id stringlengths 17 32 | benchmark stringclasses 3
values | scene stringlengths 6 22 | instruction stringlengths 24 364 | subtasks listlengths 1 10 | n_goals int32 1 10 | ordered bool 2
classes | family stringclasses 15
values | distractors listlengths 0 2 | objects listlengths 2 12 | revisits bool 2
classes | image_main imagewidth (px) 640 1.28k | image_wrist imagewidth (px) 1.28k 1.28k ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
robolab/CompBin10Task | robolab_comp | CompBin10Task | put the banana, both oranges, the lemon, the lime, the avocado, the onion, the lychee, the pumpkin and the pomegranate in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin.",
"put the orange pumpkin in the grey ... | 10 | false | single_dest | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"orange2",
"pomegranate",
"pumpkin"
] | false | ||
robolab/CompBin1Task | robolab_comp | CompBin1Task | put the banana in the bin. | [
"put the yellow banana in the grey bin."
] | 1 | false | single_dest | [] | [
"banana",
"bin"
] | false | ||
robolab/CompBin2DistractorTask | robolab_comp | CompBin2DistractorTask | put everything except the red block in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin."
] | 2 | false | distractor | [
"red_block"
] | [
"banana",
"bin",
"orange",
"red_block"
] | false | ||
robolab/CompBin2Task | robolab_comp | CompBin2Task | put the banana and the orange in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin."
] | 2 | false | single_dest | [] | [
"banana",
"bin",
"orange"
] | false | ||
robolab/CompBin4DistractorTask | robolab_comp | CompBin4DistractorTask | put everything except the red block and the blue block in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin."
] | 4 | false | distractor | [
"red_block",
"blue_block"
] | [
"banana",
"bin",
"blue_block",
"lemon",
"lime",
"orange",
"red_block"
] | false | ||
robolab/CompBin6Task | robolab_comp | CompBin6Task | put the banana, the orange, the lemon, the lime, the avocado and the onion in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin."
] | 6 | false | single_dest | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"onion",
"orange"
] | false | ||
robolab/CompIdentical2Task | robolab_comp | CompIdentical2Task | put both oranges in the bin | [
"put the orange in the grey bin.",
"put the orange in the grey bin."
] | 2 | false | identical | [] | [
"bin",
"orange_1",
"orange_2"
] | false | ||
robolab/CompIdentical4Task | robolab_comp | CompIdentical4Task | put the four limes in the bin | [
"put the green lime in the grey bin.",
"put the green lime in the grey bin.",
"put the green lime in the grey bin.",
"put the green lime in the grey bin."
] | 4 | false | identical | [] | [
"bin",
"lime_1",
"lime_2",
"lime_3",
"lime_4"
] | false | ||
robolab/CompOrderedBin10Task | robolab_comp | CompOrderedBin10Task | first put the pumpkin in the bin, then put the onion in the bin, then put the lime in the bin, then put the avocado in the bin, then put the lemon in the bin, then put the pomegranate in the bin, then put the lychee in the bin, then put the banana in the bin, then put the orange in the bin, then put the orange in the b... | [
"put the orange pumpkin in the grey bin.",
"put the red onion in the grey bin.",
"put the green lime in the grey bin.",
"put the avocado in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the red pomegranate in the grey bin.",
"put the lychee in the grey bin.",
"put the yellow banana in ... | 10 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"orange2",
"pomegranate",
"pumpkin"
] | false | ||
robolab/CompOrderedBin2Task | robolab_comp | CompOrderedBin2Task | first put the banana in the bin, then put the orange in the bin | [
"put the yellow banana in the grey bin.",
"put the orange in the grey bin."
] | 2 | true | ordered | [] | [
"banana",
"bin",
"orange"
] | false | ||
robolab/CompOrderedBin3Task | robolab_comp | CompOrderedBin3Task | first put the banana in the bin, then put the lemon in the bin, then put the orange in the bin | [
"put the yellow banana in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the orange in the grey bin."
] | 3 | true | ordered | [] | [
"banana",
"bin",
"lemon",
"orange"
] | false | ||
robolab/CompOrderedBin4Task | robolab_comp | CompOrderedBin4Task | first put the orange in the bin, then put the lemon in the bin, then put the lime in the bin, then put the banana in the bin | [
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the yellow banana in the grey bin."
] | 4 | true | ordered | [] | [
"banana",
"bin",
"lemon",
"lime",
"orange"
] | false | ||
robolab/CompOrderedBin5Task | robolab_comp | CompOrderedBin5Task | first put the avocado in the bin, then put the orange in the bin, then put the lemon in the bin, then put the lime in the bin, then put the banana in the bin | [
"put the avocado in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the yellow banana in the grey bin."
] | 5 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"orange"
] | false | ||
robolab/CompOrderedBin6Task | robolab_comp | CompOrderedBin6Task | first put the avocado in the bin, then put the orange in the bin, then put the lemon in the bin, then put the lime in the bin, then put the onion in the bin, then put the banana in the bin | [
"put the avocado in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the red onion in the grey bin.",
"put the yellow banana in the grey bin."
] | 6 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"onion",
"orange"
] | false | ||
robolab/CompOrderedBin7Task | robolab_comp | CompOrderedBin7Task | first put the avocado in the bin, then put the orange in the bin, then put the lemon in the bin, then put the lime in the bin, then put the onion in the bin, then put the banana in the bin, then put the lychee in the bin | [
"put the avocado in the grey bin.",
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the red onion in the grey bin.",
"put the yellow banana in the grey bin.",
"put the lychee in the grey bin."
] | 7 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange"
] | false | ||
robolab/CompOrderedBin8Task | robolab_comp | CompOrderedBin8Task | first put the orange in the bin, then put the pumpkin in the bin, then put the lychee in the bin, then put the lemon in the bin, then put the lime in the bin, then put the banana in the bin, then put the onion in the bin, then put the avocado in the bin | [
"put the orange in the grey bin.",
"put the orange pumpkin in the grey bin.",
"put the lychee in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the yellow banana in the grey bin.",
"put the red onion in the grey bin.",
"put the avocado in the grey ... | 8 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"pumpkin"
] | false | ||
robolab/CompOrderedBin9Task | robolab_comp | CompOrderedBin9Task | first put the onion in the bin, then put the orange in the bin, then put the pumpkin in the bin, then put the lychee in the bin, then put the lemon in the bin, then put the lime in the bin, then put the banana in the bin, then put the avocado in the bin, then put the orange in the bin | [
"put the red onion in the grey bin.",
"put the orange in the grey bin.",
"put the orange pumpkin in the grey bin.",
"put the lychee in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the yellow banana in the grey bin.",
"put the avocado in the grey ... | 9 | true | ordered | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"orange2",
"pumpkin"
] | false | ||
robolab/CompPlate1Task | robolab_comp | CompPlate1Task | put the banana on the plate. | [
"put the yellow banana on the white plate."
