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@@ -144,3 +144,4 @@ BabyAI-KeyCorridorS3R2/optimal-v0/data/main_data.hdf5 filter=lfs diff=lfs merge=
 BabyAI-KeyCorridorS3R2/optimal-fullobs-v0/data/main_data.hdf5 filter=lfs diff=lfs merge=lfs -text
 BabyAI-KeyCorridorS3R3/optimal-v0/data/main_data.hdf5 filter=lfs diff=lfs merge=lfs -text
 BabyAI-KeyCorridorS3R3/optimal-fullobs-v0/data/main_data.hdf5 filter=lfs diff=lfs merge=lfs -text
+BabyAI-KeyCorridorS4R3/optimal-v0/data/main_data.hdf5 filter=lfs diff=lfs merge=lfs -text

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BabyAI-KeyCorridorS4R3/optimal-v0/data/metadata.json

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+{"total_episodes": 1000, "total_steps": 65517, "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-KeyCorridorS4R3-v0\", \"entry_point\": \"minigrid.envs.babyai:KeyCorridor\", \"reward_threshold\": null, \"nondeterministic\": false, \"max_episode_steps\": null, \"order_enforce\": true, \"autoreset\": false, \"disable_env_checker\": false, \"apply_api_compatibility\": false, \"kwargs\": {\"room_size\": 4, \"num_rows\": 3}, \"additional_wrappers\": [], \"vector_entry_point\": null}", "dataset_size": 39.8, "dataset_id": "minigrid/BabyAI-KeyCorridorS4R3/optimal-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": "\nThe dataset was generated using the expert bot from the BabyAI original repository and adapted to the latest version of the environment.\nThe bot is a hard-coded planner, which solves all the tasks optimally.\n", "minari_version": "0.5.1"}