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 |
|---|---|---|---|---|---|---|
1300 | 1301 | Is there a bottle in the image? | yes | COCO_val2014_000000313034 | adversarial | |
1301 | 1302 | Is there a dining table in the image? | no | COCO_val2014_000000313034 | adversarial | |
1302 | 1303 | Is there a person in the image? | yes | COCO_val2014_000000355342 | adversarial | |
1303 | 1304 | Is there a car in the image? | no | COCO_val2014_000000355342 | adversarial | |
1304 | 1305 | Is there an orange in the imange? | yes | COCO_val2014_000000355342 | adversarial | |
1305 | 1306 | Is there a dining table in the image? | no | COCO_val2014_000000355342 | adversarial | |
1306 | 1307 | Is there an umbrella in the imange? | yes | COCO_val2014_000000355342 | adversarial | |
1307 | 1308 | Is there a handbag in the image? | no | COCO_val2014_000000355342 | adversarial | |
1308 | 1309 | Is there a chair in the image? | yes | COCO_val2014_000000333237 | adversarial | |
1309 | 1310 | Is there a person in the image? | no | COCO_val2014_000000333237 | adversarial | |
1310 | 1311 | Is there a bed in the image? | yes | COCO_val2014_000000333237 | adversarial | |
1311 | 1312 | Is there a book in the image? | no | COCO_val2014_000000333237 | adversarial | |
1312 | 1313 | Is there a dining table in the image? | yes | COCO_val2014_000000333237 | adversarial | |
1313 | 1314 | Is there a cup in the image? | no | COCO_val2014_000000333237 | adversarial | |
1314 | 1315 | Is there a laptop in the image? | yes | COCO_val2014_000000526368 | adversarial | |
1315 | 1316 | Is there a tv in the image? | no | COCO_val2014_000000526368 | adversarial | |
1316 | 1317 | Is there a dining table in the image? | yes | COCO_val2014_000000526368 | adversarial | |
1317 | 1318 | Is there a person in the image? | no | COCO_val2014_000000526368 | adversarial | |
1318 | 1319 | Is there a chair in the image? | yes | COCO_val2014_000000526368 | adversarial | |
1319 | 1320 | Is there a couch in the image? | no | COCO_val2014_000000526368 | adversarial | |
1320 | 1321 | Is there a chair in the image? | yes | COCO_val2014_000000429033 | adversarial | |
1321 | 1322 | Is there a dining table in the image? | no | COCO_val2014_000000429033 | adversarial | |
1322 | 1323 | Is there a person in the image? | yes | COCO_val2014_000000429033 | adversarial | |
1323 | 1324 | Is there a car in the image? | no | COCO_val2014_000000429033 | adversarial | |
1324 | 1325 | Is there a laptop in the image? | yes | COCO_val2014_000000429033 | adversarial | |
1325 | 1326 | Is there a tv in the image? | no | COCO_val2014_000000429033 | adversarial | |
1326 | 1327 | Is there a tv in the image? | yes | COCO_val2014_000000287035 | adversarial | |
1327 | 1328 | Is there a person in the image? | no | COCO_val2014_000000287035 | adversarial | |
1328 | 1329 | Is there a mouse in the image? | yes | COCO_val2014_000000287035 | adversarial | |
1329 | 1330 | Is there a book in the image? | no | COCO_val2014_000000287035 | adversarial | |
1330 | 1331 | Is there a laptop in the image? | yes | COCO_val2014_000000287035 | adversarial | |
1331 | 1332 | Is there a bottle in the image? | no | COCO_val2014_000000287035 | adversarial | |
1332 | 1333 | Is there a person in the image? | yes | COCO_val2014_000000299074 | adversarial | |
1333 | 1334 | Is there a car in the image? | no | COCO_val2014_000000299074 | adversarial | |
1334 | 1335 | Is there a cell phone in the image? | yes | COCO_val2014_000000299074 | adversarial | |
1335 | 1336 | Is there a dining table in the image? | no | COCO_val2014_000000299074 | adversarial | |
1336 | 1337 | Is there a bus in the image? | yes | COCO_val2014_000000299074 | adversarial | |
1337 | 1338 | Is there a traffic light in the image? | no | COCO_val2014_000000299074 | adversarial | |
1338 | 1339 | Is there a handbag in the image? | yes | COCO_val2014_000000120648 | adversarial | |
1339 | 1340 | Is there a person in the image? | no | COCO_val2014_000000120648 | adversarial | |
1340 | 1341 | Is there a dining table in the image? | yes | COCO_val2014_000000120648 | adversarial | |
1341 | 1342 | Is there a cup in the image? | no | COCO_val2014_000000120648 | adversarial | |
1342 | 1343 | Is there a suitcase in the image? | yes | COCO_val2014_000000120648 | adversarial | |
1343 | 1344 | Is there a backpack in the image? | no | COCO_val2014_000000120648 | adversarial | |
1344 | 1345 | Is there a car in the image? | yes | COCO_val2014_000000186709 | adversarial | |
1345 | 1346 | Is there a person in the image? | no | COCO_val2014_000000186709 | adversarial | |
1346 | 1347 | Is there a truck in the image? | yes | COCO_val2014_000000186709 | adversarial | |
1347 | 1348 | Is there a traffic light in the image? | no | COCO_val2014_000000186709 | adversarial | |
1348 | 1349 | Is there an orange in the imange? | yes | COCO_val2014_000000186709 | adversarial | |
1349 | 1350 | Is there a dining table in the image? | no | COCO_val2014_000000186709 | adversarial | |
