rongxinzy/LightJev-0.6B-v0.1
0.6B • Updated • 7
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<checkpoint_sha256: string, model: string, normalization_applied: bool, policy_probs: struct<left: double, noop: double, right: double, shoot: double>, policy_probs_raw: struct<left: double, noop: double, right: double, shoot: double>, raw_probability_sum: double, revision: string, action_order: list<item: string>, adapter_sha256: string, aim_assistance: bool, cfg_sha256: string, config_sha256: string, device: string, engine: string, env_steps: int64, input: string, numeric_allowlist: list<item: string>, parameter_count: int64, precision: string, raw_state_tensor_sha256: struct<action_parameterization.distribution_linear.bias: string, action_parameterization.distribution_linear.weight: string, core.core.bias_hh_l0: string, core.core.bias_ih_l0: string, core.core.weight_hh_l0: string, core.core.weight_ih_l0: string, critic_linear.bias: string, critic_linear.weight: string, encoder.basic_encoder.enc.conv_head.0.bias: string, encoder.basic_encoder.enc.conv_head.0.weight: string, encoder.basic_encoder.enc.conv_head.2.bias: string, encoder.basic_encoder.enc.conv_head.2.weight: string, encoder.basic_encoder.enc.conv_head.4.bias: string, encoder.basic_encoder.enc.conv_head.4.weight: string, encoder.basic_encoder.enc.mlp_layers.0.bias: string, encoder.basic_encoder.enc.mlp_layers.0.weight: string, obs_normalizer.running_mean_std.running_mean_std.img.count: string, obs_normalizer.running_mean_std.running_mean_std.img.running_mean: string, obs_normalizer.running_mean_std.running_mean_std.img.running_var: string, obs_normalizer.running_mean_std.running_mean_std.sound.count: string, obs_normalizer.running_mean_std.running_mean_std.sound.running_mean: string, obs_normalizer.running_mean_std.running_mean_std.sound.running_var: string, returns_normalizer.count: string, returns_normalizer.running_mean: string, returns_normalizer.running_var: string>, reported_training_reward: double, rnn: string, sound_encoder: bool, source_commit: string, state_tensors: int64, strict_state_load: bool, train_step: int64, weights_only: bool>
to
{'checkpoint_sha256': Value('string'), 'model': Value('string'), 'normalization_applied': Value('bool'), 'policy_probs': {'left': Value('float64'), 'noop': Value('float64'), 'right': Value('float64'), 'shoot': Value('float64')}, 'policy_probs_raw': {'left': Value('float64'), 'noop': Value('float64'), 'right': Value('float64'), 'shoot': Value('float64')}, 'raw_probability_sum': Value('float64'), 'revision': Value('string')}
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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<checkpoint_sha256: string, model: string, normalization_applied: bool, policy_probs: struct<left: double, noop: double, right: double, shoot: double>, policy_probs_raw: struct<left: double, noop: double, right: double, shoot: double>, raw_probability_sum: double, revision: string, action_order: list<item: string>, adapter_sha256: string, aim_assistance: bool, cfg_sha256: string, config_sha256: string, device: string, engine: string, env_steps: int64, input: string, numeric_allowlist: list<item: string>, parameter_count: int64, precision: string, raw_state_tensor_sha256: struct<action_parameterization.distribution_linear.bias: string, action_parameterization.distribution_linear.weight: string, core.core.bias_hh_l0: string, core.core.bias_ih_l0: string, core.core.weight_hh_l0: string, core.core.weight_ih_l0: string, critic_linear.bias: string, critic_linear.weight: string, encoder.basic_encoder.enc.conv_head.0.bias: string, encoder.basic_encoder.enc.conv_head.0.weight: string, encoder.basic_encoder.enc.conv_head.2.bias: string, encoder.basic_encoder.enc.conv_head.2.weight: string, encoder.basic_encoder.enc.conv_head.4.bias: string, encoder.basic_encoder.enc.conv_head.4.weight: string, encoder.basic_encoder.enc.mlp_layers.0.bias: string, encoder.basic_encoder.enc.mlp_layers.0.weight: string, obs_normalizer.running_mean_std.running_mean_std.img.count: string, obs_normalizer.running_mean_std.running_mean_std.img.running_mean: string, obs_normalizer.running_mean_std.running_mean_std.img.running_var: string, obs_normalizer.running_mean_std.running_mean_std.sound.count: string, obs_normalizer.running_mean_std.running_mean_std.sound.running_mean: string, obs_normalizer.running_mean_std.running_mean_std.sound.running_var: string, returns_normalizer.count: string, returns_normalizer.running_mean: string, returns_normalizer.running_var: string>, reported_training_reward: double, rnn: string, sound_encoder: bool, source_commit: string, state_tensors: int64, strict_state_load: bool, train_step: int64, weights_only: bool>
to
{'checkpoint_sha256': Value('string'), 'model': Value('string'), 'normalization_applied': Value('bool'), 'policy_probs': {'left': Value('float64'), 'noop': Value('float64'), 'right': Value('float64'), 'shoot': Value('float64')}, 'policy_probs_raw': {'left': Value('float64'), 'noop': Value('float64'), 'right': Value('float64'), 'shoot': Value('float64')}, 'raw_probability_sum': Value('float64'), 'revision': Value('string')}
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 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.
