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jat-project/jat-dataset

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Hugging Face2024-02-16 更新2024-03-04 收录
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--- annotations_creators: - found - machine-generated license: apache-2.0 source_datasets: - conceptual-captions - ok-vqa - oscar task_categories: - reinforcement-learning - text-generation - question-answering pretty_name: JAT-dataset configs: - config_name: atari-alien data_files: - split: train path: atari-alien/train-* - split: test path: atari-alien/test-* - config_name: atari-amidar data_files: - split: train path: atari-amidar/train-* - split: test path: atari-amidar/test-* - config_name: atari-assault data_files: - split: train path: atari-assault/train-* - split: test path: atari-assault/test-* - config_name: atari-asterix data_files: - split: train path: atari-asterix/train-* - split: test path: atari-asterix/test-* - config_name: atari-asteroids data_files: - split: train path: atari-asteroids/train-* - split: test path: atari-asteroids/test-* - config_name: atari-atlantis data_files: - split: train path: atari-atlantis/train-* - split: test path: atari-atlantis/test-* - config_name: atari-bankheist data_files: - split: train path: atari-bankheist/train-* - split: test path: atari-bankheist/test-* - config_name: atari-battlezone data_files: - split: train path: atari-battlezone/train-* - split: test path: atari-battlezone/test-* - config_name: atari-beamrider data_files: - split: train path: atari-beamrider/train-* - split: test path: atari-beamrider/test-* - config_name: atari-berzerk data_files: - split: train path: atari-berzerk/train-* - split: test path: atari-berzerk/test-* - config_name: atari-bowling data_files: - split: train path: atari-bowling/train-* - split: test path: atari-bowling/test-* - config_name: atari-boxing data_files: - split: train path: atari-boxing/train-* - split: test path: atari-boxing/test-* - config_name: atari-breakout data_files: - split: train path: atari-breakout/train-* - split: test path: atari-breakout/test-* - config_name: atari-centipede data_files: - split: train path: atari-centipede/train-* - split: test path: atari-centipede/test-* - config_name: atari-choppercommand data_files: - split: train path: atari-choppercommand/train-* - split: test path: atari-choppercommand/test-* - config_name: atari-crazyclimber data_files: - split: train path: atari-crazyclimber/train-* - split: test path: atari-crazyclimber/test-* - config_name: atari-defender data_files: - split: train path: atari-defender/train-* - split: test path: atari-defender/test-* - config_name: atari-demonattack data_files: - split: train path: atari-demonattack/train-* - split: test path: atari-demonattack/test-* - config_name: atari-doubledunk data_files: - split: test path: atari-doubledunk/test-* - split: train path: atari-doubledunk/train-* - config_name: atari-enduro data_files: - split: train path: atari-enduro/train-* - split: test path: atari-enduro/test-* - config_name: atari-fishingderby data_files: - split: train path: atari-fishingderby/train-* - split: test path: atari-fishingderby/test-* - config_name: atari-freeway data_files: - split: train path: atari-freeway/train-* - split: test path: atari-freeway/test-* - config_name: atari-frostbite data_files: - split: train path: atari-frostbite/train-* - split: test path: atari-frostbite/test-* - config_name: atari-gopher data_files: - split: train path: atari-gopher/train-* - split: test path: atari-gopher/test-* - config_name: atari-gravitar data_files: - split: train path: atari-gravitar/train-* - split: test path: atari-gravitar/test-* - config_name: atari-hero data_files: - split: train path: atari-hero/train-* - split: test path: atari-hero/test-* - config_name: atari-icehockey data_files: - split: train path: atari-icehockey/train-* - split: test path: atari-icehockey/test-* - config_name: atari-jamesbond data_files: - split: train path: atari-jamesbond/train-* - split: test path: atari-jamesbond/test-* - config_name: atari-kangaroo data_files: - split: train path: atari-kangaroo/train-* - split: test path: atari-kangaroo/test-* - config_name: atari-krull data_files: - split: train path: atari-krull/train-* - split: test path: atari-krull/test-* - config_name: atari-kungfumaster data_files: - split: train path: atari-kungfumaster/train-* - split: test path: atari-kungfumaster/test-* - config_name: atari-montezumarevenge data_files: - split: train path: atari-montezumarevenge/train-* - split: test path: atari-montezumarevenge/test-* - config_name: atari-mspacman data_files: - split: train path: atari-mspacman/train-* - split: test path: atari-mspacman/test-* - config_name: atari-namethisgame data_files: - split: train path: atari-namethisgame/train-* - split: test path: atari-namethisgame/test-* - config_name: atari-phoenix data_files: - split: train path: atari-phoenix/train-* - split: test path: atari-phoenix/test-* - config_name: atari-pitfall data_files: - split: train path: atari-pitfall/train-* - split: test path: atari-pitfall/test-* - config_name: atari-pong data_files: - split: test path: atari-pong/test-* - split: train path: atari-pong/train-* - config_name: atari-privateeye data_files: - split: test path: atari-privateeye/test-* - split: train path: atari-privateeye/train-* - config_name: atari-qbert data_files: - split: test path: atari-qbert/test-* - split: train path: atari-qbert/train-* - config_name: atari-riverraid data_files: - split: test path: atari-riverraid/test-* - split: train path: atari-riverraid/train-* - config_name: atari-roadrunner data_files: - split: test path: atari-roadrunner/test-* - split: train path: atari-roadrunner/train-* - config_name: atari-robotank data_files: - split: test path: atari-robotank/test-* - split: train path: atari-robotank/train-* - config_name: atari-seaquest data_files: - split: test path: atari-seaquest/test-* - split: train path: atari-seaquest/train-* - config_name: atari-skiing data_files: - split: train path: atari-skiing/train-* - split: test path: atari-skiing/test-* - config_name: atari-solaris data_files: - split: train path: atari-solaris/train-* - split: test path: atari-solaris/test-* - config_name: atari-spaceinvaders data_files: - split: train path: atari-spaceinvaders/train-* - split: test path: atari-spaceinvaders/test-* - config_name: atari-stargunner data_files: - split: train path: atari-stargunner/train-* - split: test path: atari-stargunner/test-* - config_name: atari-surround data_files: - split: train path: atari-surround/train-* - split: test path: atari-surround/test-* - config_name: atari-tennis data_files: - split: train path: atari-tennis/train-* - split: test path: atari-tennis/test-* - config_name: atari-timepilot data_files: - split: train path: atari-timepilot/train-* - split: test path: atari-timepilot/test-* - config_name: atari-tutankham data_files: - split: train path: atari-tutankham/train-* - split: test path: atari-tutankham/test-* - config_name: atari-upndown data_files: - split: train path: atari-upndown/train-* - split: test path: atari-upndown/test-* - config_name: atari-venture data_files: - split: test path: atari-venture/test-* - split: train path: atari-venture/train-* - config_name: atari-videopinball data_files: - split: test path: atari-videopinball/test-* - split: train path: atari-videopinball/train-* - config_name: atari-wizardofwor data_files: - split: test path: atari-wizardofwor/test-* - split: train path: atari-wizardofwor/train-* - config_name: atari-yarsrevenge data_files: - split: