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
9,906	male	white	en	30-39	53.5	3,840	2,160	20.27	24
9,907	male	white	en	30-39	33.9	3,840	2,160	30.74	24
9,908	male	white	en	30-39	271.8	3,840	2,160	72.55	60
9,909	male	white	en	30-39	236	3,840	2,160	53.53	60
9,910	male	black	en	40-49	6.3	1,280	720	23.07	59.9
9,911	female	white	en	20-29	9.4	1,920	1,080	28.53	30
9,912	male	white	en	40-49	33.3	3,840	2,160	33.53	24
9,913	male	white	en	40-49	40.5	3,840	2,160	38.29	24
9,914	male	white	en	40-49	23.9	3,840	2,160	24.86	24
9,915	male	white	en	30-39	26.4	3,840	2,160	23.79	24
9,916	male	white	en	20-29	8.9	1,920	1,080	32.6	30
9,917	male	white	en	30-39	46.1	3,840	2,160	21.52	24
9,918	male	white	en	50-59	55.9	3,840	2,160	49.2	25
9,919	male	white	en	50-59	27.6	3,840	2,160	22.44	25
9,920	male	white	en	30-39	35.5	3,840	2,160	28.21	24
9,921	male	asian	en	30-39	34.8	1,920	1,080	145.52	25
9,922	male	asian	en	30-39	10.5	1,920	1,080	45.4	25
9,925	male	white	en	40-49	37	3,840	2,160	20.72	30
9,926	male	white	en	20-29	44.2	3,840	2,160	20.59	30
9,927	male	white	en	30-39	85	3,840	2,160	36.54	30
9,928	male	white	en	30-39	70.4	3,840	2,160	28.13	30
9,929	male	white	en	30-39	97	3,840	2,160	40.97	30
9,930	male	white	en	30-39	77.8	3,840	2,160	31.77	30
9,931	male	white	en	30-39	68.4	3,840	2,160	28.43	30
9,932	female	white	en	20-29	81.1	3,840	2,160	51.05	24
9,933	female	white	en	20-29	26.8	3,840	2,160	20.9	24
9,934	female	white	en	20-29	37.1	3,840	2,160	25.23	24
9,935	male	white	en	30-39	21.1	3,840	2,160	21.59	30
9,936	male	white	en	30-39	27.6	3,840	2,160	26.89	30
9,937	male	white	en	30-39	18.1	3,840	2,160	21.49	30
9,938	male	white	en	30-39	27	3,840	2,160	29.8	30
9,939	male	white	en	30-39	79.8	3,840	2,160	83.32	30
9,940	male	white	en	40-49	27.7	1,920	1,080	55.76	30
9,941	male	white	en	60-69	10	1,920	1,080	21.92	30
9,942	male	white	en	60-69	10.9	1,920	1,080	24.52	30
9,943	male	white	en	60-69	11.3	1,920	1,080	22.99	30
9,944	male	white	en	20-29	57.9	3,840	2,160	27.19	30
9,945	male	white	en	20-29	71.6	3,840	2,160	32.33	30
9,946	male	white	en	20-29	59.5	3,840	2,160	27.59	30
9,947	male	white	en	20-29	146.1	3,840	2,160	127.63	30
9,948	male	white	en	20-29	60.6	3,840	2,160	50.35	30
9,949	male	white	en	20-29	42.5	3,840	2,160	35.1	30
9,950	male	white	en	20-29	28.6	3,840	2,160	26.39	30
9,951	male	indian	en	30-39	202.8	3,840	2,160	90.62	30
9,952	male	indian	en	30-39	99.6	3,840	2,160	43.68	30
9,953	male	white	en	30-39	35.9	3,840	2,160	22.77	24
9,954	male	white	en	30-39	36.2	3,840	2,160	22.27	24
9,955	male	white	en	30-39	44.5	3,840	2,160	26.67	24
9,956	male	white	en	30-39	71.9	3,840	2,160	41.29	24
9,957	male	white	en	40-49	33.9	3,840	2,160	23.11	24
