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0
grid2d_d1
grid2d
1
all_different_part_color
scene_000006
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories:...
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories:...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_13", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with weapon whose color is not blue.", "object_ids": [0, 3], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the...
[[604.9107142857143, 613.8392857142857, 763.3928571428571, 794.6428571428571], [42.410714285714285, 843.75, 165.17857142857142, 993.3035714285714], [435.26785714285717, 821.4285714285714, 555.8035714285714, 986.6071428571429], [236.60714285714286, 415.17857142857144, 366.07142857142856, 604.9107142857143], [225.4464285...
1
grid2d_d1
grid2d
1
all_different_part_color
scene_000033
Follow these steps in order: S0 = the characters in the image with a red weapon. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a ...
Follow these steps in order: S0 = the characters in the image with a red weapon. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a ...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_0", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a red weapon.", "object_ids": [0, 7, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have different color...
[[236.60714285714286, 225.44642857142858, 368.30357142857144, 395.0892857142857], [51.339285714285715, 845.9821428571429, 145.08928571428572, 986.6071428571429], [42.410714285714285, 446.42857142857144, 142.85714285714286, 595.9821428571429], [250.0, 51.339285714285715, 359.375, 191.96428571428572], [828.125, 35.714285...
2
grid2d_d1
grid2d
1
all_different_part_color
scene_000081
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have different color categories ...
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have different color categories ...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_31", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible)...
[[625.0, 415.17857142857144, 754.4642857142857, 595.9821428571429], [424.10714285714283, 647.3214285714286, 542.4107142857143, 787.9464285714286], [53.57142857142857, 843.75, 154.01785714285714, 993.3035714285714], [845.9821428571429, 845.9821428571429, 939.7321428571429, 986.6071428571429], [241.07142857142858, 631.69...
3
grid2d_d1
grid2d
1
all_different_part_color
scene_000042
Follow these steps in order: S0 = the characters in the image whose beard and shoes are the same color. S1 = Do all characters in the group have different color categories for their beard from each other? Group: S0. Possible color categories for beard: red, green, blue, yellow, black. Note: Colors mean color categories...
Follow these steps in order: S0 = the characters in the image whose beard and shoes are the same color. S1 = Do all characters in the group have different color categories for their beard from each other? Group: S0. Possible color categories for beard: red, green, blue, yellow, black. Note: Colors mean color categories...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_25", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose beard and shoes are the same color.", "object_ids": [0, 1, 5], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characte...
[[225.44642857142858, 433.0357142857143, 361.60714285714283, 593.75], [622.7678571428571, 845.9821428571429, 741.0714285714286, 986.6071428571429], [823.6607142857143, 812.5, 982.1428571428571, 993.3035714285714], [837.0535714285714, 247.76785714285714, 937.5, 397.32142857142856], [848.2142857142857, 446.42857142857144...
4
grid2d_d1
grid2d
1
all_different_part_color
scene_000052
Follow these steps in order: S0 = the characters in the image with a blue long-sleeved jacket. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: eve...
Follow these steps in order: S0 = the characters in the image with a blue long-sleeved jacket. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: eve...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_2", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a blue long-sleeved jacket.", "object_ids": [8, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have diff...
[[845.9821428571429, 448.6607142857143, 964.2857142857143, 593.75], [227.67857142857142, 613.8392857142857, 375.0, 794.6428571428571], [448.6607142857143, 647.3214285714286, 566.9642857142857, 792.4107142857143], [225.44642857142858, 236.60714285714286, 343.75, 395.0892857142857], [448.6607142857143, 37.94642857142857,...
5
grid2d_d1
grid2d
1
all_different_part_color
scene_000062
Follow these steps in order: S0 = the characters in the image with shoes whose color is not white/gray. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color catego...
Follow these steps in order: S0 = the characters in the image with shoes whose color is not white/gray. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color catego...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_24", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with shoes whose color is not white/gray.", "object_ids": [0, 1, 2, 4, 5, 6, 7, 8, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 ...
[[647.3214285714286, 448.6607142857143, 741.0714285714286, 589.2857142857143], [406.25, 433.0357142857143, 542.4107142857143, 595.9821428571429], [426.3392857142857, 216.51785714285714, 555.8035714285714, 406.25], [604.9107142857143, 17.857142857142858, 763.3928571428571, 198.66071428571428], [625.0, 613.8392857142857,...
6
grid2d_d1
grid2d
1
all_different_part_color
scene_000066
Follow these steps in order: S0 = the characters in the image whose beard and long-sleeved jacket are the same color. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mea...
Follow these steps in order: S0 = the characters in the image whose beard and long-sleeved jacket are the same color. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mea...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_30", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose beard and long-sleeved jacket are the same color.", "object_ids": [5, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do a...
[[629.4642857142857, 250.0, 765.625, 395.0892857142857], [241.07142857142858, 843.75, 341.51785714285717, 993.3035714285714], [625.0, 613.8392857142857, 754.4642857142857, 803.5714285714286], [26.785714285714285, 821.4285714285714, 158.48214285714286, 991.0714285714286], [448.6607142857143, 448.6607142857143, 542.41071...
