Datasets:

negedng
/

CelebA-attrs-identity

identity int64	bbox sequence	landmarks sequence	5_o_Clock_Shadow int64	Arched_Eyebrows int64	Attractive int64	Bags_Under_Eyes int64	Bald int64	Bangs int64	Big_Lips int64	Big_Nose int64	Black_Hair int64	Blond_Hair int64	Blurry int64	Brown_Hair int64	Bushy_Eyebrows int64	Chubby int64	Double_Chin int64	Eyeglasses int64	Goatee int64	Gray_Hair int64	Heavy_Makeup int64	High_Cheekbones int64	Male int64	Mouth_Slightly_Open int64	Narrow_Eyes int64	No_Beard int64	Oval_Face int64	Pale_Skin int64	Pointy_Nose int64	Receding_Hairline int64	Rosy_Cheeks int64	Sideburns int64	Smiling int64	Straight_Hair int64	Wavy_Hair int64	Wearing_Earrings int64	Wearing_Hat int64	Wearing_Lipstick int64	Wearing_Necklace int64	Wearing_Necktie int64	Young int64
2,880	[ 95, 71, 226, 313 ]	[ 69, 109, 106, 113, 77, 142, 73, 152, 108, 154 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1	0	0	0	1	1	0	1	0	1	0	0	1
2,937	[ 72, 94, 221, 306 ]	[ 69, 110, 107, 112, 81, 135, 70, 151, 108, 153 ]	0	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
8,692	[ 216, 59, 91, 126 ]	[ 76, 112, 104, 106, 108, 128, 74, 156, 98, 158 ]	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	1	1	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1
5,805	[ 622, 257, 564, 781 ]	[ 72, 113, 108, 108, 101, 138, 71, 155, 101, 151 ]	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	1	0	1	0	1	1	0	1
9,295	[ 236, 109, 120, 166 ]	[ 66, 114, 112, 112, 86, 119, 71, 147, 104, 150 ]	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1
4,153	[ 146, 67, 182, 252 ]	[ 71, 111, 106, 110, 94, 131, 74, 154, 102, 153 ]	0	1	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	1	1	0	1	0	0	1
9,040	[ 64, 93, 211, 292 ]	[ 70, 112, 108, 111, 85, 135, 72, 152, 104, 152 ]	1	0	1	1	0	0	1	1	1	0	0	0	1	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1
6,369	[ 212, 89, 218, 302 ]	[ 71, 110, 106, 111, 84, 137, 73, 155, 104, 153 ]	1	1	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1
3,332	[ 600, 274, 343, 475 ]	[ 68, 113, 110, 111, 97, 139, 66, 152, 109, 150 ]	0	1	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	1	1	0	1	0	1	0	1	0	0	1	0	1	0	0	1
612	[ 113, 110, 211, 292 ]	[ 68, 111, 108, 112, 89, 136, 70, 151, 107, 151 ]	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
2,807	[ 166, 68, 125, 173 ]	[ 69, 112, 108, 111, 89, 139, 72, 152, 104, 151 ]	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
7,779	[ 102, 31, 104, 144 ]	[ 69, 112, 108, 112, 89, 136, 68, 150, 109, 152 ]	0	0	1	1	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	1	1	1	0	1	1	0	0	0	0	0	1	1	0	0	0	0	0	0	1
3,785	[ 89, 132, 247, 342 ]	[ 68, 112, 109, 111, 90, 138, 67, 151, 109, 150 ]	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	1	1	0	1	1	0	0	0	0	0	1	1	0	0	0	0	0	0	1
7,081	[ 110, 122, 234, 324 ]	[ 68, 112, 109, 111, 92, 141, 72, 150, 104, 152 ]	0	1	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	1	0	1
1,854	[ 93, 86, 190, 263 ]	[ 69, 110, 107, 112, 90, 133, 74, 152, 105, 153 ]	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0
4,905	[ 39, 89, 283, 392 ]	[ 69, 112, 108, 111, 85, 138, 70, 152, 105, 152 ]	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1
667	[ 40, 64, 62, 86 ]	[ 67, 112, 109, 113, 86, 138, 67, 150, 111, 151 ]	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	1	1	0	0	0	0	0	1	1	0	0	0	0	0	0	1
2,464	[ 140, 84, 195, 270 ]	[ 67, 112, 110, 112, 88, 135, 68, 150, 109, 150 ]	0	1	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	1	1	0	1	1	1	0	0	1	0	1	0	1	0	1	1	0	1	1	0	0
2,929	[ 226, 87, 138, 191 ]	[ 68, 111, 108, 112, 88, 134, 73, 152, 104, 151 ]	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	1	1	0	0	0	0	0	0	1	0	0	1	1	0	1
2,782	[ 85, 38, 221, 306 ]	[ 69, 112, 109, 110, 86, 125, 72, 152, 103, 151 ]	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	0	0	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1
181	[ 128, 27, 135, 187 ]	[ 70, 111, 107, 111, 87, 138, 73, 151, 104, 154 ]	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	1	1	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	1	0
