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 |
|---|---|---|---|---|---|---|
1700 | 1701 | Is there a fork in the image? | yes | COCO_val2014_000000108189 | adversarial | |
1701 | 1702 | Is there a person in the image? | no | COCO_val2014_000000108189 | adversarial | |
1702 | 1703 | Is there a dining table in the image? | yes | COCO_val2014_000000108189 | adversarial | |
1703 | 1704 | Is there a chair in the image? | no | COCO_val2014_000000108189 | adversarial | |
1704 | 1705 | Is there a tv in the image? | yes | COCO_val2014_000000301575 | adversarial | |
1705 | 1706 | Is there a dining table in the image? | no | COCO_val2014_000000301575 | adversarial | |
1706 | 1707 | Is there a person in the image? | yes | COCO_val2014_000000301575 | adversarial | |
1707 | 1708 | Is there a car in the image? | no | COCO_val2014_000000301575 | adversarial | |
1708 | 1709 | Is there a couch in the image? | yes | COCO_val2014_000000301575 | adversarial | |
1709 | 1710 | Is there a remote in the image? | no | COCO_val2014_000000301575 | adversarial | |
1710 | 1711 | Is there a baseball glove in the image? | yes | COCO_val2014_000000239773 | adversarial | |
1711 | 1712 | Is there a dog in the image? | no | COCO_val2014_000000239773 | adversarial | |
1712 | 1713 | Is there a person in the image? | yes | COCO_val2014_000000239773 | adversarial | |
1713 | 1714 | Is there a car in the image? | no | COCO_val2014_000000239773 | adversarial | |
1714 | 1715 | Is there a sports ball in the image? | yes | COCO_val2014_000000239773 | adversarial | |
1715 | 1716 | Is there a tennis racket in the image? | no | COCO_val2014_000000239773 | adversarial | |
1716 | 1717 | Is there a person in the image? | yes | COCO_val2014_000000354976 | adversarial | |
1717 | 1718 | Is there a car in the image? | no | COCO_val2014_000000354976 | adversarial | |
1718 | 1719 | Is there a clock in the image? | yes | COCO_val2014_000000354976 | adversarial | |
1719 | 1720 | Is there a couch in the image? | no | COCO_val2014_000000354976 | adversarial | |
1720 | 1721 | Is there a laptop in the image? | yes | COCO_val2014_000000354976 | adversarial | |
1721 | 1722 | Is there a keyboard in the image? | no | COCO_val2014_000000354976 | adversarial | |
1722 | 1723 | Is there a person in the image? | yes | COCO_val2014_000000473199 | adversarial | |
1723 | 1724 | Is there a car in the image? | no | COCO_val2014_000000473199 | adversarial | |
1724 | 1725 | Is there a handbag in the image? | yes | COCO_val2014_000000473199 | adversarial | |
1725 | 1726 | Is there a backpack in the image? | no | COCO_val2014_000000473199 | adversarial | |
1726 | 1727 | Is there a potted plant in the image? | yes | COCO_val2014_000000473199 | adversarial | |
1727 | 1728 | Is there a vase in the image? | no | COCO_val2014_000000473199 | adversarial | |
1728 | 1729 | Is there a backpack in the image? | yes | COCO_val2014_000000311759 | adversarial | |
1729 | 1730 | Is there a person in the image? | no | COCO_val2014_000000311759 | adversarial | |
1730 | 1731 | Is there a teddy bear in the image? | yes | COCO_val2014_000000311759 | adversarial | |
1731 | 1732 | Is there a bed in the image? | no | COCO_val2014_000000311759 | adversarial | |
1732 | 1733 | Is there a bear in the image? | yes | COCO_val2014_000000311759 | adversarial | |
1733 | 1734 | Is there a couch in the image? | no | COCO_val2014_000000311759 | adversarial | |
1734 | 1735 | Is there a dog in the image? | yes | COCO_val2014_000000431615 | adversarial | |
1735 | 1736 | Is there a car in the image? | no | COCO_val2014_000000431615 | adversarial | |
1736 | 1737 | Is there a person in the image? | yes | COCO_val2014_000000431615 | adversarial | |
1737 | 1738 | Is there a dining table in the image? | no | COCO_val2014_000000431615 | adversarial | |
1738 | 1739 | Is there a boat in the image? | yes | COCO_val2014_000000431615 | adversarial | |
1739 | 1740 | Is there a bird in the image? | no | COCO_val2014_000000431615 | adversarial | |
1740 | 1741 | Is there a car in the image? | yes | COCO_val2014_000000343401 | adversarial | |
1741 | 1742 | Is there a truck in the image? | no | COCO_val2014_000000343401 | adversarial | |
1742 | 1743 | Is there a dog in the image? | yes | COCO_val2014_000000343401 | adversarial | |
1743 | 1744 | Is there a frisbee in the image? | no | COCO_val2014_000000343401 | adversarial | |
1744 | 1745 | Is there a person in the image? | yes | COCO_val2014_000000343401 | adversarial | |
1745 | 1746 | Is there a dining table in the image? | no | COCO_val2014_000000343401 | adversarial | |
1746 | 1747 | Is there a banana in the image? | yes | COCO_val2014_000000246199 | adversarial | |
1747 | 1748 | Is there a bowl in the image? | no | COCO_val2014_000000246199 | adversarial | |
1748 | 1749 | Is there an orange in the imange? | yes | COCO_val2014_000000246199 | adversarial | |
1749 | 1750 | Is there a person in the image? | no | COCO_val2014_000000246199 | adversarial | |