7
grid2d_d1
grid2d
1
all_different_part_color
scene_000054
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have different color categories...
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have different color categories...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_24", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible...
[[435.26785714285717, 17.857142857142858, 564.7321428571429, 198.66071428571428], [803.5714285714286, 843.75, 957.5892857142857, 993.3035714285714], [647.3214285714286, 250.0, 765.625, 395.0892857142857], [604.9107142857143, 446.42857142857144, 738.8392857142857, 595.9821428571429], [848.2142857142857, 49.1071428571428...
8
grid2d_d1
grid2d
1
all_different_part_color
scene_000018
Follow these steps in order: S0 = the characters in the image with a blue weapon. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a...
Follow these steps in order: S0 = the characters in the image with a blue weapon. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_11", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a blue weapon.", "object_ids": [0, 6, 8], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have different col...
[[625.0, 812.5, 754.4642857142857, 1002.2321428571429], [406.25, 247.76785714285714, 540.1785714285714, 397.32142857142856], [823.6607142857143, 812.5, 953.125, 993.3035714285714], [53.57142857142857, 446.42857142857144, 187.5, 595.9821428571429], [207.58928571428572, 812.5, 366.07142857142856, 993.3035714285714], [629...
9
grid2d_d1
grid2d
1
all_different_part_color
scene_000092
Follow these steps in order: S0 = the characters in the image with shoes whose color is not red. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: e...
Follow these steps in order: S0 = the characters in the image with shoes whose color is not red. S1 = Do all characters in the group have different color categories for their shoes from each other? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: e...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_20", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with shoes whose color is not red.", "object_ids": [0, 2, 3, 4, 5, 6, 7, 8, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do al...
[[450.89285714285717, 446.42857142857144, 584.8214285714286, 595.9821428571429], [252.23214285714286, 446.42857142857144, 352.67857142857144, 595.9821428571429], [629.4642857142857, 51.339285714285715, 758.9285714285714, 191.96428571428572], [31.25, 446.42857142857144, 171.875, 604.9107142857143], [430.80357142857144, ...
10
grid2d_d1
grid2d
1
all_same_part_color
scene_000034
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every...
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_18", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with long-sleeved jacket whose color is not blue.", "object_ids": [0, 3, 5], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all c...
[[406.25, 247.76785714285714, 540.1785714285714, 397.32142857142856], [426.3392857142857, 17.857142857142858, 555.8035714285714, 198.66071428571428], [232.14285714285714, 446.42857142857144, 375.0, 595.9821428571429], [830.3571428571429, 647.3214285714286, 939.7321428571429, 787.9464285714286], [243.30357142857142, 629...
11
grid2d_d1
grid2d
1
all_same_part_color
scene_000021
Follow these steps in order: S0 = the characters in the image with red hair on their head. S1 = Do all characters in the group have the same color category for their long-sleeved jacket? Group: S0. Possible color categories for long-sleeved jacket: red, green, blue, yellow. Note: Colors mean color categories: every sha...
Follow these steps in order: S0 = the characters in the image with red hair on their head. S1 = Do all characters in the group have the same color category for their long-sleeved jacket? Group: S0. Possible color categories for long-sleeved jacket: red, green, blue, yellow. Note: Colors mean color categories: every sha...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_2", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with red hair on their head.", "object_ids": [3, 5], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have the same...
[[845.9821428571429, 845.9821428571429, 955.3571428571429, 986.6071428571429], [53.57142857142857, 645.0892857142857, 187.5, 794.6428571428571], [647.3214285714286, 448.6607142857143, 765.625, 593.75], [448.6607142857143, 37.94642857142857, 542.4107142857143, 191.96428571428572], [53.57142857142857, 49.107142857142854,...
12
grid2d_d1
grid2d
1
all_same_part_color
scene_000082
Follow these steps in order: S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have the same color category for their shoes?...
Follow these steps in order: S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have the same color category for their shoes?...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_24", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_i...
[[42.410714285714285, 49.107142857142854, 158.48214285714286, 198.66071428571428], [241.07142857142858, 843.75, 352.67857142857144, 1002.2321428571429], [450.89285714285717, 49.107142857142854, 551.3392857142857, 198.66071428571428], [207.58928571428572, 446.42857142857144, 361.60714285714283, 595.9821428571429], [832....
13
grid2d_d1
grid2d
1
all_same_part_color
scene_000036
Follow these steps in order: S0 = the characters in the image whose hair on their head and shoes are the same color. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: ...
Follow these steps in order: S0 = the characters in the image whose hair on their head and shoes are the same color. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: ...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_38", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose hair on their head and shoes are the same color.", "object_ids": [5, 6, 7], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do...
[[832.5892857142857, 812.5, 962.0535714285714, 993.3035714285714], [207.58928571428572, 812.5, 366.07142857142856, 993.3035714285714], [37.94642857142857, 17.857142857142858, 167.41071428571428, 207.58928571428572], [647.3214285714286, 633.9285714285714, 763.3928571428571, 787.9464285714286], [424.10714285714283, 433.0...