] | 1 | false | single_dest | [] | [
"banana",
"plate"
] | false | ||
robolab/CompRelay2Task | robolab_comp | CompRelay2Task | first put the lemon on the plate, then put the lemon in the bin, then put the lime on the plate, then put the lime in the bin | [
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin."
] | 2 | true | relay | [] | [
"bin",
"lemon",
"lime",
"plate"
] | true | ||
robolab/CompRelay3Task | robolab_comp | CompRelay3Task | first put the lemon on the plate, then put the lemon in the bin, then put the lime on the plate, then put the lime in the bin, then put the banana on the plate, then put the banana in the bin | [
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin.",
"put the yellow banana on the white plate.",
"put the yellow banana in the grey bin."
] | 3 | true | relay | [] | [
"banana",
"bin",
"lemon",
"lime",
"plate"
] | true | ||
robolab/CompRelay4Task | robolab_comp | CompRelay4Task | first put the lemon on the plate, then put the lemon in the bin, then put the lime on the plate, then put the lime in the bin, then put the banana on the plate, then put the banana in the bin, then put the orange on the plate, then put the orange in the bin | [
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin.",
"put the yellow banana on the white plate.",
"put the yellow banana in the grey bin.",
"put the orange on the white plate.",
"put the or... | 4 | true | relay | [] | [
"banana",
"bin",
"lemon",
"lime",
"orange",
"plate"
] | true | ||
robolab/CompRelay5Task | robolab_comp | CompRelay5Task | first put the lemon on the plate, then put the lemon in the bin, then put the lime on the plate, then put the lime in the bin, then put the banana on the plate, then put the banana in the bin, then put the orange on the plate, then put the orange in the bin, then put the avocado on the plate, then put the avocado in th... | [
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin.",
"put the yellow banana on the white plate.",
"put the yellow banana in the grey bin.",
"put the orange on the white plate.",
"put the or... | 5 | true | relay | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"orange",
"plate"
] | true | ||
robolab/CompRevisit1Task | robolab_comp | CompRevisit1Task | first put the lemon in the bin, then put the lemon on the plate, then put the lemon in the bin | [
"put the yellow lemon in the grey bin.",
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin."
] | 1 | true | revisit | [] | [
"bin",
"lemon",
"plate"
] | true | ||
robolab/CompRevisit2Task | robolab_comp | CompRevisit2Task | first put the lemon in the bin, then put the lemon on the plate, then put the lemon in the bin, then put the lime in the bin, then put the lime on the plate, then put the lime in the bin | [
"put the yellow lemon in the grey bin.",
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin."
] | 2 | true | revisit | [] | [
"bin",
"lemon",
"lime",
"plate"
] | true | ||
robolab/CompRevisit3Task | robolab_comp | CompRevisit3Task | first put the lemon in the bin, then put the lemon on the plate, then put the lemon in the bin, then put the lime in the bin, then put the lime on the plate, then put the lime in the bin, then put the banana in the bin, then put the banana on the plate, then put the banana in the bin | [
"put the yellow lemon in the grey bin.",
"put the yellow lemon on the white plate.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin.",
"put the green lime on the white plate.",
"put the green lime in the grey bin.",
"put the yellow banana in the grey bin.",
"put the yello... | 3 | true | revisit | [] | [
"banana",
"bin",
"lemon",
"lime",
"plate"
] | true | ||
robolab/CompRoute10Task | robolab_comp | CompRoute10Task | put the banana, the lemon and the lime on the plate and put both oranges, the avocado, the onion, the lychee, the pumpkin and the pomegranate in the bin | [
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin.",
"put the orange pumpkin in ... | 10 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"orange2",
"plate",
"pomegranate",
"pumpkin"
] | false | ||
robolab/CompRoute2BinfirstTask | robolab_comp | CompRoute2BinfirstTask | put the orange in the bin and put the lemon on the plate | [
"put the orange in the grey bin.",
"put the yellow lemon on the white plate."
] | 2 | false | route | [] | [
"bin",
"lemon",
"orange",
"plate"
] | false | ||
robolab/CompRoute2Task | robolab_comp | CompRoute2Task | put the lemon on the plate and put the orange in the bin | [
"put the yellow lemon on the white plate.",
"put the orange in the grey bin."
] | 2 | false | route | [] | [
"bin",
"lemon",
"orange",
"plate"
] | false | ||
robolab/CompRoute3Task | robolab_comp | CompRoute3Task | put the lemon and the lime on the plate and put the orange in the bin | [
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin."
] | 3 | false | route | [] | [
"bin",
"lemon",
"lime",
"orange",
"plate"
] | false | ||
robolab/CompRoute4Task | robolab_comp | CompRoute4Task | put the lemon and the lime on the plate and put the orange and the avocado in the bin | [
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin."
] | 4 | false | route | [] | [
"avocado",
"bin",
"lemon",
"lime",
"orange",
"plate"
] | false | ||
robolab/CompRoute5Task | robolab_comp | CompRoute5Task | put the lemon, the lime and the banana on the plate and put the orange and the avocado in the bin | [
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the yellow banana on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin."
] | 5 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"orange",
"plate"
] | false | ||
robolab/CompRoute6Task | robolab_comp | CompRoute6Task | put the lemon, the lime and the banana on the plate and put the orange, the avocado and the onion in the bin | [
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the yellow banana on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin."
] | 6 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"onion",
"orange",
"plate"
] | false | ||
robolab/CompRoute7Task | robolab_comp | CompRoute7Task | put the banana, the lemon and the lime on the plate and put the orange, the avocado, the onion and the lychee in the bin | [
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin."
