id stringlengths 1 4 | question_id stringlengths 1 4 | question stringclasses 86
values | answer stringclasses 2
values | image_source stringclasses 500
values | image imagewidth (px) 333 640 | category stringclasses 3
values |
|---|---|---|---|---|---|---|
1200 | 1201 | Is there a backpack in the image? | yes | COCO_val2014_000000396338 | adversarial | |
1201 | 1202 | Is there a skis in the image? | no | COCO_val2014_000000396338 | adversarial | |
1202 | 1203 | Is there a truck in the image? | yes | COCO_val2014_000000396338 | adversarial | |
1203 | 1204 | Is there a traffic light in the image? | no | COCO_val2014_000000396338 | adversarial | |
1204 | 1205 | Is there a person in the image? | yes | COCO_val2014_000000396338 | adversarial | |
1205 | 1206 | Is there a dining table in the image? | no | COCO_val2014_000000396338 | adversarial | |
1206 | 1207 | Is there a person in the image? | yes | COCO_val2014_000000124930 | adversarial | |
1207 | 1208 | Is there a car in the image? | no | COCO_val2014_000000124930 | adversarial | |
1208 | 1209 | Is there a bowl in the image? | yes | COCO_val2014_000000124930 | adversarial | |
1209 | 1210 | Is there a dining table in the image? | no | COCO_val2014_000000124930 | adversarial | |
1210 | 1211 | Is there a spoon in the image? | yes | COCO_val2014_000000124930 | adversarial | |
1211 | 1212 | Is there a bottle in the image? | no | COCO_val2014_000000124930 | adversarial | |
1212 | 1213 | Is there a person in the image? | yes | COCO_val2014_000000112664 | adversarial | |
1213 | 1214 | Is there a car in the image? | no | COCO_val2014_000000112664 | adversarial | |
1214 | 1215 | Is there a handbag in the image? | yes | COCO_val2014_000000112664 | adversarial | |
1215 | 1216 | Is there a backpack in the image? | no | COCO_val2014_000000112664 | adversarial | |
1216 | 1217 | Is there a suitcase in the image? | yes | COCO_val2014_000000112664 | adversarial | |
1217 | 1218 | Is there a bottle in the image? | no | COCO_val2014_000000112664 | adversarial | |
1218 | 1219 | Is there a truck in the image? | yes | COCO_val2014_000000377879 | adversarial | |
1219 | 1220 | Is there a person in the image? | no | COCO_val2014_000000377879 | adversarial | |
1220 | 1221 | Is there a train in the image? | yes | COCO_val2014_000000377879 | adversarial | |
1221 | 1222 | Is there a car in the image? | no | COCO_val2014_000000377879 | adversarial | |
1222 | 1223 | Is there a bed in the image? | yes | COCO_val2014_000000377879 | adversarial | |
1223 | 1224 | Is there a book in the image? | no | COCO_val2014_000000377879 | adversarial | |
1224 | 1225 | Is there a truck in the image? | yes | COCO_val2014_000000377401 | adversarial | |
1225 | 1226 | Is there a person in the image? | no | COCO_val2014_000000377401 | adversarial | |
1226 | 1227 | Is there a clock in the image? | yes | COCO_val2014_000000377401 | adversarial | |
1227 | 1228 | Is there a chair in the image? | no | COCO_val2014_000000377401 | adversarial | |
1228 | 1229 | Is there a car in the image? | yes | COCO_val2014_000000377401 | adversarial | |
1229 | 1230 | Is there a bus in the image? | no | COCO_val2014_000000377401 | adversarial | |
1230 | 1231 | Is there a vase in the image? | yes | COCO_val2014_000000049473 | adversarial | |
1231 | 1232 | Is there a potted plant in the image? | no | COCO_val2014_000000049473 | adversarial | |
1232 | 1233 | Is there a book in the image? | yes | COCO_val2014_000000049473 | adversarial | |
1233 | 1234 | Is there a person in the image? | no | COCO_val2014_000000049473 | adversarial | |
1234 | 1235 | Is there a dining table in the image? | yes | COCO_val2014_000000049473 | adversarial | |
1235 | 1236 | Is there a cup in the image? | no | COCO_val2014_000000049473 | adversarial | |
1236 | 1237 | Is there a person in the image? | yes | COCO_val2014_000000153865 | adversarial | |
1237 | 1238 | Is there a dining table in the image? | no | COCO_val2014_000000153865 | adversarial | |
1238 | 1239 | Is there a car in the image? | yes | COCO_val2014_000000153865 | adversarial | |
1239 | 1240 | Is there a truck in the image? | no | COCO_val2014_000000153865 | adversarial | |
1240 | 1241 | Is there a kite in the image? | yes | COCO_val2014_000000153865 | adversarial | |
1241 | 1242 | Is there an umbrella in the imange? | no | COCO_val2014_000000153865 | adversarial | |
1242 | 1243 | Is there a banana in the image? | yes | COCO_val2014_000000383185 | adversarial | |
1243 | 1244 | Is there a dining table in the image? | no | COCO_val2014_000000383185 | adversarial | |
1244 | 1245 | Is there a spoon in the image? | yes | COCO_val2014_000000383185 | adversarial | |
1245 | 1246 | Is there a person in the image? | no | COCO_val2014_000000383185 | adversarial | |
1246 | 1247 | Is there a bowl in the image? | yes | COCO_val2014_000000383185 | adversarial | |
1247 | 1248 | Is there a knife in the image? | no | COCO_val2014_000000383185 | adversarial | |
1248 | 1249 | Is there a person in the image? | yes | COCO_val2014_000000388983 | adversarial | |
1249 | 1250 | Is there a car in the image? | no | COCO_val2014_000000388983 | adversarial | |
1250 | 1251 | Is there a bowl in the image? | yes | COCO_val2014_000000388983 | adversarial | |