family_id string | id string | metadata unknown | questions dict | split string | state string | state_id string | teacher dict | expert dict | gold dict | gold_label_kind dict |
|---|---|---|---|---|---|---|---|---|---|---|
unified_maze | ec068d2f9418712d21428017f0adb761ef99477c7849bda41293acb498202368 | {
"conditioned_action": "west",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 0,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "west",
"public_observation_sha256": "873935ac5b9a88f67af40d22b3af996d22065f9156... | {
"action": {
"criteria": {
"east": "Attempt one cell east to [1,6]; this direction has not been tried here.",
"north": "Attempt one cell north to [0,5]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,5]; this direction has not been tried here.",
"west": "... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 0. Remaining: 32. Outcome: in_progress.
Agent coordinate: (1,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A##
#####
...... | 88f492358d65add8aee89ad35a02242349b943ecff2341191c215c21af067179 | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"east": 0.03,
"north": 0.03,
"south": 0.24,
"west": 0.7000000000000001
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000001"
} | null | null | null |
unified_maze | 6568cb22fab794e1690dfd5264afe3a6905eaf015625778cecd3d20afede385a | {
"conditioned_action": "west",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 1,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "west",
"public_observation_sha256": "822d8001f7fde1630ff58da63f8b4383905608e70a... | {
"action": {
"criteria": {
"north": "Attempt one cell north to [0,4]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,4]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,3]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 1. Remaining: 31. Outcome: in_progress.
Agent coordinate: (1,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A.#
#####
#..... | 2c6c2e92da53233f075ebf21c4bfe6b4e91ad21bf329c43678db48d13ea80dac | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.1,
"south": 0.39,
"west": 0.51
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000017"
} | null | null | null |
unified_maze | cf85cdcb53726dc8dfbecd07b0c431be58106c5a8ed28f7b870d0eb891e04b28 | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 2,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "north",
"public_observation_sha256": "0b1f6a3deb739b8cb6ec139f6ea59f485174f715... | {
"action": {
"criteria": {
"north": "Attempt one cell north to [0,3]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,3]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,2]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 2. Remaining: 30. Outcome: in_progress.
Agent coordinate: (1,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A..
.####
.#.... | f983a1b1b74dd0685a0d6956873723c1749cfd43616baeed4ef04c508b69f856 | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.07,
"south": 0.53,
"west": 0.4
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000033"
} | null | null | null |
unified_maze | 7813b4dd5abaa28660d6f6210bedd92c4fe541ebac69e0bffdaa3836b5a0841b | {
"conditioned_action": "west",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 3,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "west",
"public_observation_sha256": "5295dbaed2d89b9fa6aa24d2dae6435866ce2ae18f... | {
"action": {
"criteria": {
"south": "Attempt one cell south to [2,3]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,2]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 3. Remaining: 29. Outcome: in_progress.
Agent coordinate: (1,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A..
.####
.#.... | f117c40b4e9e5e676da81e0f60d5a8e49b6c6868862be6e5c6513cde186178ec | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"south": 0.47000000000000003,
"west": 0.53
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000049"
} | null | null | null |
unified_maze | fd3b28c5a967024b637c9628b82b09f979dee9bde783f6ac2ab58d375389bc79 | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 4,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "north",
"public_observation_sha256": "8b1e85874c163e721e4edc0357b27b7b8bb60df2... | {
"action": {
"criteria": {
"north": "Attempt one cell north to [0,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,2]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,1]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 4. Remaining: 28. Outcome: in_progress.
Agent coordinate: (1,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
#.A..
#.###
#.#... | 8b4c0dc2b7fdbaf1d8b928fc7c068bb2d14b4d462f350c259fa9850d2e6f9288 | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.08,
"south": 0.6900000000000001,
"west": 0.23
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000064"
} | null | null | null |
unified_maze | 1a830ff00ef0c4eabebd96afc46878eb86608d5437138bfe107cdfb28a3f130b | {
"conditioned_action": "south",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 5,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "south",
"public_observation_sha256": "88b59bffc6de13d65dcbfee233091fb46456a4c0... | {
"action": {
"criteria": {
"south": "Attempt one cell south to [2,2]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,1]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 5. Remaining: 27. Outcome: in_progress.
Agent coordinate: (1,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
#.A..