] | 7 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"plate"
] | false | ||
robolab/CompRoute8Task | robolab_comp | CompRoute8Task | put the banana, the lemon and the lime on the plate and put the orange, the avocado, the onion, the lychee and the pumpkin in the bin | [
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin.",
"put the orange pumpkin in ... | 8 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"plate",
"pumpkin"
] | false | ||
robolab/CompRoute9Task | robolab_comp | CompRoute9Task | put the banana, the lemon and the lime on the plate and put both oranges, the avocado, the onion, the lychee and the pumpkin in the bin | [
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the avocado in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin.",
"put the orange pumpkin in ... | 9 | false | route | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"orange2",
"plate",
"pumpkin"
] | false | ||
robolab/CompSplitPlate2Task | robolab_comp | CompSplitPlate2Task | put the avocado on the plate and put the orange in the bin | [
"put the avocado on the white plate.",
"put the orange in the grey bin."
] | 2 | false | split_plate | [] | [
"avocado",
"bin",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate3Task | robolab_comp | CompSplitPlate3Task | put the avocado and the banana on the plate and put the orange in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the orange in the grey bin."
] | 3 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate4Task | robolab_comp | CompSplitPlate4Task | put the avocado and the banana on the plate and put the orange and the lime in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the orange in the grey bin.",
"put the green lime in the grey bin."
] | 4 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"lime",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate5Task | robolab_comp | CompSplitPlate5Task | put the avocado and the banana on the plate and put the orange, the onion and the lychee in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the orange in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin."
] | 5 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"lychee",
"onion",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate6Task | robolab_comp | CompSplitPlate6Task | put the avocado, the banana and the lemon on the plate and put the orange, the lime and the onion in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the orange in the grey bin.",
"put the green lime in the grey bin.",
"put the red onion in the grey bin."
] | 6 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"onion",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate7Task | robolab_comp | CompSplitPlate7Task | put the avocado, the banana and the lemon on the plate and put the orange, the lime, the onion and the lychee in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the orange in the grey bin.",
"put the green lime in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin."
] | 7 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"plate"
] | false | ||
robolab/CompSplitPlate8Task | robolab_comp | CompSplitPlate8Task | put the avocado, the banana, the lemon and the lime on the plate and put the orange, the onion, the lychee and the pumpkin in the bin | [
"put the avocado on the white plate.",
"put the yellow banana on the white plate.",
"put the yellow lemon on the white plate.",
"put the green lime on the white plate.",
"put the orange in the grey bin.",
"put the red onion in the grey bin.",
"put the lychee in the grey bin.",
"put the orange pumpkin ... | 8 | false | split_plate | [] | [
"avocado",
"banana",
"bin",
"lemon",
"lime",
"lychee",
"onion",
"orange",
"plate",
"pumpkin"
] | false | ||
robolab/CompTransfer2Task | robolab_comp | CompTransfer2Task | move the orange and the lemon from the plate to the bin | [
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin."
] | 2 | false | transfer | [] | [
"bin",
"lemon",
"orange",
"plate"
] | false | ||
robolab/CompTransfer3Task | robolab_comp | CompTransfer3Task | move the orange, the lemon and the lime from the plate to the bin | [
"put the orange in the grey bin.",
"put the yellow lemon in the grey bin.",
"put the green lime in the grey bin."
] | 3 | false | transfer | [] | [
"bin",
"lemon",
"lime",
"orange",
"plate"
] | false | ||
robotarena/scene36_1goal | robotarena_comp | scene36_1goal | put the fork in the pan. | [
"put the fork in the pan."
] | 1 | false | single_destination | [] | [
"toy fork_target",
"toy pan"
] | false | Not supported with pagination yet | |
robotarena/scene36_2goal | robotarena_comp | scene36_2goal | put the fork and the corn cob in the pan | [
"put the fork in the pan.",
"put the corn cob in the pan."
] | 2 | false | single_destination | [] | [
"toy corn cob",
"toy fork_target",
"toy pan"
] | false | Not supported with pagination yet | |
robotarena/scene45_1goal | robotarena_comp | scene45_1goal | put the blue bowl on the purple cloth. | [
"put the blue bowl on the purple cloth."
] | 1 | false | single_destination | [] | [
"blue bowl_target",
"purple cloth"
] | false | Not supported with pagination yet | |
robotarena/scene45_2goal | robotarena_comp | scene45_2goal | put the blue bowl and the sushi toy on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth."
] | 2 | false | single_destination | [] | [
"blue bowl_target",
"purple cloth",
"sushi toy"
] | false | Not supported with pagination yet | |
robotarena/scene45_3goal | robotarena_comp | scene45_3goal | put the blue bowl, the sushi toy and the banana on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth."
] | 3 | false | single_destination | [] | [
"blue bowl_target",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_4goal | robotarena_comp | scene45_4goal | put the blue bowl, the sushi toy, the cheese and the banana on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the cheese on the purple cloth.",
"put the banana on the purple cloth."
] | 4 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_5goal | robotarena_comp | scene45_5goal | put the blue bowl, the sushi toy, the cheese, the banana and the mushroom on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the cheese on the purple cloth.",
"put the banana on the purple cloth.",
"put the mushroom on the purple cloth."
] | 5 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_6goal | robotarena_comp | scene45_6goal | put the blue bowl, the sushi toy, the cheese, the banana, the mushroom and the corn cob on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the cheese on the purple cloth.",
"put the banana on the purple cloth.",
"put the mushroom on the purple cloth.",
"put the corn cob on the purple cloth."
] | 6 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"sushi toy",
"toy corn cob",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_all_2 | robotarena_comp | scene45_all_2 | put the blue bowl and the sushi toy on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth."
] | 2 | false | single_destination | [] | [
"blue bowl_target",
"purple cloth",
"sushi toy"
] | false | Not supported with pagination yet | |
robotarena/scene45_all_3 | robotarena_comp | scene45_all_3 | put the blue bowl, the sushi toy and the banana on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth."
] | 3 | false | single_destination | [] | [
"blue bowl_target",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_all_4 | robotarena_comp | scene45_all_4 | put the blue bowl, the sushi toy, the banana and the cheese on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth."
] | 4 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_all_5 | robotarena_comp | scene45_all_5 | put the blue bowl, the sushi toy, the banana, the cheese and the mushroom on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth.",
"put the mushroom on the purple cloth."
