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
15,933	male	white	en	40-49	37.4	1,920	1,080	176.91	30
15,934	male	white	en	50-59	17.7	1,920	1,080	47.03	30
15,935	male	white	en	50-59	16.4	1,920	1,080	45.83	30
15,936	male	white	en	50-59	7.9	1,920	1,080	20.83	30
15,937	male	white	en	50-59	8.8	1,920	1,080	24.73	30
15,938	male	white	en	50-59	13	1,920	1,080	35.23	30
15,939	male	white	en	50-59	11	1,920	1,080	32.03	30
15,940	male	white	en	50-59	7.7	1,920	1,080	23.23	30
15,941	male	white	en	50-59	12.8	1,920	1,080	34.03	30
15,942	male	white	en	50-59	7.5	1,920	1,080	20.23	30
15,943	male	white	en	30-39	59.4	3,840	2,160	39.42	24
15,944	male	white	en	30-39	125.7	3,840	2,160	84.67	24
15,945	male	white	en	30-39	45.2	3,840	2,160	29.54	24
15,946	male	white	en	30-39	142.2	3,840	2,160	95.04	24
15,947	male	indian	en	20-29	77.7	3,840	2,160	35.66	24
15,948	male	indian	en	20-29	172.7	3,840	2,160	86.34	24
15,949	male	indian	en	20-29	61.2	3,840	2,160	30.66	24
15,950	male	indian	en	20-29	79.4	3,840	2,160	40.04	24
15,951	male	indian	en	20-29	44.2	3,840	2,160	20.35	24
15,952	male	indian	en	20-29	125.4	3,840	2,160	59.52	24
15,953	male	indian	en	20-29	81.9	3,840	2,160	41.04	24
15,954	male	white	en	20-29	195.6	3,840	2,160	177.84	25
15,955	male	white	en	20-29	70	3,840	2,160	66.64	25
15,956	male	white	en	20-29	21.1	3,840	2,160	26.04	25
15,957	male	white	en	20-29	42.9	3,840	2,160	38.28	25
15,958	male	white	en	20-29	36.6	3,840	2,160	39.72	25
15,959	male	white	en	20-29	59.9	3,840	2,160	55.56	25
15,960	male	white	en	20-29	45.4	3,840	2,160	47.56	25
15,961	male	white	en	20-29	40.3	3,840	2,160	39.12	25
15,962	male	white	en	30-39	55	3,840	2,160	50.62	24
15,963	male	white	en	30-39	28.4	1,920	1,080	96.96	30
15,964	male	white	en	30-39	50.5	1,920	1,080	165.67	30
15,965	male	white	en	40-49	18.3	1,920	1,080	31.65	59.9
15,966	male	white	en	40-49	14.9	1,920	1,080	26.56	59.9
15,967	male	white	en	30-39	38.8	3,840	2,160	20.85	30
15,968	male	white	en	30-39	77.6	3,840	2,160	45.55	30
15,969	male	white	en	30-39	26.9	3,840	2,160	28.4	24
15,970	male	white	en	30-39	42.2	3,840	2,160	36.04	24
15,971	male	white	en	30-39	31	3,840	2,160	23.52	24
15,972	male	asian	en	20-29	29.9	3,840	2,160	22.48	24
15,973	male	white	en	30-39	72.8	3,840	2,160	50.63	24
15,974	male	white	en	30-39	38.5	3,840	2,160	25.9	24
15,975	male	white	en	30-39	43.2	3,840	2,160	28.74	24
15,976	male	white	en	30-39	32.4	3,840	2,160	22.02	24
15,978	male	white	en	30-39	37.8	3,840	2,160	25.9	24
15,979	male	white	en	30-39	32.7	3,840	2,160	23.06	24
15,980	female	white	en	20-29	47.4	3,840	2,160	22.56	24
15,981	female	white	en	20-29	48.8	3,840	2,160	22.11	24
15,982	female	white	en	20-29	103.2	3,840	2,160	49.38	24
15,983	female	white	en	20-29	77.1	3,840	2,160	36.7	24