#.###
#.#... | 5205911c562837218342b97318e8e59267ab440ba3c559ab1725959d777aa253 | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"south": 0.65,
"west": 0.35000000000000003
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000080"
} | null | null | null |
unified_maze | 13931e68704022e5fad273546876673b8c16a6e8f1b6d9f6596698e9ac697a75 | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 7,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "north",
"public_observation_sha256": "92a693c2b6e2c847ed328c77af55a742681833b3... | {
"action": {
"criteria": {
"north": "Attempt one cell north to [0,1]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,0]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 7. Remaining: 25. Outcome: in_progress.
Agent coordinate: (1,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
X####
X#A..
X#.##
X#.... | e9ec4a0e2af2043f156d7e51ac582d3283fa5d5d74c4028d6ca821b0b065ac0f | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.12,
"south": 0.75,
"west": 0.13
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000103"
} | null | null | null |
unified_maze | c4a34c54c7e409bf104230a41f3a7c26af9adb8b003f9a1b07e496dee9a21bf0 | {
"conditioned_action": "east",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 9,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "east",
"public_observation_sha256": "2d96291d267bc829afb9869d324bedbee50cb39b08... | {
"action": {
"criteria": {
"east": "Attempt one cell east to [2,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [3,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [2,0]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 9. Remaining: 23. Outcome: in_progress.
Agent coordinate: (2,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
X####
X#...
X#A##
X#.#.
X#.... | 07a11f18be8e709b1c847fe27d4b87755f8ee8a3a80243916e3b9bc9172732c7 | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"east": 0.63,
"south": 0.32,
"west": 0.05
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000134"
} | null | null | null |
unified_maze | 49ffd6b38a275c90060e19a602b622d2f367de56ccad5c42e6792e8137dff0d4 | {
"conditioned_action": "west",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 10,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "west",
"public_observation_sha256": "8cd8bdbfbd0193707b2b18883db4edbd74553b4dd... | {
"action": {
"criteria": {
"south": "Attempt one cell south to [3,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [2,0]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 10. Remaining: 22. Outcome: in_progress.
Agent coordinate: (2,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
X####
X#...
X#A##
X#.#.
X#... | 87f599c0c4c0648b33bbeb031994e6d305640140351afafbc444e96ef46720bd | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"south": 0.8300000000000001,
"west": 0.17
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000149"
} | null | null | null |
unified_maze | 4edac727539a38f51dbf6eb0add9b1c832aa1e86cf3b555ecc90060d29a3f863 | {
"conditioned_action": "east",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 12,
"episode_id": "train-maze8-8000",
"episode_success": false,
"executed_action": "east",
"public_observation_sha256": "a78c4a9f40aba5fc72f5a6bd610f290ebbd0ca0e5... | {
"action": {
"criteria": {
"east": "Attempt one cell east to [3,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [4,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,0]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 12. Remaining: 20. Outcome: in_progress.
Agent coordinate: (3,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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unified_maze | d5c0538799eb4936db12d1c3b13aeb16c2a5142a46dc637f0a8416fbd80e329d | {
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Agent coordinate: (3,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
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} | null | null | null |
unified_maze | 2831549ebe1d1ff626ce69c13d6fe95a56f676de87dc8a2fee654ed11ee84007 | {
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"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 14. Remaining: 18. Outcome: in_progress.
Agent coordinate: (4,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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},
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},
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} | null | null | null |
unified_maze | a3f168c889eb87a202d86935cc35ed70c4d548515687b1278623916c90132a30 | {
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Agent coordinate: (4,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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},
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},
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} | null | null | null |
unified_maze | 15dff35ef2d43f42d2d9cecb5fe1ae61591fcc3d809b3f12516f46a7a1482969 | {
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"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 17. Remaining: 15. Outcome: in_progress.
Agent coordinate: (5,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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},
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},
"source_api_call_id": "nanojev-live-000248"
} | null | null | null |
unified_maze | 98b14033230b1fd4040c01fde4d25c37f42027eeffc2af28b5944bba36e05095 | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ta... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 18. Remaining: 14. Outcome: in_progress.
Agent coordinate: (5,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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X#... | ee73480805c352bed59b31df11d2e24e695f4a74d6d5282b648a9b988652c5f2 | {
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},
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},
"source_api_call_id": "nanojev-live-000261"
} | null | null | null |
unified_maze | 4e43325774a7a3a630c34d2ec87a8dad1d2093c073a49abd2f9bb410f93713c5 | {
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},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 19. Remaining: 13. Outcome: in_progress.
Agent coordinate: (5,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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##... | 55132c4acb3cd5fbd9b98c7ce4dca4bafce634cf8b4ac09cbdedab7815476dbe | {
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},
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},
"source_api_call_id": "nanojev-live-000275"
} | null | null | null |
unified_maze | 7e34871edb3458e992efeabcceb662b1c58cabfdd59d03b29ce2dedef3eb3872 | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 20. Remaining: 12. Outcome: in_progress.