6,642	[ 130, 33, 114, 158 ]	[ 70, 111, 107, 111, 85, 132, 74, 153, 103, 153 ]	0	1	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	1	0	0	1	1	0	1
1	[ 159, 94, 231, 320 ]	[ 70, 112, 108, 111, 88, 140, 71, 153, 105, 151 ]	1	0	1	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	1	1	1	0	0	1	0	0	0	1	1	0	0	0	0	0	0	1
9,290	[ 753, 127, 114, 158 ]	[ 67, 111, 109, 113, 84, 123, 72, 149, 106, 152 ]	0	1	1	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0	1	0	1	1	0	1
7,578	[ 239, 85, 200, 277 ]	[ 70, 111, 108, 111, 83, 130, 72, 153, 104, 152 ]	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
10,046	[ 59, 45, 107, 148 ]	[ 69, 111, 108, 111, 85, 135, 73, 152, 103, 152 ]	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	1
4,128	[ 90, 47, 104, 144 ]	[ 70, 112, 107, 110, 101, 138, 70, 155, 105, 151 ]	0	1	1	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1	0	0	0	1	0	1	0	0	1	0	0	1
3,670	[ 118, 32, 174, 241 ]	[ 68, 112, 110, 112, 89, 145, 67, 150, 109, 151 ]	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1	0	0	0	1	0	1	0	0	1	0	0	1
3,422	[ 93, 71, 153, 212 ]	[ 69, 111, 108, 111, 91, 129, 70, 151, 107, 152 ]	0	1	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	1	0	1	1	0	1	0	0	0	1	0	1	1	0	1	0	0	1
8,216	[ 165, 181, 372, 515 ]	[ 70, 110, 106, 111, 95, 135, 75, 153, 103, 153 ]	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
9,181	[ 70, 94, 283, 392 ]	[ 68, 113, 109, 111, 88, 137, 65, 151, 111, 151 ]	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	1	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	1
268	[ 143, 50, 211, 292 ]	[ 72, 111, 106, 110, 88, 133, 75, 153, 101, 155 ]	0	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0
7,600	[ 82, 37, 114, 158 ]	[ 69, 111, 108, 111, 88, 136, 72, 152, 105, 152 ]	0	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1
1,603	[ 181, 41, 101, 140 ]	[ 70, 111, 108, 111, 91, 134, 72, 153, 104, 152 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1
5,512	[ 322, 138, 146, 202 ]	[ 69, 111, 108, 111, 88, 135, 73, 152, 104, 152 ]	0	1	1	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
3,272	[ 102, 56, 125, 173 ]	[ 74, 106, 101, 111, 69, 138, 80, 156, 102, 158 ]	0	0	0	1	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
8,744	[ 96, 74, 174, 241 ]	[ 72, 110, 105, 110, 94, 132, 76, 155, 101, 155 ]	0	0	0	0	0	0	1	1	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1
4,407	[ 128, 99, 242, 335 ]	[ 69, 112, 109, 111, 93, 137, 68, 151, 109, 152 ]	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
6,446	[ 167, 207, 96, 133 ]	[ 69, 111, 108, 111, 100, 131, 68, 151, 108, 152 ]	0	1	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1	0	0	0	1	0	1	1	0	1	0	0	1
2,088	[ 91, 87, 166, 230 ]	[ 69, 112, 108, 111, 89, 139, 73, 152, 103, 152 ]	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	0	1	0	1	0	0	1
1,058	[ 127, 91, 172, 238 ]	[ 70, 105, 102, 114, 65, 144, 73, 151, 112, 159 ]	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
5,230	[ 84, 102, 174, 241 ]	[ 68, 112, 109, 112, 92, 138, 68, 152, 109, 150 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0	0	1	1	0	1	0	1	0	1	0	0	1	0	1	0	0	1
5,239	[ 133, 62, 133, 184 ]	[ 68, 111, 109, 112, 90, 136, 67, 150, 110, 151 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	0	1	1	0	1	0	0	0	1	0	1	1	0	1	0	0	1
2,079	[ 743, 626, 998, 1382 ]	[ 71, 110, 106, 111, 87, 137, 73, 153, 105, 154 ]	0	0	0	1	0	0	1	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1
4,125	[ 220, 26, 138, 191 ]	[ 69, 112, 108, 111, 86, 140, 68, 151, 108, 152 ]	0	1	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	1	1	1	0	0	0	0	0	1	0	1	1	0	1	0	0	1
6,318	[ 134, 65, 99, 137 ]	[ 66, 112, 110, 113, 87, 139, 69, 149, 109, 150 ]	0	0	1	0	0	1	1	0	1	0	0	0	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1	0	0	0	1	0	1	0	0	1	0	0	1
9,177	[ 142, 89, 203, 281 ]	[ 68, 112, 109, 112, 88, 135, 72, 151, 105, 152 ]	0	1	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0	0	1	1	0	1	1	1	0	0	0	0	0	0	1	1	0	1	0	1	0	0	1