15,984	female	white	en	20-29	48.8	3,840	2,160	23.48	24
15,985	female	white	en	20-29	127.3	3,840	2,160	59.89	24
15,986	female	white	en	20-29	125.8	3,840	2,160	57.68	24
15,987	female	white	en	20-29	51.1	3,840	2,160	23.48	24
15,988	male	white	en	30-39	32.3	3,840	2,160	21.59	30
15,989	male	white	en	20-29	46.8	3,840	2,160	20.82	30
15,990	male	white	en	20-29	29.7	3,840	2,160	21.09	30
15,991	male	white	en	20-29	22.9	3,840	2,160	20.09	30
15,993	male	asian	en	10-19	30.2	1,920	1,080	36.93	30
15,994	male	asian	en	10-19	53.2	1,920	1,080	42.53	30
15,995	male	white	en	30-39	56.1	3,840	2,160	51.48	25
15,996	male	white	en	30-39	32.3	3,840	2,160	25.56	25
15,997	female	white	en	20-29	10.8	1,920	1,080	20.23	24
15,998	female	white	en	20-29	11.6	1,920	1,080	26.36	24
15,999	female	white	en	20-29	11.4	1,920	1,080	25.73	24
16,000	female	white	en	20-29	10.5	1,920	1,080	26.74	24
16,001	female	white	en	20-29	35	1,920	1,080	85.46	24
16,002	female	white	en	20-29	18.4	1,920	1,080	42.79	24
16,003	male	white	en	30-39	21.8	3,840	2,160	27.36	24
16,004	male	white	en	30-39	21.9	3,840	2,160	30.86	24
16,005	male	black	en	20-29	23.3	3,840	2,160	20.48	24
16,006	male	black	en	20-29	41.5	3,840	2,160	29.78	24
16,007	male	black	en	20-29	31.1	3,840	2,160	22.77	24
16,008	male	black	en	20-29	35.7	3,840	2,160	28.03	24
16,009	male	black	en	20-29	30.7	3,840	2,160	26.99	24
16,010	male	black	en	20-29	38.3	3,840	2,160	31.57	24
16,011	male	white	en	20-29	62.2	3,840	2,160	24.67	24
16,012	male	white	en	30-39	40	3,840	2,160	21.73	24
16,013	male	white	en	30-39	59.4	3,840	2,160	33.87	24
16,014	male	white	en	30-39	71.3	3,840	2,160	40.87	24
16,015	male	white	en	30-39	39.7	3,840	2,160	21.23	24
16,016	female	asian	en	20-29	27.7	1,920	1,080	78.58	24
16,017	female	asian	en	20-29	27.8	1,920	1,080	81.66	24
16,018	female	asian	en	20-29	19.7	1,920	1,080	52.8	24
16,019	male	white	en	20-29	52.4	3,840	2,160	33.2	50
16,020	male	white	en	20-29	68.6	3,840	2,160	48.32	50
16,021	male	white	en	20-29	31.9	3,840	2,160	22.76	50
16,022	male	white	en	20-29	55.6	3,840	2,160	38.24	50
16,023	male	white	en	30-39	15.2	1,920	1,080	29.63	30
16,024	female	white	en	20-29	9.6	1,920	1,080	22.4	24
16,025	male	asian	en	30-39	85.2	3,840	2,160	39.37	24
16,026	male	asian	en	30-39	67.2	3,840	2,160	31.49	24
16,027	female	white	en	30-39	8.4	1,920	1,080	26.15	24
16,028	female	white	en	30-39	8.9	1,920	1,080	28.7	24
16,029	male	white	en	20-29	90	3,840	2,160	29.65	60
16,030	male	white	en	20-29	108.2	3,840	2,160	37.97	60
16,031	male	white	en	20-29	93.4	3,840	2,160	27.57	60
16,032	male	indian	en	20-29	39.8	3,840	2,160	30.5	30
16,033	male	indian	en	20-29	40.1	3,840	2,160	30.7	30
16,034	male	indian	en	20-29	46.5	3,840	2,160	32.1	30

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