Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 14 new columns ({'action_space', 'author_email', 'requirements', 'total_steps', 'algorithm_name', 'code_permalink', 'env_spec', 'dataset_size', 'author', 'minari_version', 'observation_space', 'dataset_id', 'total_episodes', 'data_format'}) and 1 missing columns ({'display_name'}).

This happened while the json dataset builder was generating data using

hf://datasets/farama-minari/minigrid/BabyAI-ActionObjDoor/optimal-fullobs-v0/data/metadata.json (at revision b12b151019feb9ad53fcd0342082b7329eb0dc92)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              total_episodes: int64
              total_steps: int64
              data_format: string
              observation_space: string
              action_space: string
              env_spec: string
              dataset_size: double
              dataset_id: string
              code_permalink: string
              author: list<item: string>
                child 0, item: string
              author_email: list<item: string>
                child 0, item: string
              algorithm_name: string
              description: string
              minari_version: string
              requirements: list<item: string>
                child 0, item: string
              to
              {'display_name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 14 new columns ({'action_space', 'author_email', 'requirements', 'total_steps', 'algorithm_name', 'code_permalink', 'env_spec', 'dataset_size', 'author', 'minari_version', 'observation_space', 'dataset_id', 'total_episodes', 'data_format'}) and 1 missing columns ({'display_name'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/farama-minari/minigrid/BabyAI-ActionObjDoor/optimal-fullobs-v0/data/metadata.json (at revision b12b151019feb9ad53fcd0342082b7329eb0dc92)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