] | 5 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_all_6 | robotarena_comp | scene45_all_6 | put the blue bowl, the sushi toy, the banana, the cheese, the mushroom and the corn cob on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth.",
"put the mushroom on the purple cloth.",
"put the corn cob on the purple cloth."
] | 6 | false | single_destination | [] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"sushi toy",
"toy corn cob",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_except_2 | robotarena_comp | scene45_except_2 | put everything except the small can on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth."
] | 2 | false | exclusion | [
"small can"
] | [
"blue bowl_target",
"purple cloth",
"small can",
"sushi toy"
] | false | Not supported with pagination yet | |
robotarena/scene45_except_3 | robotarena_comp | scene45_except_3 | put everything except the small can on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth."
] | 3 | false | exclusion | [
"small can"
] | [
"blue bowl_target",
"purple cloth",
"small can",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_except_4 | robotarena_comp | scene45_except_4 | put everything except the small can on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth."
] | 4 | false | exclusion | [
"small can"
] | [
"blue bowl_target",
"cheese block_target",
"purple cloth",
"small can",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_except_5 | robotarena_comp | scene45_except_5 | put everything except the small can on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth.",
"put the mushroom on the purple cloth."
] | 5 | false | exclusion | [
"small can"
] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"small can",
"sushi toy",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene45_except_6 | robotarena_comp | scene45_except_6 | put everything except the small can on the purple cloth | [
"put the blue bowl on the purple cloth.",
"put the sushi toy on the purple cloth.",
"put the banana on the purple cloth.",
"put the cheese on the purple cloth.",
"put the mushroom on the purple cloth.",
"put the corn cob on the purple cloth."
] | 6 | false | exclusion | [
"small can"
] | [
"blue bowl_target",
"cheese block_target",
"mushroom toy",
"purple cloth",
"small can",
"sushi toy",
"toy corn cob",
"yellow banana_target"
] | false | Not supported with pagination yet | |
robotarena/scene50_3goal | robotarena_comp | scene50_3goal | put the stuffed animal, the blue block and the cheese in the pot | [
"put the stuffed animal in the pot.",
"put the blue block in the pot.",
"put the cheese in the pot."
] | 3 | false | single_destination | [] | [
"blue block",
"cheese block_target",
"metal pot_destination",
"stuffed animal_target"
] | false | Not supported with pagination yet | |
robotarena/scene54_1goal | robotarena_comp | scene54_1goal | put the spoon on the cloth. | [
"put the spoon on the cloth."
] | 1 | false | single_destination | [] | [
"cloth_destination",
"spoon_target"
] | false | Not supported with pagination yet | |
robotarena/scene54_2goal | robotarena_comp | scene54_2goal | put the spoon and the chicken drumstick on the cloth | [
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth."
] | 2 | false | single_destination | [] | [
"cloth_destination",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene54_2goal_ordered | robotarena_comp | scene54_2goal_ordered | first put the chicken drumstick on the cloth, then put the spoon on the cloth | [
"put the chicken drumstick on the cloth.",
"put the spoon on the cloth."
] | 2 | true | ordered | [] | [
"cloth_destination",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene54_3goal | robotarena_comp | scene54_3goal | put the spoon, the chicken drumstick and the pot on the cloth | [
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth.",
"put the pot on the cloth."
] | 3 | false | single_destination | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene54_3goal_ordered | robotarena_comp | scene54_3goal_ordered | first put the corn cob on the cloth, then put the spoon on the cloth, then put the chicken drumstick on the cloth | [
"put the corn cob on the cloth.",
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth."
] | 3 | true | ordered | [] | [
"cloth_destination",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | false | Not supported with pagination yet | |
robotarena/scene54_duplicates_2 | robotarena_comp | scene54_duplicates_2 | put both corn cobs on the cloth | [
"put the corn cob on the cloth.",
"put the corn cob on the cloth."
] | 2 | false | duplicates | [] | [
"cloth_destination",
"toy corn cob",
"toy corn cob copy"
] | false | Not supported with pagination yet | |
robotarena/scene54_duplicates_3 | robotarena_comp | scene54_duplicates_3 | put the three corn cobs on the cloth | [
"put the corn cob on the cloth.",
"put the corn cob on the cloth.",
"put the corn cob on the cloth."
] | 3 | false | duplicates | [] | [
"cloth_destination",
"toy corn cob",
"toy corn cob copy",
"toy corn cob copy 2"
] | false | Not supported with pagination yet | |
robotarena/scene54_except | robotarena_comp | scene54_except | put everything except the pot on the cloth | [
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth."
] | 2 | false | exclusion | [
"pot"
] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene54_except_3 | robotarena_comp | scene54_except_3 | put everything except the pot on the cloth | [
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth.",
"put the corn cob on the cloth."
] | 3 | false | exclusion | [
"pot"
] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | false | Not supported with pagination yet | |
robotarena/scene54_relay_2 | robotarena_comp | scene54_relay_2 | first put the spoon on the cloth, then put the spoon in the pot | [
"put the spoon on the cloth.",
"put the spoon in the pot."
] | 2 | true | relay | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_relay_4 | robotarena_comp | scene54_relay_4 | first put the spoon on the cloth, then put the spoon in the pot, then put the chicken drumstick on the cloth, then put the chicken drumstick in the pot | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the chicken drumstick on the cloth.",
"put the chicken drumstick in the pot."
] | 4 | true | relay | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_10 | robotarena_comp | scene54_revisit_10 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot."... | 10 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_3 | robotarena_comp | scene54_revisit_3 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth."
] | 3 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_6 | robotarena_comp | scene54_revisit_6 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth."
] | 6 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_7 | robotarena_comp | scene54_revisit_7 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth."
] | 7 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_8 | robotarena_comp | scene54_revisit_8 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the spoon in the pot | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the spoon in the pot."
] | 8 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_revisit_9 | robotarena_comp | scene54_revisit_9 | first put the spoon on the cloth, then put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth, then put the corn cob on the cloth, then put the corn cob in the pot, then put the corn c... | [
"put the spoon on the cloth.",
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth.",
"put the corn cob on the cloth.",
"put the corn cob in the pot.",
"put the corn co... | 9 | true | revisit | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | true | Not supported with pagination yet | |
robotarena/scene54_route_2 | robotarena_comp | scene54_route_2 | first put the spoon in the pot, then put the spoon on the cloth | [
"put the spoon in the pot.",
"put the spoon on the cloth."
