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
47,704	male	asian	tl	20-29	14.8	1,920	1,080	27.13	30
47,705	male	asian	tl	20-29	32	1,920	1,080	55.62	30
47,706	male	asian	tl	20-29	28.2	1,920	1,080	48.95	30
47,707	male	asian	tl	40-49	20.1	1,920	1,080	37.75	24
47,708	male	asian	tl	40-49	49.1	1,920	1,080	55.17	24
47,709	male	asian	tl	40-49	45.9	1,920	1,080	62.92	24
47,710	female	asian	tl	10-19	20.3	1,920	1,080	51.27	30
47,711	female	asian	tl	10-19	11.5	1,920	1,080	29.87	30
47,712	female	asian	tl	10-19	19.6	1,920	1,080	49.2	30
47,713	female	asian	tl	10-19	11.2	1,920	1,080	27.3	30
47,714	female	asian	tl	10-19	24.3	1,920	1,080	66.9	30
47,715	female	asian	tl	10-19	35.3	1,920	1,080	87.03	30
47,716	female	asian	tl	10-19	13	1,920	1,080	31.33	30
47,717	female	asian	tl	10-19	9.3	1,920	1,080	24.97	30
47,718	female	asian	tl	10-19	14.4	1,920	1,080	34.77	30
47,719	female	asian	tl	10-19	29.8	1,920	1,080	72.97	30
47,720	female	asian	tl	10-19	22.1	1,920	1,080	48.9	30
47,721	female	asian	tl	10-19	10.9	1,920	1,080	28.37	30
47,722	female	asian	tl	10-19	41.2	1,920	1,080	90.27	30
47,723	female	asian	tl	10-19	30.6	1,920	1,080	78.63	30
47,725	male	asian	en	30-39	32.1	3,840	2,160	32.2	30
47,726	male	asian	en	30-39	47.1	3,840	2,160	41.71	30
47,727	male	asian	tl	20-29	28.4	1,920	1,080	20.93	30
47,728	male	asian	tl	20-29	26.1	1,920	1,080	49.95	30
47,729	female	white	tl	30-39	9.4	1,920	1,080	36.6	25
47,730	female	asian	tl	20-29	17.9	1,920	1,080	21.67	24
47,731	female	asian	tl	20-29	19.1	1,920	1,080	31.03	30
47,732	male	asian	tl	20-29	108	3,840	2,160	43.64	30
47,733	female	asian	en	20-29	20.6	1,920	1,080	40.32	59.9
47,734	female	asian	en	30-39	8.5	1,920	1,080	21.93	30
47,735	female	asian	en	30-39	20.9	1,920	1,080	59.83	30
47,736	female	black	tl	30-39	50.5	1,920	1,080	69.6	30
47,737	female	black	tl	30-39	22.2	1,920	1,080	24.53	30
47,738	female	white	tl	20-29	34.1	1,920	1,080	44.1	30
47,739	male	white	en	20-29	42.4	3,840	2,160	20.69	24
47,740	male	white	en	20-29	55.1	3,840	2,160	39.41	24
47,741	male	asian	tl	40-49	268.2	3,840	2,160	44.87	60
47,742	female	asian	en	10-19	20	1,920	1,080	34.33	30
47,743	female	asian	en	10-19	25.9	1,920	1,080	43.63	30
47,744	female	asian	en	10-19	45.7	1,920	1,080	74.83	30
47,745	female	asian	en	10-19	20.9	1,920	1,080	32.33	30
47,746	male	asian	en	20-29	63.4	1,920	1,080	78.93	30
47,747	male	asian	en	20-29	33.4	1,920	1,080	41.23	30
47,748	female	asian	tl	20-29	60.2	1,920	1,080	161.13	30
47,749	female	asian	tl	20-29	60.2	1,920	1,080	100.73	30
47,750	female	asian	tl	20-29	24.5	1,920	1,080	37.57	30
47,751	female	asian	tl	20-29	78.1	1,920	1,080	135.37	30
47,752	female	asian	tl	20-29	29.8	1,920	1,080	42.93	30
47,753	female	asian	tl	20-29	19.9	1,920	1,080	30.77	30
47,754	female	asian	tl	20-29	90.1	1,920	1,080	170.13	30
