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
16,935	male	black	en	20-29	33.9	1,920	1,080	87.17	24
16,936	male	black	en	20-29	14	1,920	1,080	39.04	24
16,937	male	black	en	20-29	47	1,920	1,080	128.67	24
16,938	male	asian	en	20-29	6.1	1,920	1,080	21.48	25
16,939	male	white	en	30-39	45.4	3,840	2,160	21.48	25
16,940	male	white	en	30-39	56.7	3,840	2,160	28.32	25
16,941	male	white	en	30-39	63.3	3,840	2,160	30.24	25
16,942	male	white	en	30-39	109.4	3,840	2,160	53.16	25
16,943	female	white	en	20-29	36	1,920	1,080	90.47	30
16,944	female	white	en	20-29	44.4	1,920	1,080	91.93	30
16,945	male	white	en	60-69	60.1	1,920	1,080	172.14	30
16,946	male	white	en	30-39	37.1	3,840	2,160	24.65	24
16,947	male	white	en	30-39	16.2	1,920	1,080	25.53	59.9
16,948	male	black	en	20-29	161.2	3,840	2,160	47.31	30
16,949	male	black	en	20-29	173	3,840	2,160	69.24	30
16,950	male	black	en	20-29	396.9	3,840	2,160	92.36	30
16,951	male	white	en	30-39	8.7	1,920	1,080	21.9	30
16,952	male	white	en	30-39	68.8	1,920	1,080	178.17	30
16,953	male	white	en	30-39	25.4	1,920	1,080	91.03	30
16,954	male	white	en	20-29	34.8	3,840	2,160	21.42	30
16,955	male	white	en	30-39	50.3	3,840	2,160	25.67	24
16,956	male	white	en	30-39	77.9	3,840	2,160	36.79	24
16,957	male	white	en	30-39	126.5	3,840	2,160	66.69	24
16,958	male	white	en	30-39	314.8	3,840	2,160	170.21	24
16,959	female	white	en	20-29	50.4	3,840	2,160	30.72	25
16,960	female	white	en	20-29	28.4	1,920	1,080	31.3	30
16,961	male	white	en	40-49	62	3,840	2,160	21.48	24
16,962	male	white	en	40-49	56.3	3,840	2,160	20.98	24
16,963	male	white	en	30-39	34.6	3,840	2,160	28.2	25
16,964	male	white	en	30-39	25.4	3,840	2,160	26.29	30
16,965	female	white	mr	20-29	23.9	1,920	1,080	23.52	59.9
16,966	male	indian	en	30-39	39.3	3,840	2,160	24.48	25
16,967	male	indian	en	30-39	35.5	3,840	2,160	24.28	25
16,968	male	indian	en	30-39	51	3,840	2,160	34	25
16,969	male	indian	en	30-39	74.4	3,840	2,160	46.44	25
16,970	male	indian	en	30-39	45	3,840	2,160	25.68	25
16,971	male	indian	en	30-39	44.2	3,840	2,160	28.92	25
16,972	male	indian	en	30-39	31.9	3,840	2,160	20.56	25
16,973	male	indian	en	30-39	58.1	3,840	2,160	35.88	25
16,974	male	white	en	40-49	32	3,840	2,160	23.12	30
16,975	male	white	en	40-49	36.4	3,840	2,160	27.66	30
16,976	male	white	en	40-49	55.1	3,840	2,160	41.07	30
16,977	male	white	en	40-49	31	3,840	2,160	21.82	30
16,978	male	white	en	40-49	28.1	3,840	2,160	21.35	30
16,979	male	white	en	40-49	43.5	3,840	2,160	32.57	30
16,980	male	white	en	40-49	100.8	3,840	2,160	75.41	30
16,981	male	white	en	40-49	31.1	3,840	2,160	25.39	30
16,982	male	white	en	20-29	18.5	1,920	1,080	53.05	24
16,983	male	white	en	20-29	35.2	1,920	1,080	48.42	24
16,984	male	white	en	20-29	33.4	1,920	1,080	39.21	24
