diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..28df5f900b358436f0267334b3e3e9af33f917ba --- /dev/null +++ b/.gitattributes @@ -0,0 +1,55 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.lz4 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +# Audio files - uncompressed +*.pcm filter=lfs diff=lfs merge=lfs -text +*.sam filter=lfs diff=lfs merge=lfs -text +*.raw filter=lfs diff=lfs merge=lfs -text +# Audio files - compressed +*.aac filter=lfs diff=lfs merge=lfs -text +*.flac filter=lfs diff=lfs merge=lfs -text +*.mp3 filter=lfs diff=lfs merge=lfs -text +*.ogg filter=lfs diff=lfs merge=lfs -text +*.wav filter=lfs diff=lfs merge=lfs -text +# Image files - uncompressed +*.bmp filter=lfs diff=lfs merge=lfs -text +*.gif filter=lfs diff=lfs merge=lfs -text +*.png filter=lfs diff=lfs merge=lfs -text +*.tiff filter=lfs diff=lfs merge=lfs -text +# Image files - compressed +*.jpg filter=lfs diff=lfs merge=lfs -text +*.jpeg filter=lfs diff=lfs merge=lfs -text +*.webp filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..78a11dec2af843db18884ad4b8b566a2518c378b --- /dev/null +++ b/README.md @@ -0,0 +1,4401 @@ +--- +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 + - 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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 + +
+ Click to expand the score information for each task + +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 | +
+ +### 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 \ No newline at end of file diff --git a/atari-alien/test-00000-of-00001-36c5954ee9266adf.parquet b/atari-alien/test-00000-of-00001-36c5954ee9266adf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..998ff68ab59db59039d1f37020a3e24daa53db4f --- /dev/null +++ b/atari-alien/test-00000-of-00001-36c5954ee9266adf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97168e284f739cef29485b7ae666936a19acbc78aaef83fb6cfb9e2fbeca42bc +size 139482052 diff --git a/atari-alien/train-00000-of-00003-b73146c613e64214.parquet b/atari-alien/train-00000-of-00003-b73146c613e64214.parquet new file mode 100644 index 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