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 |
|---|---|---|---|---|---|---|
2000 | 2001 | Is there a person in the image? | yes | COCO_val2014_000000308907 | adversarial | |
2001 | 2002 | Is there a dining table in the image? | no | COCO_val2014_000000308907 | adversarial | |
2002 | 2003 | Is there a bicycle in the image? | yes | COCO_val2014_000000308907 | adversarial | |
2003 | 2004 | Is there a motorcycle in the image? | no | COCO_val2014_000000308907 | adversarial | |
2004 | 2005 | Is there a bird in the image? | yes | COCO_val2014_000000263594 | adversarial | |
2005 | 2006 | Is there a person in the image? | no | COCO_val2014_000000263594 | adversarial | |
2006 | 2007 | Is there a truck in the image? | yes | COCO_val2014_000000263594 | adversarial | |
2007 | 2008 | Is there a traffic light in the image? | no | COCO_val2014_000000263594 | adversarial | |
2008 | 2009 | Is there a car in the image? | yes | COCO_val2014_000000263594 | adversarial | |
2009 | 2010 | Is there a bus in the image? | no | COCO_val2014_000000263594 | adversarial | |
2010 | 2011 | Is there a tv in the image? | yes | COCO_val2014_000000501294 | adversarial | |
2011 | 2012 | Is there a dining table in the image? | no | COCO_val2014_000000501294 | adversarial | |
2012 | 2013 | Is there a person in the image? | yes | COCO_val2014_000000501294 | adversarial | |
2013 | 2014 | Is there a car in the image? | no | COCO_val2014_000000501294 | adversarial | |
2014 | 2015 | Is there a couch in the image? | yes | COCO_val2014_000000501294 | adversarial | |
2015 | 2016 | Is there a chair in the image? | no | COCO_val2014_000000501294 | adversarial | |
2016 | 2017 | Is there a person in the image? | yes | COCO_val2014_000000500680 | adversarial | |
2017 | 2018 | Is there a car in the image? | no | COCO_val2014_000000500680 | adversarial | |
2018 | 2019 | Is there a handbag in the image? | yes | COCO_val2014_000000500680 | adversarial | |
2019 | 2020 | Is there a backpack in the image? | no | COCO_val2014_000000500680 | adversarial | |
2020 | 2021 | Is there a dining table in the image? | yes | COCO_val2014_000000500680 | adversarial | |
2021 | 2022 | Is there a cup in the image? | no | COCO_val2014_000000500680 | adversarial | |
2022 | 2023 | Is there a truck in the image? | yes | COCO_val2014_000000091954 | adversarial | |
2023 | 2024 | Is there a person in the image? | no | COCO_val2014_000000091954 | adversarial | |
2024 | 2025 | Is there a train in the image? | yes | COCO_val2014_000000091954 | adversarial | |
2025 | 2026 | Is there a traffic light in the image? | no | COCO_val2014_000000091954 | adversarial | |
2026 | 2027 | Is there a car in the image? | yes | COCO_val2014_000000091954 | adversarial | |
2027 | 2028 | Is there a bus in the image? | no | COCO_val2014_000000091954 | adversarial | |
2028 | 2029 | Is there a book in the image? | yes | COCO_val2014_000000454607 | adversarial | |
2029 | 2030 | Is there a tv in the image? | no | COCO_val2014_000000454607 | adversarial | |
2030 | 2031 | Is there a person in the image? | yes | COCO_val2014_000000454607 | adversarial | |
2031 | 2032 | Is there a car in the image? | no | COCO_val2014_000000454607 | adversarial | |
2032 | 2033 | Is there a cell phone in the image? | yes | COCO_val2014_000000454607 | adversarial | |
2033 | 2034 | Is there a dining table in the image? | no | COCO_val2014_000000454607 | adversarial | |
2034 | 2035 | Is there a baseball glove in the image? | yes | COCO_val2014_000000363908 | adversarial | |
2035 | 2036 | Is there a dog in the image? | no | COCO_val2014_000000363908 | adversarial | |
2036 | 2037 | Is there a person in the image? | yes | COCO_val2014_000000363908 | adversarial | |
2037 | 2038 | Is there a car in the image? | no | COCO_val2014_000000363908 | adversarial | |
2038 | 2039 | Is there a sports ball in the image? | yes | COCO_val2014_000000363908 | adversarial | |
2039 | 2040 | Is there a tennis racket in the image? | no | COCO_val2014_000000363908 | adversarial | |
2040 | 2041 | Is there a person in the image? | yes | COCO_val2014_000000560064 | adversarial | |
2041 | 2042 | Is there a car in the image? | no | COCO_val2014_000000560064 | adversarial | |
2042 | 2043 | Is there a bench in the image? | yes | COCO_val2014_000000560064 | adversarial | |
2043 | 2044 | Is there a dining table in the image? | no | COCO_val2014_000000560064 | adversarial | |
2044 | 2045 | Is there a potted plant in the image? | yes | COCO_val2014_000000560064 | adversarial | |
2045 | 2046 | Is there a vase in the image? | no | COCO_val2014_000000560064 | adversarial | |
2046 | 2047 | Is there a bird in the image? | yes | COCO_val2014_000000348469 | adversarial | |
2047 | 2048 | Is there a handbag in the image? | no | COCO_val2014_000000348469 | adversarial | |
2048 | 2049 | Is there a person in the image? | yes | COCO_val2014_000000348469 | adversarial | |
2049 | 2050 | Is there a car in the image? | no | COCO_val2014_000000348469 | adversarial | |