test path: atari-yarsrevenge/test-* - split: train path: atari-yarsrevenge/train-* - config_name: atari-zaxxon data_files: - split: test path: atari-zaxxon/test-* - split: train path: atari-zaxxon/train-* - config_name: babyai-action-obj-door data_files: - split: train path: babyai-action-obj-door/train-* - split: test path: babyai-action-obj-door/test-* - config_name: babyai-blocked-unlock-pickup data_files: - split: test path: babyai-blocked-unlock-pickup/test-* - split: train path: babyai-blocked-unlock-pickup/train-* - config_name: babyai-boss-level data_files: - split: test path: babyai-boss-level/test-* - split: train path: babyai-boss-level/train-* - config_name: babyai-boss-level-no-unlock data_files: - split: test path: babyai-boss-level-no-unlock/test-* - split: train path: babyai-boss-level-no-unlock/train-* - config_name: babyai-find-obj-s5 data_files: - split: train path: babyai-find-obj-s5/train-* - split: test path: babyai-find-obj-s5/test-* - config_name: babyai-go-to data_files: - split: train path: babyai-go-to/train-* - split: test path: babyai-go-to/test-* - config_name: babyai-go-to-door data_files: - split: train path: babyai-go-to-door/train-* - split: test path: babyai-go-to-door/test-* - config_name: babyai-go-to-imp-unlock data_files: - split: train path: babyai-go-to-imp-unlock/train-* - split: test path: babyai-go-to-imp-unlock/test-* - config_name: babyai-go-to-local data_files: - split: train path: babyai-go-to-local/train-* - split: test path: babyai-go-to-local/test-* - config_name: babyai-go-to-obj data_files: - split: train path: babyai-go-to-obj/train-* - split: test path: babyai-go-to-obj/test-* - config_name: babyai-go-to-obj-door data_files: - split: train path: babyai-go-to-obj-door/train-* - split: test path: babyai-go-to-obj-door/test-* - config_name: babyai-go-to-red-ball data_files: - split: train path: babyai-go-to-red-ball/train-* - split: test path: babyai-go-to-red-ball/test-* - config_name: babyai-go-to-red-ball-grey data_files: - split: train path: babyai-go-to-red-ball-grey/train-* - split: test path: babyai-go-to-red-ball-grey/test-* - config_name: babyai-go-to-red-ball-no-dists data_files: - split: train path: babyai-go-to-red-ball-no-dists/train-* - split: test path: babyai-go-to-red-ball-no-dists/test-* - config_name: babyai-go-to-red-blue-ball data_files: - split: train path: babyai-go-to-red-blue-ball/train-* - split: test path: babyai-go-to-red-blue-ball/test-* - config_name: babyai-go-to-seq data_files: - split: train path: babyai-go-to-seq/train-* - split: test path: babyai-go-to-seq/test-* - config_name: babyai-key-corridor data_files: - split: test path: babyai-key-corridor/test-* - split: train path: babyai-key-corridor/train-* - config_name: babyai-mini-boss-level data_files: - split: test path: babyai-mini-boss-level/test-* - split: train path: babyai-mini-boss-level/train-* - config_name: babyai-move-two-across-s8n9 data_files: - split: test path: babyai-move-two-across-s8n9/test-* - split: train path: babyai-move-two-across-s8n9/train-* - config_name: babyai-one-room-s8 data_files: - split: test path: babyai-one-room-s8/test-* - split: train path: babyai-one-room-s8/train-* - config_name: babyai-open data_files: - split: test path: babyai-open/test-* - split: train path: babyai-open/train-* - config_name: babyai-open-door data_files: - split: test path: babyai-open-door/test-* - split: train path: babyai-open-door/train-* - config_name: babyai-open-doors-order-n4 data_files: - split: test path: babyai-open-doors-order-n4/test-* - split: train path: babyai-open-doors-order-n4/train-* - config_name: babyai-open-red-door data_files: - split: test path: babyai-open-red-door/test-* - split: train path: babyai-open-red-door/train-* - config_name: babyai-open-two-doors data_files: - split: test path: babyai-open-two-doors/test-* - split: train path: babyai-open-two-doors/train-* - config_name: babyai-pickup data_files: - split: test path: babyai-pickup/test-* - split: train path: babyai-pickup/train-* - config_name: babyai-pickup-above data_files: - split: test path: babyai-pickup-above/test-* - split: train path: babyai-pickup-above/train-* - config_name: babyai-pickup-dist data_files: - split: test path: babyai-pickup-dist/test-* - split: train path: babyai-pickup-dist/train-* - config_name: babyai-pickup-loc data_files: - split: test path: babyai-pickup-loc/test-* - split: train path: babyai-pickup-loc/train-* - config_name: babyai-put-next data_files: - split: train path: babyai-put-next/train-* - split: test path: babyai-put-next/test-* - config_name: babyai-put-next-local data_files: - split: train path: babyai-put-next-local/train-* - split: test path: babyai-put-next-local/test-* - config_name: babyai-synth data_files: - split: test path: babyai-synth/test-* - split: train path: babyai-synth/train-* - config_name: babyai-synth-loc data_files: - split: test path: babyai-synth-loc/test-* - split: train path: babyai-synth-loc/train-* - config_name: babyai-synth-seq data_files: - split: test path: babyai-synth-seq/test-* - split: train path: babyai-synth-seq/train-* - config_name: babyai-unblock-pickup data_files: - split: test path: babyai-unblock-pickup/test-* - split: train path: babyai-unblock-pickup/train-* - config_name: babyai-unlock data_files: - split: train path: babyai-unlock/train-* - split: test path: babyai-unlock/test-* - config_name: babyai-unlock-local data_files: - split: test path: babyai-unlock-local/test-* - split: train path: babyai-unlock-local/train-* - config_name: babyai-unlock-pickup data_files: - split: test path: babyai-unlock-pickup/test-* - split: train path: babyai-unlock-pickup/train-* - config_name: babyai-unlock-to-unlock data_files: - split: train path: babyai-unlock-to-unlock/train-* - split: test path: babyai-unlock-to-unlock/test-* - config_name: conceptual-captions data_files: - split: test path: conceptual-captions/test-* - split: train path: conceptual-captions/train-* - config_name: metaworld-assembly data_files: - split: train path: metaworld-assembly/train-* - split: test path: metaworld-assembly/test-* - config_name: metaworld-basketball data_files: - split: train path: metaworld-basketball/train-* - split: test path: metaworld-basketball/test-* - config_name: metaworld-bin-picking data_files: - split: train path: metaworld-bin-picking/train-* - split: test path: metaworld-bin-picking/test-* - config_name: metaworld-box-close data_files: - split: train path: metaworld-box-close/train-* - split: test path: metaworld-box-close/test-* - config_name: metaworld-button-press data_files: - split: train path: metaworld-button-press/train-* - split: test path: metaworld-button-press/test-* - config_name: metaworld-button-press-topdown data_files: - split: train path: metaworld-button-press-topdown/train-* - split: test path: metaworld-button-press-topdown/test-* - config_name: metaworld-button-press-topdown-wall data_files: - split: train path: metaworld-button-press-topdown-wall/train-* - split: test path: metaworld-button-press-topdown-wall/test-* - config_name: metaworld-button-press-wall data_files: - split: train path: metaworld-button-press-wall/train-* - split: test path: metaworld-button-press-wall/test-* - config_name: metaworld-coffee-button data_files: - split: train path: metaworld-coffee-button/train-* - split: test path: metaworld-coffee-button/test-* - config_name: metaworld-coffee-pull data_files: - split: train path: metaworld-coffee-pull/train-* - split: test path: metaworld-coffee-pull/test-* - config_name: metaworld-coffee-push data_files: - split: train path: metaworld-coffee-push/train-* - split: test path: metaworld-coffee-push/test-* - config_name: metaworld-dial-turn data_files: - split: train path: metaworld-dial-turn/train-* - split: test path: metaworld-dial-turn/test-* - config_name: metaworld-disassemble data_files: - split: train path: metaworld-disassemble/train-* - split: test path: metaworld-disassemble/test-* - config_name: metaworld-door-close data_files: - split: train path: metaworld-door-close/train-* - split: test path: metaworld-door-close/test-* - config_name: metaworld-door-lock data_files: - split: train path: metaworld-door-lock/train-* - split: test path: metaworld-door-lock/test-* - config_name: metaworld-door-open data_files: - split: train path: metaworld-door-open/train-* - split: test path: metaworld-door-open/test-* - config_name: metaworld-door-unlock data_files: - split: train path: metaworld-door-unlock/train-* - split: test path: metaworld-door-unlock/test-* - config_name: metaworld-drawer-close data_files: - split: train path: metaworld-drawer-close/train-* - split: test path: metaworld-drawer-close/test-* - config_name: metaworld-drawer-open data_files: - split: train path: metaworld-drawer-open/train-* - split: test path: metaworld-drawer-open/test-* - config_name: metaworld-faucet-close data_files: - split: train path: metaworld-faucet-close/train-* - split: test path: metaworld-faucet-close/test-* - config_name: metaworld-faucet-open data_files: - split: train path: metaworld-faucet-open/train-* - split: test path: metaworld-faucet-open/test-* - config_name: metaworld-hammer data_files: - split: train path: metaworld-hammer/train-* - split: test path: metaworld-hammer/test-* - config_name: metaworld-hand-insert data_files: - split: train path: metaworld-hand-insert/train-* - split: test path: metaworld-hand-insert/test-* - config_name: metaworld-handle-press data_files: - split: train path: metaworld-handle-press/train-* - split: test path: metaworld-handle-press/test-* - config_name: metaworld-handle-press-side data_files: - split: train path: metaworld-handle-press-side/train-* - split: test path: metaworld-handle-press-side/test-* - config_name: metaworld-handle-pull data_files: - split: train path: metaworld-handle-pull/train-* - split: test path: metaworld-handle-pull/test-* - config_name: metaworld-handle-pull-side data_files: - split: train path: metaworld-handle-pull-side/train-* - split: test path: metaworld-handle-pull-side/test-* - config_name: metaworld-lever-pull data_files: - split: train path: metaworld-lever-pull/train-* - split: test path: metaworld-lever-pull/test-* - config_name: metaworld-peg-insert-side data_files: - split: train path: metaworld-peg-insert-side/train-* - split: test path: metaworld-peg-insert-side/test-* - config_name: metaworld-peg-unplug-side data_files: - split: train path: metaworld-peg-unplug-side/train-* - split: test path: metaworld-peg-unplug-side/test-* - config_name: metaworld-pick-out-of-hole data_files: - split: train path: metaworld-pick-out-of-hole/train-* - split: test path: metaworld-pick-out-of-hole/test-* - config_name: metaworld-pick-place data_files: - split: train path: metaworld-pick-place/train-* - split: test path: metaworld-pick-place/test-* - config_name: metaworld-pick-place-wall data_files: - split: train path: metaworld-pick-place-wall/train-* - split: test path: metaworld-pick-place-wall/test-* - config_name: metaworld-plate-slide data_files: - split: train path: metaworld-plate-slide/train-* - split: test path: metaworld-plate-slide/test-* - config_name: metaworld-plate-slide-back data_files: - split: train path: metaworld-plate-slide-back/train-* - split: test path: metaworld-plate-slide-back/test-* - config_name: metaworld-plate-slide-back-side data_files: - split: train path: metaworld-plate-slide-back-side/train-* - split: test path: metaworld-plate-slide-back-side/test-* - config_name: metaworld-plate-slide-side data_files: - split: train path: metaworld-plate-slide-side/train-* - split: test path: metaworld-plate-slide-side/test-* - config_name: metaworld-push data_files: - split: train path: metaworld-push/train-* - split: test path: metaworld-push/test-* - config_name: metaworld-push-back data_files: - split: train path: metaworld-push-back/train-* - split: test path: metaworld-push-back/test-* - config_name: metaworld-push-wall data_files: - split: train path: metaworld-push-wall/train-* - split: test path: metaworld-push-wall/test-* - config_name: metaworld-reach data_files: - split: train path: metaworld-reach/train-* - split: test path: metaworld-reach/test-* - config_name: metaworld-reach-wall data_files: - split: train path: metaworld-reach-wall/train-* - split: test path: metaworld-reach-wall/test-* - config_name: metaworld-shelf-place data_files: - split: train path: metaworld-shelf-place/train-* - split: test path: metaworld-shelf-place/test-* - config_name: metaworld-soccer data_files: - split: train path: metaworld-soccer/train-* - split: test path: metaworld-soccer/test-* - config_name: metaworld-stick-pull data_files: - split: train path: metaworld-stick-pull/train-* - split: test path: metaworld-stick-pull/test-* - config_name: metaworld-stick-push data_files: - split: train path: metaworld-stick-push/train-* - split: test path: metaworld-stick-push/test-* - config_name: metaworld-sweep data_files: - split: train path: metaworld-sweep/train-* - split: test path: metaworld-sweep/test-* - config_name: metaworld-sweep-into data_files: - split: train path: metaworld-sweep-into/train-* - split: test path: metaworld-sweep-into/test-* - config_name: metaworld-window-close data_files: - split: train path: metaworld-window-close/train-* - split: test path: metaworld-window-close/test-* - config_name: metaworld-window-open data_files: - split: train path: metaworld-window-open/train-* - split: test path: metaworld-window-open/test-* - config_name: mujoco-ant data_files: - split: train path: mujoco-ant/train-* - split: test path: mujoco-ant/test-* - config_name: mujoco-doublependulum data_files: - split: train path: mujoco-doublependulum/train-* - split: test path: mujoco-doublependulum/test-* - config_name: mujoco-halfcheetah data_files: - split: train path: mujoco-halfcheetah/train-* - split: test path: mujoco-halfcheetah/test-* - config_name: mujoco-hopper data_files: - split: train path: mujoco-hopper/train-* - split: test path: mujoco-hopper/test-* - config_name: mujoco-humanoid data_files: - split: train path: mujoco-humanoid/train-* - split: test path: mujoco-humanoid/test-* - config_name: mujoco-pendulum data_files: - split: train path: mujoco-pendulum/train-* - split: test path: mujoco-pendulum/test-* - config_name: mujoco-pusher data_files: - split: train path: mujoco-pusher/train-* - split: test path: mujoco-pusher/test-* - config_name: mujoco-reacher data_files: - split: train path: mujoco-reacher/train-* - split: test path: mujoco-reacher/test-* - config_name: mujoco-standup data_files: - split: train path: mujoco-standup/train-* - split: test path: mujoco-standup/test-* - config_name: mujoco-swimmer data_files: - split: train path: mujoco-swimmer/train-* - split: test path: mujoco-swimmer/test-* - config_name: mujoco-walker data_files: - split: train path: mujoco-walker/train-* - split: test path: mujoco-walker/test-* - config_name: ok-vqa data_files: - split: train path: ok-vqa/train-* - split: test path: ok-vqa/test-* - config_name: oscar data_files: - split: train path: oscar/train-* - split: test path: oscar/test-* - config_name: wikipedia data_files: - split: train path: wikipedia/train-* - split: test path: wikipedia/test-* tags: - imitation-learning - reinforcement-learning - text-generation - question-answering - generalist-agent dataset_info: - config_name: atari-alien features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1340568536.0 num_examples: 97 - name: test num_bytes: 140147997.0 num_examples: 11 download_size: 139482052 dataset_size: 1480716533.0 - config_name: atari-amidar features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 839195896.0 num_examples: 146 - name: test num_bytes: 76328889.0 num_examples: 17 download_size: 849996308 dataset_size: 915524785.0 - config_name: atari-assault features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 798961431.0 num_examples: 53 - name: test num_bytes: 70630737.0 num_examples: 6 download_size: 856465142 dataset_size: 869592168.0 - config_name: atari-asterix features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 981904668.0 num_examples: 470 - name: test num_bytes: 94826831.0 num_examples: 53 download_size: 1025083959 dataset_size: 1076731499.0 - config_name: atari-asteroids features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 774344616.0 num_examples: 17 - name: test num_bytes: 52617462.0 num_examples: 2 download_size: 815573512 dataset_size: 826962078.0 - config_name: atari-atlantis features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 915242786.0 num_examples: 44 - name: test num_bytes: 68743372.0 num_examples: 5 download_size: 969604640 dataset_size: 983986158.0 - config_name: atari-bankheist features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1623230516.0 num_examples: 222 - name: test num_bytes: 182769923.0 num_examples: 25 download_size: 1743163262 dataset_size: 1806000439.0 - config_name: atari-battlezone features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1406320758.0 num_examples: 97 - name: test num_bytes: 167008797.0 num_examples: 11 download_size: 640049534 dataset_size: 1573329555.0 - config_name: atari-beamrider features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1028942918.0 num_examples: 46 - name: test num_bytes: 165781602.0 num_examples: 6 download_size: 1190822803 dataset_size: 1194724520.0 - config_name: atari-berzerk features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 599497245.0 num_examples: 17 - name: test num_bytes: 75010244.0 num_examples: 2 download_size: 652845047 dataset_size: 674507489.0 - config_name: atari-bowling features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 546770697.0 num_examples: 193 - name: test num_bytes: 62611921.0 num_examples: 22 download_size: 534548773 dataset_size: 609382618.0 - config_name: atari-boxing features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1081525678.975 num_examples: 1025 - name: test num_bytes: 119411032.0 num_examples: 114 download_size: 1196687855 dataset_size: 1200936710.975 - config_name: atari-breakout features: - 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name: train num_bytes: 1109519748.0 num_examples: 219 - name: test num_bytes: 126516219.0 num_examples: 25 download_size: 1232267662 dataset_size: 1236035967.0 - config_name: atari-frostbite features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1461470198.0 num_examples: 188 - name: test num_bytes: 168294758.0 num_examples: 21 download_size: 1623699715 dataset_size: 1629764956.0 - config_name: atari-gopher features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 838220280.0 num_examples: 23 - name: test num_bytes: 112043092.0 num_examples: 3 download_size: 942000464 dataset_size: 950263372.0 - config_name: atari-gravitar features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 795642642.0 num_examples: 750 - name: test num_bytes: 88650726.0 num_examples: 84 download_size: 877506629 dataset_size: 884293368.0 - config_name: atari-hero features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 1093415256.0 num_examples: 166 - name: test num_bytes: 125418914.0 num_examples: 19 download_size: 1203346008 dataset_size: 1218834170.0 - config_name: atari-icehockey features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 764843072.0 num_examples: 118 - name: test num_bytes: 87267657.0 num_examples: 14 download_size: 778055672 dataset_size: 852110729.0 - config_name: atari-jamesbond features: - name: image_observations sequence: image - name: rewards sequence: float32 - name: discrete_actions sequence: int64 splits: - name: train num_bytes: 735033584.0 num_examples: 54 - name: test num_bytes: 168937080.0 num_examples: 7 download_size: 899088453 dataset_size: 903970664.0 - 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name: test num_bytes: 28179200 num_examples: 1600 download_size: 92407404 dataset_size: 309971200 - config_name: metaworld-button-press-topdown features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 99643997 dataset_size: 309971200 - config_name: metaworld-button-press-topdown-wall features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 102330609 dataset_size: 309971200 - config_name: metaworld-button-press-wall features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 98686929 dataset_size: 309971200 - config_name: metaworld-coffee-button features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 98541376 dataset_size: 309971200 - config_name: metaworld-coffee-pull features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 141657803 dataset_size: 309971200 - config_name: metaworld-coffee-push features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 153493123 dataset_size: 309971200 - config_name: metaworld-dial-turn features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 90092180 dataset_size: 309971200 - config_name: metaworld-disassemble features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 55699141 dataset_size: 309971200 - config_name: metaworld-door-close features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 132047898 dataset_size: 309971200 - config_name: metaworld-door-lock features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 108135090 dataset_size: 309971200 - config_name: metaworld-door-open features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 123463142 dataset_size: 309971200 - config_name: metaworld-door-unlock features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 107047389 dataset_size: 309971200 - config_name: metaworld-drawer-close features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 86742866 dataset_size: 309971200 - config_name: metaworld-drawer-open features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 87426230 dataset_size: 309971200 - config_name: metaworld-faucet-close features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 75525957 dataset_size: 309971200 - config_name: metaworld-faucet-open features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 82798110 dataset_size: 309971200 - config_name: metaworld-hammer features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 156766229 dataset_size: 309971200 - config_name: metaworld-hand-insert features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 115425570 dataset_size: 309971200 - config_name: metaworld-handle-press features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 88721833 dataset_size: 309971200 - config_name: metaworld-handle-press-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 90271855 dataset_size: 309971200 - config_name: metaworld-handle-pull features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 106520317 dataset_size: 309971200 - config_name: metaworld-handle-pull-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 104725703 dataset_size: 309971200 - config_name: metaworld-lever-pull