Split (1)

train · 47.6k rows

id int64 73 52.5k	gender stringclasses 3 values	race stringclasses 5 values	lang stringclasses 52 values	age stringclasses 10 values	filesize float64 2.7 1.59k	width int64 608 3.84k	height int64 720 2.16k	length float64 9.2 179	fps float64 10 60
10,710	female	black	en	10-19	47.2	3,840	2,160	21.03	30
10,711	female	black	en	10-19	53.2	3,840	2,160	20.07	30
10,712	female	black	en	10-19	57.7	3,840	2,160	23.83	30
10,713	male	white	en	30-39	76.2	3,840	2,160	50.05	30
10,714	male	black	en	40-49	5.2	1,920	1,080	20.59	30
10,715	male	indian	en	20-29	116.7	3,840	2,160	38.84	30
10,716	female	white	en	40-49	9.5	1,920	1,080	23.76	25
10,717	male	black	en	20-29	41.1	1,920	1,080	128.4	25
10,718	male	black	en	20-29	17.6	1,920	1,080	50.64	25
10,719	male	white	en	50-59	18.5	1,920	1,080	41.23	30
10,720	male	white	en	50-59	14.1	1,920	1,080	30.23	30
10,721	male	white	en	50-59	20.5	1,920	1,080	46.7	30
10,722	male	white	en	30-39	63.2	3,840	2,160	20.79	24
10,723	male	white	en	30-39	84.1	3,840	2,160	43.79	24
10,724	male	white	en	30-39	51.9	3,840	2,160	26.46	24
10,725	male	white	en	30-39	131.4	3,840	2,160	69.54	24
10,726	male	white	en	30-39	90.1	3,840	2,160	47.92	24
10,727	male	white	en	30-39	60.3	3,840	2,160	32.54	24
10,728	male	white	en	30-39	45.3	3,840	2,160	24.67	24
10,729	male	white	en	30-39	52.2	3,840	2,160	27.42	24
10,730	male	white	en	30-39	160.5	3,840	2,160	87.29	24
10,731	male	white	en	30-39	49.4	3,840	2,160	20.85	24
10,732	female	black	en	20-29	125.8	3,840	2,160	42.83	30
10,733	female	black	en	20-29	178.2	3,840	2,160	60.33	30
10,734	female	black	en	20-29	118.8	3,840	2,160	42.53	30
10,735	female	black	en	20-29	123.5	3,840	2,160	42.13	30
10,736	female	black	en	20-29	203.6	3,840	2,160	77.73	30
10,737	female	black	en	20-29	85.2	3,840	2,160	30.77	30
10,738	female	black	en	20-29	121.3	3,840	2,160	42.97	30
10,739	male	asian	en	20-29	137.5	3,840	2,160	54.85	24
10,740	male	asian	en	20-29	87.7	3,840	2,160	30.28	24
10,741	male	asian	en	20-29	69.8	3,840	2,160	27.36	24
10,742	male	asian	en	20-29	111	3,840	2,160	44.79	24
10,743	male	asian	en	20-29	109.1	3,840	2,160	49.34	24
10,744	male	asian	en	20-29	48.6	3,840	2,160	26.62	60
10,745	male	asian	en	20-29	37.2	3,840	2,160	21.47	60
10,746	male	asian	en	20-29	48.1	3,840	2,160	29.37	60
10,747	male	asian	en	20-29	60.3	3,840	2,160	31.12	60
10,748	male	white	en	20-29	42.7	3,840	2,160	26.48	24
10,749	male	white	en	20-29	32.6	3,840	2,160	20.15	24
10,750	male	white	en	20-29	32.8	3,840	2,160	20.27	24
10,751	male	white	en	30-39	42	3,840	2,160	35.03	30
10,752	male	white	en	30-39	24.2	3,840	2,160	20.29	30
10,753	male	white	en	30-39	27.6	3,840	2,160	23.02	30
10,754	female	white	en	30-39	165.3	3,840	2,160	65.57	30
10,755	female	white	en	30-39	55.1	3,840	2,160	21.29	30
10,756	female	white	en	30-39	67	3,840	2,160	27.43	30
10,757	female	white	en	30-39	86.1	3,840	2,160	36.94	30
