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values | question stringlengths 20 896 | answer stringlengths 1 890 | answer_type stringclasses 5
values | choices listlengths 0 4 | source stringclasses 13
values | source_id stringlengths 3 107 | metadata_json stringlengths 45 1.53k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
feasibility_sphere_35.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_35_0.jpg | [
"reasoning/feasibility/sphere_manipulation_35_0.jpg"
] | Can the fruits fit completely within the blue plate? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 35.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"35.0","source_scene_id":"coco_test2017:39815","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","containment_or_volume_transfer","small_clearance_margin"],"visual_evidence_type":"containment_or_capacity","visual_verifiability":"counterfactu... | |
feasibility_sphere_38.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_38_0.jpg | [
"reasoning/feasibility/sphere_manipulation_38_0.jpg"
] | Can the pizza fit completely into the bowl? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 38.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"38.0","source_scene_id":"coco_test2017:40501","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","containment_or_volume_transfer","small_clearance_margin"],"visual_evidence_type":"containment_or_capacity","visual_verifiability":"counterfactu... | |
feasibility_sphere_4.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_4_0.jpg | [
"reasoning/feasibility/sphere_manipulation_4_0.jpg"
] | Can the standing man sit between the two people on the sofa? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 4.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"4.0","source_scene_id":"coco_test2017:456","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","small_clearance_margin"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiability":"counterf... | |
feasibility_sphere_40.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_40_0.jpg | [
"reasoning/feasibility/sphere_manipulation_40_0.jpg"
] | Can we place another plate onto the food tray? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 40.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"40.0","source_scene_id":"coco_test2017:40965","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiabilit... | |
feasibility_sphere_43.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_43_0.jpg | [
"reasoning/feasibility/sphere_manipulation_43_0.jpg"
] | From the perspective of the boy sitting on the road, can anyone pass along the road from his left side? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 43.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"43.0","source_scene_id":"coco_test2017:42198","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","clearance_estimation","perspective_variation"],"visual_evidence_type":"passage_or_clearance","visual_verifiability":"counterfactual_but_grounde... | |
feasibility_sphere_50.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_50_0.jpg | [
"reasoning/feasibility/sphere_manipulation_50_0.jpg"
] | Can another black cat lie on the first layer of a two-layer bench? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 50.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"50.0","source_scene_id":"coco_test2017:47146","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiabilit... | |
feasibility_sphere_51.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_51_0.jpg | [
"reasoning/feasibility/sphere_manipulation_51_0.jpg"
] | Is the garage behind tall enough to fit the giraffes? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 51.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"51.0","source_scene_id":"coco_test2017:47310","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","clearance_estimation","perspective_variation","multi_object_or_scaled_capacity"],"visual_evidence_type":"passage_or_clearance","visual_verifiab... | |
feasibility_sphere_52.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_52_0.jpg | [
"reasoning/feasibility/sphere_manipulation_52_0.jpg"
] | Observe that there are two slices of cakes and a cup of porridge on the plate, is it possible to put four slices of cake on an empty plate? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 52.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"52.0","source_scene_id":"coco_test2017:46803","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiabilit... | |
feasibility_sphere_58.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_58_0.jpg | [
"reasoning/feasibility/sphere_manipulation_58_0.jpg"
] | Is there enough space for another person to sit in the ski lift? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 58.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"58.0","source_scene_id":"coco_test2017:47483","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","clearance_estimation","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"passage_or_clearance","visual_verifia... | |
feasibility_sphere_61.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_61_0.jpg | [
"reasoning/feasibility/sphere_manipulation_61_0.jpg"
] | Is the white plate large enough to hold one slice of pizza completely inside? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 61.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"61.0","source_scene_id":"coco_test2017:47243","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","small_clearance_margin"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiability":"count... | |
feasibility_sphere_64.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_64_0.jpg | [
"reasoning/feasibility/sphere_manipulation_64_0.jpg"
] | Can we put another apple on the plate? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 64.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"64.0","source_scene_id":"coco_test2017:88693","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiabilit... | |
feasibility_sphere_65.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_65_0.jpg | [
"reasoning/feasibility/sphere_manipulation_65_0.jpg"
] | Is the room large enough to hold four beds? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 65.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"65.0","source_scene_id":"coco_test2017:49834","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiabilit... | |
feasibility_sphere_68.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_68_0.jpg | [
"reasoning/feasibility/sphere_manipulation_68_0.jpg"
] | Can the red suitcase be placed under the chair with brown surface? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 68.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"68.0","source_scene_id":"coco_test2017:50449","difficulty":"medium","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiability":"counterfactual_but_grounded_... | |
feasibility_sphere_70.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_70_0.jpg | [
"reasoning/feasibility/sphere_manipulation_70_0.jpg"