Agent coordinate: (5,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
##... | fbf2fa6ce3d3d14a3966d88b6cd4d5424d691e000a3c3ece9dabc66a87eab4cf | {
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},
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},
"source_api_call_id": "nanojev-live-000286"
} | null | null | null |
unified_maze | b03611230139abe52eb742a435983ca3af1479dd35df73b3b71888ce77e933dd | {
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"south": "Attempt one cell south to [6,3]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 22. Remaining: 10. Outcome: in_progress.
Agent coordinate: (5,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
##... | f7150c8c52a74c64a2f2a7c64f6700d9cf97b2a2254c08d438c2de95817d3766 | {
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},
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},
"source_api_call_id": "nanojev-live-000307"
} | null | null | null |
unified_maze | d6170fb2c14f0f606983b1bb073357f6cde23772c5770fb2970a5aa23ad44f84 | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 23. Remaining: 9. Outcome: in_progress.
Agent coordinate: (5,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
###... | 1560bef05648bb5023c65c26b7110c0b08cfb0e4449128d60f73fe4022616bad | {
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},
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},
"source_api_call_id": "nanojev-live-000316"
} | null | null | null |
unified_maze | 744e070f01cc9333724ea92d8e5fc2b2d6d28ee7243a10fe7a1ef14ee61c4842 | {
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"south": "Attempt one cell south to [6,4]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 24. Remaining: 8. Outcome: in_progress.
Agent coordinate: (5,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
###... | dd609594a9378cc8c62c1f9dc89e54a374f8dc3f3b0d8ecc27c04674de992edd | {
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},
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},
"source_api_call_id": "nanojev-live-000325"
} | null | null | null |
unified_maze | 4e1cafaf38a978098fc7f1dd88d1bb2978c033627b196804f96a4acf8f854cc5 | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 25. Remaining: 7. Outcome: in_progress.
Agent coordinate: (5,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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###.#
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#####
###... | 29b231f01325bbe5bdfe9c75474812e6e73955610c8c843cd96cc26dfe33c967 | {
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},
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},
"source_api_call_id": "nanojev-live-000333"
} | null | null | null |
unified_maze | 47fc65fb72f46d8ab59e3cfdf5666288dee8e25a7f28840b6f22f12b2c01cb5d | {
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"west": "Attempt one cell west to [4,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 28. Remaining: 4. Outcome: in_progress.
Agent coordinate: (4,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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###... | 4a914fccbc6a28d663dc1d088c450ce3f38af74f147b16f32266852fe754751b | {
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},
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},
"source_api_call_id": "nanojev-live-000351"
} | null | null | null |
unified_maze | 6f05da56d9b4b48c9661cd1f9183bb8115a85308098ab79a5c062a54f19f9d8f | {
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"north": "Attempt one cell north to [2,5]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [3,3] within 32 physical attempts. Used: 30. Remaining: 2. Outcome: in_progress.
Agent coordinate: (3,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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...... | 89087371b47968b69e1ec887c1753f0ac3f285e38d6831c4d6dee80817f832ad | {
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},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000355"
} | null | null | null |
unified_maze | ae0ab2a0441523cb00891d7ff1a3af4c5035b3708b45c44d095fc623f90e1954 | {
"conditioned_action": "north",
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"public_observation_sha256": "4c67e599def3a95855ab749ccfbef3a36a08211c... | {
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"north": "Attempt one cell north to [0,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,2]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 1. Remaining: 31. Outcome: in_progress.
Agent coordinate: (1,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
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#####
#..... | cf78fc0fa92d1dd928b54bee030784ea5256def3aeee97d6e005f6110594dfed | {
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},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000018"
} | null | null | null |
unified_maze | b8b7fea87f2f276ef0ef8abc7266a54264730b0a80c3fb626973db8dcf37d02d | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 2. Remaining: 30. Outcome: in_progress.
Agent coordinate: (1,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
#.A..
#####
#..... | 45d5dbf494e0ee317117bb3a4dd207c56ddedcd6dc2c51b857043e36cd07e62f | {
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}
},
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},
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} | null | null | null |
unified_maze | 541b75896c77f75200923667b1fb0a89a655774fff7c44a1776c82e3ad596f77 | {
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"north": "Attempt one cell north to [0,3]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,3]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 3. Remaining: 29. Outcome: in_progress.
Agent coordinate: (1,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A..
####.
...... | ee3e119c1acb0bc838c85018c84a1b6cf6f3eeb0a1ea4c6391cd52b7bec9ec4b | {
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}
},
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},
"source_api_call_id": "nanojev-live-000050"
} | null | null | null |
unified_maze | bac3b860f0d3594594a61fd9a13105ec1421a585e3632c31b1da5cb3a552a0ed | {
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},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 4. Remaining: 28. Outcome: in_progress.
