCATED) | {
"strategy": "bfs"
} | visgym_repo_solver_v1+sokoban_move_only_v2+noisy_v1 | 9 | f9f954a2bfe5afeb16932e2f058fbe5efcc0fd2205a5ed70218e0942353bc497 | train | Sokoban-small-v0 | sokoban_move_only_v2 | novastar111/sokoban_v3 | {"repo_id":"novastar111/s_v5_move_only_remap_prev","path":"trajectories/sokoban_easy/train/batch_000(...TRUNCATED) | {"pipeline":"sokoban_success_prefix_then_random_noisy_v1","source_repo":"novastar111/s_v5_move_only_(...TRUNCATED) | sokoban_success_prefix_then_random_noisy_v1 | 2026-04-29T01:48:41.222500 | f9f954a2bfe5afeb16932e2f058fbe5efcc0fd2205a5ed70218e0942353bc497 | 1c786c413505899d4c811ddfc9a003212f8e324727fef96e9e90fb5546d3654d |
End of preview.
Sokoban s_v5 Move-Only Noisy World-Model Trajectories
This dataset is derived from https://huggingface.co/datasets/novastar111/s_v5_move_only_remap_prev.
Each record replays a successful Sokoban move-only trajectory until the earliest
partial-success stage, where at least one box is on target but not all boxes are
solved. From the following step onward, actions are sampled from a random
move-only policy with random ('stop', 'stop') actions.
The output keeps the source trajectories/<task>/<split>/batch_*.jsonl layout,
but stores generated shards as .jsonl.gz.
Image compatibility policy:
- every step has
image_prev == image - the final step has
image_next == image
Target Hub repo: https://huggingface.co/datasets/novastar112/s_v5_move_only_remap_prev_noisy
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