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
10,008	male	white	en	30-39	195.1	3,840	2,160	68.03	30
10,009	male	white	en	30-39	110	3,840	2,160	62.6	24
10,010	male	white	en	30-39	69.2	3,840	2,160	39.41	24
10,011	male	asian	en	20-29	9.3	1,920	1,080	32.4	30
10,012	male	asian	en	20-29	10.4	1,920	1,080	33.7	30
10,013	male	asian	en	20-29	9.5	1,920	1,080	28.7	30
10,014	male	white	en	40-49	119.9	3,840	2,160	112.29	24
10,015	male	white	en	40-49	32.3	3,840	2,160	28.33	24
10,016	male	white	en	40-49	38.7	3,840	2,160	35.67	24
10,017	male	white	en	40-49	36.4	3,840	2,160	34.29	24
10,018	male	white	en	40-49	34.1	3,840	2,160	30.92	24
10,019	male	white	en	40-49	38.9	3,840	2,160	36.54	24
10,020	male	white	en	30-39	79.3	3,840	2,160	23.03	30
10,021	male	white	en	30-39	42.1	3,840	2,160	29.13	30
10,022	male	white	en	30-39	12.8	1,920	1,080	22.82	60
10,023	male	asian	en	20-29	21.7	3,840	2,160	24.29	24
10,024	male	asian	en	20-29	22	3,840	2,160	24.58	24
10,025	male	indian	hi	40-49	49.1	1,920	1,080	78.42	60
10,026	male	indian	hi	40-49	16.7	1,920	1,080	25.32	60
10,027	male	indian	hi	40-49	36.1	1,920	1,080	57.02	60
10,028	male	indian	hi	40-49	24.7	1,920	1,080	39.17	60
10,029	male	indian	hi	40-49	16.9	1,920	1,080	27.15	60
10,030	male	black	en	20-29	59.5	1,920	1,080	114.95	24
10,031	female	white	en	20-29	38.4	1,920	1,080	68.44	24
10,032	female	black	en	20-29	28.9	1,920	1,080	34.03	30
10,033	male	white	en	40-49	116.4	3,840	2,160	31.08	25
10,034	male	black	en	30-39	36.9	1,920	1,080	67.47	30
10,035	male	black	en	30-39	37.3	1,920	1,080	62.83	30
10,036	male	white	en	40-49	42.9	3,840	2,160	23.4	24
10,037	male	white	en	40-49	77.8	3,840	2,160	41	24
10,038	male	white	en	40-49	74.7	3,840	2,160	39.5	24
10,039	male	white	en	40-49	96.3	3,840	2,160	53.3	24
10,040	male	white	en	40-49	70	3,840	2,160	37.37	24
10,041	male	white	en	40-49	47.5	3,840	2,160	25.15	24
10,042	male	white	en	40-49	73	3,840	2,160	39.75	24
10,043	male	white	en	30-39	70	3,840	2,160	50.3	24
10,044	male	white	en	30-39	27.9	3,840	2,160	21.52	24
10,045	male	white	en	30-39	153.3	3,840	2,160	93.09	24
10,046	male	white	en	30-39	34.3	3,840	2,160	27.44	24
10,047	male	white	en	30-39	162.8	3,840	2,160	102.1	24
10,048	male	white	en	30-39	28.8	3,840	2,160	20.52	24
10,049	female	white	en	30-39	50.7	3,840	2,160	34.2	24
10,050	female	white	en	30-39	64.9	3,840	2,160	43	24
10,051	female	white	en	30-39	53	3,840	2,160	39.91	24
10,052	female	white	en	30-39	42.6	3,840	2,160	30.36	24
10,053	female	white	en	30-39	52.4	3,840	2,160	30.28	24
10,054	female	white	en	30-39	54	3,840	2,160	33.78	24
10,055	female	white	en	30-39	52.2	3,840	2,160	38	24
10,056	female	white	en	30-39	52.2	3,840	2,160	38.12	24
10,057	female	white	en	20-29	77	3,840	2,160	27.38	60