] | If the blue plastic basket is empty, can we put the white suitcase inside it? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 70.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"70.0","source_scene_id":"coco_test2017:52105","difficulty":"medium","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiability":"counterfactual_but_grounded_... | |
feasibility_sphere_73.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_73_0.jpg | [
"reasoning/feasibility/sphere_manipulation_73_0.jpg"
] | Will 5 bowls fit into the dish drainer side by side on its bottom layer? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 73.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"73.0","source_scene_id":"coco_test2017:54034","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","containment_or_volume_transfer","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"containment_or_capacity","v... | |
feasibility_sphere_77.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_77_0.jpg | [
"reasoning/feasibility/sphere_manipulation_77_0.jpg"
] | Is there enough room for people standing around the bench to all sit on the bench? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 77.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"77.0","source_scene_id":"coco_test2017:54848","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","clearance_estimation","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"passage_or_clearance","visual_verifia... | |
feasibility_sphere_82.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_82_0.jpg | [
"reasoning/feasibility/sphere_manipulation_82_0.jpg"
] | Can another mouse be put on the mat side by side with the existing ones? | no | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 82.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"82.0","source_scene_id":"coco_test2017:56617","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capac... | |
feasibility_sphere_83.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_83_0.jpg | [
"reasoning/feasibility/sphere_manipulation_83_0.jpg"
] | Can another laptop be put on the table side by side with the existing ones? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 83.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"83.0","source_scene_id":"coco_test2017:56745","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"placement_or_surface_capac... | |
feasibility_sphere_84.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_84_0.jpg | [
"reasoning/feasibility/sphere_manipulation_84_0.jpg"
] | Is there enough space to put four chairs around the table? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 84.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"84.0","source_scene_id":"coco_test2017:56774","difficulty":"hard","difficulty_factors":["mental_spatial_transformation","clearance_estimation","small_clearance_margin","multi_object_or_scaled_capacity"],"visual_evidence_type":"passage_or_clearance","visual_verifia... | |
feasibility_sphere_86.0 | reasoning | feasibility | reasoning/feasibility/sphere_manipulation_86_0.jpg | [
"reasoning/feasibility/sphere_manipulation_86_0.jpg"
] | Can we put the banana upright into the fruit blender? | yes | text | [
"no",
"yes"
] | SPHERE-VLM/object_manipulation | 86.0 | {"source":"SPHERE-VLM/object_manipulation","source_id":"86.0","source_scene_id":"coco_test2017:56862","difficulty":"medium","difficulty_factors":["mental_spatial_transformation","counterfactual_object_placement"],"visual_evidence_type":"placement_or_surface_capacity","visual_verifiability":"counterfactual_but_grounded_... | |
reasoning_multihop_0 | reasoning | multihop | reasoning/multihop/0.png | [
"reasoning/multihop/0.png"
] | The scene is viewed from a frontal perspective, where objects closer to the camera are considered 'front', and 'left' and 'right' correspond to the left and right of the frame.
Starting with an initial arrangement of objects, perform the following operation:
1. Place a blue cylinder between the blue cuboid and the red... | B | text | [] | VisWorld-Eval | reasoning_multihop_0 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_110 | reasoning | multihop | reasoning/multihop/110.png | [
"reasoning/multihop/110.png"
] | You are shown an initial arrangement of objects from a front-oblique angle. For reference, objects closer to the camera are considered 'front,' and the left and right sides of the image correspond to 'left' and 'right,' respectively.
Perform the following operation on the arrangement:
1. Place a white cylinder to the ... | C | text | [] | VisWorld-Eval | reasoning_multihop_110 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_117 | reasoning | multihop | reasoning/multihop/117.png | [
"reasoning/multihop/117.png"
] | Perform the following sequence of operations on an initial arrangement of objects. The scene is viewed from an oblique angle where objects closer to the camera are considered 'in front', and the 'left' and 'right' directions correspond to the viewer's perspective.
1. Place an orange sphere in front of the white spher... | D | text | [] | VisWorld-Eval | reasoning_multihop_117 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_12 | reasoning | multihop | reasoning/multihop/12.png | [
"reasoning/multihop/12.png"
] | The scene is viewed from an oblique front perspective. 'Front' refers to objects closer to the camera, while 'left' and 'right' correspond to the respective sides of the frame.
Starting with the initial arrangement, perform the following operation:
1. Place an orange cylinder to the right of the blue cylinder.
After ... | A | text | [] | VisWorld-Eval | reasoning_multihop_12 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_122 | reasoning | multihop | reasoning/multihop/122.png | [
"reasoning/multihop/122.png"
] | The scene is viewed from an oblique front perspective. "Front" refers to the direction closer to the camera, while "left" and "right" correspond to the left and right sides of the frame.
Starting with an initial arrangement of objects, perform the following operations in sequence:
1. Place a blue sphere to the left-fr... | D | text | [] | VisWorld-Eval | reasoning_multihop_122 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_123 | reasoning | multihop | reasoning/multihop/123.png | [
"reasoning/multihop/123.png"
] | Consider an initial arrangement of objects viewed from the front. In this perspective, 'front' refers to the side closest to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Perform the following operations in sequence:
1. Place a yellow cuboid in front of the yellow sphere.
2.... | B | text | [] | VisWorld-Eval | reasoning_multihop_123 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_136 | reasoning | multihop | reasoning/multihop/136.png | [
"reasoning/multihop/136.png"
] | Consider an arrangement of objects viewed from an oblique front perspective. In this view, "front" refers to the direction closer to the camera, while "left" and "right" correspond to the left and right sides of the frame, respectively.
