Datasets:

tudo-vn
/

JEV-Contrast

id string	width int32	height int32	source_dataset string	source_split string	source_id string	image_source string	image_id string	question string	answer string	set1_options list	set1_evidence list	set2_options list	set2_evidence list	tier string
jevc-train-000000	1,024	693	GQA	train	1592346	coco	554982	What is placed on the seating furniture?	A pillow on a sofa	[ "A pillow on a sofa", "Flowers on a sofa", "A laptop on a sofa" ]	[ { "label": "pillow", "role": "answer", "box_xyxy": [ 665, 401, 772, 479 ] }, { "label": "flowers", "role": "option", "box_xyxy": [ 14, 92, 181, 270 ] } ]	[ "A pillow on a sofa", "A pillow on a chair", "A pillow on a floor" ]	[ { "label": "sofa", "role": "answer", "box_xyxy": [ 588, 382, 1026, 658 ] }, { "label": "chair", "role": "option", "box_xyxy": [ 324, 523, 602, 692 ] } ]	W
jevc-train-000001	500	350	GQA	train	2381080	coco	292944	What do the bat and the helmet look like?	a yellow bat and a red helmet	[ "a yellow bat and a red helmet", "a silver bat and a red helmet", "a gray bat and a red helmet" ]	[ { "label": "bat", "role": "answer", "box_xyxy": [ 409, 1, 500, 273 ] } ]	[ "a yellow bat and a red helmet", "a yellow bat and a white helmet", "a yellow bat and a silver helmet" ]	[ { "label": "helmet", "role": "answer", "box_xyxy": [ 349, 116, 428, 197 ] } ]	W
jevc-train-000002	640	480	LVIS v1	train	229825	coco	229825	Which description fits the image?	a wine bucket and a trash can	[ "a wine bucket and a trash can", "a plant and a trash can", "a suitcase and a trash can" ]	[ { "label": "wine bucket", "role": "answer", "box_xyxy": [ 545.7000122070312, 196, 610.7999877929688, 290.79998779296875 ] } ]	[ "a wine bucket and a trash can", "a wine bucket and a plant pot", "a wine bucket and a shopping bag" ]	[ { "label": "trash can", "role": "answer", "box_xyxy": [ 165.6999969482422, 92, 236.89999389648438, 185.3000030517578 ] } ]	W
jevc-train-000003	640	360	LVIS v1	val	489467	coco	489467	Which description fits the image?	a handbag and a fork	[ "a handbag and a fork", "a receipt and a fork", "a scale and a fork" ]	[ { "label": "handbag", "role": "answer", "box_xyxy": [ 413.29998779296875, 0, 640, 360 ] } ]	[ "a handbag and a fork", "a handbag and a hat", "a handbag and a book" ]	[ { "label": "fork", "role": "answer", "box_xyxy": [ 285.8999938964844, 22.200000762939453, 374, 360 ] } ]	S
jevc-train-000004	640	428	LVIS v1	train	63950	coco	63950	Which description fits the image?	a cistern and a soap	[ "a cistern and a soap", "a towelrack and a soap", "a bathtub and a soap" ]	[ { "label": "cistern", "role": "answer", "box_xyxy": [ 0.6000000238418579, 0, 233.1999969482422, 246.60000610351562 ] } ]	[ "a cistern and a soap", "a cistern and a towel", "a cistern and a toothbrush" ]	[ { "label": "soap", "role": "answer", "box_xyxy": [ 286.6000061035156, 0, 374.1000061035156, 104.0999984741211 ] } ]	W
jevc-train-000005	480	640	LVIS v1	val	461408	coco	461408	Which description fits the image?	a bucket and a pizza	[ "a bucket and a pizza", "a suitcase and a pizza", "a bath towel and a pizza" ]	[ { "label": "bucket", "role": "answer", "box_xyxy": [ 379.6000061035156, 396.1000061035156, 438.3999938964844, 519.2000122070312 ] } ]	[ "a bucket and a pizza", "a bucket and a shoe", "a bucket and a book" ]	[ { "label": "pizza", "role": "answer", "box_xyxy": [ 178.39999389648438, 334.70001220703125, 409.6000061035156, 484 ] } ]	W
jevc-train-000006	500	333	GQA	train	2368993	visual_genome	2368993	What is the woman wearing?	a green shirt and a gray hat	[ "a green shirt and a gray hat", "a white shirt and a gray hat", "a beige shirt and a gray hat" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 0, 151, 332, 329 ] } ]	[ "a green shirt and a gray hat", "a green shirt and a black hat", "a green shirt and a blue hat" ]	[ { "label": "hat", "role": "answer", "box_xyxy": [ 27, 38, 136, 135 ] } ]	R
jevc-train-000007	640	482	LVIS v1	train	212227	coco	212227	Which description fits the image?	a curtain and a bowl	[ "a curtain and a bowl", "a plant and a bowl", "a painting and a bowl" ]	[ { "label": "curtain", "role": "answer", "box_xyxy": [ 237.8000030517578, 7.300000190734863, 424.8999938964844, 214.6999969482422 ] } ]	[ "a curtain and a bowl", "a curtain and a vase", "a curtain and a plant" ]	[ { "label": "bowl", "role": "answer", "box_xyxy": [ 138.6999969482422, 389.3999938964844, 338.3999938964844, 474.3999938964844 ] } ]	R
jevc-train-000008	640	425	LVIS v1	train	175804	coco	175804	Which description fits the image?	a curling iron and a hair dryer	[ "a curling iron and a hair dryer", "a perfume bottle and a hair dryer", "sunglasses and a hair dryer" ]	[ { "label": "curling iron", "role": "answer", "box_xyxy": [ 98.4000015258789, 0.30000001192092896, 260.1000061035156, 21.399999618530273 ] } ]	[ "a curling iron and a hair dryer", "a curling iron and a scarf", "a curling iron and a bouquet" ]	[ { "label": "hair dryer", "role": "answer", "box_xyxy": [ 230.3000030517578, 88.19999694824219, 342.5, 194.10000610351562 ] } ]	W
jevc-train-000009	640	480	LVIS v1	train	2284	coco	2284	Which description fits the image?	a cistern and a sink	[ "a cistern and a sink", "a carnation and a sink", "a dishwasher and a sink" ]	[ { "label": "cistern", "role": "answer", "box_xyxy": [ 223.89999389648438, 271.5, 298.8999938964844, 336.8999938964844 ] } ]	[ "a cistern and a sink", "a cistern and a plant pot", "a cistern and a bath mat" ]	[ { "label": "sink", "role": "answer", "box_xyxy": [ 87.80000305175781, 308.1000061035156, 197.5, 374.3999938964844 ] } ]	W
jevc-train-000010	333	500	GQA	train	2372167	coco	407178	What is positioned in front of the structure?	A snowboard in front of a building	[ "A snowboard in front of a building", "A hill in front of a building", "A scooter in front of a building" ]	[ { "label": "snowboard", "role": "answer", "box_xyxy": [ 183, 126, 227, 247 ] }, { "label": "hill", "role": "option", "box_xyxy": [ 103, 266, 227, 308 ] } ]	[ "A snowboard in front of a building", "A snowboard in front of a box", "A snowboard in front of a fence" ]	[ { "label": "building", "role": "answer", "box_xyxy": [ 0, 33, 262, 195 ] }, { "label": "box", "role": "option", "box_xyxy": [ 279, 248, 333, 302 ] } ]	S
jevc-train-000011	375	500	GQA	train	2350506	coco	151778	What is hidden behind the foliage?	A building behind trees	[ "A building behind trees", "A man behind trees", "A temple behind trees" ]	[ { "label": "building", "role": "answer", "box_xyxy": [ 148, 162, 237, 236 ] }, { "label": "man", "role": "option", "box_xyxy": [ 173, 231, 227, 336 ] } ]	[ "A building behind trees", "A building behind a fence", "A building behind railings" ]	[ { "label": "trees", "role": "answer", "box_xyxy": [ 0, 188, 184, 277 ] } ]	S
jevc-train-000012	500	334	GQA	train	2377844	visual_genome	2377844	What is placed on the seating area?	A blanket on a couch	[ "A blanket on a couch", "Wires on a couch", "A pillow on a couch" ]	[ { "label": "blanket", "role": "answer", "box_xyxy": [ 0, 146, 127, 232 ] }, { "label": "wires", "role": "option", "box_xyxy": [ 355, 226, 453, 303 ] } ]	[ "A blanket on a couch", "A blanket on a coffee table", "A blanket on an ottoman" ]	[ { "label": "couch", "role": "answer", "box_xyxy": [ 0, 147, 190, 286 ] }, { "label": "coffee table", "role": "option", "box_xyxy": [ 224, 195, 361, 318 ] } ]	S
jevc-train-000013	500	375	GQA	train	2329762	visual_genome	2329762	What do the sink and the towel look like?	a white sink and a pink towel	[ "a white sink and a pink towel", "a beige sink and a pink towel", "a tan sink and a pink towel" ]	[ { "label": "sink", "role": "answer", "box_xyxy": [ 265, 201, 406, 252 ] } ]	[ "a white sink and a pink towel", "a white sink and a brown towel", "a white sink and a green towel" ]	[ { "label": "towel", "role": "answer", "box_xyxy": [ 0, 164, 28, 339 ] } ]	W