14
grid2d_d1
grid2d
1
all_same_part_color
scene_000020
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a c...
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a c...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_15", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with weapon whose color is not blue.", "object_ids": [1, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the...
[[638.3928571428571, 446.42857142857144, 738.8392857142857, 595.9821428571429], [8.928571428571429, 216.51785714285714, 167.41071428571428, 397.32142857142856], [42.410714285714285, 433.0357142857143, 145.08928571428572, 595.9821428571429], [439.73214285714283, 49.107142857142854, 540.1785714285714, 198.66071428571428]...
15
grid2d_d1
grid2d
1
all_same_part_color
scene_000000
Follow these steps in order: S0 = the characters in the image with a black beard. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a color counts as th...
Follow these steps in order: S0 = the characters in the image with a black beard. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a color counts as th...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_14", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a black beard.", "object_ids": [1, 2], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have the same color c...
[[232.14285714285714, 647.3214285714286, 361.60714285714283, 787.9464285714286], [232.14285714285714, 446.42857142857144, 370.5357142857143, 604.9107142857143], [430.80357142857144, 435.26785714285717, 564.7321428571429, 589.2857142857143], [832.5892857142857, 216.51785714285714, 962.0535714285714, 397.32142857142856],...
16
grid2d_d1
grid2d
1
all_same_part_color
scene_000037
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and weapon are the same color. S1 = Do all characters in the group have the same color category for their long-sleeved jacket? Group: S0. Possible color categories for long-sleeved jacket: red, green, blue, yellow. Note: Colors mean...
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and weapon are the same color. S1 = Do all characters in the group have the same color category for their long-sleeved jacket? Group: S0. Possible color categories for long-sleeved jacket: red, green, blue, yellow. Note: Colors mean...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_34", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose long-sleeved jacket and weapon are the same color.", "object_ids": [7, 9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do ...
[[241.07142857142858, 645.0892857142857, 363.8392857142857, 794.6428571428571], [832.5892857142857, 622.7678571428571, 964.2857142857143, 792.4107142857143], [424.10714285714283, 424.10714285714283, 555.8035714285714, 593.75], [241.07142857142858, 49.107142857142854, 341.51785714285717, 198.66071428571428], [53.5714285...
17
grid2d_d1
grid2d
1
all_same_part_color
scene_000027
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have the same color category for their shoes?...
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = Do all characters in the group have the same color category for their shoes?...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_30", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_i...
[[250.0, 51.339285714285715, 343.75, 191.96428571428572], [640.625, 629.4642857142857, 750.0, 794.6428571428571], [33.482142857142854, 247.76785714285714, 171.875, 397.32142857142856], [832.5892857142857, 622.7678571428571, 964.2857142857143, 792.4107142857143], [638.3928571428571, 49.107142857142854, 738.8392857142857...
18
grid2d_d1
grid2d
1
all_same_part_color
scene_000045
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a c...
Follow these steps in order: S0 = the characters in the image with weapon whose color is not blue. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a c...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_14", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with weapon whose color is not blue.", "object_ids": [0, 6], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the...
[[629.4642857142857, 845.9821428571429, 765.625, 991.0714285714286], [638.3928571428571, 234.375, 741.0714285714286, 397.32142857142856], [53.57142857142857, 627.2321428571429, 154.01785714285714, 794.6428571428571], [845.9821428571429, 51.339285714285715, 939.7321428571429, 191.96428571428572], [426.3392857142857, 216...
19
grid2d_d1
grid2d
1
all_same_part_color
scene_000039
Follow these steps in order: S0 = the characters in the image with yellow hair on their head. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a color ...
Follow these steps in order: S0 = the characters in the image with yellow hair on their head. S1 = Do all characters in the group have the same color category for their shoes? Group: S0. Possible color categories for shoes: red, green, blue, white/gray, black. Note: Colors mean color categories: every shade of a color ...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_3", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with yellow hair on their head.", "object_ids": [1, 2, 6], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = Do all characters in the group have th...
[[622.7678571428571, 631.6964285714286, 741.0714285714286, 792.4107142857143], [406.25, 613.8392857142857, 564.7321428571429, 794.6428571428571], [433.0357142857143, 37.94642857142857, 542.4107142857143, 191.96428571428572], [236.60714285714286, 17.857142857142858, 366.07142857142856, 207.58928571428572], [828.125, 430...
20
grid2d_d1
grid2d
1
binding
scene_000090
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and shoes are the same color. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray...
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and shoes are the same color. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_24", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose long-sleeved jacket and shoes are the same color.", "object_ids": [5], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What ar...
[[631.6964285714286, 37.94642857142857, 741.0714285714286, 191.96428571428572], [37.94642857142857, 49.107142857142854, 154.01785714285714, 207.58928571428572], [625.0, 216.51785714285714, 783.4821428571429, 397.32142857142856], [225.44642857142858, 435.26785714285717, 343.75, 593.75], [241.07142857142858, 645.08928571...