4,310	[ 264, 58, 140, 194 ]	[ 70, 113, 108, 110, 81, 125, 74, 154, 100, 150 ]	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1
6,817	[ 47, 45, 60, 83 ]	[ 73, 107, 102, 111, 76, 139, 78, 157, 102, 156 ]	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0
1,058	[ 110, 30, 133, 184 ]	[ 68, 112, 109, 111, 93, 139, 66, 151, 110, 151 ]	0	0	1	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	1	1	1	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	1
1,446	[ 61, 98, 255, 353 ]	[ 67, 113, 110, 112, 83, 140, 69, 148, 107, 152 ]	1	0	0	1	1	0	0	1	0	0	0	0	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
3,896	[ 135, 159, 333, 461 ]	[ 70, 111, 107, 111, 85, 135, 72, 153, 105, 153 ]	0	0	0	1	0	0	0	1	0	0	0	1	1	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0
9,397	[ 35, 64, 91, 126 ]	[ 70, 112, 108, 111, 91, 137, 72, 153, 103, 152 ]	1	0	0	0	0	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8,443	[ 876, 228, 224, 310 ]	[ 67, 112, 110, 112, 87, 138, 66, 150, 111, 151 ]	0	1	1	1	0	0	1	1	0	1	0	0	0	0	0	0	0	0	1	1	0	1	1	1	0	0	0	0	0	0	1	0	1	0	0	1	1	0	1
4,883	[ 30, 62, 268, 371 ]	[ 69, 111, 108, 111, 86, 133, 73, 151, 104, 153 ]	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
545	[ 188, 91, 281, 389 ]	[ 69, 111, 107, 111, 97, 133, 74, 152, 103, 152 ]	0	1	1	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	1
10,144	[ 220, 25, 114, 158 ]	[ 71, 111, 106, 110, 95, 134, 73, 154, 103, 154 ]	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	1	0	0	1
2,879	[ 167, 64, 140, 194 ]	[ 68, 112, 109, 112, 89, 132, 73, 152, 104, 150 ]	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
6,204	[ 125, 169, 263, 364 ]	[ 72, 110, 105, 110, 75, 132, 75, 153, 101, 156 ]	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1
6,880	[ 17, 84, 174, 241 ]	[ 71, 112, 107, 109, 74, 131, 70, 154, 104, 153 ]	0	0	0	0	0	0	1	1	0	0	0	0	0	1	1	0	1	0	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
3,316	[ 171, 50, 239, 331 ]	[ 74, 110, 104, 108, 97, 130, 78, 158, 97, 154 ]	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
1,499	[ 263, 68, 94, 130 ]	[ 69, 111, 108, 112, 87, 137, 72, 153, 105, 151 ]	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	1	0	1
1,539	[ 1, 58, 91, 126 ]	[ 68, 111, 108, 113, 82, 142, 66, 150, 112, 152 ]	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	1	0	0	0	0	1	0	1	0	1	0	0	1	0	0	1
3,629	[ 82, 66, 177, 245 ]	[ 68, 111, 108, 112, 88, 132, 71, 151, 106, 152 ]	1	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1
3,046	[ 377, 105, 164, 227 ]	[ 69, 112, 108, 111, 87, 136, 71, 152, 106, 151 ]	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1
3,792	[ 29, 39, 57, 79 ]	[ 66, 112, 110, 113, 86, 136, 65, 149, 114, 150 ]	0	1	1	1	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	1	0	0	1	0	1	1	0	0
1,175	[ 254, 95, 237, 322 ]	[ 70, 110, 106, 111, 93, 136, 73, 154, 104, 153 ]	0	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
5,300	[ 98, 103, 234, 324 ]	[ 69, 111, 108, 111, 93, 136, 72, 151, 105, 153 ]	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0
4,627	[ 58, 54, 229, 317 ]	[ 68, 111, 108, 112, 88, 126, 77, 151, 101, 152 ]	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3,403	[ 46, 30, 75, 104 ]	[ 67, 109, 107, 114, 78, 144, 72, 150, 110, 153 ]	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	1	1	1	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1
9,289	[ 59, 105, 174, 241 ]	[ 68, 111, 109, 113, 85, 138, 71, 151, 108, 151 ]	0	0	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	0	0	1	1	0	1	0	0	0	1	1	0	1	0	1	0	0	1
5,604	[ 20, 29, 101, 140 ]	[ 68, 112, 109, 112, 89, 137, 64, 151, 113, 150 ]	0	0	0	1	0	0	0	1	1	0	0	0	1	1	1	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0
7,880	[ 145, 50, 161, 223 ]	[ 70, 110, 107, 111, 77, 134, 74, 152, 103, 154 ]	0	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	1	0	0	1	0	1	0	0	1	0	0	0	0	0	1	0	0	1	0	0	1