jevc-train-000014	640	480	LVIS v1	train	476826	coco	476826	Which description fits the image?	short pants and a tennis racket	[ "short pants and a tennis racket", "a skirt and a tennis racket", "a jacket and a tennis racket" ]	[ { "label": "short pants", "role": "answer", "box_xyxy": [ 393.5, 260.79998779296875, 489.70001220703125, 363 ] } ]	[ "short pants and a tennis racket", "short pants and a camera", "short pants and a backpack" ]	[ { "label": "tennis racket", "role": "answer", "box_xyxy": [ 497.29998779296875, 226.8000030517578, 632, 263.29998779296875 ] } ]	W
jevc-train-000015	500	375	LVIS v1	train	222037	coco	222037	Which description fits the image?	a printer and a calendar	[ "a printer and a calendar", "a mug and a calendar", "a wreath and a calendar" ]	[ { "label": "printer", "role": "answer", "box_xyxy": [ 146.60000610351562, 171.8000030517578, 228.10000610351562, 217.89999389648438 ] } ]	[ "a printer and a calendar", "a printer and a mug", "a printer and a wreath" ]	[ { "label": "calendar", "role": "answer", "box_xyxy": [ 69.9000015258789, 96.80000305175781, 106.4000015258789, 161.3000030517578 ] } ]	W
jevc-train-000016	500	333	GQA	train	2363329	visual_genome	2363329	What do the backpack and the pole look like?	a blue backpack and a black pole	[ "a blue backpack and a black pole", "a brown backpack and a black pole", "a purple backpack and a black pole" ]	[ { "label": "backpack", "role": "answer", "box_xyxy": [ 427, 195, 464, 245 ] } ]	[ "a blue backpack and a black pole", "a blue backpack and a silver pole", "a blue backpack and a gray pole" ]	[ { "label": "pole", "role": "answer", "box_xyxy": [ 381, 28, 393, 183 ] } ]	W
jevc-train-000017	500	374	GQA	train	2378344	coco	395966	What do the sweatshirt and the pants look like?	a gray sweatshirt and black pants	[ "a gray sweatshirt and black pants", "a tan sweatshirt and black pants", "a blue sweatshirt and black pants" ]	[ { "label": "sweatshirt", "role": "answer", "box_xyxy": [ 301, 42, 382, 202 ] } ]	[ "a gray sweatshirt and black pants", "a gray sweatshirt and brown pants", "a gray sweatshirt and gold pants" ]	[ { "label": "pants", "role": "answer", "box_xyxy": [ 28, 126, 86, 222 ] } ]	W
jevc-train-000018	512	340	GQA	train	4294	visual_genome	4294	What do the toaster and the counter look like?	a white toaster and a brown counter	[ "a white toaster and a brown counter", "a black toaster and a brown counter", "a gray toaster and a brown counter" ]	[ { "label": "toaster", "role": "answer", "box_xyxy": [ 350, 101, 423, 149 ] } ]	[ "a white toaster and a brown counter", "a white toaster and a pink counter", "a white toaster and a purple counter" ]	[ { "label": "counter", "role": "answer", "box_xyxy": [ 0, 192, 152, 340 ] } ]	W
jevc-train-000019	500	333	GQA	train	2357749	coco	398632	What do the dog and the bench look like?	a brown dog and a green bench	[ "a brown dog and a green bench", "a gray dog and a green bench", "a yellow dog and a green bench" ]	[ { "label": "dog", "role": "answer", "box_xyxy": [ 171, 88, 411, 216 ] } ]	[ "a brown dog and a green bench", "a brown dog and a gray bench", "a brown dog and a silver bench" ]	[ { "label": "bench", "role": "answer", "box_xyxy": [ 83, 200, 500, 231 ] } ]	S
jevc-train-000020	375	500	VAW	null	2398641	visual_genome	2398641	What do the wire and the blouse look like?	a white wire and a gray blouse	[ "a white wire and a gray blouse", "a black wire and a gray blouse", "a gold wire and a gray blouse" ]	[ { "label": "wire", "role": "answer", "box_xyxy": [ 235, 93.0999984741211, 323.5, 369.1000061035156 ] } ]	[ "a white wire and a gray blouse", "a white wire and a pink blouse", "a white wire and a tan blouse" ]	[ { "label": "blouse", "role": "answer", "box_xyxy": [ 57, 255, 202, 418 ] } ]	S
jevc-train-000021	332	500	GQA	train	2326157	visual_genome	2326157	What do the shirt and the ball look like?	a white shirt and a yellow ball	[ "a white shirt and a yellow ball", "a gray shirt and a yellow ball", "a beige shirt and a yellow ball" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 80, 149, 126, 212 ] } ]	[ "a white shirt and a yellow ball", "a white shirt and a pink ball", "a white shirt and a black ball" ]	[ { "label": "ball", "role": "answer", "box_xyxy": [ 144, 406, 191, 458 ] } ]	W
jevc-train-000022	500	375	GQA	train	2325713	visual_genome	2325713	What do the fence and the sign look like?	a brown fence and a green sign	[ "a brown fence and a green sign", "a white fence and a green sign", "a silver fence and a green sign" ]	[ { "label": "fence", "role": "answer", "box_xyxy": [ 0, 301, 499, 375 ] } ]	[ "a brown fence and a green sign", "a brown fence and a black sign", "a brown fence and a gold sign" ]	[ { "label": "sign", "role": "answer", "box_xyxy": [ 63, 48, 301, 284 ] } ]	W
jevc-train-000023	500	333	GQA	train	2397568	visual_genome	2397568	What do the legs and the shirt look like?	tan legs and a pink shirt	[ "tan legs and a pink shirt", "black legs and a pink shirt", "white legs and a pink shirt" ]	[ { "label": "legs", "role": "answer", "box_xyxy": [ 120, 209, 247, 245 ] } ]	[ "tan legs and a pink shirt", "tan legs and a blue shirt", "tan legs and a gray shirt" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 260, 177, 322, 226 ] } ]	W
jevc-train-000024	500	500	GQA	train	2319996	visual_genome	2319996	What is in front of the structure?	A bus in front of a building	[ "A bus in front of a building", "A sidewalk in front of a building", "A car in front of a building" ]	[ { "label": "bus", "role": "answer", "box_xyxy": [ 79, 168, 436, 430 ] }, { "label": "sidewalk", "role": "option", "box_xyxy": [ 384, 400, 484, 487 ] } ]	[ "A bus in front of a building", "A bus in front of a wall", "A bus in front of a park" ]	[ { "label": "building", "role": "answer", "box_xyxy": [ 304, 24, 466, 286 ] } ]	W
jevc-train-000025	500	338	GQA	train	2330626	visual_genome	2330626	What is placed on the cloth?	A knife on a napkin	[ "A knife on a napkin", "A water bottle on a napkin", "A spoon on a napkin" ]	[ { "label": "knife", "role": "answer", "box_xyxy": [ 437, 235, 479, 291 ] }, { "label": "water bottle", "role": "option", "box_xyxy": [ 415, 53, 470, 229 ] } ]	[ "A knife on a napkin", "A knife on a table", "A knife on a tray" ]	[ { "label": "napkin", "role": "answer", "box_xyxy": [ 375, 233, 499, 295 ] }, { "label": "table", "role": "option", "box_xyxy": [ 14, 177, 500, 338 ] } ]	S
jevc-train-000026	500	333	GQA	train	2341481	visual_genome	2341481	What do the jeans and the train look like?	blue jeans and a red train	[ "blue jeans and a red train", "green jeans and a red train", "gray jeans and a red train" ]	[ { "label": "jeans", "role": "answer", "box_xyxy": [ 471, 244, 499, 331 ] } ]	[ "blue jeans and a red train", "blue jeans and a brown train", "blue jeans and a yellow train" ]	[ { "label": "train", "role": "answer", "box_xyxy": [ 230, 133, 364, 227 ] } ]	W
jevc-train-000027	326	640	LVIS v1	train	294228	coco	294228	Which description fits the image?	a kite and a dress	[ "a kite and a dress", "a balloon and a dress", "a bicycle and a dress" ]	[ { "label": "kite", "role": "answer", "box_xyxy": [ 66.4000015258789, 0, 220.10000610351562, 219.1999969482422 ] } ]	[ "a kite and a dress", "a kite and a tennis ball", "a kite and a chap" ]	[ { "label": "dress", "role": "answer", "box_xyxy": [ 115.4000015258789, 454.70001220703125, 204.10000610351562, 606.5 ] } ]	W
