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BabyAI-GoToLocalS7N5/optimal-fullobs-v0/data/metadata.json
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{"total_episodes": 1000, "total_steps": 4438, "data_format": "hdf5", "observation_space": "{\"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], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]]], \"high\": [[[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]]]}, \"mission\": {\"type\": \"Text\", \"max_length\": 256, \"min_length\": 1, \"charset\": \" ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''(),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdeeeffghijklmnnoopqrrssttuvwxyzz{}\"}}}", "action_space": "{\"type\": \"Discrete\", \"dtype\": \"int64\", \"start\": 0, \"n\": 7}", "env_spec": "{\"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_point\": \"minigrid.wrappers:FullyObsWrapper\", \"kwargs\": {}}], \"vector_entry_point\": null}", "dataset_size": 28.0, "dataset_id": "minigrid/BabyAI-GoToLocalS7N5/optimal-fullobs-v0", "code_permalink": "https://github.com/Farama-Foundation/minari-dataset-generation-scripts", "author": ["Omar G. Younis"], "author_email": ["[email protected]"], "algorithm_name": "BabyAI expert bot", "description": "
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{"total_episodes": 1000, "total_steps": 4438, "data_format": "hdf5", "observation_space": "{\"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], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]]], \"high\": [[[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255], [255, 255, 255]]]}, \"mission\": {\"type\": \"Text\", \"max_length\": 256, \"min_length\": 1, \"charset\": \" ''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''(),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdeeeffghijklmnnoopqrrssttuvwxyzz{}\"}}}", "action_space": "{\"type\": \"Discrete\", \"dtype\": \"int64\", \"start\": 0, \"n\": 7}", "env_spec": "{\"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_point\": \"minigrid.wrappers:FullyObsWrapper\", \"kwargs\": {}}], \"vector_entry_point\": null}", "dataset_size": 28.0, "dataset_id": "minigrid/BabyAI-GoToLocalS7N5/optimal-fullobs-v0", "code_permalink": "https://github.com/Farama-Foundation/minari-dataset-generation-scripts", "author": ["Omar G. Younis"], "author_email": ["[email protected]"], "algorithm_name": "BabyAI expert bot", "description": "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.\nThis version of the dataset uses the FullyObsWrapper, which provides the full observability of the environment.", "minari_version": "0.5.1", "requirements": ["minigrid"]}
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