] | 2 | true | relay | [] | [
"cloth_destination",
"pot",
"spoon_target"
] | true | Not supported with pagination yet | |
robotarena/scene54_route_4 | robotarena_comp | scene54_route_4 | first put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth | [
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth."
] | 4 | true | relay | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | true | Not supported with pagination yet | |
robotarena/scene54_route_6 | robotarena_comp | scene54_route_6 | first put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth, then put the corn cob in the pot, then put the corn cob on the cloth | [
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth.",
"put the corn cob in the pot.",
"put the corn cob on the cloth."
] | 6 | true | relay | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | true | Not supported with pagination yet | |
robotarena/scene54_route_7 | robotarena_comp | scene54_route_7 | first put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth, then put the corn cob in the pot, then put the corn cob on the cloth, then put the cheese on the cloth | [
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth.",
"put the corn cob in the pot.",
"put the corn cob on the cloth.",
"put the cheese on the cloth."
] | 7 | true | relay | [] | [
"cheese block_target",
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | true | Not supported with pagination yet | |
robotarena/scene54_route_8 | robotarena_comp | scene54_route_8 | first put the spoon in the pot, then put the spoon on the cloth, then put the chicken drumstick in the pot, then put the chicken drumstick on the cloth, then put the corn cob in the pot, then put the corn cob on the cloth, then put the cheese in the pot, then put the cheese on the cloth | [
"put the spoon in the pot.",
"put the spoon on the cloth.",
"put the chicken drumstick in the pot.",
"put the chicken drumstick on the cloth.",
"put the corn cob in the pot.",
"put the corn cob on the cloth.",
"put the cheese in the pot.",
"put the cheese on the cloth."
] | 8 | true | relay | [] | [
"cheese block_target",
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | true | Not supported with pagination yet | |
robotarena/scene54_split_2 | robotarena_comp | scene54_split_2 | put the spoon on the cloth and put the chicken drumstick in the pot | [
"put the spoon on the cloth.",
"put the chicken drumstick in the pot."
] | 2 | false | split | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene54_split_3 | robotarena_comp | scene54_split_3 | put the spoon and the corn cob on the cloth and put the chicken drumstick in the pot | [
"put the spoon on the cloth.",
"put the corn cob on the cloth.",
"put the chicken drumstick in the pot."
] | 3 | false | split | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick",
"toy corn cob"
] | false | Not supported with pagination yet | |
robotarena/scene54_transfer_2 | robotarena_comp | scene54_transfer_2 | move the spoon and the chicken drumstick from the cloth to the pot | [
"put the spoon in the pot.",
"put the chicken drumstick in the pot."
] | 2 | false | transfer | [] | [
"cloth_destination",
"pot",
"spoon_target",
"toy chicken drumstick"
] | false | Not supported with pagination yet | |
robotarena/scene76_1goal | robotarena_comp | scene76_1goal | put the metal pot on the yellow cloth. | [
"put the metal pot on the yellow cloth."
] | 1 | false | single_destination | [] | [
"metal pot_target",
"yellow cloth"
] | false | Not supported with pagination yet | |
robotarena/scene76_2goal | robotarena_comp | scene76_2goal | put the metal pot and the mushroom toy on the yellow cloth | [
"put the metal pot on the yellow cloth.",
"put the mushroom toy on the yellow cloth."
] | 2 | false | single_destination | [] | [
"metal pot_target",
"mushroom toy",
"yellow cloth"
] | false | Not supported with pagination yet | |
robotarena/scene76_2goal_ordered | robotarena_comp | scene76_2goal_ordered | first put the metal pot on the yellow cloth, then put the mushroom toy on the yellow cloth | [
"put the metal pot on the yellow cloth.",
"put the mushroom toy on the yellow cloth."
] | 2 | true | ordered | [] | [
"metal pot_target",
"mushroom toy",
"yellow cloth"
] | false | Not supported with pagination yet | |
simplerenv/all10_plate | simplerenv_comp | all10_plate | put the four carrots, the three spoons and the three eggplants on the plate | [
"put the carrot on the plate.",
"put the spoon on the plate.",
"put the eggplant on the plate.",
"put the carrot on the plate.",
"put the spoon on the plate.",
"put the eggplant on the plate.",
"put the carrot on the plate.",
"put the spoon on the plate.",
"put the eggplant on the plate.",
"put th... | 10 | false | single_destination | [] | [
"bridge_carrot_generated_modified#0",
"bridge_carrot_generated_modified#1",
"bridge_carrot_generated_modified#2",
"bridge_carrot_generated_modified#3",
"bridge_plate_objaverse_larger",
"bridge_spoon_generated_modified#0",
"bridge_spoon_generated_modified#1",
"bridge_spoon_generated_modified#2",
"egg... | false | Not supported with pagination yet | |
simplerenv/all10_towel | simplerenv_comp | all10_towel | put the four carrots, the three spoons and the three eggplants on the blue towel | [
"put the carrot on the blue towel.",
"put the spoon on the blue towel.",
"put the eggplant on the blue towel.",
"put the carrot on the blue towel.",
"put the spoon on the blue towel.",
"put the eggplant on the blue towel.",
"put the carrot on the blue towel.",
"put the spoon on the blue towel.",
"pu... | 10 | false | single_destination | [] | [
"bridge_carrot_generated_modified#0",
"bridge_carrot_generated_modified#1",
"bridge_carrot_generated_modified#2",
"bridge_carrot_generated_modified#3",
"bridge_spoon_generated_modified#0",
"bridge_spoon_generated_modified#1",
"bridge_spoon_generated_modified#2",
"eggplant#0",
"eggplant#1",
"eggpla... | false | Not supported with pagination yet | |
simplerenv/all1_plate | simplerenv_comp | all1_plate | put the carrot on the plate. | [
"put the carrot on the plate."
] | 1 | false | single_destination | [] | [
"bridge_carrot_generated_modified",
"bridge_plate_objaverse_larger"
] | false | Not supported with pagination yet | |
simplerenv/all1_towel | simplerenv_comp | all1_towel | put the spoon on the blue towel. | [
"put the spoon on the blue towel."