2050 | 2051 | Is there a baseball bat in the image? | yes | COCO_val2014_000000348469 | adversarial | |
2051 | 2052 | Is there a sports ball in the image? | no | COCO_val2014_000000348469 | adversarial | |
2052 | 2053 | Is there an oven in the imange? | yes | COCO_val2014_000000167724 | adversarial | |
2053 | 2054 | Is there a bowl in the image? | no | COCO_val2014_000000167724 | adversarial | |
2054 | 2055 | Is there a spoon in the image? | yes | COCO_val2014_000000167724 | adversarial | |
2055 | 2056 | Is there a cup in the image? | no | COCO_val2014_000000167724 | adversarial | |
2056 | 2057 | Is there a bottle in the image? | yes | COCO_val2014_000000167724 | adversarial | |
2057 | 2058 | Is there a dining table in the image? | no | COCO_val2014_000000167724 | adversarial | |
2058 | 2059 | Is there a dog in the image? | yes | COCO_val2014_000000262736 | adversarial | |
2059 | 2060 | Is there a person in the image? | no | COCO_val2014_000000262736 | adversarial | |
2060 | 2061 | Is there a truck in the image? | yes | COCO_val2014_000000262736 | adversarial | |
2061 | 2062 | Is there a traffic light in the image? | no | COCO_val2014_000000262736 | adversarial | |
2062 | 2063 | Is there a car in the image? | yes | COCO_val2014_000000262736 | adversarial | |
2063 | 2064 | Is there a bus in the image? | no | COCO_val2014_000000262736 | adversarial | |
2064 | 2065 | Is there a person in the image? | yes | COCO_val2014_000000076416 | adversarial | |
2065 | 2066 | Is there a car in the image? | no | COCO_val2014_000000076416 | adversarial | |
2066 | 2067 | Is there a bicycle in the image? | yes | COCO_val2014_000000076416 | adversarial | |
2067 | 2068 | Is there a motorcycle in the image? | no | COCO_val2014_000000076416 | adversarial | |
2068 | 2069 | Is there a cell phone in the image? | yes | COCO_val2014_000000076416 | adversarial | |
2069 | 2070 | Is there a dining table in the image? | no | COCO_val2014_000000076416 | adversarial | |
2070 | 2071 | Is there a backpack in the image? | yes | COCO_val2014_000000541783 | adversarial | |
2071 | 2072 | Is there a handbag in the image? | no | COCO_val2014_000000541783 | adversarial | |
2072 | 2073 | Is there a person in the image? | yes | COCO_val2014_000000541783 | adversarial | |
2073 | 2074 | Is there a car in the image? | no | COCO_val2014_000000541783 | adversarial | |
2074 | 2075 | Is there a motorcycle in the image? | yes | COCO_val2014_000000541783 | adversarial | |
2075 | 2076 | Is there a bicycle in the image? | no | COCO_val2014_000000541783 | adversarial | |
2076 | 2077 | Is there a bowl in the image? | yes | COCO_val2014_000000445200 | adversarial | |
2077 | 2078 | Is there a person in the image? | no | COCO_val2014_000000445200 | adversarial | |
2078 | 2079 | Is there a broccoli in the image? | yes | COCO_val2014_000000445200 | adversarial | |
2079 | 2080 | Is there a fork in the image? | no | COCO_val2014_000000445200 | adversarial | |
2080 | 2081 | Is there a dining table in the image? | yes | COCO_val2014_000000445200 | adversarial | |
2081 | 2082 | Is there a chair in the image? | no | COCO_val2014_000000445200 | adversarial | |
2082 | 2083 | Is there a person in the image? | yes | COCO_val2014_000000433574 | adversarial | |
2083 | 2084 | Is there a car in the image? | no | COCO_val2014_000000433574 | adversarial | |
2084 | 2085 | Is there a couch in the image? | yes | COCO_val2014_000000433574 | adversarial | |
2085 | 2086 | Is there a tv in the image? | no | COCO_val2014_000000433574 | adversarial | |
2086 | 2087 | Is there a dining table in the image? | yes | COCO_val2014_000000433574 | adversarial | |
2087 | 2088 | Is there a cup in the image? | no | COCO_val2014_000000433574 | adversarial | |
2088 | 2089 | Is there a truck in the image? | yes | COCO_val2014_000000212241 | adversarial | |
2089 | 2090 | Is there a traffic light in the image? | no | COCO_val2014_000000212241 | adversarial | |
2090 | 2091 | Is there a person in the image? | yes | COCO_val2014_000000212241 | adversarial | |
2091 | 2092 | Is there a dining table in the image? | no | COCO_val2014_000000212241 | adversarial | |
2092 | 2093 | Is there a train in the image? | yes | COCO_val2014_000000212241 | adversarial | |
2093 | 2094 | Is there a bus in the image? | no | COCO_val2014_000000212241 | adversarial | |
2094 | 2095 | Is there a person in the image? | yes | COCO_val2014_000000114941 | adversarial | |
2095 | 2096 | Is there a dining table in the image? | no | COCO_val2014_000000114941 | adversarial | |
2096 | 2097 | Is there a train in the image? | yes | COCO_val2014_000000114941 | adversarial | |
2097 | 2098 | Is there a truck in the image? | no | COCO_val2014_000000114941 | adversarial | |
2098 | 2099 | Is there a car in the image? | yes | COCO_val2014_000000114941 | adversarial | |
2099 | 2100 | Is there a bus in the image? | no | COCO_val2014_000000114941 | 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.