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
14,931	male	white	en	30-39	64.6	1,920	1,080	115.22	59.9
14,932	male	white	en	30-39	29.5	1,920	1,080	53.8	59.9
14,933	male	white	en	30-39	16.9	1,920	1,080	28.48	59.9
14,934	male	white	en	30-39	69.5	1,920	1,080	129.98	59.9
14,935	male	white	en	30-39	24.7	1,920	1,080	42.81	59.9
14,936	male	white	en	40-49	160.4	3,840	2,160	59.99	30
14,937	male	white	en	30-39	106	3,840	2,160	52.01	24
14,938	male	white	en	30-39	94.2	3,840	2,160	46.38	24
14,939	female	white	en	20-29	19.1	1,920	1,080	20.69	30
14,940	male	white	en	20-29	53.1	3,840	2,160	33.84	25
14,941	male	white	en	20-29	38.2	3,840	2,160	24.6	25
14,942	male	white	en	20-29	39.3	3,840	2,160	23.04	25
14,943	male	asian	en	20-29	125.2	3,840	2,160	44.44	30
14,944	male	asian	en	20-29	101.2	3,840	2,160	35.34	30
14,945	male	asian	en	20-29	80.1	3,840	2,160	28.53	30
14,946	male	white	en	20-29	65.8	3,840	2,160	48.21	30
14,947	male	white	en	20-29	35.4	3,840	2,160	26.19	30
14,948	male	white	en	20-29	51.1	3,840	2,160	38.71	30
14,949	male	white	en	20-29	43.1	3,840	2,160	32.4	30
14,950	male	white	en	20-29	53.5	3,840	2,160	40.21	30
14,951	male	white	en	20-29	39.3	3,840	2,160	29.3	30
14,952	male	white	en	20-29	55.5	3,840	2,160	41.51	30
14,953	female	asian	en	20-29	32.5	3,840	2,160	29.88	25
14,954	female	asian	en	20-29	31.1	3,840	2,160	29.32	25
14,955	male	white	en	30-39	64.1	3,840	2,160	44.38	24
14,956	male	white	en	30-39	75	3,840	2,160	48.05	24
14,957	male	white	en	30-39	8.4	1,920	1,080	23.9	30
14,958	male	white	en	30-39	9	1,920	1,080	28.9	30
14,959	male	white	en	30-39	13.1	1,920	1,080	38.4	30
14,960	male	white	en	30-39	61.4	3,840	2,160	66.8	30
14,961	male	white	en	30-39	34.1	3,840	2,160	29.17	24
14,962	male	white	en	30-39	36.3	3,840	2,160	29.04	24
14,963	male	white	en	30-39	35.9	3,840	2,160	29.42	24
14,964	male	white	en	30-39	29.5	3,840	2,160	30.79	24
14,965	male	white	en	30-39	20.8	3,840	2,160	20.04	24
14,966	male	white	en	30-39	32.2	3,840	2,160	21.04	24
14,967	male	white	en	50-59	47.6	3,840	2,160	25.04	24
14,968	male	white	en	50-59	72.7	3,840	2,160	40.17	24
14,969	male	white	en	30-39	114.7	3,840	2,160	37.16	24
14,970	female	white	en	30-39	13.6	1,920	1,080	32.13	30
14,971	female	white	en	30-39	13.2	1,920	1,080	27.53	30
14,972	male	black	en	30-39	97.4	3,840	2,160	45.75	24
14,973	male	black	en	30-39	45.1	3,840	2,160	21.15	24
14,974	male	black	en	30-39	74.8	3,840	2,160	34.41	24
14,975	male	black	en	30-39	59.8	3,840	2,160	28.11	24
14,976	male	white	en	30-39	11.4	1,920	1,080	24.16	25
14,977	male	white	en	30-39	9.4	1,920	1,080	21.92	25
14,978	male	white	en	20-29	131.2	3,840	2,160	56.43	24
14,979	male	white	en	20-29	93.7	3,840	2,160	40.46	24
14,980	male	white	en	20-29	102.2	3,840	2,160	43.54	24