1350 | 1351 | Is there a truck in the image? | yes | COCO_val2014_000000025972 | adversarial | |
1351 | 1352 | Is there a person in the image? | no | COCO_val2014_000000025972 | adversarial | |
1352 | 1353 | Is there a couch in the image? | yes | COCO_val2014_000000025972 | adversarial | |
1353 | 1354 | Is there a tv in the image? | no | COCO_val2014_000000025972 | adversarial | |
1354 | 1355 | Is there a car in the image? | yes | COCO_val2014_000000025972 | adversarial | |
1355 | 1356 | Is there a bus in the image? | no | COCO_val2014_000000025972 | adversarial | |
1356 | 1357 | Is there a person in the image? | yes | COCO_val2014_000000505542 | adversarial | |
1357 | 1358 | Is there a dining table in the image? | no | COCO_val2014_000000505542 | adversarial | |
1358 | 1359 | Is there a train in the image? | yes | COCO_val2014_000000505542 | adversarial | |
1359 | 1360 | Is there a truck in the image? | no | COCO_val2014_000000505542 | adversarial | |
1360 | 1361 | Is there a car in the image? | yes | COCO_val2014_000000505542 | adversarial | |
1361 | 1362 | Is there a bus in the image? | no | COCO_val2014_000000505542 | adversarial | |
1362 | 1363 | Is there a person in the image? | yes | COCO_val2014_000000115636 | adversarial | |
1363 | 1364 | Is there a car in the image? | no | COCO_val2014_000000115636 | adversarial | |
1364 | 1365 | Is there a horse in the image? | yes | COCO_val2014_000000115636 | adversarial | |
1365 | 1366 | Is there a dog in the image? | no | COCO_val2014_000000115636 | adversarial | |
1366 | 1367 | Is there a cow in the image? | yes | COCO_val2014_000000115636 | adversarial | |
1367 | 1368 | Is there a bicycle in the image? | no | COCO_val2014_000000115636 | adversarial | |
1368 | 1369 | Is there a broccoli in the image? | yes | COCO_val2014_000000280810 | adversarial | |
1369 | 1370 | Is there a bowl in the image? | no | COCO_val2014_000000280810 | adversarial | |
1370 | 1371 | Is there a fork in the image? | yes | COCO_val2014_000000280810 | adversarial | |
1371 | 1372 | Is there a person in the image? | no | COCO_val2014_000000280810 | adversarial | |
1372 | 1373 | Is there a laptop in the image? | yes | COCO_val2014_000000280810 | adversarial | |
1373 | 1374 | Is there a tv in the image? | no | COCO_val2014_000000280810 | adversarial | |
1374 | 1375 | Is there a backpack in the image? | yes | COCO_val2014_000000037900 | adversarial | |
1375 | 1376 | Is there a person in the image? | no | COCO_val2014_000000037900 | adversarial | |
1376 | 1377 | Is there a handbag in the image? | yes | COCO_val2014_000000037900 | adversarial | |
1377 | 1378 | Is there a dining table in the image? | no | COCO_val2014_000000037900 | adversarial | |
1378 | 1379 | Is there a knife in the image? | yes | COCO_val2014_000000037900 | adversarial | |
1379 | 1380 | Is there a cup in the image? | no | COCO_val2014_000000037900 | adversarial | |
1380 | 1381 | Is there a traffic light in the image? | yes | COCO_val2014_000000534516 | adversarial | |
1381 | 1382 | Is there a car in the image? | no | COCO_val2014_000000534516 | adversarial | |
1382 | 1383 | Is there a person in the image? | yes | COCO_val2014_000000534516 | adversarial | |
1383 | 1384 | Is there a dining table in the image? | no | COCO_val2014_000000534516 | adversarial | |
1384 | 1385 | Is there a tie in the image? | yes | COCO_val2014_000000534516 | adversarial | |
1385 | 1386 | Is there a cup in the image? | no | COCO_val2014_000000534516 | adversarial | |
1386 | 1387 | Is there a bowl in the image? | yes | COCO_val2014_000000123017 | adversarial | |
1387 | 1388 | Is there a cup in the image? | no | COCO_val2014_000000123017 | adversarial | |
1388 | 1389 | Is there a dining table in the image? | yes | COCO_val2014_000000123017 | adversarial | |
1389 | 1390 | Is there a person in the image? | no | COCO_val2014_000000123017 | adversarial | |
1390 | 1391 | Is there a chair in the image? | yes | COCO_val2014_000000123017 | adversarial | |
1391 | 1392 | Is there a couch in the image? | no | COCO_val2014_000000123017 | adversarial | |
1392 | 1393 | Is there a person in the image? | yes | COCO_val2014_000000316237 | adversarial | |
1393 | 1394 | Is there a car in the image? | no | COCO_val2014_000000316237 | adversarial | |
1394 | 1395 | Is there a handbag in the image? | yes | COCO_val2014_000000316237 | adversarial | |
1395 | 1396 | Is there a backpack in the image? | no | COCO_val2014_000000316237 | adversarial | |
1396 | 1397 | Is there a cell phone in the image? | yes | COCO_val2014_000000316237 | adversarial | |
1397 | 1398 | Is there a dining table in the image? | no | COCO_val2014_000000316237 | adversarial | |
1398 | 1399 | Is there a backpack in the image? | yes | COCO_val2014_000000463522 | adversarial | |
1399 | 1400 | Is there a handbag in the image? | no | COCO_val2014_000000463522 | 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.