Agent coordinate: (1,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A..
####.
...... | 5a2c9ff817c17ed5fd39b3371233a8faa8ed48a6e1f9821fbb2b1fdf399f91f5 | {
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},
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},
"source_api_call_id": "nanojev-live-000065"
} | null | null | null |
unified_maze | d4848bb1dc1edecac393f2225e72aed11610e056612f7bf149d15f903cb9ec99 | {
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},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 5. Remaining: 27. Outcome: in_progress.
Agent coordinate: (1,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A.#
###.#
...... | f7a5a948181c99dc46fc57582231d2452e60d3641f0d54dd13bede03e31ed200 | {
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000081"
} | null | null | null |
unified_maze | e1bd214cf6eca00f812c4724b555b3d0d91942e129e1c1f79c7f06f394205003 | {
"conditioned_action": "east",
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"north": "Attempt one cell north to [0,4]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 6. Remaining: 26. Outcome: in_progress.
Agent coordinate: (1,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A.#
###.#
...... | 61e83f79717d9a7de91234248303910d34b1cb91d501e115641e323300b6cfdc | {
"model": "typesafe-ai/jev",
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000093"
} | null | null | null |
unified_maze | cd5db8b2476e7e5f71b36a40d1ae18a495a1309ab664d00e9e4578ca189e09f3 | {
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"north": "Attempt one cell north to [0,5]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,5]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 7. Remaining: 25. Outcome: in_progress.
Agent coordinate: (1,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
XXXXX
#####
..A##
##.##
...... | e1c1ad2dd72e49c9fd95d405547d3cb8644eb94dddf70cbf4c842e896ae88ddb | {
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000104"
} | null | null | null |
unified_maze | e7a9d708b7ebb71d48a02e054b10ae249f2adcb5438ff4ccc9b7382fd489b03a | {
"conditioned_action": "west",
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"south": "Attempt one cell south to [3,5]; this direction has not been tried here.",
"west": "Attempt one cell west to [2,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 8. Remaining: 24. Outcome: in_progress.
Agent coordinate: (2,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
#####
...##
##A##
...##
##.... | 0bf50270cbe08ea403237440579c1c23e8efc17dbc35f5cb3768bf208e8f37b7 | {
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"south": 0.32,
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000119"
} | null | null | null |
unified_maze | dce68dbde4fc949994e9aa2235ac85168b6efd269c22789cff27683dd02be3ad | {
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"south": "Attempt one cell south to [3,5]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 9. Remaining: 23. Outcome: in_progress.
Agent coordinate: (2,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
#####
...##
##A##
...##
##.... | a763560db6c26c8f01d57b852e5a0e0a08a4abd795c28b9dfe4e008cb37ad155 | {
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000135"
} | null | null | null |
unified_maze | 95f4d0e34e74cf8ec25a153dc667c0e14e7302e70aeb4011949d4861ad452ddb | {
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"south": "Attempt one cell south to [4,5]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 10. Remaining: 22. Outcome: in_progress.
Agent coordinate: (3,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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##.##
..A##
##.##
..... | 155d463ad72223cea01fda8ee3a9d1b95d8359db18ec9bcd8cc3f445aca43381 | {
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000150"
} | null | null | null |
unified_maze | 045eb0ca82fd7a632c4713a9d585d926e62920416e98d146255d8427233d6def | {
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"south": "Attempt one cell south to [4,4]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,3]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 11. Remaining: 21. Outcome: in_progress.
Agent coordinate: (3,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
....#
###.#
..A.#
###.#
..... | acb38c75d37941718edd9fc12e75bbd884e924b4caa450fc7148c9e29f7c7ed9 | {
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"south": 0.24,
"west": 0.35000000000000003
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000164"
} | null | null | null |
unified_maze | 0bf7f18e6dc830d08264272dbbe7142952ba59bb8c1c8b966c892f84c5021302 | {
"conditioned_action": "west",
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"action": {
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"west": "Attempt one cell west to [3,3]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 12. Remaining: 20. Outcome: in_progress.
Agent coordinate: (3,4); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
....#
###.#
..A.#
###.#
..... | f6ddecae77e2894ebba81a4c5ca4955fa677b1235f008479a9f4861d5a691706 | {
"model": "typesafe-ai/jev",
"native_probs": {
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"west": 0.53
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000179"
} | null | null | null |
unified_maze | a46f89719e60fd9ff48bf021ddc138d27045f8e5091fce1a93565b3e173bc62f | {
"conditioned_action": "west",
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"south": "Attempt one cell south to [4,3]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,2]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 13. Remaining: 19. Outcome: in_progress.
Agent coordinate: (3,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
.....
####.
..A..
####.