21
grid2d_d1
grid2d
1
binding
scene_000072
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = What are the shoes of S0? Note: Colors mean color categories: e...
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = What are the shoes of S0? Note: Colors mean color categories: e...
"C."
{"steps": [{"step_ref": "S0", "node_id": "L1_33", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible)...
[[620.5357142857143, 35.714285714285715, 758.9285714285714, 198.66071428571428], [42.410714285714285, 828.125, 151.78571428571428, 993.3035714285714], [241.07142857142858, 229.91071428571428, 357.14285714285717, 406.25], [828.125, 49.107142857142854, 982.1428571428571, 198.66071428571428], [33.482142857142854, 645.0892...
22
grid2d_d1
grid2d
1
binding
scene_000003
Follow these steps in order: S0 = the characters in the image with a yellow beard. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Options: A. black B. blue C. gree...
Follow these steps in order: S0 = the characters in the image with a yellow beard. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Options: A. black B. blue C. gree...
"E."
{"steps": [{"step_ref": "S0", "node_id": "L1_7", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a yellow beard.", "object_ids": [3], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What are the shoes of S0?\nNote: Colors mean color cate...
[[225.44642857142858, 446.42857142857144, 341.51785714285717, 595.9821428571429], [638.3928571428571, 49.107142857142854, 754.4642857142857, 207.58928571428572], [29.017857142857142, 415.17857142857144, 187.5, 595.9821428571429], [622.7678571428571, 415.17857142857144, 763.3928571428571, 595.9821428571429], [51.3392857...
23
grid2d_d1
grid2d
1
binding
scene_000035
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = What is the long-sleeved jacket of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, whi...
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = What is the long-sleeved jacket of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, whi...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_26", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with long-sleeved jacket whose color is not blue.", "object_ids": [7], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What is the lo...
[[435.26785714285717, 613.8392857142857, 564.7321428571429, 794.6428571428571], [29.017857142857142, 613.8392857142857, 158.48214285714286, 794.6428571428571], [839.2857142857143, 232.14285714285714, 948.6607142857143, 397.32142857142856], [439.73214285714283, 843.75, 555.8035714285714, 993.3035714285714], [845.9821428...
24
grid2d_d1
grid2d
1
binding
scene_000046
Follow these steps in order: S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color...
Follow these steps in order: S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_33", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color.", "object_ids": [8], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": ...
[[26.785714285714285, 424.10714285714283, 158.48214285714286, 593.75], [33.482142857142854, 49.107142857142854, 171.875, 207.58928571428572], [845.9821428571429, 51.339285714285715, 939.7321428571429, 191.96428571428572], [430.80357142857144, 247.76785714285714, 569.1964285714286, 397.32142857142856], [406.25, 17.85714...
25
grid2d_d1
grid2d
1
binding
scene_000079
Follow these steps in order: S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = What is the hair on the head of S0? Note: Colors mean color categories: ever...
Follow these steps in order: S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = What is the hair on the head of S0? Note: Colors mean color categories: ever...
"D."
{"steps": [{"step_ref": "S0", "node_id": "L1_20", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_i...
[[439.73214285714283, 645.0892857142857, 540.1785714285714, 794.6428571428571], [435.26785714285717, 812.5, 564.7321428571429, 993.3035714285714], [823.6607142857143, 49.107142857142854, 966.5178571428571, 207.58928571428572], [647.3214285714286, 35.714285714285715, 750.0, 198.66071428571428], [42.410714285714285, 446....
26
grid2d_d1
grid2d
1
binding
scene_000037
Follow these steps in order: S0 = the characters in the image where beard, hair on their head, long-sleeved jacket, weapon, and shoes all have different colors from each other. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are bot...
Follow these steps in order: S0 = the characters in the image where beard, hair on their head, long-sleeved jacket, weapon, and shoes all have different colors from each other. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are bot...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_36", "filter": "filter_by_all_different_char", "text": "S0 = the characters in the image where beard, hair on their head, long-sleeved jacket, weapon, and shoes all have different colors from each other.", "object_ids": [2], "output_kind": "bboxes"}, {"step_ref": "S1", "node...
[[241.07142857142858, 645.0892857142857, 363.8392857142857, 794.6428571428571], [832.5892857142857, 622.7678571428571, 964.2857142857143, 792.4107142857143], [424.10714285714283, 424.10714285714283, 555.8035714285714, 593.75], [241.07142857142858, 49.107142857142854, 341.51785714285717, 198.66071428571428], [53.5714285...
27
grid2d_d1
grid2d
1
binding
scene_000010
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Optio...
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = What is the beard of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Optio...
"C."
{"steps": [{"step_ref": "S0", "node_id": "L1_14", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with long-sleeved jacket whose color is not blue.", "object_ids": [3], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What is the be...
[[227.67857142857142, 17.857142857142858, 386.1607142857143, 198.66071428571428], [406.25, 17.857142857142858, 564.7321428571429, 198.66071428571428], [26.785714285714285, 250.0, 145.08928571428572, 395.0892857142857], [821.4285714285714, 424.10714285714283, 953.125, 593.75], [252.23214285714286, 232.14285714285714, 35...