jevc-train-000028	500	380	GQA	train	2384438	coco	66135	What do the roof and the door look like?	a gray roof and a yellow door	[ "a gray roof and a yellow door", "a brown roof and a yellow door", "a red roof and a yellow door" ]	[ { "label": "roof", "role": "answer", "box_xyxy": [ 56, 34, 396, 74 ] } ]	[ "a gray roof and a yellow door", "a gray roof and a black door", "a gray roof and a brown door" ]	[ { "label": "door", "role": "answer", "box_xyxy": [ 289, 79, 324, 254 ] } ]	W
jevc-train-000029	640	480	LVIS v1	train	403913	coco	403913	Which description fits the image?	a jar and a knife	[ "a jar and a knife", "a candleholder and a knife", "a cleat and a knife" ]	[ { "label": "jar", "role": "answer", "box_xyxy": [ 2.0999999046325684, 0.699999988079071, 149.3000030517578, 153.60000610351562 ] } ]	[ "a jar and a knife", "a jar and a peeler", "a jar and a whisk" ]	[ { "label": "knife", "role": "answer", "box_xyxy": [ 443.29998779296875, 202.1999969482422, 640, 467.8999938964844 ] } ]	S
jevc-train-000030	500	375	GQA	train	2406060	coco	381416	What activity is being performed?	A skier wearing skis	[ "A skier wearing skis", "A woman wearing skis", "A teenager wearing skis" ]	[ { "label": "skier", "role": "answer", "box_xyxy": [ 103, 86, 199, 293 ] } ]	[ "A skier wearing skis", "A skier wearing goggles", "A skier wearing a jacket" ]	[ { "label": "skis", "role": "answer", "box_xyxy": [ 56, 247, 283, 309 ] } ]	W
jevc-train-000031	500	334	VAW	null	2390385	visual_genome	2390385	What do the building and the flowers look like?	a blue building and white flowers	[ "a blue building and white flowers", "a yellow building and white flowers", "a purple building and white flowers" ]	[ { "label": "building", "role": "answer", "box_xyxy": [ 182.5, 173.3000030517578, 241, 230.1999969482422 ] } ]	[ "a blue building and white flowers", "a blue building and orange flowers", "a blue building and red flowers" ]	[ { "label": "flowers", "role": "answer", "box_xyxy": [ 15.800000190734863, 203.3000030517578, 495.20001220703125, 247.6999969482422 ] } ]	S
jevc-train-000032	640	480	LVIS v1	train	205560	coco	205560	Which description fits the image?	a mouse and a booklet	[ "a mouse and a booklet", "a coffee mug and a booklet", "a smartphone and a booklet" ]	[ { "label": "mouse", "role": "answer", "box_xyxy": [ 258.6000061035156, 28.100000381469727, 367.29998779296875, 100.30000305175781 ] } ]	[ "a mouse and a booklet", "a mouse and a tablet", "a mouse and a coffee mug" ]	[ { "label": "booklet", "role": "answer", "box_xyxy": [ 235.6999969482422, 46.099998474121094, 627.5999755859375, 271 ] } ]	W
jevc-train-000033	375	500	GQA	train	2361570	visual_genome	2361570	What do the packet and the tail look like?	a green packet and a gray tail	[ "a green packet and a gray tail", "a blue packet and a gray tail", "a white packet and a gray tail" ]	[ { "label": "packet", "role": "answer", "box_xyxy": [ 0, 423, 104, 498 ] } ]	[ "a green packet and a gray tail", "a green packet and a blue tail", "a green packet and an orange tail" ]	[ { "label": "tail", "role": "answer", "box_xyxy": [ 0, 278, 99, 383 ] } ]	S
jevc-train-000034	500	333	GQA	train	2413965	visual_genome	2413965	What do the sign and the seat look like?	a blue sign and a black seat	[ "a blue sign and a black seat", "a yellow sign and a black seat", "a tan sign and a black seat" ]	[ { "label": "sign", "role": "answer", "box_xyxy": [ 212, 3, 252, 55 ] } ]	[ "a blue sign and a black seat", "a blue sign and a tan seat", "a blue sign and a silver seat" ]	[ { "label": "seat", "role": "answer", "box_xyxy": [ 197, 117, 287, 147 ] } ]	W
jevc-train-000035	333	500	GQA	train	2318608	visual_genome	2318608	What do the hair and the shirt look like?	a black hair and a white shirt	[ "a black hair and a white shirt", "a tan hair and a white shirt", "a beige hair and a white shirt" ]	[ { "label": "hair", "role": "answer", "box_xyxy": [ 57, 93, 121, 123 ] } ]	[ "a black hair and a white shirt", "a black hair and a brown shirt", "a black hair and a pink shirt" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 111, 115, 249, 204 ] } ]	R
jevc-train-000036	640	424	LVIS v1	train	325239	coco	325239	Which description fits the image?	a stove and a sweater	[ "a stove and a sweater", "a washing machine and a sweater", "a bookshelf and a sweater" ]	[ { "label": "stove", "role": "answer", "box_xyxy": [ 26.100000381469727, 186.6999969482422, 354.1000061035156, 421.70001220703125 ] } ]	[ "a stove and a sweater", "a stove and a mallet", "a stove and a yogurt" ]	[ { "label": "sweater", "role": "answer", "box_xyxy": [ 292.79998779296875, 111.80000305175781, 406.29998779296875, 228.39999389648438 ] } ]	S
jevc-train-000037	500	357	GQA	train	2395001	coco	503500	What do the shirt and the jacket look like?	a white shirt and a yellow jacket	[ "a white shirt and a yellow jacket", "a purple shirt and a yellow jacket", "a gray shirt and a yellow jacket" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 132, 115, 194, 186 ] } ]	[ "a white shirt and a yellow jacket", "a white shirt and a black jacket", "a white shirt and a brown jacket" ]	[ { "label": "jacket", "role": "answer", "box_xyxy": [ 196, 71, 260, 151 ] } ]	W
jevc-train-000038	640	453	LVIS v1	train	219687	coco	219687	Which description fits the image?	a fireplace and a television set	[ "a fireplace and a television set", "a gun and a television set", "a cap and a television set" ]	[ { "label": "fireplace", "role": "answer", "box_xyxy": [ 230.3000030517578, 177.5, 410.70001220703125, 314.6000061035156 ] } ]	[ "a fireplace and a television set", "a fireplace and a sculpture", "a fireplace and a music stool" ]	[ { "label": "television set", "role": "answer", "box_xyxy": [ 253.8000030517578, 85.19999694824219, 392, 168.5 ] } ]	W
jevc-train-000039	640	427	LVIS v1	train	126583	coco	126583	Which description fits the image?	a tennis racket and a towel	[ "a tennis racket and a towel", "a yoga mat and a towel", "a baseball bat and a towel" ]	[ { "label": "tennis racket", "role": "answer", "box_xyxy": [ 103.19999694824219, 277, 237.6999969482422, 310.79998779296875 ] } ]	[ "a tennis racket and a towel", "a tennis racket and a tennis ball", "a tennis racket and a water bottle" ]	[ { "label": "towel", "role": "answer", "box_xyxy": [ 149.39999389648438, 301.6000061035156, 224.5, 391.70001220703125 ] } ]	W
jevc-train-000040	500	333	GQA	val	2358552	coco	211860	What do the fence and the shirt look like?	a green fence and a white shirt	[ "a green fence and a white shirt", "a beige fence and a white shirt", "a brown fence and a white shirt" ]	[ { "label": "fence", "role": "answer", "box_xyxy": [ 0, 0, 499, 64 ] } ]	[ "a green fence and a white shirt", "a green fence and a blue shirt", "a green fence and a pink shirt" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 262, 87, 334, 176 ] } ]	S
jevc-train-000041	480	640	LVIS v1	train	250990	coco	250990	Which description fits the image?	an apron and a chopping board	[ "an apron and a chopping board", "a kitchen towel and a chopping board", "a chef hat and a chopping board" ]	[ { "label": "apron", "role": "answer", "box_xyxy": [ 90.80000305175781, 323.5, 186.60000610351562, 401.20001220703125 ] } ]	[ "an apron and a chopping board", "an apron and a rolling pin", "an apron and a hinge" ]	[ { "label": "chopping board", "role": "answer", "box_xyxy": [ 242.39999389648438, 200.6999969482422, 332.8999938964844, 344.29998779296875 ] } ]	R
jevc-train-000042	480	640	LVIS v1	val	80385	coco	80385	Which description fits the image?	a teapot and a flower arrangement	[ "a teapot and a flower arrangement", "a candle and a flower arrangement", "a lamp and a flower arrangement" ]	[ { "label": "teapot", "role": "answer", "box_xyxy": [ 1.399999976158142, 174.39999389648438, 94.4000015258789, 271.3999938964844 ] } ]	[ "a teapot and a flower arrangement", "a teapot and a candle", "a teapot and a bear" ]	[ { "label": "flower arrangement", "role": "answer", "box_xyxy": [ 182.6999969482422, 1, 479.6000061035156, 242.60000610351562 ] } ]	R