Starting with an initial configuration of objects, perform the following operation... | D | text | [] | VisWorld-Eval | reasoning_multihop_136 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_145 | reasoning | multihop | reasoning/multihop/145.png | [
"reasoning/multihop/145.png"
] | Given an initial arrangement of objects viewed from an oblique front perspective, where 'front' is closer to the camera and 'left' and 'right' correspond to the sides of the frame, perform the following operations in order:
1. Place a red sphere to the back-right of the object that is closest to the front-left of the... | D | text | [] | VisWorld-Eval | reasoning_multihop_145 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_147 | reasoning | multihop | reasoning/multihop/147.png | [
"reasoning/multihop/147.png"
] | Begin with the initial arrangement of objects, viewed from an oblique front angle. In this scene, 'front' is closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Apply the following operations in the given order:
1. Place an orange cuboid behind the red cuboid.
2. Place a... | D | text | [] | VisWorld-Eval | reasoning_multihop_147 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_148 | reasoning | multihop | reasoning/multihop/148.png | [
"reasoning/multihop/148.png"
] | Starting with an initial arrangement of objects, perform the following operations in sequence. The scene is viewed from the front; objects closer to the camera are considered 'in front', while 'left' and 'right' correspond to the left and right sides of the frame.
1. Place a blue cuboid between the purple sphere and ... | B | text | [] | VisWorld-Eval | reasoning_multihop_148 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_153 | reasoning | multihop | reasoning/multihop/153.png | [
"reasoning/multihop/153.png"
] | Given an initial arrangement of objects viewed from an oblique front perspective, perform the following operations in sequence. For directional reference, 'front' means closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
1. Place a black cuboid to the right of the green... | D | text | [] | VisWorld-Eval | reasoning_multihop_153 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_157 | reasoning | multihop | reasoning/multihop/157.png | [
"reasoning/multihop/157.png"
] | Starting with the initial arrangement of objects, perform the following operations in sequence. The scene is viewed from an oblique front angle; objects closer to the camera are considered 'front', while 'left' and 'right' correspond to the left and right of the frame.
1. Place a rose sphere to the left-front of the ... | C | text | [] | VisWorld-Eval | reasoning_multihop_157 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_160 | reasoning | multihop | reasoning/multihop/160.png | [
"reasoning/multihop/160.png"
] | An initial arrangement of objects is viewed from an oblique front angle. In this perspective, "front" means closer to the camera, while "left" and "right" correspond to the sides of the frame.
Perform the following step:
1. Place a green sphere between the blue cylinder and the object closest to the left of the white ... | D | text | [] | VisWorld-Eval | reasoning_multihop_160 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_161 | reasoning | multihop | reasoning/multihop/161.png | [
"reasoning/multihop/161.png"
] | Assume the scene is viewed from an oblique front perspective. In this view, 'front' means closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Given an initial arrangement of objects, perform the following operation:
1. Place a yellow sphere to the right of the white cyli... | D | text | [] | VisWorld-Eval | reasoning_multihop_161 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_167 | reasoning | multihop | reasoning/multihop/167.png | [
"reasoning/multihop/167.png"
] | Consider an initial arrangement of objects viewed from an oblique front angle. For the purpose of this question, 'front' refers to the direction closest to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Execute the following operations in sequence:
1. Place a new gray sphere ... | D | text | [] | VisWorld-Eval | reasoning_multihop_167 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_17 | reasoning | multihop | reasoning/multihop/17.png | [
"reasoning/multihop/17.png"
] | An initial arrangement of objects is viewed from an oblique perspective. Objects closer to the camera are considered 'in front', while the left and right sides of the image correspond to 'left' and 'right'.
Perform the following operations in sequence on this arrangement:
1. Place a red cylinder behind and to the righ... | B | text | [] | VisWorld-Eval | reasoning_multihop_17 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_176 | reasoning | multihop | reasoning/multihop/176.png | [
"reasoning/multihop/176.png"
] | An arrangement of objects is viewed from a frontal perspective. In this view, 'front' means closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Perform the following operations in sequence:
1. Place a yellow cuboid to the left-front of the blue cylinder.
2. Change the bl... | D | text | [] | VisWorld-Eval | reasoning_multihop_176 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_178 | reasoning | multihop | reasoning/multihop/178.png | [
"reasoning/multihop/178.png"
] | The scene is viewed from an oblique front angle. 'Front' refers to objects closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Starting with the initial arrangement of objects, perform the following operations in sequence:
1. Place a blue cuboid to the right of the gray ... | C | text | [] | VisWorld-Eval | reasoning_multihop_178 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_180 | reasoning | multihop | reasoning/multihop/180.png | [
"reasoning/multihop/180.png"
] | Starting with an initial arrangement of objects, perform the following operations in sequence. The scene is viewed from an oblique front perspective: objects closer to the camera are considered 'in front', and the left and right sides of the scene correspond to the left and right of the frame.
1. Place a white cylind... | C | text | [] | VisWorld-Eval | reasoning_multihop_180 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_186 | reasoning | multihop | reasoning/multihop/186.png | [
"reasoning/multihop/186.png"
] | Starting with the initial arrangement of objects, perform the following operations in sequence. In this scene, 'front' refers to objects closer to the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
1. Place an orange cylinder to the left and in front of the white sphere.
2. Swa... | C | text | [] | VisWorld-Eval | reasoning_multihop_186 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_188 | reasoning | multihop | reasoning/multihop/188.png | [
"reasoning/multihop/188.png"
] | An arrangement of objects is viewed from an oblique front perspective. In this view, 'front' is the side closest to the camera, while 'left' and 'right' correspond to the left and right sides of the frame, respectively.