1251 | 1252 | Is there a spoon in the image? | no | COCO_val2014_000000388983 | adversarial | |
1252 | 1253 | Is there a sandwich in the image? | yes | COCO_val2014_000000388983 | adversarial | |
1253 | 1254 | Is there a fork in the image? | no | COCO_val2014_000000388983 | adversarial | |
1254 | 1255 | Is there a backpack in the image? | yes | COCO_val2014_000000295377 | adversarial | |
1255 | 1256 | Is there a handbag in the image? | no | COCO_val2014_000000295377 | adversarial | |
1256 | 1257 | Is there a person in the image? | yes | COCO_val2014_000000295377 | adversarial | |
1257 | 1258 | Is there a car in the image? | no | COCO_val2014_000000295377 | adversarial | |
1258 | 1259 | Is there a skis in the image? | yes | COCO_val2014_000000295377 | adversarial | |
1259 | 1260 | Is there a snowboard in the image? | no | COCO_val2014_000000295377 | adversarial | |
1260 | 1261 | Is there a chair in the image? | yes | COCO_val2014_000000034773 | adversarial | |
1261 | 1262 | Is there a person in the image? | no | COCO_val2014_000000034773 | adversarial | |
1262 | 1263 | Is there a dog in the image? | yes | COCO_val2014_000000034773 | adversarial | |
1263 | 1264 | Is there a car in the image? | no | COCO_val2014_000000034773 | adversarial | |
1264 | 1265 | Is there a couch in the image? | yes | COCO_val2014_000000034773 | adversarial | |
1265 | 1266 | Is there a tv in the image? | no | COCO_val2014_000000034773 | adversarial | |
1266 | 1267 | Is there a truck in the image? | yes | COCO_val2014_000000244455 | adversarial | |
1267 | 1268 | Is there a traffic light in the image? | no | COCO_val2014_000000244455 | adversarial | |
1268 | 1269 | Is there a person in the image? | yes | COCO_val2014_000000244455 | adversarial | |
1269 | 1270 | Is there a dining table in the image? | no | COCO_val2014_000000244455 | adversarial | |
1270 | 1271 | Is there a bicycle in the image? | yes | COCO_val2014_000000244455 | adversarial | |
1271 | 1272 | Is there a bus in the image? | no | COCO_val2014_000000244455 | adversarial | |
1272 | 1273 | Is there a spoon in the image? | yes | COCO_val2014_000000303652 | adversarial | |
1273 | 1274 | Is there a bowl in the image? | no | COCO_val2014_000000303652 | adversarial | |
1274 | 1275 | Is there a dining table in the image? | yes | COCO_val2014_000000303652 | adversarial | |
1275 | 1276 | Is there a person in the image? | no | COCO_val2014_000000303652 | adversarial | |
1276 | 1277 | Is there a knife in the image? | yes | COCO_val2014_000000303652 | adversarial | |
1277 | 1278 | Is there a bottle in the image? | no | COCO_val2014_000000303652 | adversarial | |
1278 | 1279 | Is there a truck in the image? | yes | COCO_val2014_000000098493 | adversarial | |
1279 | 1280 | Is there a traffic light in the image? | no | COCO_val2014_000000098493 | adversarial | |
1280 | 1281 | Is there a clock in the image? | yes | COCO_val2014_000000098493 | adversarial | |
1281 | 1282 | Is there a dining table in the image? | no | COCO_val2014_000000098493 | adversarial | |
1282 | 1283 | Is there a person in the image? | yes | COCO_val2014_000000098493 | adversarial | |
1283 | 1284 | Is there a handbag in the image? | no | COCO_val2014_000000098493 | adversarial | |
1284 | 1285 | Is there a traffic light in the image? | yes | COCO_val2014_000000201148 | adversarial | |
1285 | 1286 | Is there a car in the image? | no | COCO_val2014_000000201148 | adversarial | |
1286 | 1287 | Is there a person in the image? | yes | COCO_val2014_000000201148 | adversarial | |
1287 | 1288 | Is there a dining table in the image? | no | COCO_val2014_000000201148 | adversarial | |
1288 | 1289 | Is there a train in the image? | yes | COCO_val2014_000000201148 | adversarial | |
1289 | 1290 | Is there a truck in the image? | no | COCO_val2014_000000201148 | adversarial | |
1290 | 1291 | Is there a pizza in the image? | yes | COCO_val2014_000000307166 | adversarial | |
1291 | 1292 | Is there a person in the image? | no | COCO_val2014_000000307166 | adversarial | |
1292 | 1293 | Is there a bottle in the image? | yes | COCO_val2014_000000307166 | adversarial | |
1293 | 1294 | Is there a cup in the image? | no | COCO_val2014_000000307166 | adversarial | |
1294 | 1295 | Is there an oven in the imange? | yes | COCO_val2014_000000307166 | adversarial | |
1295 | 1296 | Is there a spoon in the image? | no | COCO_val2014_000000307166 | adversarial | |
1296 | 1297 | Is there a clock in the image? | yes | COCO_val2014_000000313034 | adversarial | |
1297 | 1298 | Is there a chair in the image? | no | COCO_val2014_000000313034 | adversarial | |
1298 | 1299 | Is there a person in the image? | yes | COCO_val2014_000000313034 | adversarial | |
1299 | 1300 | Is there a car in the image? | no | COCO_val2014_000000313034 | adversarial |
Subsets and Splits
SQL Console for lmms-lab/POPE
Retrieves specific instances of a particular question and its answers, providing basic filtering but limited analytical value beyond finding examples of a specific query.
Filter Yes Answers
Retrieves all records from the dataset where the answer is 'yes', providing basic filtering but limited analytical value.