..... | c682aea524ef1779bbfb2858a89af349a069f6a6cf030e695eeb34a30baeaea1 | {
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"south": 0.22,
"west": 0.44
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000194"
} | null | null | null |
unified_maze | 146afb13160f30ea7a7512cc2daf0381055dede339c57d36a31aff9e3b3eef86 | {
"conditioned_action": "west",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
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"action": {
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"south": "Attempt one cell south to [4,2]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,1]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 14. Remaining: 18. Outcome: in_progress.
Agent coordinate: (3,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
#....
#####
#.A..
#####
#.... | 8abc9e65bd4361848e2c527f351724782099fc0ce5a1c6ac2735b71ba747bd7f | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.34,
"south": 0.1,
"west": 0.56
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000209"
} | null | null | null |
unified_maze | 2e9f3f41b3cc6062afd14a96f8179658e25845b507cd23dd278b05b6afb3161f | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
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"episode_id": "train-maze8-8001",
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"executed_action": "north",
"public_observation_sha256": "2d06d60d14eeb3c6a37760d7c82d9e910d648d6... | {
"action": {
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"north": "Attempt one cell north to [2,1]; this direction has not been tried here.",
"south": "Attempt one cell south to [4,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,0]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 15. Remaining: 17. Outcome: in_progress.
Agent coordinate: (3,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
X#...
X####
X#A..
X####
X#... | f5d67ad3bba2256b9064ee1442fa4a18dfb9ca8cb8a4e86fbecb60f363cb82bc | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"north": 0.64,
"south": 0.2,
"west": 0.16
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000223"
} | null | null | null |
unified_maze | 01f2a3b76d847ef3528be3d7ce0ef48d21ee6686b7ac45b826c520a26ede6ac7 | {
"conditioned_action": "south",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 16,
"episode_id": "train-maze8-8001",
"episode_success": false,
"executed_action": "south",
"public_observation_sha256": "f4495342d804ad042892c25e619c69abc4b7216... | {
"action": {
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"south": "Attempt one cell south to [4,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,0]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 16. Remaining: 16. Outcome: in_progress.
Agent coordinate: (3,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
X#...
X####
X#A..
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X#... | 137fef00cf68cb3db24310653c3f330e9ee62f46bea1f3ddf5c3ddfa769bfe8b | {
"model": "typesafe-ai/jev",
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}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000234"
} | null | null | null |
unified_maze | b76e65906036edbcee8e715c067c6f2aac6cdde4c351e4424fcfa59ead121209 | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
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"south": "Attempt one cell south to [4,2]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the state... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 19. Remaining: 13. Outcome: in_progress.
Agent coordinate: (3,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#.... | f0015b9bf8571b5da2e59c3686fd646795ad2e9410c0e1aec33a5ed6a833ecc1 | {
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}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000262"
} | null | null | null |
unified_maze | eb9caed4f7ce841434acdebd02134f0f1a77f473ce5f9b09c865eb06e73f6cba | {
"conditioned_action": "north",
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"executed_action": "north",
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"south": "Attempt one cell south to [4,3]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the state... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 22. Remaining: 10. Outcome: in_progress.
Agent coordinate: (3,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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"model": "typesafe-ai/jev",
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}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000287"
} | null | null | null |
unified_maze | 9528219723c0aba57c77c4146fc312601606b1d80f6a9d2b997ebc1f69c0984e | {
"conditioned_action": "west",
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"south": "Attempt one cell south to [5,5]; this direction has not been tried here.",
"west": "Attempt one cell west to [4,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 28. Remaining: 4. Outcome: in_progress.
Agent coordinate: (4,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000326"
} | null | null | null |
unified_maze | ae9be1829c4db06672be04dfa580c1d71b4289627b9332fbf87d70ad20ea7de6 | {
"conditioned_action": "east",
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"south": "Attempt one cell south to [5,5]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 29. Remaining: 3. Outcome: in_progress.
Agent coordinate: (4,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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###... | 4be0fbd386077283122379a8b1a073ed7082f8b16874758d2894473bcf25c542 | {
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000334"
} | null | null | null |
unified_maze | 8caedf442bea051b3ca1783596c8996781ed162df9af91a7a9e4c7699507e627 | {
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"south": "Attempt one cell south to [6,5]; this direction has not been tried here.",
"west": "Attempt one cell west to [5,4]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 31. Remaining: 1. Outcome: in_progress.
Agent coordinate: (5,5); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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###... | c55f8ade01ec06173f147cbdb4ab6948d6e56a9d34bfa5900f0db89a8103a64b | {
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000347"
} | null | null | null |
unified_maze | 78cfa4ab41ee5dfe2d21c3f88538f3c2e9899eb71eaafc9487f23ec8dcc0753d | {
"conditioned_action": "east",
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"north": "Attempt one cell north to [0,1]; this direction has not been tried here.",
"south": "Attempt one cell south to [2,1]; this direction has not been tried here.",
"west": "... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 0. Remaining: 32. Outcome: in_progress.