jevc-train-000043	500	333	GQA	train	2364420	visual_genome	2364420	What do the curtain and the headboard look like?	a white curtain and a black headboard	[ "a white curtain and a black headboard", "a gray curtain and a black headboard", "a beige curtain and a black headboard" ]	[ { "label": "curtain", "role": "answer", "box_xyxy": [ 356, 58, 474, 127 ] } ]	[ "a white curtain and a black headboard", "a white curtain and a gray headboard", "a white curtain and a green headboard" ]	[ { "label": "headboard", "role": "answer", "box_xyxy": [ 57, 14, 264, 102 ] } ]	W
jevc-train-000044	640	480	LVIS v1	train	227939	coco	227939	Which description fits the image?	a gift wrap and a card	[ "a gift wrap and a card", "a candle and a card", "a wine and a card" ]	[ { "label": "gift wrap", "role": "answer", "box_xyxy": [ 365.6000061035156, 284.6000061035156, 570.5999755859375, 461.20001220703125 ] } ]	[ "a gift wrap and a card", "a gift wrap and a balloon", "a gift wrap and a chocolate" ]	[ { "label": "card", "role": "answer", "box_xyxy": [ 236.5, 349.3999938964844, 412.1000061035156, 474.5 ] } ]	W
jevc-train-000045	640	383	LVIS v1	train	421476	coco	421476	Which description fits the image?	a sandwich and a knife	[ "a sandwich and a knife", "a pizza and a knife", "a cake and a knife" ]	[ { "label": "sandwich", "role": "answer", "box_xyxy": [ 151.3000030517578, 30.100000381469727, 484, 292.79998779296875 ] } ]	[ "a sandwich and a knife", "a sandwich and a napkin", "a sandwich and a peanut butter" ]	[ { "label": "knife", "role": "answer", "box_xyxy": [ 475.3999938964844, 0, 640, 133.5 ] } ]	S
jevc-train-000046	500	333	GQA	train	2393106	visual_genome	2393106	What do the icing and the jeans look like?	a white icing and blue jeans	[ "a white icing and blue jeans", "a yellow icing and blue jeans", "a red icing and blue jeans" ]	[ { "label": "icing", "role": "answer", "box_xyxy": [ 132, 182, 273, 275 ] } ]	[ "a white icing and blue jeans", "a white icing and black jeans", "a white icing and tan jeans" ]	[ { "label": "jeans", "role": "answer", "box_xyxy": [ 81, 1, 322, 64 ] } ]	W
jevc-train-000047	500	334	GQA	train	2336124	visual_genome	2336124	What is placed on the surface?	A bowl on a table	[ "A bowl on a table", "A paper on a table", "A mug on a table" ]	[ { "label": "bowl", "role": "answer", "box_xyxy": [ 387, 293, 500, 334 ] }, { "label": "paper", "role": "option", "box_xyxy": [ 0, 297, 88, 332 ] } ]	[ "A bowl on a table", "A bowl on a wall", "A bowl on a floor" ]	[ { "label": "table", "role": "answer", "box_xyxy": [ 2, 252, 393, 334 ] }, { "label": "wall", "role": "option", "box_xyxy": [ 365, 0, 500, 171 ] } ]	W
jevc-train-000048	500	375	GQA	train	2351574	coco	54252	What do the box and the letters look like?	a white box and black letters	[ "a white box and black letters", "a gray box and black letters", "a silver box and black letters" ]	[ { "label": "box", "role": "answer", "box_xyxy": [ 252, 20, 447, 157 ] } ]	[ "a white box and black letters", "a white box and gray letters", "a white box and brown letters" ]	[ { "label": "letters", "role": "answer", "box_xyxy": [ 293, 61, 384, 88 ] } ]	W
jevc-train-000049	330	500	GQA	train	2362283	coco	432508	What object is being stood upon?	A foot on top of a fire hydrant	[ "A foot on top of a fire hydrant", "A pole on top of a fire hydrant", "A skateboard on top of a fire hydrant" ]	[ { "label": "foot", "role": "answer", "box_xyxy": [ 153, 247, 227, 303 ] }, { "label": "pole", "role": "option", "box_xyxy": [ 12, 227, 63, 442 ] } ]	[ "A foot on top of a fire hydrant", "A foot on top of a child", "A foot on top of a trashcan" ]	[ { "label": "fire hydrant", "role": "answer", "box_xyxy": [ 204, 209, 323, 482 ] }, { "label": "child", "role": "option", "box_xyxy": [ 12, 7, 227, 434 ] } ]	W
jevc-train-000050	640	480	LVIS v1	val	314822	coco	314822	Which description fits the image?	a spoon and a bowl	[ "a spoon and a bowl", "a flap and a bowl", "a spatula and a bowl" ]	[ { "label": "spoon", "role": "answer", "box_xyxy": [ 268.20001220703125, 179.89999389648438, 430, 215.1999969482422 ] } ]	[ "a spoon and a bowl", "a spoon and a mug", "a spoon and brussels sprouts" ]	[ { "label": "bowl", "role": "answer", "box_xyxy": [ 369.20001220703125, 110.80000305175781, 555.2000122070312, 271.70001220703125 ] } ]	W
jevc-train-000051	500	375	LVIS v1	train	43306	coco	43306	Which description fits the image?	a napkin and a cookie	[ "a napkin and a cookie", "a cup and a cookie", "a bowl and a cookie" ]	[ { "label": "napkin", "role": "answer", "box_xyxy": [ 388.3999938964844, 261.1000061035156, 499.20001220703125, 333.20001220703125 ] } ]	[ "a napkin and a cookie", "a napkin and a sandwich", "a napkin and a lipstick" ]	[ { "label": "cookie", "role": "answer", "box_xyxy": [ 5.199999809265137, 175.10000610351562, 62.29999923706055, 214.5 ] } ]	W
jevc-train-000052	612	612	LVIS v1	train	504348	coco	504348	Which description fits the image?	a cover and a tiger	[ "a cover and a tiger", "a flipper and a tiger", "a bell pepper and a tiger" ]	[ { "label": "cover", "role": "answer", "box_xyxy": [ 291.8999938964844, 465.70001220703125, 438.3999938964844, 575.2999877929688 ] } ]	[ "a cover and a tiger", "a cover and a book", "a cover and a projectile" ]	[ { "label": "tiger", "role": "answer", "box_xyxy": [ 299.5, 278.8999938964844, 413.3999938964844, 367.79998779296875 ] } ]	W
jevc-train-000053	529	640	LVIS v1	train	523243	coco	523243	Which description fits the image?	a surfboard and a wet suit	[ "a surfboard and a wet suit", "a paddleboard and a wet suit", "a snorkel and a wet suit" ]	[ { "label": "surfboard", "role": "answer", "box_xyxy": [ 130.3000030517578, 334, 217.5, 490.70001220703125 ] } ]	[ "a surfboard and a wet suit", "a surfboard and a sunscreen", "a surfboard and flip‑flops" ]	[ { "label": "wet suit", "role": "answer", "box_xyxy": [ 202.1999969482422, 126, 482.8999938964844, 434.79998779296875 ] } ]	W
jevc-train-000054	500	375	GQA	train	2366827	visual_genome	2366827	Who is ready to receive the pitch?	A catcher wearing a vest	[ "A catcher wearing a vest", "A pitcher wearing a vest", "A player wearing a vest" ]	[ { "label": "catcher", "role": "answer", "box_xyxy": [ 241, 186, 357, 314 ] } ]	[ "A catcher wearing a vest", "A catcher wearing a cap", "A catcher wearing sunglasses" ]	[ { "label": "vest", "role": "answer", "box_xyxy": [ 267, 210, 318, 266 ] } ]	W
jevc-train-000055	500	375	GQA	train	2400503	coco	325950	What do the cat and the curtain look like?	a gray cat and a brown curtain	[ "a gray cat and a brown curtain", "an orange cat and a brown curtain", "a blue cat and a brown curtain" ]	[ { "label": "cat", "role": "answer", "box_xyxy": [ 91, 12, 253, 275 ] } ]	[ "a gray cat and a brown curtain", "a gray cat and a black curtain", "a gray cat and a pink curtain" ]	[ { "label": "curtain", "role": "answer", "box_xyxy": [ 0, 2, 121, 374 ] } ]	W
jevc-train-000056	375	500	GQA	val	2406473	coco	572630	Which caption describes the image?	A motorcycle in a parking lot	[ "A motorcycle in a parking lot", "A signage in a parking lot", "A trashcan in a parking lot" ]	[ { "label": "motorcycle", "role": "answer", "box_xyxy": [ 120, 336, 198, 480 ] } ]	[ "A motorcycle in a parking lot", "A motorcycle in a garage", "A motorcycle in a museum" ]	[ { "label": "parking lot", "role": "answer", "box_xyxy": [ 2, 284, 373, 500 ] }, { "label": "garage", "role": "option", "box_xyxy": [ 0, 205, 104, 296 ] } ]	W
