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 |
|---|---|---|---|---|---|---|
2100 | 2101 | Is there a remote in the image? | yes | COCO_val2014_000000493753 | adversarial | |
2101 | 2102 | Is there a person in the image? | no | COCO_val2014_000000493753 | adversarial | |
2102 | 2103 | Is there a laptop in the image? | yes | COCO_val2014_000000493753 | adversarial | |
2103 | 2104 | Is there a cell phone in the image? | no | COCO_val2014_000000493753 | adversarial | |
2104 | 2105 | Is there a chair in the image? | yes | COCO_val2014_000000493753 | adversarial | |
2105 | 2106 | Is there a couch in the image? | no | COCO_val2014_000000493753 | adversarial | |
2106 | 2107 | Is there a person in the image? | yes | COCO_val2014_000000410597 | adversarial | |
2107 | 2108 | Is there a car in the image? | no | COCO_val2014_000000410597 | adversarial | |
2108 | 2109 | Is there a wine glass in the image? | yes | COCO_val2014_000000410597 | adversarial | |
2109 | 2110 | Is there a bottle in the image? | no | COCO_val2014_000000410597 | adversarial | |
2110 | 2111 | Is there a dining table in the image? | yes | COCO_val2014_000000410597 | adversarial | |
2111 | 2112 | Is there a chair in the image? | no | COCO_val2014_000000410597 | adversarial | |
2112 | 2113 | Is there a mouse in the image? | yes | COCO_val2014_000000382617 | adversarial | |
2113 | 2114 | Is there a laptop in the image? | no | COCO_val2014_000000382617 | adversarial | |
2114 | 2115 | Is there a dining table in the image? | yes | COCO_val2014_000000382617 | adversarial | |
2115 | 2116 | Is there a person in the image? | no | COCO_val2014_000000382617 | adversarial | |
2116 | 2117 | Is there a book in the image? | yes | COCO_val2014_000000382617 | adversarial | |
2117 | 2118 | Is there a tv in the image? | no | COCO_val2014_000000382617 | adversarial | |
2118 | 2119 | Is there a person in the image? | yes | COCO_val2014_000000467887 | adversarial | |
2119 | 2120 | Is there a car in the image? | no | COCO_val2014_000000467887 | adversarial | |
2120 | 2121 | Is there a mouse in the image? | yes | COCO_val2014_000000467887 | adversarial | |
2121 | 2122 | Is there a tv in the image? | no | COCO_val2014_000000467887 | adversarial | |
2122 | 2123 | Is there a couch in the image? | yes | COCO_val2014_000000467887 | adversarial | |
2123 | 2124 | Is there a book in the image? | no | COCO_val2014_000000467887 | adversarial | |
2124 | 2125 | Is there a person in the image? | yes | COCO_val2014_000000120792 | adversarial | |
2125 | 2126 | Is there a car in the image? | no | COCO_val2014_000000120792 | adversarial | |
2126 | 2127 | Is there a remote in the image? | yes | COCO_val2014_000000120792 | adversarial | |
2127 | 2128 | Is there a dining table in the image? | no | COCO_val2014_000000120792 | adversarial | |
2128 | 2129 | Is there a chair in the image? | yes | COCO_val2014_000000120792 | adversarial | |
2129 | 2130 | Is there a handbag in the image? | no | COCO_val2014_000000120792 | adversarial | |
2130 | 2131 | Is there a person in the image? | yes | COCO_val2014_000000125524 | adversarial | |
2131 | 2132 | Is there a car in the image? | no | COCO_val2014_000000125524 | adversarial | |
2132 | 2133 | Is there a bus in the image? | yes | COCO_val2014_000000125524 | adversarial | |
2133 | 2134 | Is there a traffic light in the image? | no | COCO_val2014_000000125524 | adversarial | |
2134 | 2135 | Is there a fire hydrant in the image? | yes | COCO_val2014_000000125524 | adversarial | |
2135 | 2136 | Is there a stop sign in the image? | no | COCO_val2014_000000125524 | adversarial | |
2136 | 2137 | Is there a person in the image? | yes | COCO_val2014_000000196053 | adversarial | |
2137 | 2138 | Is there a car in the image? | no | COCO_val2014_000000196053 | adversarial | |
2138 | 2139 | Is there a sports ball in the image? | yes | COCO_val2014_000000196053 | adversarial | |
2139 | 2140 | Is there a baseball glove in the image? | no | COCO_val2014_000000196053 | adversarial | |
2140 | 2141 | Is there a tennis racket in the image? | yes | COCO_val2014_000000196053 | adversarial | |
2141 | 2142 | Is there a chair in the image? | no | COCO_val2014_000000196053 | adversarial | |
2142 | 2143 | Is there a person in the image? | yes | COCO_val2014_000000156704 | adversarial | |
2143 | 2144 | Is there a car in the image? | no | COCO_val2014_000000156704 | adversarial | |
2144 | 2145 | Is there a surfboard in the image? | yes | COCO_val2014_000000156704 | adversarial | |
2145 | 2146 | Is there a kite in the image? | no | COCO_val2014_000000156704 | adversarial | |
2146 | 2147 | Is there an umbrella in the imange? | yes | COCO_val2014_000000156704 | adversarial | |
2147 | 2148 | Is there a handbag in the image? | no | COCO_val2014_000000156704 | adversarial | |
2148 | 2149 | Is there a backpack in the image? | yes | COCO_val2014_000000088507 | adversarial | |
2149 | 2150 | Is there a handbag in the image? | no | COCO_val2014_000000088507 | adversarial | |