Agent coordinate: (1,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000003"
} | null | null | null |
unified_maze | d397a6ffd6c195bdaea487816661db859e32c1b1eab63b0925109e0da10e778c | {
"conditioned_action": "south",
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"south": "Attempt one cell south to [2,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [1,0]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 1. Remaining: 31. Outcome: in_progress.
Agent coordinate: (1,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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X#.... | 4a549ba86841e810d1124e609cd0c077a32e3f91f8a3ff72999c8fa21a6e4c4e | {
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000019"
} | null | null | null |
unified_maze | 94ea5aca6ff9ceff1613da645eb063351d6e0c843907222b822360f9e84914c2 | {
"conditioned_action": "south",
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"executed_action": "south",
"public_observation_sha256": "564922f22e3398f1ed3fb2f7ca644802861262a9f... | {
"action": {
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"west": "Attempt one cell west to [2,0]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 3. Remaining: 29. Outcome: in_progress.
Agent coordinate: (2,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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X##... | 5bf73ff48a365df8ccc870b4e596a25b960613c212a54f825679bfce070f9507 | {
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000051"
} | null | null | null |
unified_maze | d3e32ef69a083803794b9b229be7dfc6d47b9977365a513374ebc0c22ccd24d3 | {
"conditioned_action": "east",
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"episode_success": true,
"executed_action": "east",
"public_observation_sha256": "3888024c3999c8229e1dbb7f87865433433f011bed1... | {
"action": {
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"east": "Attempt one cell east to [3,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [4,1]; this direction has not been tried here.",
"west": "Attempt one cell west to [3,0]; this direction has not been tried here."
},
"instru... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 4. Remaining: 28. Outcome: in_progress.
Agent coordinate: (3,1); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
X#.#.
X#.#.
X#A..
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X#.... | c98861e46c302e0c47207cfc8ca5c26425cd5753900de29f7d5837e49e854a4e | {
"model": "typesafe-ai/jev",
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}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000066"
} | null | null | null |
unified_maze | 3c4a2a14d918fdb2eadbb543a7c6541c40265b45f66bdcc05e030c93e57a40ef | {
"conditioned_action": "south",
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"episode_success": true,
"executed_action": "south",
"public_observation_sha256": "85ca916b2f8c73c0ac1b087e922800f0d0030ba24... | {
"action": {
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"north": "Attempt one cell north to [2,2]; this direction has not been tried here.",
"south": "Attempt one cell south to [4,2]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 5. Remaining: 27. Outcome: in_progress.
Agent coordinate: (3,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
#..... | a43e2df3b42adf69adc5b28846efc368f9391b42af0a68ebde881de54bf1aa23 | {
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}
},
"rounding": {
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"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000082"
} | null | null | null |
unified_maze | da814b68437c47eab64b938a0fc4db59ccc22df9c5eb8d073fdfd2465558a8c1 | {
"conditioned_action": "north",
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"executed_action": "north",
"public_observation_sha256": "caaccb0437e1519d08f676d3a98202bd911495f4a... | {
"action": {
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"north": "Attempt one cell north to [2,2]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 6. Remaining: 26. Outcome: in_progress.
Agent coordinate: (3,2); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
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#####
#..... | bec51c732d827184803f6c1ce3eb40a31ac20d3c2ff7c7172836fcc68c31ff22 | {
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}
},
"rounding": {
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},
"source_api_call_id": "nanojev-live-000094"
} | null | null | null |
unified_maze | df048b404b91be06874f1cbefed65f3895da1ba15c3215728f3ea7ce5618fcf0 | {
"conditioned_action": "south",
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"episode_success": true,
"executed_action": "south",
"public_observation_sha256": "8949ac74a9ec1969b08a7af2c0ae44e850ea7417d... | {
"action": {
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"north": "Attempt one cell north to [2,3]; this direction has not been tried here.",
"south": "Attempt one cell south to [4,3]; this direction has not been tried here."
},
"inst... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 8. Remaining: 24. Outcome: in_progress.
Agent coordinate: (3,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
.#...
.#.#.
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####.
...... | 23a1736e966629bb7bb37527dc6f918fed0ebedbc930d259a927a54a378caa33 | {
"model": "typesafe-ai/jev",
"native_probs": {
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"north": 0.38,
"south": 0.45
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000120"
} | null | null | null |
unified_maze | 30f78c9ce30675c64582f5ee7ae2f70a68e6cd6c60ba8fb23879a18659a3eec1 | {
"conditioned_action": "north",
"continuation_policy_id": "a3feb71a222fe06e13ebefbe89dcd6bce22cddf8bf5f9e02c02555de059cb2c5",
"decision_index": 9,
"episode_id": "train-maze8-8002",
"episode_success": true,
"executed_action": "north",
"public_observation_sha256": "af53ffc78233a3d21c1132d3720ef81ad077ddf4f... | {
"action": {
"criteria": {
"east": "Attempt one cell east to [3,4]; this direction has not been tried here.",
"north": "Attempt one cell north to [2,3]; this direction has not been tried here."
