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 |
|---|---|---|---|---|---|---|
1500 | 1501 | Is there a spoon in the image? | yes | COCO_val2014_000000384040 | adversarial | |
1501 | 1502 | Is there a bowl in the image? | no | COCO_val2014_000000384040 | adversarial | |
1502 | 1503 | Is there a dining table in the image? | yes | COCO_val2014_000000384040 | adversarial | |
1503 | 1504 | Is there a person in the image? | no | COCO_val2014_000000384040 | adversarial | |
1504 | 1505 | Is there a knife in the image? | yes | COCO_val2014_000000384040 | adversarial | |
1505 | 1506 | Is there a cake in the image? | no | COCO_val2014_000000384040 | adversarial | |
1506 | 1507 | Is there a clock in the image? | yes | COCO_val2014_000000023731 | adversarial | |
1507 | 1508 | Is there a person in the image? | no | COCO_val2014_000000023731 | adversarial | |
1508 | 1509 | Is there a dining table in the image? | yes | COCO_val2014_000000023731 | adversarial | |
1509 | 1510 | Is there a cup in the image? | no | COCO_val2014_000000023731 | adversarial | |
1510 | 1511 | Is there a chair in the image? | yes | COCO_val2014_000000023731 | adversarial | |
1511 | 1512 | Is there a couch in the image? | no | COCO_val2014_000000023731 | adversarial | |
1512 | 1513 | Is there a person in the image? | yes | COCO_val2014_000000463640 | adversarial | |
1513 | 1514 | Is there a car in the image? | no | COCO_val2014_000000463640 | adversarial | |
1514 | 1515 | Is there a wine glass in the image? | yes | COCO_val2014_000000463640 | adversarial | |
1515 | 1516 | Is there a cup in the image? | no | COCO_val2014_000000463640 | adversarial | |
1516 | 1517 | Is there a dining table in the image? | yes | COCO_val2014_000000463640 | adversarial | |
1517 | 1518 | Is there a chair in the image? | no | COCO_val2014_000000463640 | adversarial | |
1518 | 1519 | Is there a potted plant in the image? | yes | COCO_val2014_000000365822 | adversarial | |
1519 | 1520 | Is there a person in the image? | no | COCO_val2014_000000365822 | adversarial | |
1520 | 1521 | Is there a bottle in the image? | yes | COCO_val2014_000000365822 | adversarial | |
1521 | 1522 | Is there a dining table in the image? | no | COCO_val2014_000000365822 | adversarial | |
1522 | 1523 | Is there a chair in the image? | yes | COCO_val2014_000000365822 | adversarial | |
1523 | 1524 | Is there a couch in the image? | no | COCO_val2014_000000365822 | adversarial | |
1524 | 1525 | Is there a baseball glove in the image? | yes | COCO_val2014_000000524979 | adversarial | |
1525 | 1526 | Is there a baseball bat in the image? | no | COCO_val2014_000000524979 | adversarial | |
1526 | 1527 | Is there a person in the image? | yes | COCO_val2014_000000524979 | adversarial | |
1527 | 1528 | Is there a car in the image? | no | COCO_val2014_000000524979 | adversarial | |
1528 | 1529 | Is there a sports ball in the image? | yes | COCO_val2014_000000524979 | adversarial | |
1529 | 1530 | Is there a tennis racket in the image? | no | COCO_val2014_000000524979 | adversarial | |
1530 | 1531 | Is there a handbag in the image? | yes | COCO_val2014_000000070813 | adversarial | |
1531 | 1532 | Is there a person in the image? | no | COCO_val2014_000000070813 | adversarial | |
1532 | 1533 | Is there a bed in the image? | yes | COCO_val2014_000000070813 | adversarial | |
1533 | 1534 | Is there a book in the image? | no | COCO_val2014_000000070813 | adversarial | |
1534 | 1535 | Is there a bottle in the image? | yes | COCO_val2014_000000070813 | adversarial | |
1535 | 1536 | Is there a cup in the image? | no | COCO_val2014_000000070813 | adversarial | |
1536 | 1537 | Is there a sandwich in the image? | yes | COCO_val2014_000000318209 | adversarial | |
1537 | 1538 | Is there a cup in the image? | no | COCO_val2014_000000318209 | adversarial | |
1538 | 1539 | Is there a fork in the image? | yes | COCO_val2014_000000318209 | adversarial | |
1539 | 1540 | Is there a person in the image? | no | COCO_val2014_000000318209 | adversarial | |
1540 | 1541 | Is there a dining table in the image? | yes | COCO_val2014_000000318209 | adversarial | |
1541 | 1542 | Is there a chair in the image? | no | COCO_val2014_000000318209 | adversarial | |
1542 | 1543 | Is there a bird in the image? | yes | COCO_val2014_000000016775 | adversarial | |
1543 | 1544 | Is there a car in the image? | no | COCO_val2014_000000016775 | adversarial | |
1544 | 1545 | Is there a truck in the image? | yes | COCO_val2014_000000016775 | adversarial | |
1545 | 1546 | Is there a traffic light in the image? | no | COCO_val2014_000000016775 | adversarial | |
1546 | 1547 | Is there a person in the image? | yes | COCO_val2014_000000016775 | adversarial | |
1547 | 1548 | Is there a dining table in the image? | no | COCO_val2014_000000016775 | adversarial | |
1548 | 1549 | Is there a truck in the image? | yes | COCO_val2014_000000015338 | adversarial | |
1549 | 1550 | Is there a traffic light in the image? | no | COCO_val2014_000000015338 | adversarial | |