14,981	male	white	en	20-29	202.5	3,840	2,160	87.96	24
14,982	male	white	en	20-29	89.7	3,840	2,160	36.7	24
14,983	female	white	en	40-49	48	3,840	2,160	33.12	24
14,984	female	white	en	40-49	67.7	3,840	2,160	43.75	24
14,985	male	asian	en	40-49	18.6	1,920	1,080	37.79	24
14,986	male	asian	en	40-49	21.7	1,920	1,080	45.88	24
14,987	male	asian	en	40-49	24.6	1,920	1,080	41.92	24
14,988	male	asian	en	40-49	21.3	1,920	1,080	47.54	24
14,989	male	asian	en	40-49	37.2	1,920	1,080	72.08	24
14,990	male	asian	id	20-29	26.7	3,840	2,160	24.84	25
14,991	male	asian	id	20-29	41.6	3,840	2,160	37.2	25
14,992	male	white	en	30-39	45.6	3,840	2,160	28.9	24
14,993	male	white	en	30-39	45.1	3,840	2,160	20.39	30
14,994	male	black	en	30-39	108.2	3,840	2,160	43.33	30
14,995	male	black	en	30-39	91.2	3,840	2,160	36.93	30
14,996	male	black	en	30-39	252.3	3,840	2,160	103.03	30
14,997	male	asian	en	40-49	12.2	1,920	1,080	38.03	30
14,998	male	asian	en	40-49	27	1,920	1,080	77.13	30
14,999	male	asian	en	40-49	9.2	1,920	1,080	25.93	30
15,000	male	asian	en	40-49	7.5	1,920	1,080	20.53	30
15,001	male	asian	en	40-49	12.1	1,920	1,080	33.43	30
15,002	male	white	en	30-39	64.8	3,840	2,160	25.13	30
15,003	male	white	en	30-39	136.1	3,840	2,160	56.53	30
15,004	male	white	en	30-39	76.2	3,840	2,160	29.23	30
15,005	male	white	en	30-39	69.3	3,840	2,160	27.73	30
15,006	male	white	en	30-39	72.6	3,840	2,160	30.8	30
15,007	male	white	en	30-39	141	3,840	2,160	62.23	30
15,008	female	asian	en	20-29	14.2	1,920	1,080	25.19	30
15,009	female	asian	en	20-29	28.8	1,920	1,080	58.06	30
15,010	female	asian	en	20-29	13.9	1,920	1,080	23.56	30
15,011	female	asian	en	20-29	20.1	1,920	1,080	35.1	30
15,012	female	asian	en	20-29	15.2	1,920	1,080	30.36	30
15,013	female	asian	en	20-29	16.4	1,920	1,080	27.89	30
22,514	female	asian	zh-tw	20-29	35.1	3,840	2,160	21.72	30
15,015	male	white	en	30-39	163.9	3,840	2,160	145.45	30
15,016	male	white	en	30-39	23.1	3,840	2,160	23.29	30
15,017	male	white	en	30-39	43.5	3,840	2,160	41.04	30
15,018	male	asian	en	20-29	33.6	3,840	2,160	37.12	24
15,019	male	asian	en	20-29	25	3,840	2,160	24.77	24
15,020	male	asian	en	20-29	77.2	3,840	2,160	80.91	24
15,021	male	asian	en	20-29	38.8	3,840	2,160	40.87	24
15,022	male	asian	en	20-29	52.1	3,840	2,160	52.18	24
15,023	male	asian	en	20-29	78.3	3,840	2,160	88.92	24
15,024	male	asian	en	20-29	52.4	3,840	2,160	57.27	24
15,025	male	white	en	30-39	33.4	3,840	2,160	40.29	24
15,026	male	white	en	30-39	16.5	3,840	2,160	20.19	24
15,027	male	white	en	30-39	24.8	3,840	2,160	28.86	24
15,028	male	white	en	30-39	22.9	3,840	2,160	30.78	24
15,029	male	white	en	30-39	24	3,840	2,160	28.32	24
15,030	male	white	en	30-39	23.7	3,840	2,160	27.36	24

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