] | 1 | false | single_destination | [] | [
"bridge_spoon_generated_modified",
"table_cloth_generated_shorter"
] | false | Not supported with pagination yet | |
simplerenv/all2_plate | simplerenv_comp | all2_plate | put the carrot and the spoon on the plate | [
"put the carrot on the plate.",
"put the spoon on the plate."
] | 2 | false | single_destination | [] | [
"bridge_carrot_generated_modified",
"bridge_plate_objaverse_larger",
"bridge_spoon_generated_modified"
] | false | Not supported with pagination yet | |
simplerenv/all2_towel | simplerenv_comp | all2_towel | put the carrot and the spoon on the blue towel | [
"put the carrot on the blue towel.",
"put the spoon on the blue towel."
] | 2 | false | single_destination | [] | [
"bridge_carrot_generated_modified",
"bridge_spoon_generated_modified",
"table_cloth_generated_shorter"
] | false | Not supported with pagination yet | |
simplerenv/all3_plate | simplerenv_comp | all3_plate | put the carrot, the spoon and the eggplant on the plate | [
"put the carrot on the plate.",
"put the spoon on the plate.",
"put the eggplant on the plate."
] | 3 | false | single_destination | [] | [
"bridge_carrot_generated_modified",
"bridge_plate_objaverse_larger",
"bridge_spoon_generated_modified",
"eggplant"
] | false | Not supported with pagination yet | |
simplerenv/all3_towel | simplerenv_comp | all3_towel | put the carrot, the spoon and the eggplant on the blue towel | [
"put the carrot on the blue towel.",
"put the spoon on the blue towel.",
"put the eggplant on the blue towel."
] | 3 | false | single_destination | [] | [
"bridge_carrot_generated_modified",
"bridge_spoon_generated_modified",
"eggplant",
"table_cloth_generated_shorter"
] | false | Not supported with pagination yet | |
simplerenv/all4_plate | simplerenv_comp | all4_plate | put both carrots, the spoon and the eggplant on the plate | [
"put the carrot on the plate.",
"put the spoon on the plate.",
"put the eggplant on the plate.",
"put the carrot on the plate."
] | 4 | false | single_destination | [] | [
"bridge_carrot_generated_modified#0",
"bridge_carrot_generated_modified#1",
"bridge_plate_objaverse_larger",
"bridge_spoon_generated_modified",
"eggplant"
] | false | Not supported with pagination yet |
LongHorizon Orchestrator Benchmark
An offline benchmark for the judgements a manipulation orchestrator delegates to a vision-language model. An orchestrator wraps a frozen low-level policy and replaces a compound instruction ("put everything in the bin") with a stream of single-object subtasks; to do so it must plan (decompose the instruction into subtasks), verify (judge from pixels whether the current subtask is finished), track state (know which goals are already done), and — in its stepwise form — name the next subtask directly from the current frame. This dataset isolates each of those judgements so VLMs and orchestrator configurations can be ranked in minutes of API calls instead of hours of simulator rollouts. The top of the offline ranking is what earns a full closed-loop evaluation.
Everything is derived from three simulated long-horizon manipulation suites (SimplerEnv-Comp, WidowX; RobotArena-Comp, WidowX; RoboLab-Comp, Franka) and labeled by the simulator's own privileged per-goal predicate — the same signal that scores the closed-loop evals, so offline numbers and simulator numbers share one definition of success.
Configurations
| config | rows | unit | question |
|---|---|---|---|
decomposition |
143 | one reset frame + compound instruction per task | produce the full subtask plan |
subtask_states |
552 | one mid-episode frame + per-goal ground truth | is subtask X done? / which goals are done? / what next? |
The two configurations share task identity (benchmark, scene) and the reference plan
(subtasks), which is what lets a scorer cross-check one against the other (see Staying in
sync, below).
decomposition (143 tasks)
One row per task: the reset frame a deployed planner would see, the compound instruction, and the reference decomposition that defines success for that task.
| column | type | meaning |
|---|---|---|
id, benchmark, scene |
str | task identity; benchmark ∈ simplerenv_comp (54), robotarena_comp (47), robolab_comp (42) |
instruction |
str | the compound instruction the episode starts with |
subtasks |
list[str] | the reference plan — the environment's own goal list |
n_goals |
int | number of goals (1–10) |
ordered |
bool | whether success requires the goals in sequence |
revisits |
bool | whether a repeated line moves the same object again (relay/revisit legs) rather than a duplicate instance |
family, distractors |
str, list[str] | task family and non-goal objects in the scene |
image_main, image_wrist |
image | reset frame(s); image_wrist is RoboLab-only |
subtask_states (552 samples, ≤4 per task)
Mid-episode frames cut from recorded policy rollouts of the same suites, each carrying the full privileged goal state at that instant. One sample answers all three frame-level questions.
| column | type | meaning |
|---|---|---|
id, benchmark, scene, instruction, n_goals, ordered |
as above | |
subtasks |
list[str] | the reference plan in the episode's goal order — achieved indexes it |
achieved |
list[bool] | privileged per-goal state at this frame (the label for state tracking) |
query_idx |
int | which subtask this sample's verification question asks about |
label |
bool | achieved[query_idx] — the verification ground truth |
tags |
list[str] | what the frame shows: fresh (goal just completed), in_progress (mid-attempt, completes later), regressed (a completed goal was knocked undone), plus cold/terminal/held where applicable |
step, num_steps |
int | frame index and episode length |
arm, source |
str | which orchestrator variant produced the rollout, and the campaign cell it came from |
image_main, image_wrist |
image | camera view(s) at step; image_wrist is RoboLab-only |
Sampling rules that make a label trustworthy: samples are cut only where the goal vector is stable
for ±8 steps (the predicate settles a few steps after a release and can flicker while an object
rolls); in-progress negatives are cut 24 steps before a completion, clear of the ambiguous hover
phase; recordings whose frame count disagrees with the logged step count are refused whole. Frames
come from real rollouts of several orchestrator variants (flat, oracle, plan_periodic,
plan_gripper, plan_verifier_local) and both successful and failing episodes, so the state
distribution is the one a deployed verifier actually faces.
Per task the dataset keeps at most four samples — positives, in-progress negatives, and
regression frames where the task produced them — so a full sweep of every question over every
sample is a few hundred API calls. Ten further tasks (five per SimplerEnv/Comp and RobotArena/Comp
side) have no rollout yet that reaches them; each carries two cold samples cut from its own
reset frame (all goals undone by construction), tagged cold with arm: reset_frame, until
rollouts arrive.