jevc-train-000057	640	360	LVIS v1	train	349943	coco	349943	Which description fits the image?	a sweater and a cake	[ "a sweater and a cake", "a hat and a cake", "gloves and a cake" ]	[ { "label": "sweater", "role": "answer", "box_xyxy": [ 182.60000610351562, 116.19999694824219, 323.3999938964844, 322.5 ] } ]	[ "a sweater and a cake", "a sweater and a plant", "a sweater and a tripod" ]	[ { "label": "cake", "role": "answer", "box_xyxy": [ 274.1000061035156, 280.6000061035156, 387.8999938964844, 346.1000061035156 ] } ]	S
jevc-train-000058	333	500	GQA	train	2397206	coco	207862	What do the vase and the camera look like?	a white vase and a black camera	[ "a white vase and a black camera", "a gray vase and a black camera", "a silver vase and a black camera" ]	[ { "label": "vase", "role": "answer", "box_xyxy": [ 124, 237, 253, 481 ] } ]	[ "a white vase and a black camera", "a white vase and a silver camera", "a white vase and a beige camera" ]	[ { "label": "camera", "role": "answer", "box_xyxy": [ 274, 297, 310, 375 ] } ]	S
jevc-train-000059	640	480	LVIS v1	train	170464	coco	170464	Which description fits the image?	a tank top and a signboard	[ "a tank top and a signboard", "a chopping board and a signboard", "sunglasses and a signboard" ]	[ { "label": "tank top", "role": "answer", "box_xyxy": [ 457.79998779296875, 178.89999389648438, 507.70001220703125, 247.39999389648438 ] } ]	[ "a tank top and a signboard", "a tank top and a camera", "a tank top and a gourd" ]	[ { "label": "signboard", "role": "answer", "box_xyxy": [ 480.3999938964844, 6.400000095367432, 575.7000122070312, 96.5999984741211 ] } ]	R
jevc-train-000060	500	331	VAW	null	2397902	visual_genome	2397902	What do the floor and the shirt look like?	a brown floor and a black shirt	[ "a brown floor and a black shirt", "a silver floor and a black shirt", "a gray floor and a black shirt" ]	[ { "label": "floor", "role": "answer", "box_xyxy": [ 5.800000190734863, 113.30000305175781, 106.80000305175781, 326.79998779296875 ] } ]	[ "a brown floor and a black shirt", "a brown floor and a white shirt", "a brown floor and a green shirt" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 440, 172.5, 484.29998779296875, 265.20001220703125 ] } ]	W
jevc-train-000061	559	640	LVIS v1	train	451248	coco	451248	Which description fits the image?	an umbrella and a tarp	[ "an umbrella and a tarp", "a suitcase and a tarp", "a guitar and a tarp" ]	[ { "label": "umbrella", "role": "answer", "box_xyxy": [ 104.5999984741211, 67.19999694824219, 296.29998779296875, 180.1999969482422 ] } ]	[ "an umbrella and a tarp", "an umbrella and a glass", "an umbrella and a blanket" ]	[ { "label": "tarp", "role": "answer", "box_xyxy": [ 47.599998474121094, 147.6999969482422, 150.39999389648438, 205.1999969482422 ] } ]	W
jevc-train-000062	375	500	GQA	train	2355036	coco	390157	What do the hair and the label look like?	a brown hair and a purple label	[ "a brown hair and a purple label", "a black hair and a purple label", "a white hair and a purple label" ]	[ { "label": "hair", "role": "answer", "box_xyxy": [ 280, 76, 368, 167 ] } ]	[ "a brown hair and a purple label", "a brown hair and a gray label", "a brown hair and a silver label" ]	[ { "label": "label", "role": "answer", "box_xyxy": [ 199, 258, 326, 453 ] } ]	W
jevc-train-000063	333	500	GQA	train	2327450	coco	225138	What do the pants and the jacket look like?	brown pants and a red jacket	[ "brown pants and a red jacket", "white pants and a red jacket", "yellow pants and a red jacket" ]	[ { "label": "pants", "role": "answer", "box_xyxy": [ 149, 237, 198, 341 ] } ]	[ "brown pants and a red jacket", "brown pants and a black jacket", "brown pants and a yellow jacket" ]	[ { "label": "jacket", "role": "answer", "box_xyxy": [ 135, 138, 211, 247 ] } ]	S
jevc-train-000064	640	498	LVIS v1	train	214460	coco	214460	Which description fits the image?	a handbag and trousers	[ "a handbag and trousers", "a camera and trousers", "a laptop and trousers" ]	[ { "label": "handbag", "role": "answer", "box_xyxy": [ 431.1000061035156, 250.5, 479, 329.6000061035156 ] } ]	[ "a handbag and trousers", "a handbag and sunglasses", "a handbag and a scarf" ]	[ { "label": "trousers", "role": "answer", "box_xyxy": [ 440.20001220703125, 326.29998779296875, 541, 427 ] } ]	W
jevc-train-000065	640	556	LVIS v1	train	424837	coco	424837	Which description fits the image?	a trash can and a teddy bear	[ "a trash can and a teddy bear", "a vest and a teddy bear", "a mat and a teddy bear" ]	[ { "label": "trash can", "role": "answer", "box_xyxy": [ 293.6000061035156, 150.39999389648438, 451.29998779296875, 345.70001220703125 ] } ]	[ "a trash can and a teddy bear", "a trash can and a mat", "a trash can and a bicycle" ]	[ { "label": "teddy bear", "role": "answer", "box_xyxy": [ 69.5999984741211, 22.100000381469727, 334.29998779296875, 459.6000061035156 ] } ]	W
jevc-train-000066	500	329	GQA	train	2371155	coco	246041	What do the shelf and the couch look like?	a brown shelf and a green couch	[ "a brown shelf and a green couch", "a gray shelf and a green couch", "a silver shelf and a green couch" ]	[ { "label": "shelf", "role": "answer", "box_xyxy": [ 220, 139, 285, 217 ] } ]	[ "a brown shelf and a green couch", "a brown shelf and a blue couch", "a brown shelf and a yellow couch" ]	[ { "label": "couch", "role": "answer", "box_xyxy": [ 317, 156, 499, 328 ] } ]	W
jevc-train-000067	500	375	GQA	train	2369513	coco	546928	What is the child holding in front of him?	A pizza in front of a boy	[ "A pizza in front of a boy", "A hand in front of a boy", "A book in front of a boy" ]	[ { "label": "pizza", "role": "answer", "box_xyxy": [ 0, 194, 500, 371 ] }, { "label": "hand", "role": "option", "box_xyxy": [ 285, 138, 361, 207 ] } ]	[ "A pizza in front of a boy", "A pizza in front of a customer", "A pizza in front of a girl" ]	[ { "label": "boy", "role": "answer", "box_xyxy": [ 35, 0, 363, 253 ] } ]	R
jevc-train-000068	1,024	1,009	GQA	train	713571	coco	98596	What do the shirt and the tape look like?	a gray shirt and a white tape	[ "a gray shirt and a white tape", "a black shirt and a white tape", "a beige shirt and a white tape" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 339, 172, 727, 618 ] } ]	[ "a gray shirt and a white tape", "a gray shirt and a black tape", "a gray shirt and a brown tape" ]	[ { "label": "tape", "role": "answer", "box_xyxy": [ 318, 518, 510, 700 ] } ]	S
jevc-train-000069	339	500	LVIS v1	val	542611	coco	542611	Which description fits the image?	a toaster and a chopping board	[ "a toaster and a chopping board", "a blender and a chopping board", "a coffee maker and a chopping board" ]	[ { "label": "toaster", "role": "answer", "box_xyxy": [ 137.1999969482422, 126.5, 316.70001220703125, 385.8999938964844 ] } ]	[ "a toaster and a chopping board", "a toaster and a lamp", "a toaster and a mug" ]	[ { "label": "chopping board", "role": "answer", "box_xyxy": [ 0, 16.899999618530273, 80.19999694824219, 253.89999389648438 ] } ]	S
jevc-train-000070	500	334	GQA	val	2396664	visual_genome	2396664	What do the silverware and the cup look like?	a silver silverware and a white cup	[ "a silver silverware and a white cup", "a gold silverware and a white cup", "a beige silverware and a white cup" ]	[ { "label": "silverware", "role": "answer", "box_xyxy": [ 416, 313, 500, 333 ] } ]	[ "a silver silverware and a white cup", "a silver silverware and a brown cup", "a silver silverware and a red cup" ]	[ { "label": "cup", "role": "answer", "box_xyxy": [ 152, 19, 279, 144 ] } ]	W