Execute the following operation on the initial arrangement:
1. Place a green cylinder to the left o... | D | text | [] | VisWorld-Eval | reasoning_multihop_188 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_196 | reasoning | multihop | reasoning/multihop/196.png | [
"reasoning/multihop/196.png"
] | Starting with an initial arrangement of objects viewed from an oblique front perspective, perform the following sequence of operations. In this context, objects closer to the camera are considered 'in front', while the left and right sides of the frame correspond to 'left' and 'right', respectively.
1. Place a gray c... | C | text | [] | VisWorld-Eval | reasoning_multihop_196 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_199 | reasoning | multihop | reasoning/multihop/199.png | [
"reasoning/multihop/199.png"
] | Given an initial arrangement of objects viewed from an oblique angle, perform the following operations in sequence. In this scene, objects closer to the camera are considered 'in front', while the left and right sides correspond to the left and right of the frame.
1. Identify the object closest to the right of the re... | D | text | [] | VisWorld-Eval | reasoning_multihop_199 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_204 | reasoning | multihop | reasoning/multihop/204.png | [
"reasoning/multihop/204.png"
] | The scene is viewed from an oblique front angle. Objects closer to the camera are considered 'front', while the left and right sides of the image correspond to 'left' and 'right' respectively.
Starting with an initial arrangement of objects, perform the following operations in sequence:
1. Place a red cylinder to th... | C | text | [] | VisWorld-Eval | reasoning_multihop_204 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_209 | reasoning | multihop | reasoning/multihop/209.png | [
"reasoning/multihop/209.png"
] | You are given an initial arrangement of objects viewed from an oblique front perspective. In this view, 'front' is the direction toward the camera, while 'left' and 'right' correspond to the left and right sides of the frame.
Perform the following operation on the initial arrangement:
1. Place a gray sphere to the lef... | A | text | [] | VisWorld-Eval | reasoning_multihop_209 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_21 | reasoning | multihop | reasoning/multihop/21.png | [
"reasoning/multihop/21.png"
] | Consider an initial arrangement of objects viewed from the front. In this perspective, objects closer to the camera are considered 'front', while 'left' and 'right' correspond to the left and right sides of the frame.
Apply the following operations in sequence:
1. Place a purple sphere to the left-front of the object... | B | text | [] | VisWorld-Eval | reasoning_multihop_21 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_218 | reasoning | multihop | reasoning/multihop/218.png | [
"reasoning/multihop/218.png"
] | Consider the initial arrangement of objects from an oblique front perspective. In this view, objects closer to the camera are in the 'front', while the 'left' and 'right' sides correspond to the left and right of the frame.
Execute the following operations in sequence:
1. Place a green sphere to the left-front of the ... | B | text | [] | VisWorld-Eval | reasoning_multihop_218 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_225 | reasoning | multihop | reasoning/multihop/225.png | [
"reasoning/multihop/225.png"
] | Consider the initial arrangement of objects from an oblique front perspective. "Front" is toward the camera, while "left" and "right" correspond to the sides of the frame.
Perform the following operations in sequence:
1. Place a blue cylinder to the right of the object that is immediately to the left of the gray cuboi... | D | text | [] | VisWorld-Eval | reasoning_multihop_225 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_237 | reasoning | multihop | reasoning/multihop/237.png | [
"reasoning/multihop/237.png"
] | Consider an initial arrangement of objects. The scene is viewed from the front, where 'front' is what is closest to the camera, and 'left' and 'right' correspond to the left and right sides of the frame.
Perform the following operations in sequence:
1. Place a white sphere to the left-front of the red sphere.
2. Place... | C | text | [] | VisWorld-Eval | reasoning_multihop_237 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_multihop_246 | reasoning | multihop | reasoning/multihop/246.png | [
"reasoning/multihop/246.png"
] | Assume a view from an oblique front perspective, where 'front' is the direction closest to the camera, and 'left' and 'right' correspond to the sides of the frame.
