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 |
|---|---|---|---|---|---|---|
1600 | 1601 | Is there a bench in the image? | yes | COCO_val2014_000000309371 | adversarial | |
1601 | 1602 | Is there a dining table in the image? | no | COCO_val2014_000000309371 | adversarial | |
1602 | 1603 | Is there a bird in the image? | yes | COCO_val2014_000000472143 | adversarial | |
1603 | 1604 | Is there a boat in the image? | no | COCO_val2014_000000472143 | adversarial | |
1604 | 1605 | Is there a person in the image? | yes | COCO_val2014_000000472143 | adversarial | |
1605 | 1606 | Is there a cup in the image? | no | COCO_val2014_000000472143 | adversarial | |
1606 | 1607 | Is there a dining table in the image? | yes | COCO_val2014_000000472143 | adversarial | |
1607 | 1608 | Is there a bottle in the image? | no | COCO_val2014_000000472143 | adversarial | |
1608 | 1609 | Is there a person in the image? | yes | COCO_val2014_000000236023 | adversarial | |
1609 | 1610 | Is there a car in the image? | no | COCO_val2014_000000236023 | adversarial | |
1610 | 1611 | Is there a clock in the image? | yes | COCO_val2014_000000236023 | adversarial | |
1611 | 1612 | Is there a chair in the image? | no | COCO_val2014_000000236023 | adversarial | |
1612 | 1613 | Is there a bottle in the image? | yes | COCO_val2014_000000236023 | adversarial | |
1613 | 1614 | Is there a dining table in the image? | no | COCO_val2014_000000236023 | adversarial | |
1614 | 1615 | Is there a snowboard in the image? | yes | COCO_val2014_000000214244 | adversarial | |
1615 | 1616 | Is there a backpack in the image? | no | COCO_val2014_000000214244 | adversarial | |
1616 | 1617 | Is there a person in the image? | yes | COCO_val2014_000000214244 | adversarial | |
1617 | 1618 | Is there a car in the image? | no | COCO_val2014_000000214244 | adversarial | |
1618 | 1619 | Is there a skis in the image? | yes | COCO_val2014_000000214244 | adversarial | |
1619 | 1620 | Is there a dog in the image? | no | COCO_val2014_000000214244 | adversarial | |
1620 | 1621 | Is there a motorcycle in the image? | yes | COCO_val2014_000000397665 | adversarial | |
1621 | 1622 | Is there a truck in the image? | no | COCO_val2014_000000397665 | adversarial | |
1622 | 1623 | Is there a person in the image? | yes | COCO_val2014_000000397665 | adversarial | |
1623 | 1624 | Is there a dining table in the image? | no | COCO_val2014_000000397665 | adversarial | |
1624 | 1625 | Is there a handbag in the image? | yes | COCO_val2014_000000397665 | adversarial | |
1625 | 1626 | Is there a backpack in the image? | no | COCO_val2014_000000397665 | adversarial | |
1626 | 1627 | Is there a bowl in the image? | yes | COCO_val2014_000000183965 | adversarial | |
1627 | 1628 | Is there a person in the image? | no | COCO_val2014_000000183965 | adversarial | |
1628 | 1629 | Is there a sandwich in the image? | yes | COCO_val2014_000000183965 | adversarial | |
1629 | 1630 | Is there a fork in the image? | no | COCO_val2014_000000183965 | adversarial | |
1630 | 1631 | Is there a hot dog in the image? | yes | COCO_val2014_000000183965 | adversarial | |
1631 | 1632 | Is there a chair in the image? | no | COCO_val2014_000000183965 | adversarial | |
1632 | 1633 | Is there a person in the image? | yes | COCO_val2014_000000499105 | adversarial | |
1633 | 1634 | Is there a car in the image? | no | COCO_val2014_000000499105 | adversarial | |
1634 | 1635 | Is there a sports ball in the image? | yes | COCO_val2014_000000499105 | adversarial | |
1635 | 1636 | Is there a baseball glove in the image? | no | COCO_val2014_000000499105 | adversarial | |
1636 | 1637 | Is there a tennis racket in the image? | yes | COCO_val2014_000000499105 | adversarial | |
1637 | 1638 | Is there a chair in the image? | no | COCO_val2014_000000499105 | adversarial | |
1638 | 1639 | Is there a baseball glove in the image? | yes | COCO_val2014_000000259755 | adversarial | |
1639 | 1640 | Is there a baseball bat in the image? | no | COCO_val2014_000000259755 | adversarial | |
1640 | 1641 | Is there a person in the image? | yes | COCO_val2014_000000259755 | adversarial | |
1641 | 1642 | Is there a car in the image? | no | COCO_val2014_000000259755 | adversarial | |
1642 | 1643 | Is there a sports ball in the image? | yes | COCO_val2014_000000259755 | adversarial | |
1643 | 1644 | Is there a tennis racket in the image? | no | COCO_val2014_000000259755 | adversarial | |
1644 | 1645 | Is there a chair in the image? | yes | COCO_val2014_000000281028 | adversarial | |
1645 | 1646 | Is there a dining table in the image? | no | COCO_val2014_000000281028 | adversarial | |
1646 | 1647 | Is there a person in the image? | yes | COCO_val2014_000000281028 | adversarial | |
1647 | 1648 | Is there a handbag in the image? | no | COCO_val2014_000000281028 | adversarial | |
1648 | 1649 | Is there a train in the image? | yes | COCO_val2014_000000281028 | adversarial | |
1649 | 1650 | Is there a truck in the image? | no | COCO_val2014_000000281028 | adversarial | |