jevc-train-000071	500	375	VAW	null	2363619	coco	32061	What do the jacket and the costume look like?	a white jacket and a pink costume	[ "a white jacket and a pink costume", "an orange jacket and a pink costume", "a tan jacket and a pink costume" ]	[ { "label": "jacket", "role": "answer", "box_xyxy": [ 202.5, 157.5, 486.79998779296875, 371 ] } ]	[ "a white jacket and a pink costume", "a white jacket and a black costume", "a white jacket and a yellow costume" ]	[ { "label": "costume", "role": "answer", "box_xyxy": [ 2.5, 69.19999694824219, 188.5, 372.70001220703125 ] } ]	W
jevc-train-000072	500	333	GQA	train	2345178	visual_genome	2345178	What do the blanket and the neck look like?	a blue blanket and a white neck	[ "a blue blanket and a white neck", "a gray blanket and a white neck", "a silver blanket and a white neck" ]	[ { "label": "blanket", "role": "answer", "box_xyxy": [ 0, 185, 499, 272 ] } ]	[ "a blue blanket and a white neck", "a blue blanket and a tan neck", "a blue blanket and a brown neck" ]	[ { "label": "neck", "role": "answer", "box_xyxy": [ 158, 160, 239, 199 ] } ]	W
jevc-train-000073	375	500	GQA	train	2333184	coco	201530	What is placed on the furniture?	A vase on top of a table	[ "A vase on top of a table", "A salt shaker on top of a table", "A plant on top of a table" ]	[ { "label": "vase", "role": "answer", "box_xyxy": [ 59, 295, 209, 500 ] }, { "label": "salt shaker", "role": "option", "box_xyxy": [ 230, 348, 302, 446 ] } ]	[ "A vase on top of a table", "A vase on top of a counter", "A vase on top of a desk" ]	[ { "label": "table", "role": "answer", "box_xyxy": [ 0, 335, 375, 500 ] } ]	W
jevc-train-000074	480	640	LVIS v1	train	280540	coco	280540	Which description fits the image?	a cistern and a towel rack	[ "a cistern and a towel rack", "a hook and a towel rack", "a bath mat and a towel rack" ]	[ { "label": "cistern", "role": "answer", "box_xyxy": [ 131.6999969482422, 363.79998779296875, 262.5, 469.20001220703125 ] } ]	[ "a cistern and a towel rack", "a cistern and a hook", "a cistern and a mirror" ]	[ { "label": "towel rack", "role": "answer", "box_xyxy": [ 106.5999984741211, 179.1999969482422, 290.29998779296875, 231.89999389648438 ] } ]	W
jevc-train-000075	426	640	LVIS v1	train	454810	coco	454810	Which description fits the image?	a chopping board and a kitchen sink	[ "a chopping board and a kitchen sink", "a fire alarm and a kitchen sink", "a toaster and a kitchen sink" ]	[ { "label": "chopping board", "role": "answer", "box_xyxy": [ 259.29998779296875, 305.8999938964844, 395.1000061035156, 372.20001220703125 ] } ]	[ "a chopping board and a kitchen sink", "a chopping board and a dishwasher", "a chopping board and a trash can" ]	[ { "label": "kitchen sink", "role": "answer", "box_xyxy": [ 40.20000076293945, 392.8999938964844, 425.20001220703125, 498.79998779296875 ] } ]	W
jevc-train-000076	474	500	VAW	null	2409922	visual_genome	2409922	What do the belly and the kitten look like?	a white belly and a gray kitten	[ "a white belly and a gray kitten", "a yellow belly and a gray kitten", "a black belly and a gray kitten" ]	[ { "label": "belly", "role": "answer", "box_xyxy": [ 195.10000610351562, 267, 242.6999969482422, 385.70001220703125 ] } ]	[ "a white belly and a gray kitten", "a white belly and a black kitten", "a white belly and a beige kitten" ]	[ { "label": "kitten", "role": "answer", "box_xyxy": [ 112, 73, 301, 431 ] } ]	W
jevc-train-000077	500	375	GQA	train	2360164	visual_genome	2360164	What do the bag and the paint look like?	a black bag and a yellow paint	[ "a black bag and a yellow paint", "a white bag and a yellow paint", "a silver bag and a yellow paint" ]	[ { "label": "bag", "role": "answer", "box_xyxy": [ 158, 200, 195, 262 ] } ]	[ "a black bag and a yellow paint", "a black bag and a white paint", "a black bag and a beige paint" ]	[ { "label": "paint", "role": "answer", "box_xyxy": [ 186, 318, 223, 373 ] } ]	W
jevc-train-000078	500	333	GQA	train	2356789	coco	351451	What do the socks and the shirt look like?	white socks and a blue shirt	[ "white socks and a blue shirt", "green socks and a blue shirt", "tan socks and a blue shirt" ]	[ { "label": "socks", "role": "answer", "box_xyxy": [ 380, 229, 457, 286 ] } ]	[ "white socks and a blue shirt", "white socks and a gray shirt", "white socks and a black shirt" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 225, 74, 293, 157 ] } ]	W
jevc-train-000079	640	427	LVIS v1	train	370175	coco	370175	Which description fits the image?	a parking meter and a dog	[ "a parking meter and a dog", "a trash can and a dog", "a bicycle and a dog" ]	[ { "label": "parking meter", "role": "answer", "box_xyxy": [ 414.79998779296875, 0, 439.3999938964844, 164.6999969482422 ] } ]	[ "a parking meter and a dog", "a parking meter and a bicycle", "a parking meter and a signboard" ]	[ { "label": "dog", "role": "answer", "box_xyxy": [ 422.1000061035156, 157.6999969482422, 612, 391.8999938964844 ] } ]	S
jevc-train-000080	333	500	GQA	train	2405445	coco	401244	What do the shorts and the frisbee look like?	black shorts and a white frisbee	[ "black shorts and a white frisbee", "gray shorts and a white frisbee", "beige shorts and a white frisbee" ]	[ { "label": "shorts", "role": "answer", "box_xyxy": [ 101, 247, 206, 330 ] } ]	[ "black shorts and a white frisbee", "black shorts and a gray frisbee", "black shorts and a yellow frisbee" ]	[ { "label": "frisbee", "role": "answer", "box_xyxy": [ 136, 187, 212, 224 ] } ]	W
jevc-train-000081	500	372	GQA	train	2356404	coco	205116	What is attached to the vertical surface?	A clock hanging on a wall	[ "A clock hanging on a wall", "A poster hanging on a wall", "A calendar hanging on a wall" ]	[ { "label": "clock", "role": "answer", "box_xyxy": [ 73, 164, 116, 208 ] }, { "label": "poster", "role": "option", "box_xyxy": [ 0, 300, 59, 366 ] } ]	[ "A clock hanging on a wall", "A clock hanging on a panel", "A clock hanging on a board" ]	[ { "label": "wall", "role": "answer", "box_xyxy": [ 0, 73, 184, 302 ] } ]	S
jevc-train-000082	500	375	GQA	train	2376730	coco	390646	What stands before the structure in the scene?	A tree trunk in front of a building	[ "A tree trunk in front of a building", "A bush in front of a building", "A signpost in front of a building" ]	[ { "label": "tree trunk", "role": "answer", "box_xyxy": [ 413, 4, 428, 189 ] }, { "label": "bush", "role": "option", "box_xyxy": [ 384, 214, 498, 322 ] } ]	[ "A tree trunk in front of a building", "A tree trunk in front of a fence", "A tree trunk in front of a gate" ]	[ { "label": "building", "role": "answer", "box_xyxy": [ 367, 0, 499, 83 ] } ]	S
jevc-train-000083	640	640	LVIS v1	train	170992	coco	170992	Which description fits the image?	a handbag and an umbrella	[ "a handbag and an umbrella", "a laptop and an umbrella", "a book and an umbrella" ]	[ { "label": "handbag", "role": "answer", "box_xyxy": [ 398.79998779296875, 386.1000061035156, 508.20001220703125, 539.5999755859375 ] } ]	[ "a handbag and an umbrella", "a handbag and a coffee cup", "a handbag and a lampshade" ]	[ { "label": "umbrella", "role": "answer", "box_xyxy": [ 405.79998779296875, 293.79998779296875, 637.7000122070312, 384.70001220703125 ] } ]	S
jevc-train-000084	500	334	GQA	train	2320380	visual_genome	2320380	What do the pillow and the door look like?	a white pillow and a gray door	[ "a white pillow and a gray door", "a brown pillow and a gray door", "a green pillow and a gray door" ]	[ { "label": "pillow", "role": "answer", "box_xyxy": [ 1, 176, 112, 298 ] } ]	[ "a white pillow and a gray door", "a white pillow and a yellow door", "a white pillow and a blue door" ]	[ { "label": "door", "role": "answer", "box_xyxy": [ 424, 0, 500, 195 ] } ]	S
