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
11,910	male	white	en	20-29	23.2	1,920	1,080	34.53	30
11,911	male	white	en	10-19	51	3,840	2,160	38.87	24
11,912	female	white	en	30-39	40.8	3,840	2,160	32.03	24
11,913	female	white	en	30-39	69.5	3,840	2,160	54.43	24
11,914	female	white	en	30-39	47.1	3,840	2,160	36.04	24
11,915	female	white	en	30-39	32.3	3,840	2,160	24.02	24
11,916	female	white	en	30-39	40.2	3,840	2,160	27.82	24
11,917	female	white	en	30-39	27.3	3,840	2,160	22.94	24
11,918	female	white	en	30-39	53.8	3,840	2,160	38.16	24
11,919	male	black	en	40-49	47.6	2,560	1,440	47	30
11,920	female	white	en	20-29	119.9	1,920	1,080	117.72	59.9
11,921	female	white	en	20-29	27.9	1,920	1,080	22.97	59.9
13,167	male	white	en	30-39	32.9	3,840	2,160	22.27	24
11,923	male	white	en	30-39	219.4	3,840	2,160	60.19	24
11,924	male	white	en	30-39	413.5	3,840	2,160	128.63	24
11,925	male	white	en	30-39	9.9	1,920	1,080	20.19	30
11,926	male	white	en	30-39	22.9	1,920	1,080	49.82	30
11,927	male	white	en	30-39	21.9	1,920	1,080	38.03	60
11,928	male	white	en	40-49	36	3,840	2,160	21.92	24
13,168	female	white	en	20-29	16.7	1,920	1,080	33.62	24
11,930	male	white	en	30-39	8.8	1,920	1,080	33.53	30
11,931	male	white	en	30-39	6	1,920	1,080	22.63	30
11,932	male	black	en	30-39	141.8	3,840	2,160	64.5	30
11,933	female	white	en	20-29	22.5	1,920	1,080	60.63	30
11,934	female	asian	en	20-29	27.7	3,840	2,160	20.32	60
11,935	female	asian	en	20-29	27.5	3,840	2,160	21.12	60
11,936	male	white	en	30-39	20.9	1,920	1,080	23.39	30
11,937	male	white	en	20-29	108.1	3,840	2,160	79.44	25
11,938	male	white	en	20-29	162	3,840	2,160	124.32	25
11,939	male	white	en	30-39	61.2	3,840	2,160	55.68	25
11,940	male	white	en	30-39	18.3	3,840	2,160	20.64	25
11,941	male	white	en	20-29	22.7	3,840	2,160	30.28	24
11,942	male	white	en	20-29	26.2	3,840	2,160	33.32	24
11,943	male	white	en	20-29	24.5	3,840	2,160	32.32	24
11,944	male	white	en	20-29	31.9	3,840	2,160	44.71	24
11,945	male	white	en	20-29	36.2	3,840	2,160	49.22	24
11,946	male	white	en	20-29	49.7	3,840	2,160	24.59	30
11,947	female	white	en	20-29	283.2	3,840	2,160	178.37	30
11,948	male	white	en	40-49	12.2	1,280	720	26.33	30
11,949	male	asian	en	20-29	16.4	1,920	1,080	43.84	30
11,950	male	asian	en	20-29	25	3,840	2,160	25.93	30
11,951	male	asian	en	20-29	29.8	3,840	2,160	34.53	30
11,952	male	asian	en	20-29	36.2	3,840	2,160	38.2	30
11,953	female	white	en	20-29	19	1,920	1,080	48.01	30
11,954	female	white	en	20-29	10.7	1,920	1,080	28.13	30
11,955	female	white	en	20-29	11.8	1,920	1,080	33.2	30
11,956	female	white	en	20-29	22.8	1,920	1,080	56.36	30
11,957	female	white	en	20-29	48.3	3,840	2,160	22.89	30
11,958	female	white	en	20-29	115.9	3,840	2,160	54.12	30
11,959	female	white	en	20-29	61.9	3,840	2,160	24.62	30