features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 147893313 dataset_size: 309971200 - config_name: metaworld-peg-insert-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 133765390 dataset_size: 309971200 - config_name: metaworld-peg-unplug-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 152488362 dataset_size: 309971200 - config_name: metaworld-pick-out-of-hole features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 15063825 dataset_size: 309971200 - config_name: metaworld-pick-place features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 156685126 dataset_size: 309971200 - config_name: metaworld-pick-place-wall features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 152697114 dataset_size: 309971200 - config_name: metaworld-plate-slide features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 91689118 dataset_size: 309971200 - config_name: metaworld-plate-slide-back features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 17682663 dataset_size: 309971200 - config_name: metaworld-plate-slide-back-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 16397415 dataset_size: 309971200 - config_name: metaworld-plate-slide-side features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 88672818 dataset_size: 309971200 - config_name: metaworld-push features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 146425498 dataset_size: 309971200 - config_name: metaworld-push-back features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 115758693 dataset_size: 309971200 - config_name: metaworld-push-wall features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 138978942 dataset_size: 309971200 - config_name: metaworld-reach features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 151264193 dataset_size: 309971200 - config_name: metaworld-reach-wall features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 153008204 dataset_size: 309971200 - config_name: metaworld-shelf-place features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 126421788 dataset_size: 309971200 - config_name: metaworld-soccer features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 139325515 dataset_size: 309971200 - config_name: metaworld-stick-pull features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 150611675 dataset_size: 309971200 - config_name: metaworld-stick-push features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 145549289 dataset_size: 309971200 - config_name: metaworld-sweep features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 144411349 dataset_size: 309971200 - config_name: metaworld-sweep-into features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 116977226 dataset_size: 309971200 - config_name: metaworld-window-close features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 82738762 dataset_size: 309971200 - config_name: metaworld-window-open features: - name: continuous_observations sequence: sequence: float32 length: 39 - name: continuous_actions sequence: sequence: float32 length: 4 - name: rewards sequence: float32 splits: - name: train num_bytes: 281792000 num_examples: 16000 - name: test num_bytes: 28179200 num_examples: 1600 download_size: 82547802 dataset_size: 309971200 - config_name: mujoco-ant features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 1334666176 num_examples: 9000 - name: test num_bytes: 149007264 num_examples: 1000 download_size: 1427489194 dataset_size: 1483673440 - config_name: mujoco-doublependulum features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 539380200 num_examples: 9000 - name: test num_bytes: 59838360 num_examples: 1000 download_size: 423057943 dataset_size: 599218560 - config_name: mujoco-halfcheetah features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 936108000 num_examples: 9000 - name: test num_bytes: 104012000 num_examples: 1000 download_size: 983767586 dataset_size: 1040120000 - config_name: mujoco-hopper features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 277504480 num_examples: 9000 - name: test num_bytes: 30493476 num_examples: 1000 download_size: 291016996 dataset_size: 307997956 - config_name: mujoco-humanoid features: - name: continuous_observations sequence: sequence: float32 - name: rewards sequence: float32 - name: continuous_actions sequence: sequence: float32 splits: - name: train num_bytes: 12855318192 num_examples: 9000 - name: test num_bytes: 1436554272 num_examples: 1000 download_size: 10321727430 dataset_size: 14291872464 - config_name: mujoco-pendulum features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 137118592 num_examples: 9000 - name: test num_bytes: 15128704 num_examples: 1000 download_size: 107926228 dataset_size: 152247296 - config_name: mujoco-pusher features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 118908000 num_examples: 9000 - name: test num_bytes: 13212000 num_examples: 1000 download_size: 124763158 dataset_size: 132120000 - config_name: mujoco-reacher features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 28908000 num_examples: 9000 - name: test num_bytes: 3212000 num_examples: 1000 download_size: 34000959 dataset_size: 32120000 - config_name: mujoco-standup features: - name: rewards sequence: float32 - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 splits: - name: train num_bytes: 14256108000 num_examples: 9000 - name: test num_bytes: 1584012000 num_examples: 1000 download_size: 1163281621 dataset_size: 15840120000 - config_name: mujoco-swimmer features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 468108000 num_examples: 9000 - name: test num_bytes: 52012000 num_examples: 1000 download_size: 459798751 dataset_size: 520120000 - config_name: mujoco-walker features: - name: continuous_observations sequence: sequence: float32 - name: continuous_actions sequence: sequence: float32 - name: rewards sequence: float32 splits: - name: train num_bytes: 858590040 num_examples: 9000 - name: test num_bytes: 95183024 num_examples: 1000 download_size: 892883623 dataset_size: 953773064 - config_name: ok-vqa features: - name: images dtype: image - name: text dtype: string splits: - name: train num_bytes: 149757863.0 num_examples: 9009 - name: test num_bytes: 84544434.0 num_examples: 5046 download_size: 233832618 dataset_size: 234302297.0 - config_name: oscar features: - name: text dtype: string splits: - name: train num_bytes: 978937483730 num_examples: 232133013 - name: test num_bytes: 59798696914 num_examples: 12329126 download_size: 0 dataset_size: 1038736180644 - config_name: wikipedia features: - name: text dtype: string splits: - name: train num_bytes: 19645170178.22369 num_examples: 6452211 - name: test num_bytes: 19665840.77630859 num_examples: 6459 download_size: 11644655073 dataset_size: 19664836019.0 --- # JAT Dataset ## Dataset Description The Jack of All Trades (JAT) dataset combines a wide range of individual datasets. It includes expert demonstrations by expert RL agents, image and caption pairs, textual data and more. The JAT dataset is part of the JAT project, which aims to build a multimodal generalist agent. **Paper**: https://huggingface.co/papers/2402.09844 ### Usage ```python >>> from datasets import load_dataset >>> dataset = load_dataset("jat-project/jat-dataset", "metaworld-assembly") >>> first_episode = dataset["train"][0] >>> first_episode.keys() dict_keys(['continuous_observations', 'continuous_actions', 'rewards']) >>> len(first_episode["rewards"]) 500 >>> first_episode["continuous_actions"][0] [6.459120273590088, 2.2422609329223633, -5.914587020874023, -19.799840927124023] ``` ## Dataset Structure ### Data Instances <details> <summary>Click to expand