jevc-train-000085	480	640	LVIS v1	train	359399	coco	359399	Which description fits the image?	a bed and a headboard	[ "a bed and a headboard", "a clock and a headboard", "a plant and a headboard" ]	[ { "label": "bed", "role": "answer", "box_xyxy": [ 16.5, 397.8999938964844, 479.20001220703125, 637.2000122070312 ] } ]	[ "a bed and a headboard", "a bed and a clock", "a bed and a plant" ]	[ { "label": "headboard", "role": "answer", "box_xyxy": [ 0, 266.20001220703125, 98, 471.5 ] } ]	W
jevc-train-000086	500	375	GQA	train	2362282	coco	272064	What do the shirt and the shorts look like?	a yellow shirt and white shorts	[ "a yellow shirt and white shorts", "a tan shirt and white shorts", "a black shirt and white shorts" ]	[ { "label": "shirt", "role": "answer", "box_xyxy": [ 198, 143, 258, 229 ] } ]	[ "a yellow shirt and white shorts", "a yellow shirt and brown shorts", "a yellow shirt and gray shorts" ]	[ { "label": "shorts", "role": "answer", "box_xyxy": [ 228, 212, 273, 275 ] } ]	S
jevc-train-000087	640	480	LVIS v1	train	57878	coco	57878	Which description fits the image?	a knife and a beer bottle	[ "a knife and a beer bottle", "a spoon and a beer bottle", "a phone and a beer bottle" ]	[ { "label": "knife", "role": "answer", "box_xyxy": [ 431.8999938964844, 360.3999938964844, 490.70001220703125, 480 ] } ]	[ "a knife and a beer bottle", "a knife and a smartphone", "a knife and a soda can" ]	[ { "label": "beer bottle", "role": "answer", "box_xyxy": [ 500.20001220703125, 152.60000610351562, 573.5, 329 ] } ]	R
jevc-train-000088	640	480	LVIS v1	train	178081	coco	178081	Which description fits the image?	a tennis racket and a chair	[ "a tennis racket and a chair", "a guitar and a chair", "an amplifier and a chair" ]	[ { "label": "tennis racket", "role": "answer", "box_xyxy": [ 321.20001220703125, 269.3999938964844, 481, 478.3999938964844 ] } ]	[ "a tennis racket and a chair", "a tennis racket and a ball", "a tennis racket and a ping-pong ball" ]	[ { "label": "chair", "role": "answer", "box_xyxy": [ 53.29999923706055, 359, 153.1999969482422, 480 ] } ]	S
jevc-train-000089	500	334	GQA	train	2407311	visual_genome	2407311	What do the cone and the post look like?	an orange cone and a white post	[ "an orange cone and a white post", "a silver cone and a white post", "a tan cone and a white post" ]	[ { "label": "cone", "role": "answer", "box_xyxy": [ 7, 182, 60, 261 ] } ]	[ "an orange cone and a white post", "an orange cone and a tan post", "an orange cone and a purple post" ]	[ { "label": "post", "role": "answer", "box_xyxy": [ 85, 0, 124, 179 ] } ]	R
jevc-train-000090	1,024	576	GQA	train	05408513	visual_genome	498324	What's in the kitchen?	drum	[ "drum", "stove", "bottle" ]	[ { "label": "drum", "role": "answer", "box_xyxy": [ 221, 217, 758, 551 ] }, { "label": "stove", "role": "option", "box_xyxy": [ 32, 155, 193, 498 ] } ]	[ "drum", "shirt", "bottle" ]	[ { "label": "drum", "role": "answer", "box_xyxy": [ 221, 217, 758, 551 ] }, { "label": "shirt", "role": "option", "box_xyxy": [ 469, 94, 627, 252 ] } ]	S
jevc-train-000091	640	426	LVIS v1	train	417332	coco	417332	Which description fits the image?	a baseball bat and a mound	[ "a baseball bat and a mound", "a giant panda and a mound", "a shovel and a mound" ]	[ { "label": "baseball bat", "role": "answer", "box_xyxy": [ 516.2999877929688, 100.0999984741211, 634.4000244140625, 173.3000030517578 ] } ]	[ "a baseball bat and a mound", "a baseball bat and a mailbox", "a baseball bat and a bench" ]	[ { "label": "mound", "role": "answer", "box_xyxy": [ 106, 229.6999969482422, 488.20001220703125, 267.79998779296875 ] } ]	W
jevc-train-000092	424	640	LVIS v1	train	479909	coco	479909	Which description fits the image?	a refrigerator and a kettle	[ "a refrigerator and a kettle", "a microwave and a kettle", "a knocker and a kettle" ]	[ { "label": "refrigerator", "role": "answer", "box_xyxy": [ 0, 0, 99.9000015258789, 595.2999877929688 ] } ]	[ "a refrigerator and a kettle", "a refrigerator and a microwave", "a refrigerator and a ginger" ]	[ { "label": "kettle", "role": "answer", "box_xyxy": [ 261.5, 231.3000030517578, 327.20001220703125, 284.1000061035156 ] } ]	S
jevc-train-000093	426	640	LVIS v1	train	503470	coco	503470	Which description fits the image?	a perfume and a pillow	[ "a perfume and a pillow", "a phone and a pillow", "glasses and a pillow" ]	[ { "label": "perfume", "role": "answer", "box_xyxy": [ 317.70001220703125, 501.1000061035156, 409.8999938964844, 631.4000244140625 ] } ]	[ "a perfume and a pillow", "a perfume and a scarf", "a perfume and a watch" ]	[ { "label": "pillow", "role": "answer", "box_xyxy": [ 77.9000015258789, 331.6000061035156, 228.3000030517578, 422.1000061035156 ] } ]	W
jevc-train-000094	426	640	LVIS v1	train	329546	coco	329546	Which description fits the image?	a cistern and a pipe	[ "a cistern and a pipe", "a refrigerator and a pipe", "a cooler and a pipe" ]	[ { "label": "cistern", "role": "answer", "box_xyxy": [ 161.10000610351562, 403, 253.6999969482422, 473.79998779296875 ] } ]	[ "a cistern and a pipe", "a cistern and a pump", "a cistern and a rope" ]	[ { "label": "pipe", "role": "answer", "box_xyxy": [ 303.8999938964844, 522, 382.8999938964844, 640 ] } ]	W
jevc-train-000095	500	333	GQA	train	2383381	visual_genome	2383381	What do the car and the staircase look like?	a blue car and a black staircase	[ "a blue car and a black staircase", "a yellow car and a black staircase", "a gray car and a black staircase" ]	[ { "label": "car", "role": "answer", "box_xyxy": [ 102, 156, 298, 273 ] } ]	[ "a blue car and a black staircase", "a blue car and a red staircase", "a blue car and a tan staircase" ]	[ { "label": "staircase", "role": "answer", "box_xyxy": [ 240, 1, 298, 134 ] } ]	W
jevc-train-000096	313	500	GQA	train	2410582	coco	463699	What is someone doing on a city path?	A woman standing on a sidewalk	[ "A woman standing on a sidewalk", "A man standing on a sidewalk", "An elderly man standing on a sidewalk" ]	[ { "label": "woman", "role": "answer", "box_xyxy": [ 102, 194, 237, 499 ] } ]	[ "A woman standing on a sidewalk", "A woman standing on a street", "A woman standing on a plaza" ]	[ { "label": "sidewalk", "role": "answer", "box_xyxy": [ 55, 392, 259, 498 ] } ]	W
jevc-train-000097	429	640	LVIS v1	train	101283	coco	101283	Which description fits the image?	a toilet and a sink	[ "a toilet and a sink", "a scale and a sink", "a bidet and a sink" ]	[ { "label": "toilet", "role": "answer", "box_xyxy": [ 234.5, 391.6000061035156, 312.5, 542.5999755859375 ] } ]	[ "a toilet and a sink", "a toilet and a shower curtain", "a toilet and a tapestry" ]	[ { "label": "sink", "role": "answer", "box_xyxy": [ 0, 487.70001220703125, 128.6999969482422, 640 ] } ]	S
jevc-train-000098	497	500	GQA	train	2411525	coco	555461	What is placed on the surface?	A book on top of a table	[ "A book on top of a table", "A man on top of a table", "A lamp on top of a table" ]	[ { "label": "book", "role": "answer", "box_xyxy": [ 0, 432, 73, 467 ] }, { "label": "man", "role": "option", "box_xyxy": [ 22, 61, 417, 433 ] } ]	[ "A book on top of a table", "A book on top of a hand", "A book on top of a crate" ]	[ { "label": "table", "role": "answer", "box_xyxy": [ 1, 402, 456, 499 ] }, { "label": "hand", "role": "option", "box_xyxy": [ 122, 251, 198, 324 ] } ]	W
jevc-train-000099	500	375	GQA	train	2398534	visual_genome	2398534	What do the trash and the door look like?	a blue trash and a white door	[ "a blue trash and a white door", "a brown trash and a white door", "a yellow trash and a white door" ]	[ { "label": "trash", "role": "answer", "box_xyxy": [ 44, 282, 114, 361 ] } ]	[ "a blue trash and a white door", "a blue trash and a gray door", "a blue trash and a beige door" ]	[ { "label": "door", "role": "answer", "box_xyxy": [ 410, 54, 500, 374 ] } ]	R