},
"instructions": "Choose the next action that maximizes the probability of completing the stated ... | train | Maze task: reach goal [5,1] within 32 physical attempts. Used: 9. Remaining: 23. Outcome: in_progress.
Agent coordinate: (3,3); zero-based row and column. Rows increase south; columns increase east. The local window is centered on A. '#': wall; '.': open; 'A': agent; 'X': outside.
Local map:
.#...
.#.#.
..A#.
####.
...... | c26fbb3e775b770cfe09b1c2832d239b99787d5e3d6ac2f6cbf320242dc6580f | {
"model": "typesafe-ai/jev",
"native_probs": {
"action": {
"east": 0.31,
"north": 0.6900000000000001
}
},
"rounding": {
"probabilityDecimals": 2,
"scoreDecimals": 2
},
"source_api_call_id": "nanojev-live-000136"
} | null | null | null |
End of preview.
NanoJev-Data — Unified game supervision and recorded evaluation
The complete data package for the current NanoJev model: Maze, Snake, ViZDoom Basic and Predict Position. It includes the exact mixed supervised-learning inputs, full expert episodes, frozen evaluation cohorts, recorded comparisons, and the six-source hard Maze/Snake demonstration.
Training data
| Split | Rows per hard/soft variant |
|---|---|
| Train | 10,898 |
| Dev | 1,715 |
| Calibration | 1,709 |
| Test | 2,496 |
| OOD | 1,942 |
| Total | 18,760 |
The hard and soft variants share the same states, questions and candidates.
Only the new Predict Position target changes: expert argmax action versus its
complete action distribution. The selected checkpoint uses hard.
Both variants preserve all 7,587 existing Maze, Snake and Basic rows byte for byte. Predict Position contributes 11,173 questions across the five splits, including 6,788 training questions. The raw 896 expert episodes contain 17,498 decisions; the policy-training view retains pre-action states with ammunition, including unsuccessful episodes and the actual firing decisions. Full episodes also retain later states for audit and evaluation.
Rows contain id, state, questions, split, metadata and recorded target
annotations. The policy input is only state/question/candidate content; target
annotations, terminal outcomes and expert state are excluded from inference.
The existing target-validity filter yields 10,893 eligible training questions
and quarantines 11 questions over all splits. Stored source rows remain intact.
Expert policy source: Sonic Doom, ordinary no-sound Predict Position visual policy with a recurrent GRU. Basic supervision uses the existing APPO expert collection. Maze and Snake preserve their existing action annotations. Complete provenance stays in each exact source manifest and record; no target annotations are rewritten during packaging.
Evaluation and demonstrations
The frozen benchmark has 548 cases: 274 test and 274 OOD. Four primary systems have complete recordings: current NanoJev, its initialization, Jev and untuned Qwen. All 2,192 episodes pass independent simulator replay. Source manifests, model identities, actual action probabilities and physical counters are included.
| Test task | Current NanoJev | Jev | Untuned Qwen |
|---|---|---|---|
| Maze | 4/10 | 7/10 | 2/10 |
| Snake | 8/8 | 8/8 | 0/8 |
| Basic | 128/128 | 56/128 | 56/128 |
| Predict Position | 27/128 | 11/128 | 11/128 |
Hard demonstrations are separate fixed examples: 50x50 Maze, seed 24310922; 12x12 Snake, seed 61005. They preserve six real model trajectories and the exact common controller definitions. They are not additional samples in the 548-case benchmark. The included current visualization indices are derived artifacts; original recorded trajectories are also present.
See the exact training recipe, dataset counts, and all file hashes. Download the public data package:
import json
from huggingface_hub import hf_hub_download, snapshot_download
repo = "C-Tianyu/NanoJev-Data"
version = "unified-games-v1"
manifest_path = hf_hub_download(repo, "SHA256_MANIFEST.json", repo_type="dataset",
revision=version, token=False)
with open(manifest_path) as handle:
names = [row["path"] for row in json.load(handle)["files"]]
path = snapshot_download(repo, repo_type="dataset", revision=version, token=False,
allow_patterns=names + ["SHA256_MANIFEST.json"])
Use the JSONL split files directly with the bundled project training scripts. Split names and bytes match the original experiment. Test/OOD are held out from training and checkpoint selection. Scenario/seed groups are split-disjoint; individual visible observations can repeat between different episodes.
Release history
SHA256_MANIFEST.json describes this complete unified release. The retained root
manifest.json and verify_dataset.py describe the earlier dataset layout.
Its original snapshot remains available at
legacy-before-unified-games-v1.
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