47,755	female	asian	tl	20-29	84.8	1,920	1,080	154.93	30
47,756	female	asian	en	20-29	22.8	1,906	1,080	31.33	30
47,757	female	asian	en	20-29	24	1,906	1,080	68.43	30
47,758	female	asian	en	20-29	15.4	1,906	1,080	58.57	30
47,759	female	asian	en	20-29	7.9	1,906	1,080	36.67	30
47,760	female	asian	en	20-29	11.1	1,906	1,080	34.73	30
47,761	female	asian	en	20-29	8.1	1,906	1,080	32.03	30
47,762	female	asian	en	20-29	9.8	1,906	1,080	37.03	30
47,763	female	asian	en	20-29	11.4	1,906	1,080	32.77	30
47,764	female	asian	en	20-29	41.7	1,906	1,080	83.6	30
47,765	female	black	tl	30-39	25.2	1,920	1,080	35.1	30
47,766	female	asian	en	20-29	30.9	3,840	2,160	33.53	24
47,767	male	asian	tl	20-29	42.6	1,920	1,080	69.33	30
47,768	male	asian	tl	30-39	43.9	1,878	1,080	65.13	30
47,769	male	asian	tl	30-39	44.5	1,878	1,080	67.5	30
47,770	male	asian	tl	30-39	42.6	1,878	1,080	63.33	30
47,771	male	asian	tl	30-39	107.3	1,878	1,080	164.47	30
47,772	male	asian	tl	30-39	52.6	1,878	1,080	87.13	30
47,773	male	asian	tl	20-29	21.3	1,920	1,080	44.43	30
47,774	male	asian	tl	20-29	41.1	1,920	1,080	81.83	30
47,775	male	asian	tl	20-29	17.6	1,920	1,080	34.13	30
47,776	male	asian	tl	20-29	15.9	1,920	1,080	32	30
47,777	male	asian	tl	20-29	18.9	1,920	1,080	39.67	30
47,778	male	asian	tl	20-29	34.3	1,920	1,080	71.73	30
47,779	male	white	en	30-39	33.7	3,840	2,160	33.13	30
47,780	male	asian	tl	20-29	26.5	1,920	1,080	36.33	30
47,781	female	black	tl	30-39	51.1	1,920	1,080	72.63	30
47,782	female	black	tl	30-39	39.5	1,920	1,080	48.2	30
47,783	female	black	tl	30-39	25.6	1,920	1,080	32.93	30
47,784	male	white	tl	10-19	49.8	1,920	1,080	34.03	30
47,785	male	white	tl	10-19	47.2	1,920	1,080	33.63	30
47,786	male	black	en	20-29	31.3	1,920	1,080	36.44	30
47,787	male	black	en	20-29	20.9	1,920	1,080	33.93	30
47,788	male	black	en	20-29	27	1,920	1,080	31.73	30
47,789	male	white	en	40-49	31.8	3,840	2,160	24.86	24
47,790	male	white	en	40-49	38.2	3,840	2,160	25.98	24
47,791	male	white	en	40-49	34.3	3,840	2,160	24.11	24
47,792	male	white	en	40-49	42.6	3,840	2,160	31.74	24
47,793	male	white	en	40-49	46.5	3,840	2,160	34.49	24
47,794	male	white	en	40-49	91.9	3,840	2,160	67.53	24
47,795	male	white	en	40-49	30.8	3,840	2,160	23.98	24
47,796	male	white	en	40-49	45	3,840	2,160	32.91	24
47,797	male	white	en	40-49	65	3,840	2,160	47.17	24
47,798	male	asian	tl	20-29	14.1	1,920	1,080	22.33	30
47,799	female	asian	tl	20-29	29.6	1,920	1,080	36.77	30
47,800	female	asian	tl	20-29	64.7	1,920	1,080	101.03	30
47,801	female	asian	tl	20-29	35.3	1,920	1,080	49.57	30
47,802	female	asian	tl	20-29	30.3	1,920	1,080	43.27	30
47,803	male	asian	tl	20-29	24.2	1,920	1,080	33.7	30
47,804	female	asian	en	10-19	21.5	1,920	1,080	38.64	25

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