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lmms-lab
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POPE

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Subset (2)

default · 9k rows

Split (1)

test · 9k rows

id stringlengths 1 4	question_id stringlengths 1 4	question stringclasses 86 values	answer stringclasses 2 values	image_source stringclasses 500 values	category stringclasses 3 values
1000	1001	Is there a fork in the image?	yes	COCO_val2014_000000468934	adversarial
1001	1002	Is there a cup in the image?	no	COCO_val2014_000000468934	adversarial
1002	1003	Is there a sink in the image?	yes	COCO_val2014_000000189694	adversarial
1003	1004	Is there a toilet in the image?	no	COCO_val2014_000000189694	adversarial
1004	1005	Is there a person in the image?	yes	COCO_val2014_000000189694	adversarial
1005	1006	Is there a car in the image?	no	COCO_val2014_000000189694	adversarial
1006	1007	Is there a bottle in the image?	yes	COCO_val2014_000000189694	adversarial
1007	1008	Is there a dining table in the image?	no	COCO_val2014_000000189694	adversarial
1008	1009	Is there a person in the image?	yes	COCO_val2014_000000273450	adversarial
1009	1010	Is there a dining table in the image?	no	COCO_val2014_000000273450	adversarial
1010	1011	Is there an orange in the imange?	yes	COCO_val2014_000000273450	adversarial
1011	1012	Is there a bowl in the image?	no	COCO_val2014_000000273450	adversarial
1012	1013	Is there a car in the image?	yes	COCO_val2014_000000273450	adversarial
1013	1014	Is there a truck in the image?	no	COCO_val2014_000000273450	adversarial
1014	1015	Is there a person in the image?	yes	COCO_val2014_000000278226	adversarial
1015	1016	Is there a car in the image?	no	COCO_val2014_000000278226	adversarial
1016	1017	Is there a couch in the image?	yes	COCO_val2014_000000278226	adversarial
1017	1018	Is there a chair in the image?	no	COCO_val2014_000000278226	adversarial
1018	1019	Is there a laptop in the image?	yes	COCO_val2014_000000278226	adversarial
1019	1020	Is there a dining table in the image?	no	COCO_val2014_000000278226	adversarial
1020	1021	Is there a backpack in the image?	yes	COCO_val2014_000000449432	adversarial
1021	1022	Is there a skis in the image?	no	COCO_val2014_000000449432	adversarial
1022	1023	Is there a person in the image?	yes	COCO_val2014_000000449432	adversarial
1023	1024	Is there a car in the image?	no	COCO_val2014_000000449432	adversarial
1024	1025	Is there a handbag in the image?	yes	COCO_val2014_000000449432	adversarial
1025	1026	Is there a dining table in the image?	no	COCO_val2014_000000449432	adversarial
1026	1027	Is there a spoon in the image?	yes	COCO_val2014_000000153300	adversarial
1027	1028	Is there an oven in the imange?	no	COCO_val2014_000000153300	adversarial
1028	1029	Is there a bowl in the image?	yes	COCO_val2014_000000153300	adversarial
1029	1030	Is there a banana in the image?	no	COCO_val2014_000000153300	adversarial
1030	1031	Is there a person in the image?	yes	COCO_val2014_000000153300	adversarial
1031	1032	Is there a car in the image?	no	COCO_val2014_000000153300	adversarial
1032	1033	Is there a person in the image?	yes	COCO_val2014_000000506178	adversarial
1033	1034	Is there a car in the image?	no	COCO_val2014_000000506178	adversarial
1034	1035	Is there a bed in the image?	yes	COCO_val2014_000000506178	adversarial
1035	1036	Is there a book in the image?	no	COCO_val2014_000000506178	adversarial
1036	1037	Is there a remote in the image?	yes	COCO_val2014_000000506178	adversarial
1037	1038	Is there a tv in the image?	no	COCO_val2014_000000506178	adversarial
1038	1039	Is there a backpack in the image?	yes	COCO_val2014_000000249720	adversarial
1039	1040	Is there a handbag in the image?	no	COCO_val2014_000000249720	adversarial
1040	1041	Is there a person in the image?	yes	COCO_val2014_000000249720	adversarial
1041	1042	Is there a dining table in the image?	no	COCO_val2014_000000249720	adversarial
1042	1043	Is there a traffic light in the image?	yes	COCO_val2014_000000249720	adversarial
1043	1044	Is there a bus in the image?	no	COCO_val2014_000000249720	adversarial
1044	1045	Is there a traffic light in the image?	yes	COCO_val2014_000000205206	adversarial
1045	1046	Is there a person in the image?	no	COCO_val2014_000000205206	adversarial
1046	1047	Is there a train in the image?	yes	COCO_val2014_000000205206	adversarial
1047	1048	Is there a truck in the image?	no	COCO_val2014_000000205206	adversarial
1048	1049	Is there a car in the image?	yes	COCO_val2014_000000205206	adversarial