28
grid2d_d1
grid2d
1
binding
scene_000024
Follow these steps in order: S0 = the characters in the image with black hair on their head. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Options: A. black B. bl...
Follow these steps in order: S0 = the characters in the image with black hair on their head. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray. Options: A. black B. bl...
"E."
{"steps": [{"step_ref": "S0", "node_id": "L1_5", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with black hair on their head.", "object_ids": [8], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What are the shoes of S0?\nNote: Colors mean ...
[[638.3928571428571, 247.76785714285714, 738.8392857142857, 397.32142857142856], [250.0, 845.9821428571429, 343.75, 986.6071428571429], [29.017857142857142, 415.17857142857144, 187.5, 595.9821428571429], [647.3214285714286, 647.3214285714286, 741.0714285714286, 787.9464285714286], [53.57142857142857, 247.76785714285714...
29
grid2d_d1
grid2d
1
binding
scene_000048
Follow these steps in order: S0 = the characters in the image whose hair on their head and weapon are the same color. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray...
Follow these steps in order: S0 = the characters in the image whose hair on their head and weapon are the same color. S1 = What are the shoes of S0? Note: Colors mean color categories: every shade of a color counts as that color (light blue and dark blue are both blue), and white and gray count as one color, white/gray...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_33", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose hair on their head and weapon are the same color.", "object_ids": [2], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "Q_ANSWER", "filter": null, "text": "S1 = What ar...
[[8.928571428571429, 232.14285714285714, 162.94642857142858, 397.32142857142856], [439.73214285714283, 645.0892857142857, 540.1785714285714, 794.6428571428571], [426.3392857142857, 216.51785714285714, 555.8035714285714, 406.25], [625.0, 17.857142857142858, 783.4821428571429, 198.66071428571428], [821.4285714285714, 845...
30
grid2d_d1
grid2d
1
character_closeness
scene_000047
Follow these steps in order: S0 = the characters in the image with hair on their head whose color is not black. S1 = the characters in the image with hair on their head whose color is not green. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? ...
Follow these steps in order: S0 = the characters in the image with hair on their head whose color is not black. S1 = the characters in the image with hair on their head whose color is not green. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? ...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_22", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with hair on their head whose color is not black.", "object_ids": [1], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_16", "filter": "filter_by_part_value_inequality", "t...
[[439.73214285714283, 627.2321428571429, 540.1785714285714, 794.6428571428571], [26.785714285714285, 633.9285714285714, 162.94642857142858, 792.4107142857143], [604.9107142857143, 49.107142857142854, 738.8392857142857, 198.66071428571428], [622.7678571428571, 830.3571428571429, 758.9285714285714, 991.0714285714286], [6...
31
grid2d_d1
grid2d
1
character_closeness
scene_000097
Follow these steps in order: S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color. S1 = the characters in the image whose long-sleeved jacket and weapon are the same color. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one c...
Follow these steps in order: S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color. S1 = the characters in the image whose long-sleeved jacket and weapon are the same color. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one c...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_33", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose hair on their head and long-sleeved jacket are the same color.", "object_ids": [1], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_34", "filter": "filter_by_within...
[[37.94642857142857, 415.17857142857144, 167.41071428571428, 595.9821428571429], [448.6607142857143, 435.26785714285717, 542.4107142857143, 589.2857142857143], [232.14285714285714, 250.0, 368.30357142857144, 395.0892857142857], [207.58928571428572, 830.3571428571429, 343.75, 993.3035714285714], [647.3214285714286, 647....
32
grid2d_d1
grid2d
1
character_closeness
scene_000074
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with a green long-sleeved jacket. S2 = Are S0 an...
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with a green long-sleeved jacket. S2 = Are S0 an...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_29", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_i...
[[430.80357142857144, 247.76785714285714, 584.8214285714286, 397.32142857142856], [232.14285714285714, 448.6607142857143, 361.60714285714283, 589.2857142857143], [633.9285714285714, 33.482142857142854, 750.0, 207.58928571428572], [250.0, 647.3214285714286, 343.75, 787.9464285714286], [848.2142857142857, 645.08928571428...
33
grid2d_d1
grid2d
1
character_closeness
scene_000037
Follow these steps in order: S0 = the characters in the image whose hair on their head and shoes are the same color. S1 = the characters in the image where beard, hair on their head, long-sleeved jacket, weapon, and shoes all have different colors from each other. S2 = Are S0 and S1 close to each other on the grid (sho...
Follow these steps in order: S0 = the characters in the image whose hair on their head and shoes are the same color. S1 = the characters in the image where beard, hair on their head, long-sleeved jacket, weapon, and shoes all have different colors from each other. S2 = Are S0 and S1 close to each other on the grid (sho...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_35", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose hair on their head and shoes are the same color.", "object_ids": [7], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_36", "filter": "filter_by_all_different_char",...