1750 | 1751 | Is there a dining table in the image? | yes | COCO_val2014_000000246199 | adversarial | |
1751 | 1752 | Is there a cup in the image? | no | COCO_val2014_000000246199 | adversarial | |
1752 | 1753 | Is there a bird in the image? | yes | COCO_val2014_000000372009 | adversarial | |
1753 | 1754 | Is there a person in the image? | no | COCO_val2014_000000372009 | adversarial | |
1754 | 1755 | Is there a bed in the image? | yes | COCO_val2014_000000372009 | adversarial | |
1755 | 1756 | Is there a book in the image? | no | COCO_val2014_000000372009 | adversarial | |
1756 | 1757 | Is there a teddy bear in the image? | yes | COCO_val2014_000000372009 | adversarial | |
1757 | 1758 | Is there a bear in the image? | no | COCO_val2014_000000372009 | adversarial | |
1758 | 1759 | Is there a banana in the image? | yes | COCO_val2014_000000346707 | adversarial | |
1759 | 1760 | Is there a dining table in the image? | no | COCO_val2014_000000346707 | adversarial | |
1760 | 1761 | Is there a bowl in the image? | yes | COCO_val2014_000000346707 | adversarial | |
1761 | 1762 | Is there a cup in the image? | no | COCO_val2014_000000346707 | adversarial | |
1762 | 1763 | Is there a person in the image? | yes | COCO_val2014_000000346707 | adversarial | |
1763 | 1764 | Is there a car in the image? | no | COCO_val2014_000000346707 | adversarial | |
1764 | 1765 | Is there a person in the image? | yes | COCO_val2014_000000501898 | adversarial | |
1765 | 1766 | Is there a car in the image? | no | COCO_val2014_000000501898 | adversarial | |
1766 | 1767 | Is there a sports ball in the image? | yes | COCO_val2014_000000501898 | adversarial | |
1767 | 1768 | Is there a baseball glove in the image? | no | COCO_val2014_000000501898 | adversarial | |
1768 | 1769 | Is there a tennis racket in the image? | yes | COCO_val2014_000000501898 | adversarial | |
1769 | 1770 | Is there a chair in the image? | no | COCO_val2014_000000501898 | adversarial | |
1770 | 1771 | Is there a person in the image? | yes | COCO_val2014_000000281766 | adversarial | |
1771 | 1772 | Is there a car in the image? | no | COCO_val2014_000000281766 | adversarial | |
1772 | 1773 | Is there a bicycle in the image? | yes | COCO_val2014_000000281766 | adversarial | |
1773 | 1774 | Is there a motorcycle in the image? | no | COCO_val2014_000000281766 | adversarial | |
1774 | 1775 | Is there a handbag in the image? | yes | COCO_val2014_000000281766 | adversarial | |
1775 | 1776 | Is there a backpack in the image? | no | COCO_val2014_000000281766 | adversarial | |
1776 | 1777 | Is there a truck in the image? | yes | COCO_val2014_000000245448 | adversarial | |
1777 | 1778 | Is there a car in the image? | no | COCO_val2014_000000245448 | adversarial | |
1778 | 1779 | Is there a person in the image? | yes | COCO_val2014_000000245448 | adversarial | |
1779 | 1780 | Is there a dining table in the image? | no | COCO_val2014_000000245448 | adversarial | |
1780 | 1781 | Is there a motorcycle in the image? | yes | COCO_val2014_000000245448 | adversarial | |
1781 | 1782 | Is there a bicycle in the image? | no | COCO_val2014_000000245448 | adversarial | |
1782 | 1783 | Is there a person in the image? | yes | COCO_val2014_000000510138 | adversarial | |
1783 | 1784 | Is there a car in the image? | no | COCO_val2014_000000510138 | adversarial | |
1784 | 1785 | Is there a wine glass in the image? | yes | COCO_val2014_000000510138 | adversarial | |
1785 | 1786 | Is there a cup in the image? | no | COCO_val2014_000000510138 | adversarial | |
1786 | 1787 | Is there a couch in the image? | yes | COCO_val2014_000000510138 | adversarial | |
1787 | 1788 | Is there a chair in the image? | no | COCO_val2014_000000510138 | adversarial | |
1788 | 1789 | Is there a truck in the image? | yes | COCO_val2014_000000001171 | adversarial | |
1789 | 1790 | Is there a person in the image? | no | COCO_val2014_000000001171 | adversarial | |
1790 | 1791 | Is there a train in the image? | yes | COCO_val2014_000000001171 | adversarial | |
1791 | 1792 | Is there a traffic light in the image? | no | COCO_val2014_000000001171 | adversarial | |
1792 | 1793 | Is there a car in the image? | yes | COCO_val2014_000000001171 | adversarial | |
1793 | 1794 | Is there a bus in the image? | no | COCO_val2014_000000001171 | adversarial | |
1794 | 1795 | Is there a person in the image? | yes | COCO_val2014_000000100238 | adversarial | |
1795 | 1796 | Is there a car in the image? | no | COCO_val2014_000000100238 | adversarial | |
1796 | 1797 | Is there a bottle in the image? | yes | COCO_val2014_000000100238 | adversarial | |
1797 | 1798 | Is there a dining table in the image? | no | COCO_val2014_000000100238 | adversarial | |
1798 | 1799 | Is there a frisbee in the image? | yes | COCO_val2014_000000100238 | adversarial | |
1799 | 1800 | Is there a dog in the image? | no | COCO_val2014_000000100238 | 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.