the score information for each task</summary> The following table presents a comparative analysis of scores across various domains and tasks. The scores highlight the performance difference between a random agent and the episodes recorded in our dataset. | Task | Random Agent Score | Dataset Episode Score | | ----------------------------------- | :-----------------: | :-------------------: | | **Atari** | | | | atari-alien | 205.50 ± 111.97 | 16912.50 ± 7087.42 | | atari-amidar | 2.38 ± 2.50 | 2164.71 ± 1229.47 | | atari-assault | 262.50 ± 89.61 | 15699.12 ± 9572.12 | | atari-asterix | 213.50 ± 110.87 | 3699.62 ± 2421.30 | | atari-asteroids | 856.40 ± 434.32 | 177011.05 ± 35334.20 | | atari-atlantis | 17764.00 ± 6662.43 | 320679.59 ± 418247.37 | | atari-bankheist | 13.40 ± 11.07 | 1322.43 ± 60.84 | | atari-battlezone | 2170.00 ± 2121.58 | 295592.59 ± 161960.96 | | atari-beamrider | 357.28 ± 143.97 | 29589.35 ± 16132.96 | | atari-berzerk | 160.10 ± 118.87 | 57085.26 ± 13104.53 | | atari-bowling | 23.81 ± 6.07 | 20.40 ± 7.29 | | atari-boxing | 0.52 ± 4.37 | 97.97 ± 3.77 | | atari-breakout | 1.24 ± 1.30 | 702.97 ± 203.62 | | atari-centipede | 2150.06 ± 1113.28 | 11624.29 ± 4918.34 | | atari-choppercommand | 875.00 ± 416.98 | 90990.62 ± 270876.93 | | atari-crazyclimber | 7376.00 ± 2253.09 | 179296.94 ± 39862.06 | | atari-defender | 3417.50 ± 1443.41 | 351958.33 ± 40466.82 | | atari-demonattack | 165.55 ± 92.93 | 92195.25 ± 26174.79 | | atari-doubledunk | -18.54 ± 3.07 | 20.94 ± 3.65 | | atari-enduro | 0.00 ± 0.00 | 2292.22 ± 147.54 | | atari-fishingderby | -93.90 ± 3.51 | 7.18 ± 25.06 | | atari-freeway | 0.01 ± 0.10 | 33.88 ± 0.35 | | atari-frostbite | 67.60 ± 37.61 | 13196.12 ± 4341.00 | | atari-gopher | 319.40 ± 228.24 | 81676.15 ± 46329.48 | | atari-gravitar | 188.50 ± 203.33 | 3986.57 ± 1729.05 | | atari-hero | 475.25 ± 894.95 | 44677.35 ± 1754.42 | | atari-icehockey | -9.83 ± 3.24 | 25.17 ± 5.79 | | atari-jamesbond | 28.50 ± 45.42 | 27786.89 ± 33819.20 | | atari-kangaroo | 52.00 ± 108.15 | 574.05 ± 636.94 | | atari-krull | 1754.00 ± 583.56 | 11439.83 ± 1218.34 | | atari-kungfumaster | 390.00 ± 359.03 | 32392.81 ± 10006.55 | | atari-montezumarevenge | 0.00 ± 0.00 | 393.53 ± 50.45 | | atari-mspacman | 246.40 ± 121.22 | 6896.08 ± 2031.99 | | atari-namethisgame | 2447.40 ± 888.97 | 22991.18 ± 2473.15 | | atari-phoenix | 776.80 ± 635.86 | 424583.16 ± 97649.17 | | atari-pitfall | -259.75 ± 384.26 | -1.45 ± 4.50 | | atari-pong | -20.22 ± 0.95 | 20.99 ± 0.18 | | atari-privateeye | 41.65 ± 191.83 | 100.00 ± 0.00 | | atari-qbert | 164.25 ± 151.79 | 42971.37 ± 85070.72 | | atari-riverraid | 1474.40 ± 314.59 | 14800.94 ± 7924.56 | | atari-roadrunner | 11.00 ± 42.18 | 77942.80 ± 6088.62 | | atari-robotank | 1.87 ± 1.59 | 80.51 ± 13.28 | | atari-seaquest | 73.20 ± 57.91 | 2597.34 ± 386.09 | | atari-skiing | -16299.52 ± 1850.70 | -10738.06 ± 111.13 | | atari-solaris | 2360.40 ± 1852.03 | 1353.68 ± 516.96 | | atari-spaceinvaders | 137.20 ± 95.82 | 29425.29 ± 23623.89 | | atari-stargunner | 652.00 ± 312.24 | 360588.57 ± 49207.71 | | atari-surround | -9.99 ± 0.10 | 9.39 ± 0.85 | | atari-tennis | -23.95 ± 0.22 | 11.11 ± 7.57 | | atari-timepilot | 3396.00 ± 2128.85 | 69583.33 ± 29838.67 | | atari-tutankham | 12.73 ± 17.40 | 291.16 ± 30.37 | | atari-upndown | 358.90 ± 380.11 | 429418.33 ± 7187.43 | | atari-venture | 0.00 ± 0.00 | 0.00 ± 0.00 | | atari-videopinball | 23917.17 ± 19449.59 | 441507.92 ± 283264.62 | | atari-wizardofwor | 620.00 ± 837.85 | 49333.33 ± 16157.08 | | atari-yarsrevenge | 3503.91 ± 906.14 | 270262.86 ± 161815.96 | | atari-zaxxon | 21.00 ± 102.27 | 73097.22 ± 14825.77 | | **BabyAI** | | | | babyai-action-obj-door | 0.37 ± 0.39 | 0.99 ± 0.01 | | babyai-blocked-unlock-pickup | 0.00 ± 0.02 | 0.95 ± 0.01 | | babyai-boss-level | 0.06 ± 0.21 | 0.94 ± 0.05 | | babyai-boss-level-no-unlock | 0.06 ± 0.19 | 0.94 ± 0.05 | | babyai-find-obj-s5 | 0.08 ± 0.23 | 0.95 ± 0.04 | | babyai-go-to | 0.13 ± 0.29 | 0.92 ± 0.07 | | babyai-go-to-door | 0.45 ± 0.38 | 0.99 ± 0.00 | | babyai-go-to-imp-unlock | 0.08 ± 0.23 | 0.83 ± 0.13 | | babyai-go-to-local | 0.16 ± 0.30 | 0.93 ± 0.04 | | babyai-go-to-obj | 0.13 ± 0.27 | 0.93 ± 0.03 | | babyai-go-to-obj-door | 0.53 ± 0.39 | 0.99 ± 0.01 | | babyai-go-to-red-ball | 0.17 ± 0.30 | 0.93 ± 0.04 | | babyai-go-to-red-ball-grey | 0.12 ± 0.27 | 0.92 ± 0.05 | | babyai-go-to-red-ball-no-dists | 0.14 ± 0.28 | 0.93 ± 0.03 | | babyai-go-to-red-blue-ball | 0.12 ± 0.27 | 0.92 ± 0.05 | | babyai-go-to-seq | 0.08 ± 0.23 | 0.94 ± 0.05 | | babyai-key-corridor | 0.00 ± 0.00 | 0.91 ± 0.01 | | babyai-mini-boss-level | 0.07 ± 0.21 | 0.89 ± 0.10 | | babyai-move-two-across-s8n9 | 0.00 ± 0.00 | 0.96 ± 0.01 | | babyai-one-room-s8 | 0.08 ± 0.21 | 0.92 ± 0.03 | | babyai-open | 0.10 ± 0.24 | 0.95 ± 0.05 | | babyai-open-door | 0.23 ± 0.34 | 0.99 ± 0.00 | | babyai-open-doors-order-n4 | 0.16 ± 0.30 | 0.99 ± 0.01 | | babyai-open-red-door | 0.08 ± 0.21 | 0.92 ± 0.03 | | babyai-open-two-doors | 0.08 ± 0.20 | 0.98 ± 0.00 | | babyai-pickup | 0.08 ± 0.22 | 0.92 ± 0.07 | | babyai-pickup-above | 0.02 ± 0.09 | 0.91 ± 0.07 | | babyai-pickup-dist | 0.10 ± 0.24 | 0.86 ± 0.21 | | babyai-pickup-loc | 0.08 ± 0.23 | 0.91 ± 0.04 | | babyai-put-next | 0.00 ± 0.03 | 0.96 ± 0.01 | | babyai-put-next-local | 0.00 ± 0.05 | 0.92 ± 0.03 | | babyai-synth | 0.11 ± 0.26 | 0.93 ± 0.06 | | babyai-synth-loc | 0.13 ± 0.29 | 0.94 ± 0.06 | | babyai-synth-seq | 0.07 ± 0.20 | 0.95 ± 0.04 | | babyai-unblock-pickup | 0.08 ± 0.22 | 0.91 ± 0.08 | | babyai-unlock | 0.03 ± 0.15 | 0.87 ± 0.10 | | babyai-unlock-local | 0.01 ± 0.09 | 0.98 ± 0.01 | | babyai-unlock-pickup | 0.00 ± 0.00 | 0.75 ± 0.04 | | babyai-unlock-to-unlock | 0.00 ± 0.00 | 0.96 ± 0.00 | | **Meta-World** | | | | metaworld-assembly | 45.30 ± 4.13 | 245.99 ± 3.50 | | metaworld-basketball | 2.81 ± 1.24 | 627.99 ± 1.98 | | metaworld-bin-picking | 1.89 ± 0.45 | 425.58 ± 101.86 | | metaworld-box-close | 76.39 ± 17.91 | 512.49 ± 107.81 | | metaworld-button-press | 31.73 ± 5.20 | 643.10 ± 12.85 | | metaworld-button-press-topdown | 28.97 ± 10.37 | 490.18 ± 27.21 | | metaworld-button-press-topdown-wall | 29.04 ± 10.52 | 497.19 ± 31.37 | | metaworld-button-press-wall | 8.98 ± 3.99 | 675.41 ± 15.04 | | metaworld-coffee-button | 31.72 ± 6.36 | 731.08 ± 29.34 | | metaworld-coffee-pull | 4.09 ± 0.38 | 259.86 ± 88.48 | | metaworld-coffee-push | 4.17 ± 0.76 | 496.78 ± 118.20 | | metaworld-dial-turn | 29.64 ± 16.67 | 793.56 ± 80.06 | | metaworld-disassemble | 40.31 ± 7.53 | 42.83 ± 6.30 | | metaworld-door-close | 5.30 ± 1.33 | 529.75 ± 27.24 | | metaworld-door-lock | 112.35 ± 28.63 | 811.52 ± 34.07 | | metaworld-door-open | 56.37 ± 11.23 | 581.94 ± 19.67 | | metaworld-door-unlock | 94.17 ± 15.56 | 802.88 ± 17.05 | | metaworld-drawer-close | 116.73 ± 253.11 | 867.92 ± 4.48 | | metaworld-drawer-open | 126.85 ± 25.22 | 492.99 ± 2.52 | | metaworld-faucet-close | 253.12 ± 22.94 | 753.92 ± 13.42 | | metaworld-faucet-open | 244.10 ± 23.25 | 705.76 ± 7.15 | | metaworld-hammer | 95.33 ± 9.02 | 693.17 ± 34.62 | | metaworld-hand-insert | 2.75 ± 3.53 | 740.53 ± 36.69 | | metaworld-handle-press | 80.41 ± 110.19 | 855.91 ± 72.75 | | metaworld-handle-press-side | 57.00 ± 39.47 | 861.12 ± 20.01 | | metaworld-handle-pull | 10.34 ± 13.54 | 669.35 ± 24.81 | | metaworld-handle-pull-side | 2.13 ± 2.76 | 384.65 ± 102.89 | | metaworld-lever-pull | 60.31 ± 15.77 | 612.04 ± 38.85 | | metaworld-peg-insert-side | 1.71 ± 0.36 | 315.23 ± 140.07 | | metaworld-peg-unplug-side | 4.75 ± 2.83 | 456.12 ± 81.65 | | metaworld-pick-out-of-hole | 1.51 ± 0.24 | 219.61 ± 88.85 | | metaworld-pick-place | 1.61 ± 0.99 | 419.10 ± 98.19 | | metaworld-pick-place-wall | 0.00 ± 0.01 | 450.57 ± 64.10 | | metaworld-plate-slide | 74.64 ± 13.84 | 527.01 ± 155.34 | | metaworld-plate-slide-back | 33.47 ± 11.22 | 718.22 ± 87.41 | | metaworld-plate-slide-back-side | 34.34 ± 11.53 | 729.61 ± 69.15 | | metaworld-plate-slide-side | 22.61 ± 17.36 | 662.81 ± 102.81 | | metaworld-push | 5.51 ± 2.43 | 750.57 ± 43.98 | | metaworld-push-back | 1.21 ± 0.16 | 85.05 ± 107.12 | | metaworld-push-wall | 6.13 ± 3.17 | 748.87 ± 10.62 | | metaworld-reach | 149.67 ± 44.70 | 681.37 ± 133.68 | | metaworld-reach-wall | 143.26 ± 36.56 | 746.12 ± 104.19 | | metaworld-shelf-place | 0.00 ± 0.01 | 241.34 ± 24.60 | | metaworld-soccer | 5.66 ± 4.61 | 375.15 ± 140.24 | | metaworld-stick-pull | 2.64 ± 1.41 | 523.55 ± 18.94 | | metaworld-stick-push | 2.81 ± 1.04 | 627.95 ± 10.20 | | metaworld-sweep | 11.23 ± 7.28 | 494.85 ± 43.29 | | metaworld-sweep-into | 12.55 ± 10.72 | 799.21 ± 19.07 | | metaworld-window-close | 57.46 ± 7.11 | 591.30 ± 38.63 | | metaworld-window-open | 43.36 ± 2.09 | 590.82 ± 57.08 | | **MuJoCo** | | | | mujoco-ant | -59.95 ± 99.62 | 5846.42 ± 942.55 | | mujoco-doublependulum | 57.46 ± 17.54 | 9338.69 ± 352.61 | | mujoco-halfcheetah | -284.97 ± 79.83 | 7437.77 ± 173.30 | | mujoco-hopper | 18.38 ± 17.09 | 1858.73 ± 534.07 | | mujoco-humanoid | 122.02 ± 35.28 | 6281.02 ± 1795.84 | | mujoco-pendulum | 6.07 ± 3.47 | 475.40 ± 178.96 | | mujoco-pusher | -149.69 ± 7.41 | -25.21 ± 6.66 | | mujoco-reacher | -43.00 ± 3.91 | -5.68 ± 2.53 | | mujoco-standup | 33135.75 ± 2481.89 | 273574.16 ± 85253.26 | | mujoco-swimmer | 0.80 ± 10.71 | 92.18 ± 4.44 | | mujoco-walker | 2.68 ± 6.06 | 4631.22 ± 1059.01 | </details> ### Data Fields - `text`: a `string` feature - `images`: a `image` feature - `image_observations` : a `Sequence(image)` feature - `text_observations` : a `Sequence(string)` feature - `discrete_observations`: a `Sequence(Sequence(int64))` feature - `continuous_observations`: a `Sequence(Sequence(float32))` feature - `continuous_actions`: a `Sequence(Sequence(float32))` feature - `discrete_actions`: a `Sequence(int64)` feature - `rewards`: a `Sequence(float32)` feature ### Data Splits - `train`: `` examples - `test`: `` examples ## Dataset Creation This section describes how our dataset was created. We specifically detail how data for each domain and task were generated. The generation scripts are available in the [JAT repository](https://github.com/huggingface/jat). For RL tasks, we trained one agent per task using the [Sample Factory](https://www.samplefactory.dev). Then we used the trained agent to generate episodes. ### Atari We used the 57 [ALE/Atari](https://github.com/Farama-Foundation/Arcade-Learning-Environment) games as our environment, configuring the following parameters for our experiments. We rendered the images in grayscale with an 84x84 pixel resolution. The agent interacted with the environment every 4 frames. Sticky actions were not used, and the raw reward (no clipping) was reported. Episodes were stored as complete, i.e. with no termination on life loss. ### BabyAI We used BabyAI's implementation from [Minigrid](https://github.com/Farama-Foundation/Minigrid). We reused the [bot agent](https://github.com/mila-iqia/babyai) provided with BabyAI's paper and adapted it to the new Minigrid API. Using the bot, we generated 1.000.000 interractions for each of the 39 tasks of [Minigrid's BabyAI](https://minigrid.farama.org/environments/babyai/) and stored for each step: - the mission: str - the concatenation of the symbolic observation flattened and the direction: Array of integers of size (147,) - the action: integer - the reward: float ### Conceptual Captions The [Conceptual Captions](https://github.com/google-research-datasets/conceptual-captions/tree/master) dataset, offered by Google LLC, comprises pairs of image links and their corresponding captions. Each image has been downloaded and, when required, resized to ensure the maximum dimension does not exceed 352 pixels. ### Meta-World We used the 50 tasks from [Meta-World v2](https://github.com/Farama-Foundation/Metaworld). We constrained the episode to a duration of 100 timesteps, which is always sufficient to solve the task. ### MuJoCo We used the 11 environments of Gymnasium MuJoCo. ### OK-VQA The [OK-VQA](https://okvqa.allenai.org/index.html) dataset released by Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi was used. The data were formatted to match Hugging Face dataset's requirements and images were resized such that the largest dimension is at most 352. ### OSCAR We modified the "unshuffled_deduplicated_en" split of [OSCAR 2019](https://huggingface.co/datasets/oscar) dataset, initially put together by Pedro J. Ortiz, Benoît Sagot, and Laurent Romary and licensed under [CC BY 4.0](https://oscar-project.github.io/documentation/versions/oscar-2019/#license). We cleaned and deduplicated the dataset using [the methods](https://github.com/bigscience-workshop/data-preparation/tree/main/preprocessing/training/01b_oscar_cleaning_and_filtering) and parameters used for the [ROOTS dataset](https://arxiv.org/abs/2303.03915) (Lurençon et al., 2023). The dataset was splitted into 30 even shards each cleaned and deduplicated independently before being concatenated again. ### Wikipedia We used the english version of the [Wikipedia dataset](https://huggingface.co/datasets/wikipedia). ## Considerations for Using the Data ### Known Issues - Some BabyAI tasks are missing due to incompatibility with the training bot: - `babyai-key-in-box` - `babyai-go-to-imp-unlock` - `babyai-unlock-to-unlock` - `babyai-unlock` - For some atari tasks, the episode is too long, causing an `OverflowError` when loading the dataset: - `atari-enduro` - For some tasks, although the score can be higher than the random agent, we can't consider the task as solved: - `atari-bowling` - `atari-privateeye` - `atari-solaris` - `atari-venture` - `metaworld-bin-picking` - `metaworld-disassemble` - `metaworld-peg-insert-side` - `metaworld-plate-slide` - `metaworld-push-back` ### Future Developments We plan to expand the dataset to include the following additional domains: - [ ] DM Lab - [ ] Sokoban - [ ] Procgen - [ ] DM Control Suite (w and w/o pixels) ## Additional Information ### Licensing Information This dataset is release under the Apache 2.0 license. ### Citation Information ```bibtex @article{gallouedec2024jack, title = {{Jack of All Trades, Master of Some: a Multi-Purpose Transformer Agent}}, author = {Gallouédec, Quentin and Beeching, Edward and Romac, Clément and Dellandréa, Emmanuel}, journal = {arXiv preprint arXiv:2402.09844}, year = {2024}, url = {https://arxiv.org/abs/2402.09844} } ``` ## Acknowledgment We would like to extend our sincere gratitude to: - [Shengyi Costa Huang](https://huggingface.co/vwxyzjn) for his invaluable assistance with the pretrained models used in this research
提供机构:
jat-project
原始信息汇总

数据集概述

基本信息

  • 数据集名称: JAT-dataset
  • 许可证: Apache 2.0
  • 标注创建者: 发现和机器生成
  • 源数据集: conceptual-captions, ok-vqa, oscar
  • 任务类别: 强化学习, 文本生成, 问答

配置详情

数据集包含多个配置,每个配置对应不同的游戏或任务,并分为训练集和测试集。以下是部分配置的详细信息:

Atari 游戏配置

  • atari-alien
    • 训练集: atari-alien/train-*
    • 测试集: atari-alien/test-*
  • atari-amidar
    • 训练集: atari-amidar/train-*
    • 测试集: atari-amidar/test-*
  • atari-assault
    • 训练集: atari-assault/train-*
    • 测试集: atari-assault/test-*
  • atari-asterix
    • 训练集: atari-asterix/train-*
    • 测试集: atari-asterix/test-*
  • atari-asteroids
    • 训练集: atari-asteroids/train-*
    • 测试集: atari-asteroids/test-*
  • atari-atlantis
    • 训练集: atari-atlantis/train-*
    • 测试集: atari-atlantis/test-*
  • atari-bankheist