The four benchmark tasks
| task | config | input | output | headline metrics |
|---|---|---|---|---|
| decomposition | decomposition |
reset frame + instruction | subtask list | exact, goals_missed, goals_invented, register, length |
| verification | subtask_states |
frame(s) + one subtask | done / not done | accuracy, precision, recall, FP/FN, per-tag and per-suite breakdowns |
| state_tracking | subtask_states |
frame(s) + full plan | done-flag per distinct subtask | per-goal accuracy, exact-frame rate |
| next_subtask | subtask_states |
frame(s) + compound instruction | one subtask | valid (names a still-undone goal; on ordered tasks, the next one), redundant (re-commands a finished goal), invalid, register |
Goal matching for decomposition and next_subtask is on (object, destination) head nouns with
multiplicity, so wording differences don't count as errors; a genuine synonym still scores as wrong,
which makes naming-error counts an upper bound. redundant deserves emphasis: it is the
bookkeeping failure an orchestrator pays real budget for (re-commanding finished work).
What is deliberately not covered: the trigger, withholding, revocation, and retry/defer policies. Those are deterministic code whose value depends on closed-loop dynamics (a verifier is queried on states its own decisions induced), so they remain simulator ablations. This benchmark ranks the models behind a variant; it does not replace the closed-loop comparison of scheduling rules.
How faithful is it to a real simulator eval?
The design rule is drive the shipped component, not a restatement. The reference scorer runs the
exact Decomposer, Verifier, and stepwise subtask generator classes the closed-loop evals run,
with their deployed prompts (not overridable — prompt tuning against this benchmark measured as
pure lexical leakage) and their deployed reply parsing. Sample frames are taken from real eval
recordings at deployment-relevant moments, and labels are the environment's own success predicate.
Known differences from the closed loop, stated so nobody discovers them the hard way:
next_subtaskcalls are history-free (each sample stands alone); the deployed stepwise generator also sees its own previous commands.- The verifier's delta-frame variant (previous query frame as occlusion evidence) is not benchmarkable in v1 — samples carry no previous-query frame.
- Labels inherit the predicate's semantics: an object held at the goal surface counts as placed, and shared targets check no contact force. Numbers are agreement with the environment, not with a human.
Current coverage (v2, 2026-09-11)
decomposition is complete: all 143 tasks. subtask_states covers all 143 tasks
(552 samples, 41.7% positive):
| suite | tasks with samples | samples | positives | note |
|---|---|---|---|---|
simplerenv_comp |
54 / 54 | 206 | 94 | 5 tasks are reset-frame cold fills (no rollout reaches them yet) |
robotarena_comp |
47 / 47 | 178 | 64 | 5 tasks are reset-frame cold fills |
robolab_comp |
42 / 42 | 168 | 72 | harvested from the Sep-9 reference-policy suite sweep |
Sample tags: fresh 229, in_progress 166, regressed 80, cold 69, terminal 8.
Producing arms: oracle/oracle_latched, plan_verifier_local, tiered/capx/tiptop reference policies.
Baseline results
v2 baselines on the current revision are running and replace this section when done. Below are the superseded v1 numbers (2026-08-20/21, 108-task / 171-sample revision, pre-unification prompts) for archaeology — do not compare them against v2: the tasks, the prompts, and the sample set all changed.
verification (171 samples):
| model | accuracy | precision | recall | backend |
|---|---|---|---|---|
| gemini-robotics-er-2-preview | 0.85 | 0.70 | 0.86 | gateway |
| gemini-3.6-flash | 0.81 | 0.63 | 0.94 | gateway |
| gemini-3.1-pro-preview | 0.80 | 0.61 | 0.96 | gateway |
| Qwen3-VL-32B-Instruct | 0.79 | 0.63 | 0.73 | local |
| Qwen3-VL-8B-Instruct | 0.77 | 0.59 | 0.83 | local |
| Qwen3-VL-2B-Instruct | 0.60 | 0.45 | 0.91 | local |
| gemma-3-4b-it | 0.36 | 0.32 | 1.00 | local |
The models fail differently, which is the discrimination this benchmark exists to expose: 3.1-pro
misses almost no completion but calls a third of the undone goals done; gemma-3-4b degenerates into
answering "done" to nearly everything (recall 1.00 at precision 0.32). False positives on
regressed frames are the expensive kind -- a verifier that cannot see a goal came undone never
triggers repair.
state_tracking and next_subtask (same models):
| model | per-goal accuracy | exact frames | next valid | redundant |
|---|---|---|---|---|
| gemini-robotics-er-2-preview | 0.89 | 124/171 | 141/171 | 9 |
| gemini-3.6-flash | 0.87 | 116/171 | 151/171 | 6 |
| gemini-3.1-pro-preview | 0.87 | 115/171 | 144/171 | 8 |
| Qwen3-VL-32B-Instruct | 0.81 | 104/171 | 118/171 | 21 |
| Qwen3-VL-8B-Instruct | 0.82 | 97/171 | 124/171 | 23 |
| Qwen3-VL-2B-Instruct | 0.44 | 26/171 | 102/171 | 16 |
| gemma-3-4b-it | 0.20 | 4/171 | 127/171 | 13 |
Note the dissociation: gemma-3-4b is catastrophic at verification yet beats Qwen3-VL-2B at generating the next subtask -- judging completion and proposing work are different capabilities, and an orchestrator can mix models per role. The same dissociation shows at the top: gemini-3.6-flash is only mid-field at verification yet generates the most valid next subtasks of any model tested (151/171), at a fraction of 3.1-pro's cost and latency.
decomposition (v1: full then-current 108 tasks, deployed prompt, --max-tokens 8192, temperature 0):
| model | exact plans | goals missed | goals invented | register | backend |
|---|---|---|---|---|---|
| gemini-3.1-pro-preview | 90/108 | 0.056 | 0.053 | 1.000 | gateway |
| gemini-3.6-flash | 83/108 | 0.081 | 0.077 | 1.000 | gateway |
| gemini-robotics-er-2-preview | 82/108 | 0.077 | 0.064 | 0.996 | gateway |
| Qwen3-VL-8B-Instruct | 70/108 | 0.160 | 8.15 | 0.999 | local |
| Qwen3-VL-32B-Instruct | 69/108 | 0.147 | 0.16 | 1.000 | local |
| gemma-3-4b-it | 63/108 | 0.194 | 2.34 | 0.999 | local |
| Qwen3-VL-2B-Instruct | 60/108 | 0.205 | 22.2 | 0.883 | local |
goals_invented > 1 is degeneration — a planner repeating lines until the token cap (a Qwen trait
below 32B; count degenerate scenes before comparing means). An earlier six-planner run on the
2026-08-05 92-task revision, for the record: exact plans of 92 — Qwen3-VL-2B 49, Gemma-3-4B 51,
Qwen3-VL-8B 55, Qwen3-VL-32B 57, Gemini 3 Flash 76, Gemini 3.1 Pro 74. The scoring rules and
caveats live with the reference scorer.
