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
15,733	male	indian	en	30-39	22.8	1,920	1,080	52.83	30
15,734	male	indian	en	30-39	29.3	1,920	1,080	78.67	30
15,735	male	indian	en	30-39	10	1,920	1,080	27.67	30
15,736	male	indian	en	30-39	21.2	1,920	1,080	52.7	30
15,737	male	indian	en	30-39	23.1	1,920	1,080	58.43	30
15,738	female	white	en	20-29	34.2	3,840	2,160	21.12	25
15,739	male	indian	en	30-39	224.5	3,840	2,160	54.83	30
15,740	male	indian	en	30-39	154.1	3,840	2,160	37.03	30
15,741	male	indian	en	30-39	120.2	3,840	2,160	29.83	30
15,742	male	indian	en	30-39	105.7	3,840	2,160	25.93	30
15,743	male	indian	en	30-39	440.4	3,840	2,160	101.43	30
15,744	male	indian	en	30-39	184	3,840	2,160	42.43	30
15,745	female	black	en	30-39	32.1	1,920	1,080	34.83	30
15,746	female	black	en	30-39	27.9	1,920	1,080	31.33	30
15,747	female	black	en	30-39	28.3	1,920	1,080	26.23	30
15,748	female	black	en	30-39	32.2	1,920	1,080	32.53	30
15,749	female	black	en	30-39	12.8	1,920	1,080	22.23	30
15,750	male	white	en	50-59	77.9	3,840	2,160	31.23	30
15,751	male	white	en	50-59	128.3	3,840	2,160	46.25	30
15,752	male	white	en	50-59	67.7	3,840	2,160	25.43	30
15,753	male	white	en	50-59	176.1	3,840	2,160	30.93	30
15,754	female	black	en	10-19	32.9	3,840	2,160	20.1	24
15,755	female	white	en	20-29	15.2	1,920	1,080	42.61	30
15,756	female	white	en	20-29	12.4	1,920	1,080	38.61	30
15,757	female	white	en	20-29	11.1	1,920	1,080	28.4	30
15,758	female	white	en	20-29	24.4	1,920	1,080	85.49	30
15,759	female	white	en	20-29	21.9	1,920	1,080	70.2	30
15,760	female	white	en	20-29	10.1	1,920	1,080	25.29	30
15,761	female	white	en	20-29	27.3	1,920	1,080	75.14	30
15,762	male	white	en	30-39	62.3	3,840	2,160	31.68	25
15,763	male	white	en	30-39	38.5	3,840	2,160	21.88	25
15,764	female	white	en	30-39	15.9	1,920	1,080	30.5	30
15,765	female	white	en	30-39	20.8	1,920	1,080	42.34	30
15,766	male	white	en	30-39	36.5	3,840	2,160	20.3	30
15,767	male	white	en	30-39	63.9	3,840	2,160	26.86	30
15,768	male	white	en	30-39	72.3	3,840	2,160	32.23	30
15,769	male	white	en	30-39	26.4	3,840	2,160	20.65	24
15,770	male	white	en	30-39	27.9	3,840	2,160	22.06	24
15,771	male	white	en	30-39	32.4	3,840	2,160	22.23	24
15,772	male	asian	en	20-29	96.1	3,840	2,160	67.13	30
15,773	male	asian	en	20-29	28.1	3,840	2,160	26.23	30
15,774	male	asian	en	20-29	31.8	3,840	2,160	23.43	30
15,775	female	white	en	30-39	24.8	1,920	1,080	50.24	25
15,776	male	white	en	30-39	85.5	3,840	2,160	33.42	60
15,777	female	white	en	40-49	25.3	1,920	1,080	39.34	30
15,778	female	white	en	40-49	19.9	1,920	1,080	30	30
15,779	female	white	en	40-49	63.5	1,920	1,080	100.57	30
15,780	female	white	en	40-49	42	1,920	1,080	69.97	30
15,781	female	white	en	40-49	16.8	1,920	1,080	29.3	30
15,782	male	white	en	20-29	8.3	1,920	1,080	29.8	30