1049	1050	Is there a bicycle in the image?	no	COCO_val2014_000000205206	adversarial
1050	1051	Is there a backpack in the image?	yes	COCO_val2014_000000018150	adversarial
1051	1052	Is there a handbag in the image?	no	COCO_val2014_000000018150	adversarial
1052	1053	Is there a person in the image?	yes	COCO_val2014_000000018150	adversarial
1053	1054	Is there a car in the image?	no	COCO_val2014_000000018150	adversarial
1054	1055	Is there a couch in the image?	yes	COCO_val2014_000000018150	adversarial
1055	1056	Is there a chair in the image?	no	COCO_val2014_000000018150	adversarial
1056	1057	Is there a tv in the image?	yes	COCO_val2014_000000303534	adversarial
1057	1058	Is there a person in the image?	no	COCO_val2014_000000303534	adversarial
1058	1059	Is there a backpack in the image?	yes	COCO_val2014_000000303534	adversarial
1059	1060	Is there a handbag in the image?	no	COCO_val2014_000000303534	adversarial
1060	1061	Is there a chair in the image?	yes	COCO_val2014_000000303534	adversarial
1061	1062	Is there a dining table in the image?	no	COCO_val2014_000000303534	adversarial
1062	1063	Is there a person in the image?	yes	COCO_val2014_000000278771	adversarial
1063	1064	Is there a car in the image?	no	COCO_val2014_000000278771	adversarial
1064	1065	Is there a sports ball in the image?	yes	COCO_val2014_000000278771	adversarial
1065	1066	Is there a tennis racket in the image?	no	COCO_val2014_000000278771	adversarial
1066	1067	Is there a bottle in the image?	yes	COCO_val2014_000000278771	adversarial
1067	1068	Is there a dining table in the image?	no	COCO_val2014_000000278771	adversarial
1068	1069	Is there a spoon in the image?	yes	COCO_val2014_000000134075	adversarial
1069	1070	Is there a bowl in the image?	no	COCO_val2014_000000134075	adversarial
1070	1071	Is there a person in the image?	yes	COCO_val2014_000000134075	adversarial
1071	1072	Is there a car in the image?	no	COCO_val2014_000000134075	adversarial
1072	1073	Is there a bottle in the image?	yes	COCO_val2014_000000134075	adversarial
1073	1074	Is there a chair in the image?	no	COCO_val2014_000000134075	adversarial
1074	1075	Is there a banana in the image?	yes	COCO_val2014_000000227204	adversarial
1075	1076	Is there an orange in the imange?	no	COCO_val2014_000000227204	adversarial
1076	1077	Is there a person in the image?	yes	COCO_val2014_000000227204	adversarial
1077	1078	Is there a car in the image?	no	COCO_val2014_000000227204	adversarial
1078	1079	Is there a spoon in the image?	yes	COCO_val2014_000000227204	adversarial
1079	1080	Is there an oven in the imange?	no	COCO_val2014_000000227204	adversarial
1080	1081	Is there a person in the image?	yes	COCO_val2014_000000124629	adversarial
1081	1082	Is there a car in the image?	no	COCO_val2014_000000124629	adversarial
1082	1083	Is there a sports ball in the image?	yes	COCO_val2014_000000124629	adversarial
1083	1084	Is there a baseball glove in the image?	no	COCO_val2014_000000124629	adversarial
1084	1085	Is there a tennis racket in the image?	yes	COCO_val2014_000000124629	adversarial
1085	1086	Is there a chair in the image?	no	COCO_val2014_000000124629	adversarial
1086	1087	Is there a person in the image?	yes	COCO_val2014_000000142774	adversarial
1087	1088	Is there a car in the image?	no	COCO_val2014_000000142774	adversarial
1088	1089	Is there a motorcycle in the image?	yes	COCO_val2014_000000142774	adversarial
1089	1090	Is there a bicycle in the image?	no	COCO_val2014_000000142774	adversarial
1090	1091	Is there a bus in the image?	yes	COCO_val2014_000000142774	adversarial
1091	1092	Is there a traffic light in the image?	no	COCO_val2014_000000142774	adversarial
1092	1093	Is there a backpack in the image?	yes	COCO_val2014_000000199959	adversarial
1093	1094	Is there a skis in the image?	no	COCO_val2014_000000199959	adversarial
1094	1095	Is there a person in the image?	yes	COCO_val2014_000000199959	adversarial
1095	1096	Is there a car in the image?	no	COCO_val2014_000000199959	adversarial
1096	1097	Is there a train in the image?	yes	COCO_val2014_000000199959	adversarial
1097	1098	Is there a truck in the image?	no	COCO_val2014_000000199959	adversarial
1098	1099	Is there a bowl in the image?	yes	COCO_val2014_000000316700	adversarial
1099	1100	Is there a person in the image?	no	COCO_val2014_000000316700	adversarial

Subsets and Splits

Filter Yes Answers

Retrieves all records from the dataset where the answer is 'yes', providing basic filtering but limited analytical value.