Does the offline score predict closed-loop outcomes?
Measured directly on the v1 revision (2026-08-20/21): the same six verifier models were dropped into otherwise identical closed-loop SimplerEnv-Comp evals — cached plans, same frozen policy, matched 12 units × 24 episodes per arm (288) — bracketed by a no-VLM floor (gripper-open heuristic) and a privileged-state oracle.
| in-loop verifier | offline verif. acc | in-loop P / R | closed-loop success |
|---|---|---|---|
| none — gripper heuristic (floor) | — | — | 0.378 |
| gemma-3-4b | 0.357 | 0.49 / 0.98 | 0.441 |
| Qwen3-VL-2B | 0.603 | 0.54 / 0.48 | 0.469 |
| Qwen3-VL-8B | 0.772 | 0.67 / 0.49 | 0.469 |
| gemini-3.1-pro | 0.801 | 0.63 / 0.76 | 0.493 |
| gemini-3.6-flash | 0.813 | 0.68 / 0.81 | 0.483 |
| gemini-robotics-er-2 | 0.847 | 0.71 / 0.72 | 0.517 |
| privileged oracle (reference) | — | — | 0.490 |
Spearman(offline verification accuracy, closed-loop success) = 0.89 across the six verifier arms, and the in-loop precision/recall preserve each model's offline failure signature (gemma's says-done-to-everything profile: offline R 1.00 / P 0.32 → in-loop R 0.98 / P 0.49). Three honest limits: the middle of the ranking compresses (Qwen 8B and 2B tie in the loop, and the two mid-field Gemini models swap within noise — 8B's recall halves on mid-attempt stream frames the offline flip-adjacent samples under-represent); the absolute spread is small because verification is not this policy's binding constraint (the privileged oracle itself only reaches 0.490 — within noise of the best VLM verifier); and per-arm SE is ≈0.03, so neighbouring rows are not individually separated. Use the offline score to rank and screen orchestrator VLMs — the top offline model was the top closed-loop model — not to forecast the size of the closed-loop gain, which depends on the policy.
Usage
With the datasets library:
from datasets import load_dataset
decomposition = load_dataset("petkopetkov/longhorizon-orchestrator-benchmark", "decomposition", split="train")
samples = load_dataset("petkopetkov/longhorizon-orchestrator-benchmark", "subtask_states", split="train")
sample = samples[0]
question = sample["subtasks"][sample["query_idx"]] # e.g. "put the banana in the bin"
truth = sample["label"] # simulator ground truth for that subtask
frame = sample["image_main"] # PIL image at that instant
A minimal verification eval with any chat-vision model (the deployed prompt — results are comparable across models only under it):
import json, re
PROMPT = (
"You are checking the CURRENT state of a robot tabletop scene from its camera views. The subtask "
"below moves ONE object to a goal location, and the scene may hold SEVERAL interchangeable "
"objects of that same kind. Count how many DISTINCT objects of the kind the subtask names are in "
"the subtask's END STATE RIGHT NOW -- at the goal location the subtask asks for, regardless of "
"how they got there. An object counts as placed when any part of it rests on the goal location, "
"INCLUDING when partially hidden by the robot arm or other objects. An object the gripper is "
"still holding does NOT count, however close to the goal location it is held: the release is not "
"yet a placement and it is the release that most often fails. An object away from the goal "
"location, or lifted well above it, is not counted. Count each "
"physical object at most once, however many views show it. First write one short line listing "
'what you counted, then output STRICT JSON: {"count": <integer>}.'
)
correct = 0
for sample in samples:
images = [img for img in (sample["image_main"], sample["image_wrist"]) if img is not None]
subtask = sample["subtasks"][sample["query_idx"]]
required = sample["subtasks"][: sample["query_idx"] + 1].count(subtask)
reply = my_vlm(PROMPT, f"Subtask: {subtask}", images)
verdict = json.loads(re.search(r"\{.*\}", reply, re.DOTALL).group(0))["count"] >= required
correct += verdict == sample["label"]
print(f"verification accuracy: {correct}/{len(samples)}")
For state tracking, ask the same question once per distinct subtask string; a duplicated
subtask ("put the carrot on the plate" ×3) counts as done only when all of its instances are, since
a yes/no on the text cannot single out one instance. For next_subtask, send the compound
instruction instead and check the reply against the unachieved entries of
zip(subtasks, achieved) — exclude samples where all(achieved).
Provenance and staying in sync
The decomposition rows are rendered by each suite's export_scenes tool directly from its task
registry; the subtask_states rows are cut from recorded eval episodes and validated, at harvest
time, against those same manifests. The harvester, reference scorer and tools live in-tree at
barrel/components/inference/api/client/metrics/tools/{export,score}_subtask_states.py and
score_decomposition.py (2026-09-11 revision, commit be4a8729f plus the orchestrator-benchmark
fixes). The reference scorer re-validates every sample against the
decomposition config at load time and refuses to score on drift. So when a task changes:
re-export its suite's scenes, republish decomposition, and every stale sample fails loudly until
re-harvested from post-change recordings. Rows carry provenance (arm, source, step) so any
label can be traced to the exact recording frame it came from.
Rules
- No privileged input: a scorer gets the frames and the text a robot would have — never the scene's object list.
- No prompt tuning against these tasks: measured on the decomposition task, prompt rewrites gained nothing once the dataset's object nouns were removed; report deployed-prompt numbers.
- Don't starve reasoning models of tokens: hidden thinking counts against
max_tokens, and a truncated reply is indistinguishable from a wrong one. Decomposition uses 8192 by default.
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