Given an initial arrangement of objects, perform the following operation:
1. Place a new blue sphere to the right-front of the object that is closest to th... | B | text | [] | VisWorld-Eval | reasoning_multihop_246 | {"category":"multihop","source":"VisWorld-Eval"} | |
reasoning_prediction_10 | reasoning | prediction | reasoning/prediction/10.png | [
"reasoning/prediction/10.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_10 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1001 | reasoning | prediction | reasoning/prediction/1001.png | [
"reasoning/prediction/1001.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_1001 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1002 | reasoning | prediction | reasoning/prediction/1002.png | [
"reasoning/prediction/1002.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_1002 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1009 | reasoning | prediction | reasoning/prediction/1009.png | [
"reasoning/prediction/1009.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 2 | integer | [] | VisWorld-Eval | reasoning_prediction_1009 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1013 | reasoning | prediction | reasoning/prediction/1013.png | [
"reasoning/prediction/1013.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_1013 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1014 | reasoning | prediction | reasoning/prediction/1014.png | [
"reasoning/prediction/1014.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_1014 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_1018 | reasoning | prediction | reasoning/prediction/1018.png | [
"reasoning/prediction/1018.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_1018 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_103 | reasoning | prediction | reasoning/prediction/103.png | [
"reasoning/prediction/103.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_103 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_105 | reasoning | prediction | reasoning/prediction/105.png | [
"reasoning/prediction/105.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 5 | integer | [] | VisWorld-Eval | reasoning_prediction_105 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_11 | reasoning | prediction | reasoning/prediction/11.png | [
"reasoning/prediction/11.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 5 | integer | [] | VisWorld-Eval | reasoning_prediction_11 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_115 | reasoning | prediction | reasoning/prediction/115.png | [
"reasoning/prediction/115.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 7 | integer | [] | VisWorld-Eval | reasoning_prediction_115 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_119 | reasoning | prediction | reasoning/prediction/119.png | [
"reasoning/prediction/119.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_119 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_130 | reasoning | prediction | reasoning/prediction/130.png | [
"reasoning/prediction/130.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_130 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_135 | reasoning | prediction | reasoning/prediction/135.png | [
"reasoning/prediction/135.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 2 | integer | [] | VisWorld-Eval | reasoning_prediction_135 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_14 | reasoning | prediction | reasoning/prediction/14.png | [
"reasoning/prediction/14.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 2 | integer | [] | VisWorld-Eval | reasoning_prediction_14 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_145 | reasoning | prediction | reasoning/prediction/145.png | [
"reasoning/prediction/145.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_145 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_149 | reasoning | prediction | reasoning/prediction/149.png | [
"reasoning/prediction/149.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_149 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_151 | reasoning | prediction | reasoning/prediction/151.png | [
"reasoning/prediction/151.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 2 | integer | [] | VisWorld-Eval | reasoning_prediction_151 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_156 | reasoning | prediction | reasoning/prediction/156.png | [
"reasoning/prediction/156.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_156 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_163 | reasoning | prediction | reasoning/prediction/163.png | [
"reasoning/prediction/163.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_163 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_164 | reasoning | prediction | reasoning/prediction/164.png | [
"reasoning/prediction/164.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_164 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_168 | reasoning | prediction | reasoning/prediction/168.png | [
"reasoning/prediction/168.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_168 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_169 | reasoning | prediction | reasoning/prediction/169.png | [
"reasoning/prediction/169.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 3 | integer | [] | VisWorld-Eval | reasoning_prediction_169 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_172 | reasoning | prediction | reasoning/prediction/172.png | [
"reasoning/prediction/172.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_172 | {"category":"ballgame","source":"VisWorld-Eval"} | |
reasoning_prediction_184 | reasoning | prediction | reasoning/prediction/184.png | [
"reasoning/prediction/184.png"
] |
In the given image:
1. There is a red ball and a green arrow; the arrow indicates the ball's initial direction of motion;