10,058	female	white	en	20-29	170.9	3,840	2,160	58.18	60
10,059	female	white	en	20-29	104.5	3,840	2,160	31.22	60
10,060	female	white	en	20-29	138.6	3,840	2,160	46.32	60
10,061	female	white	en	20-29	84.4	3,840	2,160	28.83	60
10,062	female	white	en	20-29	160.2	3,840	2,160	53.62	60
10,063	female	white	en	20-29	135	3,840	2,160	45.43	60
10,064	female	white	en	20-29	96	3,840	2,160	33.47	60
10,065	female	white	en	20-29	121.6	3,840	2,160	42.43	60
10,066	male	white	en	40-49	63.6	1,920	1,080	54.97	60
10,067	male	white	en	40-49	28	1,920	1,080	30.97	60
10,068	male	white	en	40-49	12.3	1,920	1,080	30.65	60
10,069	male	white	en	40-49	25.1	1,920	1,080	23.82	60
10,070	female	black	en	20-29	37.9	1,920	1,080	71.32	24
10,071	female	black	en	20-29	19.4	1,920	1,080	37.16	24
10,072	male	white	en	30-39	35.7	3,840	2,160	23.93	30
10,073	female	asian	en	20-29	53.9	3,840	2,160	24.62	30
10,074	female	asian	en	20-29	68.2	3,840	2,160	32.13	30
10,075	female	asian	en	20-29	58.7	3,840	2,160	27.79	30
10,076	male	black	en	30-39	30.1	3,840	2,160	20.92	30
10,077	male	black	en	30-39	28.5	3,840	2,160	20.82	30
10,078	male	black	en	30-39	38	3,840	2,160	26.73	30
10,079	male	black	en	30-39	133.7	3,840	2,160	93.99	30
10,080	male	black	en	30-39	44.9	3,840	2,160	30.63	30
10,081	male	white	en	20-29	109.4	3,840	2,160	38.63	30
10,082	female	white	en	20-29	101.6	3,840	2,160	35.37	24
10,083	female	white	en	20-29	162.9	3,840	2,160	53.51	24
10,084	male	white	en	30-39	97.4	3,840	2,160	57.2	30
10,085	male	white	en	30-39	40.1	3,840	2,160	23.1	30
10,086	male	white	en	30-39	35.7	3,840	2,160	20.57	30
10,087	male	white	en	30-39	41.9	3,840	2,160	23.5	30
10,088	male	white	en	30-39	42.8	3,840	2,160	24.1	30
10,089	male	white	en	30-39	72.6	3,840	2,160	45.8	30
10,090	male	white	en	50-59	11.9	1,920	1,080	27.03	30
10,091	female	white	en	20-29	18.2	1,920	1,080	32.3	30
10,092	female	white	en	20-29	30.4	1,920	1,080	58.13	30
10,093	female	white	en	20-29	12.2	1,920	1,080	23.83	30
10,094	female	white	en	20-29	231.4	3,840	2,160	63.42	60
10,095	female	white	en	20-29	68	3,840	2,160	20.78	60
10,096	female	white	en	20-29	242.3	3,840	2,160	75.62	60
10,097	female	white	en	20-29	13.3	1,920	1,080	25.23	30
10,098	male	white	en	50-59	35	3,840	2,160	21.07	60
10,099	male	white	en	50-59	75.3	3,840	2,160	41.72	60
10,100	male	white	en	50-59	57	3,840	2,160	33.22	60
10,101	male	white	en	50-59	45.1	3,840	2,160	25.27	60
10,102	male	white	en	50-59	62.2	3,840	2,160	34.87	60
10,103	male	white	en	40-49	53.9	3,840	2,160	47.16	25
10,104	male	white	en	40-49	41.2	3,840	2,160	38.28	25
10,105	female	white	en	20-29	38	3,840	2,160	20.32	60
10,106	female	white	en	20-29	44.3	3,840	2,160	24.03	60
10,107	female	asian	en	20-29	18.9	3,840	2,160	24.36	30

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