10,758	male	white	en	20-29	28.1	3,840	2,160	28.32	25
10,759	male	white	en	20-29	25.2	3,840	2,160	24.48	25
10,760	male	white	en	30-39	12.8	1,920	1,080	22.38	60
10,761	female	white	en	20-29	59.5	3,840	2,160	48.79	24
10,762	male	white	en	30-39	67.5	3,840	2,160	57.26	30
10,763	male	white	en	30-39	89.4	3,840	2,160	77.38	30
10,764	male	white	en	30-39	51.1	3,840	2,160	43.98	30
10,765	male	white	en	30-39	24.3	3,840	2,160	21.29	30
10,766	male	white	en	30-39	74.5	3,840	2,160	61.49	30
10,767	male	white	en	20-29	34.7	3,840	2,160	22.12	30
10,768	male	white	en	20-29	50.9	3,840	2,160	34	30
10,769	male	white	en	20-29	51.3	3,840	2,160	33.73	30
10,770	female	asian	en	30-39	20.6	1,920	1,080	41.5	24
10,771	female	asian	en	30-39	20	1,920	1,080	36.66	24
10,772	male	asian	en	20-29	31.9	3,840	2,160	21.48	25
10,773	male	white	en	40-49	144.7	3,840	2,160	37.24	30
10,774	male	white	en	40-49	269.8	3,840	2,160	73.77	30
10,775	male	white	en	40-49	197.5	3,840	2,160	54.69	30
10,776	male	white	en	40-49	213	3,840	2,160	59.29	30
10,777	male	white	en	40-49	245.4	3,840	2,160	61.16	30
10,778	male	white	en	20-29	10.8	1,920	1,080	20.13	60
10,779	male	white	en	20-29	12.2	1,920	1,080	22.02	60
10,780	male	black	en	20-29	23.2	1,920	1,080	28.18	59.9
10,781	male	white	en	50-59	58.4	3,840	2,160	28.6	30
10,782	male	white	en	40-49	25.3	1,920	1,080	55.83	30
10,783	male	white	en	40-49	19.9	1,920	1,080	53.53	30
10,784	male	white	en	40-49	30.6	1,920	1,080	75.6	30
10,785	male	white	en	40-49	9.8	1,920	1,080	26.13	30
10,786	male	white	en	40-49	7.5	1,920	1,080	20.57	30
10,787	male	white	en	30-39	48.6	3,840	2,160	20.43	30
10,788	male	white	en	30-39	83.3	3,840	2,160	34.92	24
10,789	male	white	en	30-39	63.5	3,840	2,160	26.42	24
10,790	male	white	en	30-39	159.5	3,840	2,160	39.93	30
10,791	male	white	en	50-59	23.5	1,920	1,080	53.63	30
10,792	male	white	en	50-59	11.1	1,920	1,080	26.3	30
10,793	female	white	en	40-49	74.4	3,840	2,160	21.97	59.9
10,794	male	asian	en	30-39	601.6	3,840	2,160	175.87	60
10,795	male	white	en	20-29	53.4	3,840	2,160	24.61	24
10,796	male	white	en	20-29	56.6	3,840	2,160	24.48	24
10,797	male	white	en	20-29	89.9	3,840	2,160	40.29	24
10,798	male	white	en	20-29	109.2	3,840	2,160	47.21	24
10,799	male	white	en	20-29	127.3	3,840	2,160	56.93	24
10,800	male	white	en	20-29	110.7	3,840	2,160	51.05	24
10,801	male	asian	en	20-29	126.6	3,840	2,160	113.61	30
10,802	male	asian	en	20-29	41.2	3,840	2,160	29.53	30
10,803	male	asian	en	20-29	32.7	3,840	2,160	24.52	30
10,804	male	white	en	50-59	25.5	1,920	1,080	25.93	59.9
10,805	male	white	en	30-39	25.9	3,840	2,160	22.27	24
10,806	male	white	en	30-39	50.3	3,840	2,160	40.46	24
10,807	female	asian	en	20-29	81.6	3,840	2,160	59.1	24
10,808	female	white	en	30-39	20.1	1,920	1,080	33.23	30
10,809	female	white	en	30-39	17.4	1,920	1,080	20.73	30

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