266	[ 126, 1, 374, 518 ]	[ 68, 111, 108, 113, 88, 124, 75, 153, 103, 150 ]	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	1	1	0	0	0	0	0	0	0	0	0	1	1	1	0	0	1
640	[ 257, 6, 99, 137 ]	[ 70, 111, 107, 111, 80, 129, 73, 152, 103, 153 ]	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	1	0	0	1
184	[ 175, 29, 133, 184 ]	[ 67, 113, 110, 112, 83, 126, 67, 151, 109, 150 ]	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	1
13	[ 70, 116, 221, 306 ]	[ 68, 111, 109, 112, 83, 138, 69, 150, 109, 152 ]	0	0	1	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	1	1	0	0	0	0	0	1	0	1	0	0	1	0	0	1
8,671	[ 272, 43, 151, 209 ]	[ 66, 112, 111, 113, 90, 126, 70, 149, 107, 150 ]	0	1	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	1	1	0	1	1	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1
6,625	[ 57, 47, 221, 306 ]	[ 70, 111, 107, 111, 80, 139, 73, 153, 103, 152 ]	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0
3,286	[ 84, 79, 281, 389 ]	[ 69, 110, 107, 112, 92, 137, 73, 153, 105, 152 ]	0	0	1	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1
9,642	[ 111, 58, 133, 184 ]	[ 69, 112, 108, 111, 95, 136, 68, 153, 109, 150 ]	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	1	1	1	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	1
4,407	[ 67, 33, 99, 137 ]	[ 69, 111, 108, 111, 88, 135, 69, 152, 108, 151 ]	1	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1
2,192	[ 88, 84, 161, 223 ]	[ 68, 112, 109, 112, 87, 138, 69, 150, 108, 152 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0	0	1	1	0	0	0	0	0	1	0	1	1	0	1	1	0	1
4,385	[ 99, 48, 117, 162 ]	[ 69, 111, 108, 111, 93, 128, 71, 151, 107, 153 ]	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	1	0	0	0
5,127	[ 271, 312, 603, 835 ]	[ 68, 111, 108, 112, 85, 139, 72, 150, 107, 152 ]	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	1	0	0	0	1	1	0	1	1	0	1
6,145	[ 856, 226, 317, 439 ]	[ 69, 109, 106, 113, 97, 132, 79, 152, 101, 153 ]	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1
5,689	[ 44, 34, 81, 112 ]	[ 69, 112, 108, 112, 93, 140, 66, 152, 111, 151 ]	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	1	1	0	0	1	0	0	0	0	1	1	0	1
5,578	[ 52, 112, 278, 385 ]	[ 71, 112, 107, 110, 81, 134, 77, 153, 98, 154 ]	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
5,472	[ 337, 146, 320, 443 ]	[ 69, 111, 108, 111, 83, 140, 73, 151, 104, 153 ]	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	1	0	0	1	0	0	1
6,622	[ 38, 33, 109, 151 ]	[ 71, 110, 105, 111, 92, 133, 77, 154, 100, 154 ]	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
4,915	[ 101, 120, 174, 241 ]	[ 69, 111, 108, 111, 88, 139, 73, 152, 104, 152 ]	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1
4,876	[ 133, 78, 140, 194 ]	[ 68, 112, 109, 111, 94, 137, 73, 151, 104, 151 ]	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	1	0	1	0	0	0	0	1	0	0	1
7,399	[ 167, 43, 55, 76 ]	[ 66, 112, 111, 113, 87, 126, 72, 148, 105, 150 ]	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0	1
4,960	[ 167, 38, 96, 133 ]	[ 68, 111, 108, 112, 92, 134, 69, 150, 109, 153 ]	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	1	0	1	0	1	0	1	0	0	1	0	0	0	1	0	0	0	0	1	1	0	0
2,410	[ 28, 20, 109, 137 ]	[ 70, 112, 108, 110, 92, 132, 75, 153, 101, 152 ]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	1	1	0	0	0	1
4,262	[ 322, 110, 330, 457 ]	[ 69, 111, 108, 112, 91, 128, 74, 151, 103, 152 ]	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
6,530	[ 202, 77, 200, 277 ]	[ 69, 111, 108, 111, 87, 132, 76, 150, 101, 154 ]	0	1	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0	1	0	1	0	0	1	0	0	0	0	1	1	0	0	1	0	0	1
5,927	[ 436, 56, 101, 140 ]	[ 70, 111, 107, 111, 80, 137, 77, 152, 100, 154 ]	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1
8,289	[ 102, 83, 138, 191 ]	[ 68, 112, 109, 112, 90, 138, 66, 151, 111, 150 ]	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	1	0	1	1	0	0	0	1	0	1	0	1	0	0	1	0	0	1
6,746	[ 284, 140, 364, 504 ]	[ 69, 111, 108, 111, 95, 134, 69, 151, 107, 152 ]	0	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1