1550 | 1551 | Is there a person in the image? | yes | COCO_val2014_000000015338 | adversarial | |
1551 | 1552 | Is there a dining table in the image? | no | COCO_val2014_000000015338 | adversarial | |
1552 | 1553 | Is there a sports ball in the image? | yes | COCO_val2014_000000015338 | adversarial | |
1553 | 1554 | Is there a tennis racket in the image? | no | COCO_val2014_000000015338 | adversarial | |
1554 | 1555 | Is there a backpack in the image? | yes | COCO_val2014_000000441156 | adversarial | |
1555 | 1556 | Is there a skis in the image? | no | COCO_val2014_000000441156 | adversarial | |
1556 | 1557 | Is there a person in the image? | yes | COCO_val2014_000000441156 | adversarial | |
1557 | 1558 | Is there a car in the image? | no | COCO_val2014_000000441156 | adversarial | |
1558 | 1559 | Is there an elephant in the imange? | yes | COCO_val2014_000000441156 | adversarial | |
1559 | 1560 | Is there a dining table in the image? | no | COCO_val2014_000000441156 | adversarial | |
1560 | 1561 | Is there a person in the image? | yes | COCO_val2014_000000408757 | adversarial | |
1561 | 1562 | Is there a car in the image? | no | COCO_val2014_000000408757 | adversarial | |
1562 | 1563 | Is there a kite in the image? | yes | COCO_val2014_000000408757 | adversarial | |
1563 | 1564 | Is there a surfboard in the image? | no | COCO_val2014_000000408757 | adversarial | |
1564 | 1565 | Is there an umbrella in the imange? | yes | COCO_val2014_000000408757 | adversarial | |
1565 | 1566 | Is there a handbag in the image? | no | COCO_val2014_000000408757 | adversarial | |
1566 | 1567 | Is there a person in the image? | yes | COCO_val2014_000000550691 | adversarial | |
1567 | 1568 | Is there a dining table in the image? | no | COCO_val2014_000000550691 | adversarial | |
1568 | 1569 | Is there a car in the image? | yes | COCO_val2014_000000550691 | adversarial | |
1569 | 1570 | Is there a truck in the image? | no | COCO_val2014_000000550691 | adversarial | |
1570 | 1571 | Is there a bus in the image? | yes | COCO_val2014_000000550691 | adversarial | |
1571 | 1572 | Is there a traffic light in the image? | no | COCO_val2014_000000550691 | adversarial | |
1572 | 1573 | Is there a banana in the image? | yes | COCO_val2014_000000204100 | adversarial | |
1573 | 1574 | Is there a dining table in the image? | no | COCO_val2014_000000204100 | adversarial | |
1574 | 1575 | Is there a person in the image? | yes | COCO_val2014_000000204100 | adversarial | |
1575 | 1576 | Is there a car in the image? | no | COCO_val2014_000000204100 | adversarial | |
1576 | 1577 | Is there a bowl in the image? | yes | COCO_val2014_000000204100 | adversarial | |
1577 | 1578 | Is there a cup in the image? | no | COCO_val2014_000000204100 | adversarial | |
1578 | 1579 | Is there a person in the image? | yes | COCO_val2014_000000468169 | adversarial | |
1579 | 1580 | Is there a car in the image? | no | COCO_val2014_000000468169 | adversarial | |
1580 | 1581 | Is there a bench in the image? | yes | COCO_val2014_000000468169 | adversarial | |
1581 | 1582 | Is there a dining table in the image? | no | COCO_val2014_000000468169 | adversarial | |
1582 | 1583 | Is there a sports ball in the image? | yes | COCO_val2014_000000468169 | adversarial | |
1583 | 1584 | Is there a tennis racket in the image? | no | COCO_val2014_000000468169 | adversarial | |
1584 | 1585 | Is there a bowl in the image? | yes | COCO_val2014_000000198312 | adversarial | |
1585 | 1586 | Is there a cup in the image? | no | COCO_val2014_000000198312 | adversarial | |
1586 | 1587 | Is there a couch in the image? | yes | COCO_val2014_000000198312 | adversarial | |
1587 | 1588 | Is there a person in the image? | no | COCO_val2014_000000198312 | adversarial | |
1588 | 1589 | Is there a potted plant in the image? | yes | COCO_val2014_000000198312 | adversarial | |
1589 | 1590 | Is there a tv in the image? | no | COCO_val2014_000000198312 | adversarial | |
1590 | 1591 | Is there a person in the image? | yes | COCO_val2014_000000485485 | adversarial | |
1591 | 1592 | Is there a dining table in the image? | no | COCO_val2014_000000485485 | adversarial | |
1592 | 1593 | Is there a car in the image? | yes | COCO_val2014_000000485485 | adversarial | |
1593 | 1594 | Is there a truck in the image? | no | COCO_val2014_000000485485 | adversarial | |
1594 | 1595 | Is there an elephant in the imange? | yes | COCO_val2014_000000485485 | adversarial | |
1595 | 1596 | Is there a chair in the image? | no | COCO_val2014_000000485485 | adversarial | |
1596 | 1597 | Is there a backpack in the image? | yes | COCO_val2014_000000309371 | adversarial | |
1597 | 1598 | Is there a handbag in the image? | no | COCO_val2014_000000309371 | adversarial | |
1598 | 1599 | Is there a person in the image? | yes | COCO_val2014_000000309371 | adversarial | |
1599 | 1600 | Is there a car in the image? | no | COCO_val2014_000000309371 | 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.