2. At the top of the image, there are several rectangular holes arranged horizontally, numbered from left to right starting at 1;
3. The black boundaries of the image represent solid walls. When t... | 4 | integer | [] | VisWorld-Eval | reasoning_prediction_184 | {"category":"ballgame","source":"VisWorld-Eval"} | |
interaction_affordance_101 | interaction | affordance | interaction/affordance/images/74.jpg | [
"interaction/affordance/images/74.jpg"
] | interaction/affordance/masks/object_affordance_img_74_anno_1.png | What part of a pan should be gripped to lift it safely? Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations ... | [[[0.573,0.591],[0.592,0.586],[0.575,0.512],[0.559,0.509]]] | mask | [] | RoboAfford-Eval | interaction_affordance_101 | {"category":"object affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_affordance_img_74_anno_1.png"} |
interaction_affordance_116 | interaction | affordance | interaction/affordance/images/89.jpg | [
"interaction/affordance/images/89.jpg"
] | interaction/affordance/masks/object_affordance_img_89_anno_1.png | What device can be held and manipulated to interact with video games? Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pi... | [[[0.157,0.758],[0.141,0.789],[0.161,0.842],[0.186,0.876],[0.211,0.906],[0.234,0.926],[0.257,0.926],[0.269,0.9],[0.269,0.872],[0.256,0.838],[0.242,0.808],[0.244,0.796],[0.255,0.772],[0.266,0.752],[0.282,0.722],[0.299,0.705],[0.309,0.688],[0.331,0.692],[0.356,0.698],[0.378,0.692],[0.385,0.662],[0.378,0.644],[0.353,0.624... | mask | [] | RoboAfford-Eval | interaction_affordance_116 | {"category":"object affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_affordance_img_89_anno_1.png"} |
interaction_affordance_125 | interaction | affordance | interaction/affordance/images/01.jpg | [
"interaction/affordance/images/01.jpg"
] | interaction/affordance/masks/object_reference_img_01_anno_1.png | Mark the the bottle nearest to the bowl in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of... | [[[0.646,0.671],[0.645,0.681],[0.641,0.69],[0.638,0.731],[0.638,0.761],[0.639,0.777],[0.646,0.784],[0.664,0.788],[0.671,0.781],[0.674,0.773],[0.681,0.709],[0.673,0.687],[0.676,0.668],[0.669,0.659],[0.662,0.657],[0.652,0.661]]] | mask | [] | RoboAfford-Eval | interaction_affordance_125 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_01_anno_1.png"} |
interaction_affordance_131 | interaction | affordance | interaction/affordance/images/06.jpg | [
"interaction/affordance/images/06.jpg"
] | interaction/affordance/masks/object_reference_img_06_anno_2.png | Pinpoint several points on the can farthest from the mug in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized p... | [[[0.659,0.172],[0.674,0.167],[0.689,0.165],[0.706,0.168],[0.708,0.263],[0.683,0.265],[0.657,0.262]]] | mask | [] | RoboAfford-Eval | interaction_affordance_131 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_06_anno_2.png"} |
interaction_affordance_138 | interaction | affordance | interaction/affordance/images/13.jpg | [
"interaction/affordance/images/13.jpg"
] | interaction/affordance/masks/object_reference_img_13_anno_1.png | Pinpoint several points on the can on the table in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel loca... | [[[0.65,0.005],[0.643,0.054],[0.637,0.11],[0.629,0.155],[0.641,0.167],[0.664,0.169],[0.674,0.167],[0.687,0.101],[0.699,0.023],[0.701,0.007]]] | mask | [] | RoboAfford-Eval | interaction_affordance_138 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_13_anno_1.png"} |
interaction_affordance_144 | interaction | affordance | interaction/affordance/images/15.jpg | [
"interaction/affordance/images/15.jpg"
] | interaction/affordance/masks/object_reference_img_15_anno_2.png | Identify the the bowl right to the peach in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations o... | [[[0.694,0.352],[0.658,0.387],[0.634,0.439],[0.637,0.502],[0.653,0.552],[0.695,0.61],[0.748,0.638],[0.808,0.648],[0.854,0.643],[0.903,0.596],[0.919,0.531],[0.907,0.441],[0.85,0.385],[0.806,0.359],[0.759,0.34]]] | mask | [] | RoboAfford-Eval | interaction_affordance_144 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_15_anno_2.png"} |
interaction_affordance_17 | interaction | affordance | interaction/affordance/images/12.jpg | [
"interaction/affordance/images/12.jpg"
] | interaction/affordance/masks/object_affordance_img_12_anno_2.png | What object can be used to input text and commands into a computer by pressing its keys? Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicatin... | [[[0.489,0.345],[0.592,0.43],[0.259,0.96],[0.118,0.805]]] | mask | [] | RoboAfford-Eval | interaction_affordance_17 | {"category":"object affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_affordance_img_12_anno_2.png"} |
interaction_affordance_173 | interaction | affordance | interaction/affordance/images/33.jpg | [
"interaction/affordance/images/33.jpg"
] | interaction/affordance/masks/object_reference_img_33_anno_1.png | Identify several points on the left window in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations... | [[[0.424,0.258],[0.419,0.418],[0.085,0.615],[0.051,0.486]]] | mask | [] | RoboAfford-Eval | interaction_affordance_173 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_33_anno_1.png"} |
interaction_affordance_18 | interaction | affordance | interaction/affordance/images/13.jpg | [
"interaction/affordance/images/13.jpg"
] | interaction/affordance/masks/object_affordance_img_13_anno_1.png | What part of the cabinet should be pulled to open it? Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of... | [[[0.628,0.455],[0.63,0.468],[0.615,0.468],[0.61,0.48],[0.63,0.484],[0.645,0.482],[0.661,0.48],[0.681,0.48],[0.704,0.48],[0.722,0.482],[0.735,0.48],[0.75,0.479],[0.739,0.47],[0.727,0.47],[0.724,0.457],[0.716,0.457],[0.718,0.47],[0.708,0.47],[0.699,0.47],[0.688,0.47],[0.672,0.47],[0.656,0.468],[0.642,0.47],[0.636,0.467]... | mask | [] | RoboAfford-Eval | interaction_affordance_18 | {"category":"object affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_affordance_img_13_anno_1.png"} |