[[241.07142857142858, 645.0892857142857, 363.8392857142857, 794.6428571428571], [832.5892857142857, 622.7678571428571, 964.2857142857143, 792.4107142857143], [424.10714285714283, 424.10714285714283, 555.8035714285714, 593.75], [241.07142857142858, 49.107142857142854, 341.51785714285717, 198.66071428571428], [53.5714285...
34
grid2d_d1
grid2d
1
character_closeness
scene_000072
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = the characters in the image with hair on their head whose color is not green. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? ...
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = the characters in the image with hair on their head whose color is not green. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? ...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_22", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with long-sleeved jacket whose color is not blue.", "object_ids": [2], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_26", "filter": "filter_by_part_value_inequality", "t...
[[620.5357142857143, 35.714285714285715, 758.9285714285714, 198.66071428571428], [42.410714285714285, 828.125, 151.78571428571428, 993.3035714285714], [241.07142857142858, 229.91071428571428, 357.14285714285717, 406.25], [828.125, 49.107142857142854, 982.1428571428571, 198.66071428571428], [33.482142857142854, 645.0892...
35
grid2d_d1
grid2d
1
character_closeness
scene_000073
Follow these steps in order: S0 = the characters in the image with a green long-sleeved jacket. S1 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S2 = Are S0 an...
Follow these steps in order: S0 = the characters in the image with a green long-sleeved jacket. S1 = the characters in the image whose beard color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S2 = Are S0 an...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_8", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a green long-sleeved jacket.", "object_ids": [8], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_26", "filter": "filter_by_unique_attribute", "text": "S1 = the characters in the...
[[625.0, 51.339285714285715, 758.9285714285714, 191.96428571428572], [241.07142857142858, 446.42857142857144, 341.51785714285717, 595.9821428571429], [51.339285714285715, 51.339285714285715, 160.71428571428572, 191.96428571428572], [42.410714285714285, 645.0892857142857, 154.01785714285714, 803.5714285714286], [24.5535...
36
grid2d_d1
grid2d
1
character_closeness
scene_000071
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = the characters in the image whose beard and shoes are the same color. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? Note: Co...
Follow these steps in order: S0 = the characters in the image with long-sleeved jacket whose color is not blue. S1 = the characters in the image whose beard and shoes are the same color. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? Note: Co...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_23", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with long-sleeved jacket whose color is not blue.", "object_ids": [1], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_31", "filter": "filter_by_within_char_same_parts", "...
[[250.0, 633.9285714285714, 343.75, 787.9464285714286], [250.0, 448.6607142857143, 359.375, 589.2857142857143], [633.9285714285714, 415.17857142857144, 763.3928571428571, 604.9107142857143], [424.10714285714283, 622.7678571428571, 555.8035714285714, 792.4107142857143], [37.94642857142857, 821.4285714285714, 169.6428571...
37
grid2d_d1
grid2d
1
character_closeness
scene_000096
Follow these steps in order: S0 = the characters in the image whose weapon color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with a red long-sleeved jacket. S2 = Are S0 and...
Follow these steps in order: S0 = the characters in the image whose weapon color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with a red long-sleeved jacket. S2 = Are S0 and...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_35", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose weapon color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_...
[[450.89285714285717, 247.76785714285714, 551.3392857142857, 397.32142857142856], [647.3214285714286, 435.26785714285717, 741.0714285714286, 589.2857142857143], [42.410714285714285, 631.6964285714286, 145.08928571428572, 794.6428571428571], [234.375, 845.9821428571429, 343.75, 986.6071428571429], [629.4642857142857, 83...
38
grid2d_d1
grid2d
1
character_closeness
scene_000029
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and shoes are the same color. S1 = the characters in the image with a red long-sleeved jacket. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? Note: Colors...
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket and shoes are the same color. S1 = the characters in the image with a red long-sleeved jacket. S2 = Are S0 and S1 close to each other on the grid (shortest distance apart them smaller than one character's width/height)? Note: Colors...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_29", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose long-sleeved jacket and shoes are the same color.", "object_ids": [1], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_8", "filter": "filter_by_part_value", "text":...
[[625.0, 17.857142857142858, 765.625, 198.66071428571428], [448.6607142857143, 35.714285714285715, 566.9642857142857, 198.66071428571428], [42.410714285714285, 428.57142857142856, 154.01785714285714, 604.9107142857143], [29.017857142857142, 17.857142857142858, 169.64285714285714, 198.66071428571428], [625.0, 247.767857...
39
grid2d_d1
grid2d
1
character_closeness
scene_000058
Follow these steps in order: S0 = the characters in the image with beard whose color is not blue. S1 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S2 = Are S0 ...
Follow these steps in order: S0 = the characters in the image with beard whose color is not blue. S1 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S2 = Are S0 ...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_19", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with beard whose color is not blue.", "object_ids": [1], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_20", "filter": "filter_by_unique_attribute", "text": "S1 = the cha...
[[629.4642857142857, 236.60714285714286, 765.625, 390.625], [629.4642857142857, 830.3571428571429, 765.625, 991.0714285714286], [51.339285714285715, 35.714285714285715, 145.08928571428572, 191.96428571428572], [625.0, 17.857142857142858, 754.4642857142857, 198.66071428571428], [37.94642857142857, 424.10714285714283, 16...