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JEV-Contrast

Dataset Description:

JEV-Contrast is a multiple-choice visual question answering dataset. Each item has one image, one question and one correct answer, and offers two candidate sets. Every option in a set differs from the correct answer in one detail, so each set requires checking a different region of the image. These evidence regions are annotated per set.

This dataset is for research and development only.

Dataset Creation Date:

2026-10-13

Version:

0.3.3

License/Terms of Use:

The annotations created for this dataset (questions, candidate sets, evidence regions, tiers, splits) are released under CC BY 4.0. Images and the source annotations they derive from remain subject to their original licences and terms:

source	licence / terms
Visual Genome images and annotations	CC BY 4.0
GQA questions and scene graphs	CC BY 4.0
COCO images	Flickr terms of use (per-image licences)
LVIS v1 annotations	CC BY 4.0
VAW annotations	see the VAW repository
Open Images V7 images / annotations	images listed as CC BY 2.0; annotations CC BY 4.0

Users are responsible for complying with these terms.

Intended Usage:

Evaluating and training vision-language models on candidate-dependent visual evidence (multiple-choice VQA with per-candidate-set evidence regions).

Dataset Characterization

Data Collection Method

Hybrid: Automated, Synthetic. Images and object annotations come from public datasets; questions and options are generated from scene graphs and annotations, with model-written candidate options.

Labeling Method

Hybrid: Automated, Synthetic. Labels come from the source annotations; items are filtered by model-based quality checks. The validation and test splits are also verified by a reasoning judge and a three-model panel.

Dataset Format

Parquet with embedded images (HF Image feature), text fields and structured evidence boxes. Light JSONL annotations without images are in annotations/.

Usage

from datasets import load_dataset
ds = load_dataset("tudo-vn/JEV-Contrast")
ex = ds["test"][0]
ex["image"]            # PIL image
ex["set1_options"]     # candidate set 1; the correct answer is listed first, so shuffle before evaluation
ex["set1_evidence"]    # evidence regions for set 1: [{"label", "role", "box_xyxy"}]

Fields

field	description
`id`	item id
`image`	the image
`width`, `height`	coordinate frame of the evidence boxes
`source_dataset`, `source_split`, `source_id`	provenance: source dataset (`GQA`, `LVIS v1`, `VAW`, `Open Images V7`), its split, and the original record id (GQA question id for items built from GQA questions, otherwise the image id). Images reserved for our validation/test may come from a source's train split; they never appear in our train split.
`image_source`, `image_id`	image provenance for deduplication (`visual_genome`, `coco`, `open_images`); Visual Genome photos that are also COCO photos are listed under COCO
`question`, `answer`	question and correct answer
`set1_options`, `set2_options`	the two candidate sets (each contains the correct answer, listed first)
`set1_evidence`, `set2_evidence`	evidence regions needed to rule out the other options of that set: `label`, `role` (`answer` or `option`), `box_xyxy`
`tier`	`S` / `R`: evidence regions verified as necessary; `W` (train only): answer verified, evidence-region necessity not guaranteed

Dataset Quantification

split	records
train	29,537
validation	600
test	2,575
test_ood	102

Total storage: about 4.7 GB.

Preview

question	set 1 options	set 2 options
What is the bag on?	table ✓ counter cushion	table ✓ refrigerator cushion
What is hidden inside the travel gear?	A dog inside a backpack ✓ Eye glasses inside a backpack A camera inside a backpack	A dog inside a backpack ✓ A dog inside a suitcase A dog inside a basket
What is depicted in the artwork?	A person in a painting ✓ A curtain in a painting A cat in a painting	A person in a painting ✓ A person in a poster A person in a mirror
Which description fits the image?	a radio receiver and a basket ✓ a plant and a basket a crow and a basket	a radio receiver and a basket ✓ a radio receiver and a cake a radio receiver and a plant
What is the man wearing?	blue jeans and a gray jacket ✓ white jeans and a gray jacket tan jeans and a gray jacket	blue jeans and a gray jacket ✓ blue jeans and a black jacket blue jeans and a white jacket
What do the curtain and the shirt look like?	a blue curtain and a white shirt ✓ a beige curtain and a white shirt a pink curtain and a white shirt	a blue curtain and a white shirt ✓ a blue curtain and a black shirt a blue curtain and a yellow shirt
Which caption describes the image?	A man kissing a girl ✓ A puppet kissing a girl A woman kissing a girl	A man kissing a girl ✓ A man kissing a woman A man kissing a human leg

Reference(s):

Source datasets: Visual Genome, GQA, COCO, LVIS, VAW, Open Images V7.

Ethical Considerations:

Images come from public photo collections and may show people. Items were generated and filtered automatically and spot-checked by models, not fully verified by humans; some labels or evidence boxes may be wrong. Users should check that the dataset meets their requirements and the applicable terms of the source datasets.

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