interaction_affordance_180 | interaction | affordance | interaction/affordance/images/38.jpg | [
"interaction/affordance/images/38.jpg"
] | interaction/affordance/masks/object_reference_img_38_anno_2.png | Mark the the rightmost object in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the point... | [[[0.734,0.315],[0.715,0.34],[0.702,0.352],[0.71,0.387],[0.725,0.413],[0.727,0.427],[0.711,0.434],[0.713,0.453],[0.731,0.451],[0.757,0.441],[0.773,0.437],[0.803,0.437],[0.838,0.425],[0.847,0.392],[0.842,0.369],[0.836,0.326],[0.82,0.303],[0.799,0.286],[0.78,0.282],[0.761,0.284]]] | mask | [] | RoboAfford-Eval | interaction_affordance_180 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_38_anno_2.png"} |
interaction_affordance_182 | interaction | affordance | interaction/affordance/images/40.jpg | [
"interaction/affordance/images/40.jpg"
] | interaction/affordance/masks/object_reference_img_40_anno_1.png | Pinpoint the the chair right to the table in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations ... | [[[0.688,0.61],[0.697,0.582],[0.706,0.58],[0.718,0.545],[0.734,0.523],[0.743,0.505],[0.75,0.432],[0.764,0.413],[0.81,0.439],[0.854,0.453],[0.875,0.469],[0.886,0.479],[0.912,0.441],[0.93,0.425],[0.94,0.399],[0.954,0.373],[0.965,0.364],[0.974,0.354],[0.989,0.354],[0.995,0.345],[0.979,0.385],[0.97,0.427],[0.956,0.451],[0.... | mask | [] | RoboAfford-Eval | interaction_affordance_182 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_40_anno_1.png"} |
interaction_affordance_185 | interaction | affordance | interaction/affordance/images/43.jpg | [
"interaction/affordance/images/43.jpg"
] | interaction/affordance/masks/object_reference_img_43_anno_1.png | Spot several points on the leftmost object in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations... | [[[0.211,0.502],[0.165,0.472],[0.125,0.472],[0.097,0.491],[0.067,0.512],[0.042,0.559],[0.037,0.61],[0.037,0.636],[0.046,0.681],[0.062,0.714],[0.09,0.739],[0.148,0.737],[0.178,0.723],[0.21,0.718],[0.243,0.707],[0.262,0.692],[0.273,0.669],[0.275,0.643],[0.276,0.606],[0.264,0.582],[0.246,0.556]]] | mask | [] | RoboAfford-Eval | interaction_affordance_185 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_43_anno_1.png"} |
interaction_affordance_190 | interaction | affordance | interaction/affordance/images/48.jpg | [
"interaction/affordance/images/48.jpg"
] | interaction/affordance/masks/object_reference_img_48_anno_1.png | Highlight the the bottle left to the lamp in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations ... | [[[0.54,0.169],[0.525,0.183],[0.521,0.209],[0.521,0.256],[0.521,0.282],[0.535,0.286],[0.556,0.296],[0.57,0.308],[0.576,0.275],[0.577,0.232],[0.572,0.188],[0.565,0.169],[0.558,0.143],[0.556,0.124],[0.555,0.099],[0.542,0.106]]] | mask | [] | RoboAfford-Eval | interaction_affordance_190 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_48_anno_1.png"} |
interaction_affordance_195 | interaction | affordance | interaction/affordance/images/52.jpg | [
"interaction/affordance/images/52.jpg"
] | interaction/affordance/masks/object_reference_img_52_anno_1.png | Pinpoint several points on the below drawer in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel location... | [[[0.292,0.678],[0.303,0.716],[0.636,0.716],[0.639,0.674]]] | mask | [] | RoboAfford-Eval | interaction_affordance_195 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_52_anno_1.png"} |
interaction_affordance_206 | interaction | affordance | interaction/affordance/images/62.jpg | [
"interaction/affordance/images/62.jpg"
] | interaction/affordance/masks/object_reference_img_62_anno_1.png | Locate several points on the above blue box in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel location... | [[[0.343,0.185],[0.393,0.143],[0.442,0.171],[0.452,0.298],[0.415,0.326],[0.415,0.239],[0.4,0.225],[0.396,0.209]]] | mask | [] | RoboAfford-Eval | interaction_affordance_206 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_62_anno_1.png"} |
interaction_affordance_219 | interaction | affordance | interaction/affordance/images/80.jpg | [
"interaction/affordance/images/80.jpg"
] | interaction/affordance/masks/object_reference_img_80_anno_1.png | Select several points on the egg behind the bowl in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel loc... | [[[0.69,0.396],[0.675,0.406],[0.663,0.432],[0.673,0.463],[0.683,0.476],[0.702,0.486],[0.723,0.483],[0.742,0.473],[0.763,0.452],[0.756,0.414],[0.733,0.388],[0.708,0.386]]] | mask | [] | RoboAfford-Eval | interaction_affordance_219 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_80_anno_1.png"} |
interaction_affordance_220 | interaction | affordance | interaction/affordance/images/81.jpg | [
"interaction/affordance/images/81.jpg"
] | interaction/affordance/masks/object_reference_img_81_anno_1.png | Indicate the the bottle right to the pan in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations o... | [[[0.798,0.64],[0.792,0.671],[0.783,0.684],[0.785,0.715],[0.775,0.733],[0.771,0.763],[0.785,0.774],[0.8,0.781],[0.821,0.779],[0.825,0.748],[0.819,0.733],[0.827,0.717],[0.827,0.697],[0.823,0.684],[0.825,0.653],[0.825,0.638]]] | mask | [] | RoboAfford-Eval | interaction_affordance_220 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_81_anno_1.png"} |
interaction_affordance_221 | interaction | affordance | interaction/affordance/images/82.jpg | [
"interaction/affordance/images/82.jpg"