40
grid2d_d1
grid2d
1
closest_character
scene_000073
Follow these steps in order: S0 = the characters in the image with hair on their head whose color is not green. S1 = the characters in the image with a green long-sleeved jacket. S2 = the characters in the image whose long-sleeved jacket and shoes are the same color. S3 = the characters in the image with green hair on ...
Follow these steps in order: S0 = the characters in the image with hair on their head whose color is not green. S1 = the characters in the image with a green long-sleeved jacket. S2 = the characters in the image whose long-sleeved jacket and shoes are the same color. S3 = the characters in the image with green hair on ...
"C."
{"steps": [{"step_ref": "S0", "node_id": "L1_24", "filter": "filter_by_part_value_inequality", "text": "S0 = the characters in the image with hair on their head whose color is not green.", "object_ids": [6], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_8", "filter": "filter_by_part_value", "text": "S1 = ...
[[625.0, 51.339285714285715, 758.9285714285714, 191.96428571428572], [241.07142857142858, 446.42857142857144, 341.51785714285717, 595.9821428571429], [51.339285714285715, 51.339285714285715, 160.71428571428572, 191.96428571428572], [42.410714285714285, 645.0892857142857, 154.01785714285714, 803.5714285714286], [24.5535...
41
grid2d_d1
grid2d
1
closest_character
scene_000020
Follow these steps in order: S0 = the characters in the image with a green long-sleeved jacket. S1 = the characters in the image with black hair on their head. S2 = the characters in the image with a green beard. S3 = the characters in the image with a blue beard. S4 = the characters in the image whose shoes color is u...
Follow these steps in order: S0 = the characters in the image with a green long-sleeved jacket. S1 = the characters in the image with black hair on their head. S2 = the characters in the image with a green beard. S3 = the characters in the image with a blue beard. S4 = the characters in the image whose shoes color is u...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_8", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a green long-sleeved jacket.", "object_ids": [7], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_9", "filter": "filter_by_part_value", "text": "S1 = the characters in the image ...
[[638.3928571428571, 446.42857142857144, 738.8392857142857, 595.9821428571429], [8.928571428571429, 216.51785714285714, 167.41071428571428, 397.32142857142856], [42.410714285714285, 433.0357142857143, 145.08928571428572, 595.9821428571429], [439.73214285714283, 49.107142857142854, 540.1785714285714, 198.66071428571428]...
42
grid2d_d1
grid2d
1
closest_character
scene_000030
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image whose long-sleeved jacket and shoes...
Follow these steps in order: S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image whose long-sleeved jacket and shoes...
"D."
{"steps": [{"step_ref": "S0", "node_id": "L1_25", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose hair on their head color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible)...
[[241.07142857142858, 33.482142857142854, 341.51785714285717, 198.66071428571428], [241.07142857142858, 247.76785714285714, 341.51785714285717, 397.32142857142856], [830.3571428571429, 51.339285714285715, 939.7321428571429, 191.96428571428572], [631.6964285714286, 821.4285714285714, 754.4642857142857, 986.6071428571429...
43
grid2d_d1
grid2d
1
closest_character
scene_000034
Follow these steps in order: S0 = the characters in the image with a blue beard. S1 = the characters in the image with a red weapon. S2 = the characters in the image with green hair on their head. S3 = the characters in the image with yellow hair on their head. S4 = the characters in the image with red shoes. S5 = Amon...
Follow these steps in order: S0 = the characters in the image with a blue beard. S1 = the characters in the image with a red weapon. S2 = the characters in the image with green hair on their head. S3 = the characters in the image with yellow hair on their head. S4 = the characters in the image with red shoes. S5 = Amon...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_3", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a blue beard.", "object_ids": [4], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_7", "filter": "filter_by_part_value", "text": "S1 = the characters in the image with a red weap...
[[406.25, 247.76785714285714, 540.1785714285714, 397.32142857142856], [426.3392857142857, 17.857142857142858, 555.8035714285714, 198.66071428571428], [232.14285714285714, 446.42857142857144, 375.0, 595.9821428571429], [830.3571428571429, 647.3214285714286, 939.7321428571429, 787.9464285714286], [243.30357142857142, 629...
44
grid2d_d1
grid2d
1
closest_character
scene_000021
Follow these steps in order: S0 = the characters in the image whose beard and shoes are the same color. S1 = the characters in the image whose beard and weapon are the same color. S2 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a ...
Follow these steps in order: S0 = the characters in the image whose beard and shoes are the same color. S1 = the characters in the image whose beard and weapon are the same color. S2 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a ...
"C."
{"steps": [{"step_ref": "S0", "node_id": "L1_23", "filter": "filter_by_within_char_same_parts", "text": "S0 = the characters in the image whose beard and shoes are the same color.", "object_ids": [7], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_26", "filter": "filter_by_within_char_same_parts", "text": ...