9,958	male	white	en	40-49	33.2	3,840	2,160	20.77	24
9,959	male	white	en	40-49	35.1	3,840	2,160	23.19	24
9,960	male	white	en	30-39	43.8	3,840	2,160	30.36	25
9,961	male	white	en	30-39	29.7	3,840	2,160	21.48	25
9,962	male	white	en	30-39	41.9	3,840	2,160	29.64	25
9,963	male	white	en	30-39	42.9	3,840	2,160	30.72	25
9,964	male	white	en	30-39	33.8	3,840	2,160	25.56	25
9,965	male	white	en	30-39	46.3	3,840	2,160	32.8	25
9,966	male	white	en	30-39	28.8	3,840	2,160	21.64	25
9,967	male	white	en	30-39	34.3	3,840	2,160	24	25
9,968	male	white	en	30-39	31.7	3,840	2,160	21.6	25
9,969	male	white	en	30-39	28.7	3,840	2,160	20.88	25
9,970	male	white	en	30-39	33	3,840	2,160	24.52	25
9,971	male	black	en	30-39	14.1	1,920	1,080	29.4	25
9,972	male	black	en	30-39	15.6	1,920	1,080	36.48	25
9,973	male	black	en	30-39	11.6	1,920	1,080	28.2	25
9,974	male	black	en	30-39	23.4	1,920	1,080	52.68	25
9,975	male	white	en	30-39	181.8	3,840	2,160	52.37	60
9,976	male	white	en	30-39	88	3,840	2,160	46.8	24
9,977	female	black	en	20-29	142.6	3,840	2,160	90.34	24
9,978	female	black	en	20-29	35.1	3,840	2,160	21.77	24
9,979	female	black	en	20-29	44.6	3,840	2,160	28.28	24
9,980	male	white	en	30-39	25.5	3,840	2,160	29.78	24
9,981	male	asian	en	10-19	60.6	3,840	2,160	42.33	30
9,982	male	asian	en	10-19	71.3	3,840	2,160	50.33	30
9,983	male	asian	en	10-19	40.9	3,840	2,160	28.13	30
9,984	male	asian	en	10-19	40.9	3,840	2,160	25.83	30
9,985	male	white	en	30-39	74.6	3,840	2,160	44.93	30
9,986	male	white	en	30-39	39.5	3,840	2,160	22.53	30
9,987	female	white	en	30-39	35.1	3,840	2,160	20.4	25
9,988	female	white	en	30-39	35	3,840	2,160	21.24	25
9,989	female	white	en	30-39	40.2	3,840	2,160	23.64	25
9,990	male	white	en	20-29	26.5	3,840	2,160	24.23	30
9,991	male	white	en	20-29	37.3	3,840	2,160	35.93	30
9,992	male	white	en	20-29	53.9	3,840	2,160	68.77	30
9,993	male	white	en	20-29	62.4	3,840	2,160	63.43	30
9,994	male	white	en	20-29	28.1	3,840	2,160	26.33	30
9,995	male	white	en	20-29	64.2	3,840	2,160	74.03	30
9,996	male	white	en	20-29	26.4	3,840	2,160	22.03	30
9,997	male	white	en	20-29	28.7	3,840	2,160	35.83	30
9,998	male	white	en	40-49	36.1	1,920	1,080	130.88	24
9,999	female	white	en	30-39	354.4	3,840	2,160	178.57	30
10,000	male	white	en	20-29	13.4	1,920	1,080	32.93	30
10,001	male	white	en	20-29	11.6	1,920	1,080	27.69	30
10,002	male	white	en	30-39	76.6	3,840	2,160	29.72	25
10,003	female	white	en	20-29	22.5	1,920	1,080	44.56	50
10,004	male	white	en	30-39	28.5	3,840	2,160	22.73	30
10,005	male	white	en	30-39	28.6	3,840	2,160	23.33	30
10,006	male	white	en	30-39	37.3	3,840	2,160	29.93	30
10,007	male	white	en	30-39	36.2	3,840	2,160	29.03	30

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