15,783	male	white	en	40-49	66.5	3,840	2,160	33.83	30
15,784	male	white	en	40-49	44.4	3,840	2,160	23.46	30
15,785	male	white	en	40-49	59.8	3,840	2,160	33.2	30
15,786	male	white	en	20-29	33.7	1,920	1,080	44.84	30
15,787	female	white	en	20-29	56.2	3,840	2,160	25.33	30
15,788	female	white	en	20-29	84.9	3,840	2,160	39.04	30
15,789	female	white	en	20-29	196.1	3,840	2,160	91.39	30
15,790	female	white	en	20-29	69	3,840	2,160	35.54	30
15,791	male	white	en	30-39	145.8	1,920	1,080	178.52	25
15,792	male	white	en	30-39	16	1,920	1,080	24.84	25
15,793	male	black	en	30-39	158.5	3,840	2,160	46.2	59.9
15,794	male	black	en	30-39	179.9	3,840	2,160	64.2	59.9
15,795	male	black	en	30-39	105.4	3,840	2,160	39.09	59.9
15,796	male	white	en	20-29	96	3,840	2,160	33.13	30
15,797	male	white	en	20-29	9.1	1,920	1,080	24.2	25
15,798	male	white	en	20-29	11.2	1,920	1,080	30.36	25
15,799	male	white	en	20-29	11.5	1,920	1,080	30.32	25
15,800	male	white	en	30-39	130.8	3,840	2,160	121.87	24
15,801	male	white	en	30-39	114.8	3,840	2,160	103.35	24
15,802	male	white	en	40-49	58.5	3,840	2,160	48.88	24
15,803	male	white	en	30-39	29.3	1,920	1,080	89.93	30
15,804	male	white	en	30-39	7.9	1,920	1,080	25.17	30
15,805	male	white	en	30-39	56	1,920	1,080	178.2	30
15,806	male	white	en	50-59	282	3,840	2,160	140.06	24
15,807	male	white	en	50-59	189.1	3,840	2,160	104.31	24
15,808	male	asian	en	40-49	95.9	1,920	1,080	85.02	30
15,809	female	asian	en	20-29	118.8	1,920	1,080	166.57	30
15,810	male	white	en	40-49	63.5	3,840	2,160	43.59	24
15,811	male	asian	en	20-29	43.5	3,840	2,160	38.93	30
15,812	male	asian	en	20-29	55.8	3,840	2,160	47.33	30
15,813	male	white	en	20-29	59.4	3,840	2,160	21.78	60
15,814	male	white	en	20-29	136.7	3,840	2,160	50.23	60
15,815	male	white	en	20-29	21.5	3,840	2,160	20.39	30
15,816	male	white	en	20-29	26.1	3,840	2,160	23.59	30
15,817	male	white	en	20-29	24	3,840	2,160	24.19	30
15,818	male	white	en	20-29	26.9	3,840	2,160	26.99	30
15,819	male	white	en	20-29	31.1	3,840	2,160	31.7	30
15,820	male	white	en	20-29	23.2	3,840	2,160	23.12	30
15,821	male	white	en	50-59	43	3,840	2,160	27.73	30
15,822	male	white	en	50-59	34.2	3,840	2,160	23.39	30
15,823	male	white	en	50-59	72	3,840	2,160	47.05	30
15,824	male	white	en	50-59	45.2	3,840	2,160	28.33	30
15,825	female	white	en	20-29	234.5	3,840	2,160	56.08	60
15,826	female	white	en	20-29	107.2	3,840	2,160	25.57	60
15,827	female	white	en	20-29	99.3	3,840	2,160	23.32	60
15,828	female	white	en	20-29	95.1	3,840	2,160	23.92	60
15,829	female	white	en	20-29	147.1	3,840	2,160	37.32	60
15,830	female	white	en	20-29	110.8	3,840	2,160	27.42	60
15,831	female	white	en	20-29	207.7	3,840	2,160	46.77	60
15,832	female	white	en	20-29	94.4	3,840	2,160	20.27	60

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