] | interaction/affordance/masks/object_reference_img_82_anno_1.png | Spot the the right sofa in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in t... | [[[0.708,0.172],[0.669,0.46],[0.671,0.496],[0.661,0.573],[0.675,0.684],[0.688,0.828],[0.708,0.972],[0.711,0.997],[1.001,0.997],[1.003,0.17],[0.754,0.165]]] | mask | [] | RoboAfford-Eval | interaction_affordance_221 | {"category":"object reference","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/object_reference_img_82_anno_1.png"} |
interaction_affordance_239 | interaction | affordance | interaction/affordance/images/01.jpg | [
"interaction/affordance/images/01.jpg"
] | interaction/affordance/masks/spatial_affordance_img_01_anno_1.jpg | Locate several points within the vacant space positioned to the left of the yellow mustard bottle. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1,... | [[0.722,0.841],[0.671,0.838],[0.573,0.84],[0.568,0.838],[0.47,0.834],[0.37,0.817],[0.373,0.806],[0.374,0.715],[0.381,0.705],[0.455,0.706],[0.625,0.705],[0.632,0.712],[0.63,0.755],[0.63,0.781],[0.673,0.786],[0.635,0.762],[0.674,0.775],[0.677,0.733],[0.677,0.724],[0.705,0.716]] | mask | [] | RoboAfford-Eval | interaction_affordance_239 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_01_anno_1.jpg"} |
interaction_affordance_251 | interaction | affordance | interaction/affordance/images/13.jpg | [
"interaction/affordance/images/13.jpg"
] | interaction/affordance/masks/spatial_affordance_img_13_anno_1.jpg | Locate a few spots within the unoccupied area inside the cabinet. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel ... | [[0.562,0.564],[0.564,0.551],[0.476,0.531],[0.494,0.52],[0.516,0.5],[0.538,0.504],[0.545,0.522],[0.569,0.516],[0.57,0.511],[0.569,0.501],[0.59,0.49],[0.594,0.489],[0.619,0.493],[0.641,0.491],[0.64,0.506],[0.648,0.521],[0.648,0.534],[0.705,0.534],[0.735,0.552],[0.726,0.554]] | mask | [] | RoboAfford-Eval | interaction_affordance_251 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_13_anno_1.jpg"} |
interaction_affordance_271 | interaction | affordance | interaction/affordance/images/33.jpg | [
"interaction/affordance/images/33.jpg"
] | interaction/affordance/masks/spatial_affordance_img_33_anno_1.jpg | Find a few points in the free space in front of the window on the left. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized ... | [[0.166,0.932],[0.141,0.865],[0.117,0.764],[0.1,0.695],[0.117,0.618],[0.178,0.58],[0.239,0.541],[0.292,0.505],[0.33,0.482],[0.402,0.434],[0.438,0.444],[0.481,0.493],[0.523,0.535],[0.568,0.594],[0.51,0.642],[0.444,0.697],[0.38,0.754],[0.31,0.81],[0.248,0.864],[0.209,0.895]] | mask | [] | RoboAfford-Eval | interaction_affordance_271 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_33_anno_1.jpg"} |
interaction_affordance_276 | interaction | affordance | interaction/affordance/images/38.jpg | [
"interaction/affordance/images/38.jpg"
] | interaction/affordance/masks/spatial_affordance_img_38_anno_1.jpg | Locate some points within the free area in between the plastic cup and the toy figure. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating ... | [[0.262,0.48],[0.27,0.404],[0.259,0.291],[0.233,0.232],[0.245,0.211],[0.3,0.197],[0.362,0.175],[0.414,0.153],[0.455,0.147],[0.495,0.132],[0.511,0.199],[0.495,0.281],[0.49,0.321],[0.545,0.338],[0.552,0.357],[0.503,0.376],[0.455,0.395],[0.429,0.408],[0.385,0.431],[0.325,0.449]] | mask | [] | RoboAfford-Eval | interaction_affordance_276 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_38_anno_1.jpg"} |
interaction_affordance_277 | interaction | affordance | interaction/affordance/images/39.jpg | [
"interaction/affordance/images/39.jpg"
] | interaction/affordance/masks/spatial_affordance_img_39_anno_1.jpg | Find a few points in the vacant area behind the black zip bag. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel loc... | [[0.191,0.0],[0.228,0.024],[0.196,0.038],[0.166,0.062],[0.154,0.129],[0.175,0.17],[0.191,0.2],[0.209,0.231],[0.229,0.279],[0.241,0.323],[0.282,0.335],[0.278,0.47],[0.238,0.448],[0.211,0.428],[0.157,0.412],[0.121,0.425],[0.101,0.448],[0.061,0.47],[0.077,0.059],[0.124,0.042]] | mask | [] | RoboAfford-Eval | interaction_affordance_277 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_39_anno_1.jpg"} |
interaction_affordance_282 | interaction | affordance | interaction/affordance/images/44.jpg | [
"interaction/affordance/images/44.jpg"
] | interaction/affordance/masks/spatial_affordance_img_44_anno_1.jpg | Locate several places within the free space to the rear of the sink in the front. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the n... | [[0.766,0.532],[0.511,0.53],[0.448,0.516],[0.437,0.502],[0.438,0.485],[0.43,0.462],[0.42,0.429],[0.419,0.42],[0.416,0.412],[0.421,0.404],[0.512,0.382],[0.654,0.381],[0.705,0.394],[0.717,0.403],[0.72,0.422],[0.73,0.444],[0.74,0.471],[0.751,0.49],[0.756,0.497],[0.759,0.511]] | mask | [] | RoboAfford-Eval | interaction_affordance_282 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_44_anno_1.jpg"} |
interaction_affordance_284 | interaction | affordance | interaction/affordance/images/46.jpg | [
"interaction/affordance/images/46.jpg"
] | interaction/affordance/masks/spatial_affordance_img_46_anno_1.jpg | Find some spots in the free space above the drawers. Your answer should be formatted as a list of tuples, i.e. [(x1, y1), (x2, y2), ...], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of ... | [[0.78,0.53],[0.7,0.522],[0.626,0.506],[0.623,0.471],[0.612,0.427],[0.61,0.402],[0.652,0.379],[0.716,0.358],[0.758,0.353],[0.748,0.398],[0.745,0.416],[0.746,0.44],[0.77,0.472],[0.793,0.479],[0.827,0.495],[0.855,0.497],[0.866,0.48],[0.88,0.489],[0.886,0.497],[0.889,0.514]] | mask | [] | RoboAfford-Eval | interaction_affordance_284 | {"category":"spatial affordance","source":"RoboAfford-Eval","mask":"interaction/affordance/masks/spatial_affordance_img_46_anno_1.jpg"} |
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