Split (2)

train · 3.3k rows

beauty_score float32 1.03 4.7	race stringclasses 2 values	gender stringclasses 2 values	image_name stringlengths 7 10	has_landmarks bool 1 class
3.916667	Asian	Female	AF1842.jpg	true
2.566667	Asian	Male	AM1243.jpg	true
4.2	Asian	Female	AF722.jpg	true
2.183333	Asian	Female	AF186.jpg	true
3.35	Asian	Female	AF998.jpg	true
3.666667	Caucasian	Female	CF456.jpg	true
2.083333	Asian	Female	AF1796.jpg	true
3.9	Asian	Female	AF1286.jpg	true
2.25	Asian	Male	AM723.jpg	true
3.766667	Asian	Female	AF1586.jpg	true
2.1	Caucasian	Female	CF352.jpg	true
4.1	Asian	Female	AF453.jpg	true
2.25	Asian	Female	AF334.jpg	true
2.85	Asian	Male	AM1420.jpg	true
2.3	Asian	Female	AF258.jpg	true
3.916667	Caucasian	Female	CF7.jpg	true
4.4	Caucasian	Female	CF637.jpg	true
3.516667	Asian	Male	AM1834.jpg	true
3.7	Asian	Female	AF1558.jpg	true
2.033333	Asian	Female	AF717.jpg	true
2.616667	Caucasian	Male	CM556.jpg	true
3.583333	Asian	Female	AF1400.jpg	true
2.016667	Asian	Female	AF887.jpg	true
3.883333	Asian	Female	AF1719.jpg	true
3.65	Caucasian	Female	CF726.jpg	true
4.066667	Caucasian	Male	CM734.jpg	true
2.916667	Asian	Male	AM174.jpg	true
2.466667	Caucasian	Male	CM76.jpg	true
4.166667	Asian	Female	AF1990.jpg	true
2.266667	Caucasian	Female	CF453.jpg	true
2.533333	Asian	Male	AM1337.jpg	true
3.333333	Asian	Female	AF1794.jpg	true
2.533333	Caucasian	Female	CF238.jpg	true
2.6	Asian	Male	AM1376.jpg	true
4.133333	Asian	Female	AF1390.jpg	true
3.833333	Asian	Male	AM1863.jpg	true
2.716667	Asian	Male	AM960.jpg	true
4.083333	Asian	Male	AM1992.jpg	true
1.783333	Asian	Female	AF90.jpg	true
4.083333	Asian	Male	AM1790.jpg	true
4.316667	Asian	Male	AM152.jpg	true
3.716667	Asian	Male	AM1970.jpg	true
2.133333	Asian	Female	AF276.jpg	true
2.916667	Asian	Female	AF597.jpg	true
2.816667	Asian	Male	AM804.jpg	true
4.016667	Caucasian	Female	CF595.jpg	true
2.95	Asian	Male	AM1607.jpg	true
2.633333	Caucasian	Male	CM441.jpg	true
3.816667	Caucasian	Female	CF107.jpg	true
2.883333	Caucasian	Female	CF497.jpg	true
2.65	Asian	Male	AM309.jpg	true
3.983333	Asian	Female	AF1637.jpg	true
3.983333	Caucasian	Female	CF625.jpg	true
2.75	Asian	Male	AM1011.jpg	true
3.433333	Caucasian	Female	CF717.jpg	true
4.133333	Asian	Female	AF882.jpg	true
3.333333	Asian	Female	AF1134.jpg	true
4.4	Caucasian	Female	CF707.jpg	true
2.783333	Caucasian	Female	CF181.jpg	true
2.5	Asian	Male	AM228.jpg	true
3.283333	Asian	Female	AF1394.jpg	true
2.433333	Caucasian	Male	CM400.jpg	true
3.133333	Asian	Male	AM1918.jpg	true
2.433333	Asian	Male	AM692.jpg	true
2.166667	Asian	Female	AF37.jpg	true
2.883333	Asian	Female	AF982.jpg	true
2.7	Caucasian	Male	CM84.jpg	true
2.2	Asian	Male	AM1073.jpg	true
2.766667	Asian	Female	AF948.jpg	true
4.1	Asian	Female	AF1477.jpg	true
2.7	Asian	Male	AM1019.jpg	true
2.4	Asian	Female	AF523.jpg	true
2.6	Asian	Male	AM1504.jpg	true
2.6	Asian	Male	AM530.jpg	true
2.333333	Caucasian	Male	CM492.jpg	true
3.083333	Asian	Female	AF673.jpg	true
2.35	Asian	Female	AF925.jpg	true
2.55	Caucasian	Female	CF350.jpg	true
4.066667	Asian	Female	AF1903.jpg	true
2.65	Asian	Male	AM513.jpg	true
3.216667	Asian	Male	AM1896.jpg	true
2.466667	Caucasian	Male	CM329.jpg	true
4.116667	Caucasian	Male	CM703.jpg	true
2.65	Asian	Female	AF718.jpg	true
3.033333	Caucasian	Male	CM615.jpg	true
3.383333	Asian	Male	AM1625.jpg	true
4.1	Asian	Male	AM148.jpg	true
4.083333	Asian	Male	AM1644.jpg	true
2.316667	Asian	Female	AF463.jpg	true
2.766667	Caucasian	Female	CF66.jpg	true
2.783333	Caucasian	Female	CF338.jpg	true
3.9	Caucasian	Female	CF737.jpg	true
2.216667	Caucasian	Female	CF300.jpg	true
4.15	Caucasian	Female	CF563.jpg	true
2.033333	Asian	Male	AM495.jpg	true
1.666667	Asian	Male	AM1363.jpg	true
2.183333	Caucasian	Male	CM151.jpg	true
2.333333	Asian	Male	AM1079.jpg	true
4.1	Asian	Female	AF1752.jpg	true
2.483333	Asian	Female	AF641.jpg	true

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