16,985	male	white	en	20-29	47.5	1,920	1,080	58.22	24
16,986	male	white	en	20-29	40.5	1,920	1,080	48.09	24
16,987	female	white	en	20-29	95.6	1,920	1,080	178.17	30
16,988	female	white	en	20-29	87	1,920	1,080	170.47	30
16,989	female	white	en	20-29	40.4	1,920	1,080	85.53	30
16,990	male	white	en	30-39	72.9	3,840	2,160	60.32	60
16,991	male	white	en	30-39	99.5	3,840	2,160	86.22	60
16,992	male	white	en	30-39	76	3,840	2,160	64.56	30
16,993	male	white	en	30-39	26.9	3,840	2,160	25.49	30
16,994	male	white	en	30-39	59	3,840	2,160	51.85	30
16,995	male	white	en	30-39	38.5	3,840	2,160	31.7	30
16,996	male	white	en	30-39	21.5	3,840	2,160	20.55	30
16,997	male	white	en	30-39	33.1	3,840	2,160	32.63	30
16,998	male	white	en	30-39	24.1	3,840	2,160	26.29	30
16,999	male	white	en	30-39	21.4	3,840	2,160	22.69	30
17,000	male	white	en	30-39	36.8	3,840	2,160	36.94	30
17,001	male	white	en	30-39	36.6	3,840	2,160	35.4	30
17,002	male	white	en	30-39	13.7	1,920	1,080	30.36	25
17,003	male	white	en	30-39	9.7	1,920	1,080	22.32	25
17,004	male	white	en	30-39	71.5	3,840	2,160	40.41	30
17,005	male	white	en	30-39	202.8	3,840	2,160	111.21	30
17,006	male	white	en	30-39	102.5	3,840	2,160	59.29	30
17,007	male	white	en	30-39	70.3	3,840	2,160	36.24	30
17,008	male	white	en	30-39	181.3	3,840	2,160	102.74	30
17,009	male	white	en	30-39	60.5	3,840	2,160	44.17	24
17,010	female	white	en	40-49	128.5	3,840	2,160	46.98	30
17,011	female	white	en	40-49	64.3	3,840	2,160	24.29	30
17,012	male	white	en	20-29	198.6	3,840	2,160	75.63	30
17,013	male	white	en	20-29	63.2	3,840	2,160	32.83	30
17,014	male	white	en	50-59	65.3	3,840	2,160	58.89	24
17,015	male	white	en	50-59	33.9	3,840	2,160	29.86	24
17,016	male	white	en	30-39	352.5	3,840	2,160	93.43	30
17,017	male	white	en	30-39	412.6	3,840	2,160	85.69	30
17,018	male	white	en	30-39	327.2	3,840	2,160	44.91	30
17,019	female	black	en	20-29	17.4	1,920	1,080	44.08	30
17,020	female	black	en	20-29	26.1	1,920	1,080	55.05	30
17,021	female	black	en	20-29	19.9	1,920	1,080	38.91	30
17,022	female	black	en	20-29	12	1,920	1,080	23.09	30
17,023	female	black	en	20-29	11.9	1,920	1,080	23.26	30
17,024	female	black	en	20-29	38.2	1,920	1,080	72.64	30
17,025	male	asian	en	40-49	133.7	3,840	2,160	48.03	30
17,026	male	asian	en	40-49	266.2	3,840	2,160	99.33	30
17,027	male	white	en	30-39	21.3	3,840	2,160	22.16	25
17,028	female	white	en	20-29	23.1	1,920	1,080	47.81	30
17,029	female	white	en	20-29	89.5	1,920	1,080	178.55	30
17,030	female	white	en	40-49	10.7	1,920	1,080	34.44	25
17,031	female	white	en	40-49	22.1	1,920	1,080	68.88	25
17,032	female	white	en	40-49	10.3	1,920	1,080	34.6	25
17,033	female	white	en	40-49	12.4	1,920	1,080	39.84	25
17,034	female	asian	en	20-29	60	3,840	2,160	50.28	60

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