End of preview. Expand in Data Studio

CelebA Dataset from Torchvision

Torchvision documentation: https://docs.pytorch.org/vision/main/generated/torchvision.datasets.CelebA.html

Features

Features include identity (id of the celeb in the image), bbox, landmarks and the 40 binary attributes

Attributes are (0,1) as in the torchvision dataset, not (-1,1) as in the original format

Script generation

traindataset = torchvision.datasets.CelebA(
    root='./datasets', split='train', download=True, transform=None, target_type=['attr', 'identity','bbox','landmarks']
)
with open("celeba/list_attr_celeba.txt", 'r') as file:
    lines = file.readlines()
# Get the second line (index 1) and split by spaces
attr_names = lines[1].strip().split()

data = []
for i in range(len(traindataset)):
    img, label = traindataset[i]
    attr, identity,bbox,landmarks = label
    sample_dict = {
        "image": img,
        "identity": identity,
        "bbox":bbox,
        "landmarks":landmarks
    }
    for k,v in zip(attr_names,attr):
        sample_dict[k] = v
    data.append(sample_dict)
hf_dataset = HFDataset.from_list(data)

hf_dataset.save_to_disk(path)

Steps to make the saved arrow formats compatible with HF Hub DataViewer:

Save a dataset_info.json from the generated files and place in the root folder of the repo.
Remove generated files that are not the arrow format.
Place all arrow files into the same folder, rename to start with the name of the split.

Citation information

@inproceedings{liu2015faceattributes,
  title = {Deep Learning Face Attributes in the Wild},
  author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
  month = {December},
  year = {2015} 
}

License

Follow original license from https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

Downloads last month: 90

Size of downloaded dataset files:

1.51 GB

Size of the auto-converted Parquet files:

1.42 GB

Number of rows:

202,599