2150 | 2151 | Is there a person in the image? | yes | COCO_val2014_000000088507 | adversarial | |
2151 | 2152 | Is there a car in the image? | no | COCO_val2014_000000088507 | adversarial | |
2152 | 2153 | Is there an orange in the imange? | yes | COCO_val2014_000000088507 | adversarial | |
2153 | 2154 | Is there a dining table in the image? | no | COCO_val2014_000000088507 | adversarial | |
2154 | 2155 | Is there a person in the image? | yes | COCO_val2014_000000279499 | adversarial | |
2155 | 2156 | Is there a car in the image? | no | COCO_val2014_000000279499 | adversarial | |
2156 | 2157 | Is there a bus in the image? | yes | COCO_val2014_000000279499 | adversarial | |
2157 | 2158 | Is there a traffic light in the image? | no | COCO_val2014_000000279499 | adversarial | |
2158 | 2159 | Is there an umbrella in the imange? | yes | COCO_val2014_000000279499 | adversarial | |
2159 | 2160 | Is there a handbag in the image? | no | COCO_val2014_000000279499 | adversarial | |
2160 | 2161 | Is there a person in the image? | yes | COCO_val2014_000000155131 | adversarial | |
2161 | 2162 | Is there a car in the image? | no | COCO_val2014_000000155131 | adversarial | |
2162 | 2163 | Is there a sports ball in the image? | yes | COCO_val2014_000000155131 | adversarial | |
2163 | 2164 | Is there a baseball glove in the image? | no | COCO_val2014_000000155131 | adversarial | |
2164 | 2165 | Is there a tennis racket in the image? | yes | COCO_val2014_000000155131 | adversarial | |
2165 | 2166 | Is there a chair in the image? | no | COCO_val2014_000000155131 | adversarial | |
2166 | 2167 | Is there a chair in the image? | yes | COCO_val2014_000000252135 | adversarial | |
2167 | 2168 | Is there a dining table in the image? | no | COCO_val2014_000000252135 | adversarial | |
2168 | 2169 | Is there a person in the image? | yes | COCO_val2014_000000252135 | adversarial | |
2169 | 2170 | Is there a car in the image? | no | COCO_val2014_000000252135 | adversarial | |
2170 | 2171 | Is there a couch in the image? | yes | COCO_val2014_000000252135 | adversarial | |
2171 | 2172 | Is there a tv in the image? | no | COCO_val2014_000000252135 | adversarial | |
2172 | 2173 | Is there a chair in the image? | yes | COCO_val2014_000000501652 | adversarial | |
2173 | 2174 | Is there a dining table in the image? | no | COCO_val2014_000000501652 | adversarial | |
2174 | 2175 | Is there a person in the image? | yes | COCO_val2014_000000501652 | adversarial | |
2175 | 2176 | Is there a handbag in the image? | no | COCO_val2014_000000501652 | adversarial | |
2176 | 2177 | Is there a car in the image? | yes | COCO_val2014_000000501652 | adversarial | |
2177 | 2178 | Is there a truck in the image? | no | COCO_val2014_000000501652 | adversarial | |
2178 | 2179 | Is there a backpack in the image? | yes | COCO_val2014_000000238691 | adversarial | |
2179 | 2180 | Is there a skis in the image? | no | COCO_val2014_000000238691 | adversarial | |
2180 | 2181 | Is there a person in the image? | yes | COCO_val2014_000000238691 | adversarial | |
2181 | 2182 | Is there a car in the image? | no | COCO_val2014_000000238691 | adversarial | |
2182 | 2183 | Is there a handbag in the image? | yes | COCO_val2014_000000238691 | adversarial | |
2183 | 2184 | Is there a dining table in the image? | no | COCO_val2014_000000238691 | adversarial | |
2184 | 2185 | Is there a bowl in the image? | yes | COCO_val2014_000000332908 | adversarial | |
2185 | 2186 | Is there a cup in the image? | no | COCO_val2014_000000332908 | adversarial | |
2186 | 2187 | Is there a bottle in the image? | yes | COCO_val2014_000000332908 | adversarial | |
2187 | 2188 | Is there a person in the image? | no | COCO_val2014_000000332908 | adversarial | |
2188 | 2189 | Is there an oven in the imange? | yes | COCO_val2014_000000332908 | adversarial | |
2189 | 2190 | Is there a spoon in the image? | no | COCO_val2014_000000332908 | adversarial | |
2190 | 2191 | Is there a dog in the image? | yes | COCO_val2014_000000372819 | adversarial | |
2191 | 2192 | Is there a car in the image? | no | COCO_val2014_000000372819 | adversarial | |
2192 | 2193 | Is there a person in the image? | yes | COCO_val2014_000000372819 | adversarial | |
2193 | 2194 | Is there a chair in the image? | no | COCO_val2014_000000372819 | adversarial | |
2194 | 2195 | Is there a bench in the image? | yes | COCO_val2014_000000372819 | adversarial | |
2195 | 2196 | Is there a backpack in the image? | no | COCO_val2014_000000372819 | adversarial | |
2196 | 2197 | Is there a dog in the image? | yes | COCO_val2014_000000470699 | adversarial | |
2197 | 2198 | Is there a car in the image? | no | COCO_val2014_000000470699 | adversarial | |
2198 | 2199 | Is there a person in the image? | yes | COCO_val2014_000000470699 | adversarial | |
2199 | 2200 | Is there a dining table in the image? | no | COCO_val2014_000000470699 | 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.