1650 | 1651 | Is there a baseball glove in the image? | yes | COCO_val2014_000000199122 | adversarial | |
1651 | 1652 | Is there a dog in the image? | no | COCO_val2014_000000199122 | adversarial | |
1652 | 1653 | Is there a person in the image? | yes | COCO_val2014_000000199122 | adversarial | |
1653 | 1654 | Is there a car in the image? | no | COCO_val2014_000000199122 | adversarial | |
1654 | 1655 | Is there a sports ball in the image? | yes | COCO_val2014_000000199122 | adversarial | |
1655 | 1656 | Is there a tennis racket in the image? | no | COCO_val2014_000000199122 | adversarial | |
1656 | 1657 | Is there a bottle in the image? | yes | COCO_val2014_000000442809 | adversarial | |
1657 | 1658 | Is there a person in the image? | no | COCO_val2014_000000442809 | adversarial | |
1658 | 1659 | Is there a cake in the image? | yes | COCO_val2014_000000442809 | adversarial | |
1659 | 1660 | Is there a dining table in the image? | no | COCO_val2014_000000442809 | adversarial | |
1660 | 1661 | Is there a cup in the image? | yes | COCO_val2014_000000442809 | adversarial | |
1661 | 1662 | Is there a bowl in the image? | no | COCO_val2014_000000442809 | adversarial | |
1662 | 1663 | Is there a person in the image? | yes | COCO_val2014_000000482829 | adversarial | |
1663 | 1664 | Is there a car in the image? | no | COCO_val2014_000000482829 | adversarial | |
1664 | 1665 | Is there a sports ball in the image? | yes | COCO_val2014_000000482829 | adversarial | |
1665 | 1666 | Is there a baseball glove in the image? | no | COCO_val2014_000000482829 | adversarial | |
1666 | 1667 | Is there a tennis racket in the image? | yes | COCO_val2014_000000482829 | adversarial | |
1667 | 1668 | Is there a chair in the image? | no | COCO_val2014_000000482829 | adversarial | |
1668 | 1669 | Is there a clock in the image? | yes | COCO_val2014_000000097994 | adversarial | |
1669 | 1670 | Is there a person in the image? | no | COCO_val2014_000000097994 | adversarial | |
1670 | 1671 | Is there a laptop in the image? | yes | COCO_val2014_000000097994 | adversarial | |
1671 | 1672 | Is there a chair in the image? | no | COCO_val2014_000000097994 | adversarial | |
1672 | 1673 | Is there a dining table in the image? | yes | COCO_val2014_000000097994 | adversarial | |
1673 | 1674 | Is there a bowl in the image? | no | COCO_val2014_000000097994 | adversarial | |
1674 | 1675 | Is there a tv in the image? | yes | COCO_val2014_000000246999 | adversarial | |
1675 | 1676 | Is there a person in the image? | no | COCO_val2014_000000246999 | adversarial | |
1676 | 1677 | Is there a clock in the image? | yes | COCO_val2014_000000246999 | adversarial | |
1677 | 1678 | Is there a dining table in the image? | no | COCO_val2014_000000246999 | adversarial | |
1678 | 1679 | Is there a couch in the image? | yes | COCO_val2014_000000246999 | adversarial | |
1679 | 1680 | Is there a book in the image? | no | COCO_val2014_000000246999 | adversarial | |
1680 | 1681 | Is there a snowboard in the image? | yes | COCO_val2014_000000338291 | adversarial | |
1681 | 1682 | Is there a skis in the image? | no | COCO_val2014_000000338291 | adversarial | |
1682 | 1683 | Is there a backpack in the image? | yes | COCO_val2014_000000338291 | adversarial | |
1683 | 1684 | Is there a handbag in the image? | no | COCO_val2014_000000338291 | adversarial | |
1684 | 1685 | Is there a person in the image? | yes | COCO_val2014_000000338291 | adversarial | |
1685 | 1686 | Is there a car in the image? | no | COCO_val2014_000000338291 | adversarial | |
1686 | 1687 | Is there a truck in the image? | yes | COCO_val2014_000000331366 | adversarial | |
1687 | 1688 | Is there a traffic light in the image? | no | COCO_val2014_000000331366 | adversarial | |
1688 | 1689 | Is there a person in the image? | yes | COCO_val2014_000000331366 | adversarial | |
1689 | 1690 | Is there a dining table in the image? | no | COCO_val2014_000000331366 | adversarial | |
1690 | 1691 | Is there a bicycle in the image? | yes | COCO_val2014_000000331366 | adversarial | |
1691 | 1692 | Is there a motorcycle in the image? | no | COCO_val2014_000000331366 | adversarial | |
1692 | 1693 | Is there a snowboard in the image? | yes | COCO_val2014_000000348524 | adversarial | |
1693 | 1694 | Is there a backpack in the image? | no | COCO_val2014_000000348524 | adversarial | |
1694 | 1695 | Is there a person in the image? | yes | COCO_val2014_000000348524 | adversarial | |
1695 | 1696 | Is there a car in the image? | no | COCO_val2014_000000348524 | adversarial | |
1696 | 1697 | Is there a skis in the image? | yes | COCO_val2014_000000348524 | adversarial | |
1697 | 1698 | Is there a dog in the image? | no | COCO_val2014_000000348524 | adversarial | |
1698 | 1699 | Is there a sandwich in the image? | yes | COCO_val2014_000000108189 | adversarial | |
1699 | 1700 | Is there a bowl in the image? | no | COCO_val2014_000000108189 | 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.