    • 训练集: atari-bankheist/train-*
    • 测试集: atari-bankheist/test-*
  • atari-battlezone
    • 训练集: atari-battlezone/train-*
    • 测试集: atari-battlezone/test-*
  • atari-beamrider
    • 训练集: atari-beamrider/train-*
    • 测试集: atari-beamrider/test-*
  • atari-berzerk
    • 训练集: atari-berzerk/train-*
    • 测试集: atari-berzerk/test-*
  • atari-bowling
    • 训练集: atari-bowling/train-*
    • 测试集: atari-bowling/test-*
  • atari-boxing
    • 训练集: atari-boxing/train-*
    • 测试集: atari-boxing/test-*
  • atari-breakout
    • 训练集: atari-breakout/train-*
    • 测试集: atari-breakout/test-*
  • atari-centipede
    • 训练集: atari-centipede/train-*
    • 测试集: atari-centipede/test-*
  • atari-choppercommand
    • 训练集: atari-choppercommand/train-*
    • 测试集: atari-choppercommand/test-*
  • atari-crazyclimber
    • 训练集: atari-crazyclimber/train-*
    • 测试集: atari-crazyclimber/test-*
  • atari-defender
    • 训练集: atari-defender/train-*
    • 测试集: atari-defender/test-*
  • atari-demonattack
    • 训练集: atari-demonattack/train-*
    • 测试集: atari-demonattack/test-*
  • atari-doubledunk
    • 训练集: atari-doubledunk/train-*
    • 测试集: atari-doubledunk/test-*
  • atari-enduro
    • 训练集: atari-enduro/train-*
    • 测试集: atari-enduro/test-*
  • atari-fishingderby
    • 训练集: atari-fishingderby/train-*
    • 测试集: atari-fishingderby/test-*
  • atari-freeway
    • 训练集: atari-freeway/train-*
    • 测试集: atari-freeway/test-*
  • atari-frostbite
    • 训练集: atari-frostbite/train-*
    • 测试集: atari-frostbite/test-*
  • atari-gopher
    • 训练集: atari-gopher/train-*
    • 测试集: atari-gopher/test-*
  • atari-gravitar
    • 训练集: atari-gravitar/train-*
    • 测试集: atari-gravitar/test-*
  • atari-hero
    • 训练集: atari-hero/train-*
    • 测试集: atari-hero/test-*
  • atari-icehockey
    • 训练集: atari-icehockey/train-*
    • 测试集: atari-icehockey/test-*
  • atari-jamesbond
    • 训练集: atari-jamesbond/train-*
    • 测试集: atari-jamesbond/test-*
  • atari-kangaroo
    • 训练集: atari-kangaroo/train-*
    • 测试集: atari-kangaroo/test-*
  • atari-krull
    • 训练集: atari-krull/train-*
    • 测试集: atari-krull/test-*
  • atari-kungfumaster
    • 训练集: atari-kungfumaster/train-*
    • 测试集: atari-kungfumaster/test-*
  • atari-montezumarevenge
    • 训练集: atari-montezumarevenge/train-*
    • 测试集: atari-montezumarevenge/test-*
  • atari-mspacman
    • 训练集: atari-mspacman/train-*
    • 测试集: atari-mspacman/test-*
  • atari-namethisgame
    • 训练集: atari-namethisgame/train-*
    • 测试集: atari-namethisgame/test-*
  • atari-phoenix
    • 训练集: atari-phoenix/train-*
    • 测试集: atari-phoenix/test-*
  • atari-pitfall
    • 训练集: atari-pitfall/train-*
    • 测试集: atari-pitfall/test-*
  • atari-pong
    • 训练集: atari-pong/train-*
    • 测试集: atari-pong/test-*
  • atari-privateeye
    • 训练集: atari-privateeye/train-*
    • 测试集: atari-privateeye/test-*
  • atari-qbert
    • 训练集: atari-qbert/train-*
    • 测试集: atari-qbert/test-*
  • atari-riverraid
    • 训练集: atari-riverraid/train-*
    • 测试集: atari-riverraid/test-*
  • atari-roadrunner
    • 训练集: atari-roadrunner/train-*
    • 测试集: atari-roadrunner/test-*
  • atari-robotank
    • 训练集: atari-robotank/train-*
    • 测试集: atari-robotank/test-*
  • atari-seaquest
    • 训练集: atari-seaquest/train-*
    • 测试集: atari-seaquest/test-*
  • atari-skiing
    • 训练集: atari-skiing/train-*
    • 测试集: atari-skiing/test-*
  • atari-solaris
    • 训练集: atari-solaris/train-*
    • 测试集: atari-solaris/test-*
  • atari-spaceinvaders
    • 训练集: atari-spaceinvaders/train-*
    • 测试集: atari-spaceinvaders/test-*
  • atari-stargunner
    • 训练集: atari-stargunner/train-*
    • 测试集: atari-stargunner/test-*
  • atari-surround
    • 训练集: atari-surround/train-*
    • 测试集: atari-surround/test-*
  • atari-tennis
    • 训练集: atari-tennis/train-*
    • 测试集: atari-tennis/test-*
  • atari-timepilot
    • 训练集: atari-timepilot/train-*
    • 测试集: atari-timepilot/test-*
  • atari-tutankham
    • 训练集: atari-tutankham/train-*
    • 测试集: atari-tutankham/test-*
  • atari-upndown
    • 训练集: atari-upndown/train-*
    • 测试集: atari-upndown/test-*
  • atari-venture
    • 训练集: atari-venture/train-*
    • 测试集: atari-venture/test-*
  • atari-videopinball
    • 训练集: atari-videopinball/train-*
    • 测试集: atari-videopinball/test-*
  • atari-wizardofwor
    • 训练集: atari-wizardofwor/train-*
    • 测试集: atari-wizardofwor/test-*
  • atari-yarsrevenge
    • 训练集: atari-yarsrevenge/train-*
    • 测试集: atari-yarsrevenge/test-*
  • atari-zaxxon
    • 训练集: atari-zaxxon/train-*
    • 测试集: atari-zaxxon/test-*

BabyAI 配置

  • babyai-action-obj-door
    • 训练集: babyai-action-obj-door/train-*
    • 测试集: babyai-action-obj-door/test-*
  • babyai-blocked-unlock-pickup
    • 训练集: babyai-blocked-unlock-pickup/train-*
    • 测试集: babyai-blocked-unlock-pickup/test-*
  • babyai-boss-level
    • 训练集: babyai-boss-level/train-*
    • 测试集: babyai-boss-level/test-*
  • babyai-boss-level-no-unlock
    • 训练集: babyai-boss-level-no-unlock/train-*
    • 测试集: babyai-boss-level-no-unlock/test-*
  • babyai-find-obj-s5
    • 训练集: babyai-find-obj-s5/train-*
    • 测试集: babyai-find-obj-s5/test-*
  • babyai-go-to
    • 训练集: babyai-go-to/train-*
    • 测试集: babyai-go-to/test-*
  • babyai-go-to-door
    • 训练集: babyai-go-to-door/train-*
    • 测试集: babyai-go-to-door/test-*
  • babyai-go-to-imp-unlock
    • 训练集: babyai-go-to-imp-unlock/train-*
    • 测试集: babyai-go-to-imp-unlock/test-*
  • babyai-go-to-local
    • 训练集: babyai-go-to-local/train-*
    • 测试集: babyai-go-to-local/test-*
  • babyai-go-to-obj
    • 训练集: babyai-go-to-obj/train-*
    • 测试集: babyai-go-to-obj/test-*
  • babyai-go-to-obj-door
    • 训练集: babyai-go-to-obj-door/train-*
    • 测试集: babyai-go-to-obj-door/test-*
  • babyai-go-to-red-ball
    • 训练集: babyai-go-to-red-ball/train-*
    • 测试集: babyai-go-to-red-ball/test-*
  • babyai-go-to-red-ball-grey
    • 训练集: babyai-go-to-red-ball-grey/train-*
    • 测试集: babyai-go-to-red-ball-grey/test-*
  • babyai-go-to-red-ball-no-dists
    • 训练集: babyai-go-to-red-ball-no-dists/train-*
    • 测试集: babyai-go-to-red-ball-no-dists/test-*
  • babyai-go-to-red-blue-ball
    • 训练集: babyai-go-to-red-blue-ball/train-*
    • 测试集: babyai-go-to-red-blue-ball/test-*
  • babyai-go-to-seq
    • 训练集: babyai-go-to-seq/train-*
    • 测试集: babyai-go-to-seq/test-*
  • babyai-key-corridor
    • 训练集: babyai-key-corridor/train-*
    • 测试集: babyai-key-corridor/test-*
  • babyai-mini-boss-level
    • 训练集: babyai-mini-boss-level/train-*
    • 测试集: babyai-mini-boss-level/test-*
  • babyai-move-two-across-s8n9
    • 训练集: babyai-move-two-across-s8n9/train-*
    • 测试集: babyai-move-two-across-s8n9/test-*
  • babyai-one-room-s8
    • 训练集: babyai-one-room-s8/train-*
    • 测试集: babyai-one-room-s8/test-*
  • babyai-open
    • 训练集: babyai-open/train-*
    • 测试集: babyai-open/test-*
  • babyai-open-door
    • 训练集: babyai-open-door/train-*
    • 测试集: babyai-open-door/test-*
  • babyai-open-doors-order-n4
    • 训练集: babyai-open-doors-order-n4/train-*
    • 测试集: babyai-open-doors-order-n4/test-*
  • babyai-open-red-door
    • 训练集: babyai-open-red-door/train-*
    • 测试集: babyai-open-red-door/test-*
  • babyai-open-two-doors
    • 训练集: babyai-open-two-doors/train-*
    • 测试集: babyai-open-two-doors/test-*
  • babyai-pickup
    • 训练集: babyai-pickup/train-*
    • 测试集: babyai-pickup/test-*
  • babyai-pickup-above
    • 训练集: babyai-pickup-above/train-*
    • 测试集: babyai-pickup-above/test-*
  • babyai-pickup-dist
    • 训练集: babyai-pickup-dist/train-*
    • 测试集: babyai-pickup-dist/test-*
  • babyai-pickup-loc
    • 训练集: babyai-pickup-loc/train-*
    • 测试集: babyai-pickup-loc/test-*
  • babyai-put-next
    • 训练集: babyai-put-next/train-*
    • 测试集: `babyai-put
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