11,960	female	white	en	20-29	49.1	3,840	2,160	22.89	30
11,961	female	white	en	20-29	79.7	3,840	2,160	35.24	30
11,962	female	white	en	20-29	79	3,840	2,160	32.4	30
11,963	female	white	en	20-29	40.3	3,840	2,160	20.79	30
11,964	female	white	en	20-29	72.2	3,840	2,160	37.1	30
11,965	female	white	en	20-29	86	3,840	2,160	50.05	30
11,966	female	white	en	20-29	32.7	3,840	2,160	29.4	25
11,967	male	white	en	20-29	69.1	1,920	1,080	176.64	30
11,968	male	white	en	40-49	25	1,920	1,080	37.63	30
11,969	male	asian	en	30-39	29.2	3,840	2,160	22.98	24
11,970	female	white	en	20-29	12.7	1,920	1,080	39.84	30
11,971	female	white	en	20-29	14.7	1,920	1,080	48.95	30
11,972	female	white	en	20-29	14.6	1,920	1,080	45.75	30
11,973	female	white	en	20-29	6.6	1,920	1,080	22.02	30
11,974	female	white	en	20-29	9.7	1,920	1,080	32.73	30
11,975	female	white	en	20-29	11	1,920	1,080	35.4	30
11,976	female	white	en	20-29	7.4	1,920	1,080	23.82	30
11,977	female	white	en	20-29	15.6	1,920	1,080	50.92	30
11,978	female	white	en	20-29	20.1	1,920	1,080	62.2	30
11,979	male	asian	en	10-19	9.2	1,920	1,080	25.63	30
11,980	male	asian	en	10-19	7.8	1,920	1,080	23.39	30
11,981	male	asian	en	10-19	9.9	1,920	1,080	26.53	30
11,982	male	asian	en	10-19	8.2	1,920	1,080	24.06	30
11,983	male	white	en	30-39	43	3,840	2,160	28.08	25
11,984	male	white	en	30-39	107.7	3,840	2,160	73.56	25
11,985	female	asian	en	20-29	99.9	1,920	1,080	173.57	30
11,986	female	asian	en	20-29	18.9	1,920	1,080	33.83	30
11,987	male	white	en	30-39	189.5	3,840	2,160	64.72	60
11,988	female	white	en	20-29	41.4	3,840	2,160	22.02	24
11,989	male	white	en	30-39	52.5	3,840	2,160	22.9	24
11,990	female	white	en	30-39	45.9	2,560	1,440	47.62	60
11,991	male	white	en	50-59	121.5	3,840	2,160	65.67	30
11,992	female	white	en	30-39	21.9	1,920	1,080	23.36	30
11,993	male	black	en	30-39	5.3	1,920	1,080	21.89	30
11,994	male	black	en	30-39	13.5	1,920	1,080	51.15	30
11,995	male	black	en	30-39	4.8	1,920	1,080	23.89	30
11,996	male	asian	en	30-39	11.9	1,920	1,080	21.53	30
11,997	male	asian	en	30-39	9.7	1,920	1,080	20.27	30
11,998	male	white	en	30-39	47	3,840	2,160	31.97	30
11,999	male	white	en	30-39	250.8	3,840	2,160	47.61	30
12,000	male	white	en	30-39	347	3,840	2,160	64.43	30
12,001	male	white	en	30-39	314.1	3,840	2,160	53.72	30
12,002	male	white	en	30-39	151.9	3,840	2,160	23.39	30
12,003	male	white	en	30-39	275.6	3,840	2,160	24.82	30
12,004	male	white	en	30-39	17.9	1,920	1,080	55.52	30
12,005	male	white	en	40-49	53.9	3,840	2,160	27.36	24
12,006	male	white	en	40-49	44.7	3,840	2,160	22.65	24
12,007	male	white	en	40-49	74.2	3,840	2,160	40.42	24
12,008	male	white	en	30-39	55	3,840	2,160	21.36	25
12,009	female	white	en	30-39	7.5	1,920	1,080	20.5	30

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