display_name
string
description
string
total_episodes
int64
total_steps
int64
data_format
string
observation_space
string
action_space
string
env_spec
string
dataset_size
float64
dataset_id
string
code_permalink
string
author
sequence
author_email
sequence
algorithm_name
string
minari_version
string
requirements
sequence
BabyAI ActionObjDoor
Dataset group for the BabyAI-ActionObjDoor environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
6,241
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [19, 19, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-ActionObjDoor-v0", "entry_point": "minigrid.envs.babyai:ActionObjDoor", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:...
35.8
minigrid/BabyAI-ActionObjDoor/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
6,242
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-ActionObjDoor-v0", "entry_point": "minigrid.envs.babyai:ActionObjDoor", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
28.2
minigrid/BabyAI-ActionObjDoor/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI BlockedUnlockPickup
Dataset group for the BabyAI-BlockedUnlockPickup environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
34,387
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [11, 6, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, ...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BlockedUnlockPickup-v0", "entry_point": "minigrid.envs.babyai:BlockedUnlockPickup", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigr...
34.9
minigrid/BabyAI-BlockedUnlockPickup/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
33,974
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BlockedUnlockPickup-v0", "entry_point": "minigrid.envs.babyai:BlockedUnlockPickup", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
33.1
minigrid/BabyAI-BlockedUnlockPickup/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI BossLevel
Dataset group for the BabyAI-BossLevel environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
80,946
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [22, 22, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BossLevel-v0", "entry_point": "minigrid.envs.babyai:BossLevel", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:FullyObs...
190.5
minigrid/BabyAI-BossLevel/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
83,170
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BossLevel-v0", "entry_point": "minigrid.envs.babyai:BossLevel", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
51
minigrid/BabyAI-BossLevel/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI BossLevelNoUnlock
Dataset group for the BabyAI-BossLevelNoUnlock environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
84,759
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [22, 22, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BossLevelNoUnlock-v0", "entry_point": "minigrid.envs.babyai:BossLevelNoUnlock", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.w...
198.8
minigrid/BabyAI-BossLevelNoUnlock/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
87,126
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-BossLevelNoUnlock-v0", "entry_point": "minigrid.envs.babyai:BossLevelNoUnlock", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
52.2
minigrid/BabyAI-BossLevelNoUnlock/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI FindObjS5
Dataset group for the BabyAI-FindObjS5 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
29,617
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [13, 13, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]]...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS5-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:FullyObs...
44.5
minigrid/BabyAI-FindObjS5/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
29,790
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS5-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
32.7
minigrid/BabyAI-FindObjS5/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI FindObjS6
Dataset group for the BabyAI-FindObjS6 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
38,971
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [16, 16, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS6-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wra...
59.8
minigrid/BabyAI-FindObjS6/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
39,896
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS6-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6}, "additional_wrappers": [], "vector_entry_point": null}
34.7
minigrid/BabyAI-FindObjS6/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI FindObjS7
Dataset group for the BabyAI-FindObjS7 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
62,960
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [19, 19, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS7-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wra...
123.5
minigrid/BabyAI-FindObjS7/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
60,202
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-FindObjS7-v0", "entry_point": "minigrid.envs.babyai:FindObjS5", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7}, "additional_wrappers": [], "vector_entry_point": null}
39
minigrid/BabyAI-FindObjS7/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoTo
Dataset group for the BabyAI-GoTo environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
52,531
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [22, 22, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoTo-v0", "entry_point": "minigrid.envs.babyai:GoTo", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:FullyObsWrapper", ...
124.8
minigrid/BabyAI-GoTo/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
52,366
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoTo-v0", "entry_point": "minigrid.envs.babyai:GoTo", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
37.9
minigrid/BabyAI-GoTo/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToDoor
Dataset group for the BabyAI-GoToDoor environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
5,316
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [19, 19, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToDoor-v0", "entry_point": "minigrid.envs.babyai:GoToDoor", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:FullyObsWr...
34.8
minigrid/BabyAI-GoToDoor/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
5,409
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToDoor-v0", "entry_point": "minigrid.envs.babyai:GoToDoor", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
28
minigrid/BabyAI-GoToDoor/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocal
Dataset group for the BabyAI-GoToLocal environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
5,436
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [8, 8, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocal-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_point": "minigrid.wrappers:FullyObs...
28.4
minigrid/BabyAI-GoToLocal/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
5,373
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocal-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {}, "additional_wrappers": [], "vector_entry_point": null}
28.1
minigrid/BabyAI-GoToLocal/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS5N2
Dataset group for the BabyAI-GoToLocalS5N2 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
2,937
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [5, 5, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS5N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 5, "num_dists": 2}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
27.9
minigrid/BabyAI-GoToLocalS5N2/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
3,092
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS5N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 5, "num_dists": 2}, "additional_wrappers": [], "vector_entry_point": null}
27.9
minigrid/BabyAI-GoToLocalS5N2/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS6N2
Dataset group for the BabyAI-GoToLocalS6N2 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
3,601
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [6, 6, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 2}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
27.9
minigrid/BabyAI-GoToLocalS6N2/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
3,546
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 2}, "additional_wrappers": [], "vector_entry_point": null}
27.9
minigrid/BabyAI-GoToLocalS6N2/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS6N3
Dataset group for the BabyAI-GoToLocalS6N3 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
3,753
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [6, 6, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N3-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 3}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
27.9
minigrid/BabyAI-GoToLocalS6N3/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
3,653
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N3-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 3}, "additional_wrappers": [], "vector_entry_point": null}
27.9
minigrid/BabyAI-GoToLocalS6N3/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS6N4
Dataset group for the BabyAI-GoToLocalS6N4 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
3,768
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [6, 6, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N4-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 4}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
27.9
minigrid/BabyAI-GoToLocalS6N4/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
3,822
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS6N4-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 6, "num_dists": 4}, "additional_wrappers": [], "vector_entry_point": null}
27.9
minigrid/BabyAI-GoToLocalS6N4/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS7N4
Dataset group for the BabyAI-GoToLocalS7N4 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
4,316
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS7N4-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7, "num_dists": 4}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
27.9
minigrid/BabyAI-GoToLocalS7N4/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
4,505
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS7N4-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7, "num_dists": 4}, "additional_wrappers": [], "vector_entry_point": null}
28
minigrid/BabyAI-GoToLocalS7N4/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS7N5
Dataset group for the BabyAI-GoToLocalS7N5 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
4,438
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS7N5-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7, "num_dists": 5}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
28
minigrid/BabyAI-GoToLocalS7N5/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
4,456
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS7N5-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 7, "num_dists": 5}, "additional_wrappers": [], "vector_entry_point": null}
28
minigrid/BabyAI-GoToLocalS7N5/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS8N2
Dataset group for the BabyAI-GoToLocalS8N2 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
5,066
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [8, 8, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS8N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 8, "num_dists": 2}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
28.2
minigrid/BabyAI-GoToLocalS8N2/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
4,929
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS8N2-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 8, "num_dists": 2}, "additional_wrappers": [], "vector_entry_point": null}
28
minigrid/BabyAI-GoToLocalS8N2/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS8N3
Dataset group for the BabyAI-GoToLocalS8N3 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally. This version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.
1,000
4,992
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [8, 8, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS8N3-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 8, "num_dists": 3}, "additional_wrappers": [{"name": "FullyObsWrapper", "entry_p...
28.3
minigrid/BabyAI-GoToLocalS8N3/optimal-fullobs-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
null
The dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment. The bot is a hard-coded planner, which solves all the tasks optimally.
1,000
4,994
hdf5
{"type": "Dict", "subspaces": {"direction": {"type": "Discrete", "dtype": "int64", "start": 0, "n": 4}, "image": {"type": "Box", "dtype": "uint8", "shape": [7, 7, 3], "low": [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0],...
{"type": "Discrete", "dtype": "int64", "start": 0, "n": 7}
{"id": "BabyAI-GoToLocalS8N3-v0", "entry_point": "minigrid.envs.babyai:GoToLocal", "reward_threshold": null, "nondeterministic": false, "max_episode_steps": null, "order_enforce": true, "disable_env_checker": false, "kwargs": {"room_size": 8, "num_dists": 3}, "additional_wrappers": [], "vector_entry_point": null}
28
minigrid/BabyAI-GoToLocalS8N3/optimal-v0
https://github.com/Farama-Foundation/minari-dataset-generation-scripts
[ "Omar G. Younis" ]
[ "omar@farama.org" ]
BabyAI expert bot
0.5.1
[ "minigrid" ]
BabyAI GoToLocalS8N4
Dataset group for the BabyAI-GoToLocalS8N4 environment.
null
null
null
null
null
null
null
null
null
null
null
null
null
null
End of preview.

No dataset card yet

Downloads last month
4,691