[[845.9821428571429, 845.9821428571429, 955.3571428571429, 986.6071428571429], [53.57142857142857, 645.0892857142857, 187.5, 794.6428571428571], [647.3214285714286, 448.6607142857143, 765.625, 593.75], [448.6607142857143, 37.94642857142857, 542.4107142857143, 191.96428571428572], [53.57142857142857, 49.107142857142854,...
45
grid2d_d1
grid2d
1
closest_character
scene_000031
Follow these steps in order: S0 = the characters in the image with a green beard. S1 = the characters in the image with a yellow beard. S2 = the characters in the image with hair on their head whose color is not red. S3 = the characters in the image with a yellow long-sleeved jacket. S4 = the characters in the image wi...
Follow these steps in order: S0 = the characters in the image with a green beard. S1 = the characters in the image with a yellow beard. S2 = the characters in the image with hair on their head whose color is not red. S3 = the characters in the image with a yellow long-sleeved jacket. S4 = the characters in the image wi...
"A."
{"steps": [{"step_ref": "S0", "node_id": "L1_7", "filter": "filter_by_part_value", "text": "S0 = the characters in the image with a green beard.", "object_ids": [9], "output_kind": "bboxes"}, {"step_ref": "S1", "node_id": "L1_1", "filter": "filter_by_part_value", "text": "S1 = the characters in the image with a yellow ...
[[225.44642857142858, 448.6607142857143, 343.75, 593.75], [250.0, 35.714285714285715, 343.75, 191.96428571428572], [33.482142857142854, 830.3571428571429, 187.5, 993.3035714285714], [604.9107142857143, 17.857142857142858, 763.3928571428571, 198.66071428571428], [604.9107142857143, 446.42857142857144, 758.9285714285714,...
46
grid2d_d1
grid2d
1
closest_character
scene_000010
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image whose shoes color is unique among ...
Follow these steps in order: S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image whose shoes color is unique among ...
"D."
{"steps": [{"step_ref": "S0", "node_id": "L1_23", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose long-sleeved jacket color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible...
[[227.67857142857142, 17.857142857142858, 386.1607142857143, 198.66071428571428], [406.25, 17.857142857142858, 564.7321428571429, 198.66071428571428], [26.785714285714285, 250.0, 145.08928571428572, 395.0892857142857], [821.4285714285714, 424.10714285714283, 953.125, 593.75], [252.23214285714286, 232.14285714285714, 35...
47
grid2d_d1
grid2d
1
closest_character
scene_000053
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with long-sleeved jacket whose color is not gree...
Follow these steps in order: S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible). S1 = the characters in the image with long-sleeved jacket whose color is not gree...
"B."
{"steps": [{"step_ref": "S0", "node_id": "L1_26", "filter": "filter_by_unique_attribute", "text": "S0 = the characters in the image whose shoes color is unique among the characters in that set (a color that is unique among a group: compared only with the characters in the group that have that part visible).", "object_i...
[[832.5892857142857, 812.5, 962.0535714285714, 993.3035714285714], [37.94642857142857, 216.51785714285714, 167.41071428571428, 406.25], [439.73214285714283, 446.42857142857144, 540.1785714285714, 595.9821428571429], [42.410714285714285, 428.57142857142856, 154.01785714285714, 604.9107142857143], [424.10714285714283, 64...
End of preview. Expand in Data Studio

CoVerse bench

2,176 questions about images, for testing how well vision-language models follow multi-step visual reasoning.

The images come from four sources: 2D grids of characters (grid2d), rendered 3D characters (chars3d), ProcTHOR house interiors (procthor3d) and real indoor scans (ca1m3d). Each question is built from a small program. Depth 1 asks one thing; depth 3 chains several steps. There is one split per environment and depth, 12 in total, named like grid2d_d1 or ca1m3d_d3.

from datasets import load_dataset
ds = load_dataset("Gigglingface/coverse-bench", split="procthor3d_d2")

Running a model on it

The code is at https://github.com/oshapio/coverse-platform. It works with any model behind an OpenAI-compatible API (vLLM, OpenRouter, OpenAI, ...).

git clone https://github.com/oshapio/coverse-platform.git
cd coverse-platform
pip install -e .

# add your model to models.yaml, then:
python -m coverse_bench.run --set grid2d_d1 --model vllm --mode answer
python -m coverse_bench.score --set grid2d_d1 --preds outputs/grid2d_d1/vllm_answer.jsonl

--mode steps asks for boxes at every step as well as the answer. The repo README explains the modes and the scoring, and has a loop over all 12 splits.

Columns

  • id: the question's id within its split. Answers are matched to questions by this id.
  • image: the scene.
  • prompt: the question as asked in answer mode (just give the answer).
  • steps_prompt: the question with its program written out step by step. In this mode the model gives boxes for every step and then the answer.
  • answer: the correct answer, as JSON (a letter, a number or an ordered list).
  • program: the steps, with the ids of the objects each step picks out, as JSON.
  • boxes: the box of every object in the scene, on a 0 to 1000 grid over the image, as JSON.
  • question_type, depth, env, set, scene_id.
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