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
47,905	female	asian	tl	20-29	10.3	1,920	1,080	24.03	30
47,906	male	white	tl	40-49	16.8	1,920	1,080	20.67	60
47,907	male	asian	tl	20-29	109.3	3,840	2,160	42.11	30
47,908	female	asian	tl	20-29	41.8	1,920	1,080	87.23	30
47,909	female	asian	tl	20-29	11.2	1,920	1,080	22.93	30
47,910	female	asian	tl	20-29	28.8	1,920	1,080	56.03	30
47,911	female	asian	tl	20-29	46.8	1,920	1,080	99.33	30
47,912	female	asian	id	20-29	77.2	1,920	1,080	148.27	30
47,913	female	asian	id	20-29	26.7	1,920	1,080	54.47	30
47,914	female	asian	id	20-29	40.9	1,920	1,080	83.07	30
47,915	female	asian	id	20-29	28.4	1,920	1,080	57.47	30
47,916	female	asian	id	20-29	65.1	1,920	1,080	136.47	30
47,917	female	asian	id	20-29	82.4	1,920	1,080	177.8	30
47,918	female	asian	id	20-29	45	1,920	1,080	99.47	30
47,919	female	asian	id	20-29	19.4	1,920	1,080	40.4	30
47,920	female	asian	id	20-29	12.5	1,920	1,080	22.8	30
47,921	female	asian	id	20-29	13.8	1,920	1,080	27.17	30
47,922	female	asian	id	20-29	87.6	1,920	1,080	178.5	30
47,923	male	asian	tl	20-29	7.5	1,920	1,080	21.27	24
47,924	male	asian	tl	30-39	13.1	1,920	1,080	28.63	30
47,925	male	asian	tl	20-29	20.2	1,920	1,080	30.57	30
47,926	male	asian	tl	20-29	87.1	1,920	1,080	136.33	30
47,927	male	asian	tl	20-29	102.8	1,920	1,080	154.9	30
47,928	male	asian	tl	20-29	67.6	1,920	1,080	100.53	30
47,929	male	asian	tl	20-29	34.6	1,920	1,080	52.77	30
47,930	male	asian	tl	20-29	106.3	1,920	1,080	159.5	30
47,931	male	asian	tl	20-29	52.2	1,920	1,080	76.7	30
47,933	male	asian	tl	20-29	37.6	1,920	1,080	55.77	30
47,934	male	asian	tl	20-29	28.1	1,920	1,080	38.07	30
47,935	male	black	en	20-29	52.1	3,840	2,160	32.07	60
47,936	male	black	en	20-29	36.8	3,840	2,160	21.42	60
47,937	male	black	en	20-29	36.9	3,840	2,160	20.67	60
47,938	none	none	en	none	25.4	1,920	1,080	33.63	30
47,939	male	asian	tl	30-39	38.1	1,920	1,080	45.03	30
47,940	male	asian	tl	20-29	26.1	1,920	1,080	22.17	24
47,941	male	asian	tl	20-29	20.8	1,920	1,080	20.29	24
47,942	male	white	en	30-39	51.7	3,840	2,160	24.48	24
47,943	male	black	tl	3-9	24.6	1,920	1,080	39.77	30
47,944	male	asian	tl	10-19	13.4	1,920	1,080	20.17	30
47,945	male	asian	tl	10-19	22.4	1,920	1,080	35.5	30
47,946	female	asian	en	20-29	10.6	1,920	1,080	23.75	60
47,947	female	asian	en	20-29	16.3	1,920	1,080	36.75	60
47,948	female	asian	en	20-29	13.7	1,920	1,080	27.32	60
47,949	female	asian	en	20-29	11.5	1,920	1,080	21.97	60
47,950	female	asian	en	20-29	25.9	1,920	1,080	53.45	60
47,951	female	asian	en	20-29	12.2	1,920	1,080	24.12	60
47,952	female	asian	en	20-29	12.2	1,920	1,080	23.7	60
47,953	female	asian	en	20-29	44.1	1,920	1,080	86.08	60
47,954	female	asian	en	20-29	11	1,920	1,080	21.47	60
47,955	female	asian	tl	10-19	23.1	1,920	1,080	37.92	29.9
47,956	male	asian	en	20-29	142.4	3,840	2,160	104.33	30
47,957	male	asian	en	20-29	243.1	3,840	2,160	176.53	30
47,958	male	asian	en	20-29	154.2	3,840	2,160	109.63	30
47,959	male	asian	en	20-29	53.4	3,840	2,160	41.53	30
47,960	male	asian	en	20-29	93.1	3,840	2,160	71.53	30
47,961	male	asian	en	20-29	66.6	3,840	2,160	56.83	30
47,962	male	asian	en	20-29	142.5	3,840	2,160	113.83	30
47,963	male	asian	en	20-29	17.6	1,920	1,080	37.87	30
47,964	male	asian	en	20-29	14.8	1,920	1,080	34.43	30
47,965	male	asian	en	20-29	13	1,920	1,080	31.1	30
47,966	male	asian	en	20-29	19.8	1,920	1,080	51.35	30
47,967	male	asian	tl	20-29	21.1	1,920	1,080	30.82	60
47,968	male	asian	tl	20-29	20.5	1,920	1,080	48.82	60
47,969	male	white	en	40-49	65.7	3,840	2,160	38.91	24
47,970	male	white	en	40-49	52.5	3,840	2,160	31.41	24
47,971	male	white	en	40-49	107.6	3,840	2,160	40.54	24
47,972	female	black	tl	30-39	37.4	1,920	1,080	54.03	30
47,973	male	asian	tl	10-19	42.6	1,920	1,080	69.67	30
47,974	male	white	tl	30-39	22.6	1,920	1,080	40.23	30
47,975	male	white	tl	30-39	26.1	1,920	1,080	40.53	30
47,976	female	asian	tl	30-39	12.2	1,920	1,080	39.67	24
47,977	male	white	en	20-29	13.2	1,920	1,080	20.99	30
47,978	male	white	en	20-29	12.1	1,920	1,080	22.69	30
47,979	male	asian	tl	20-29	36.8	1,920	1,080	152.75	24
47,980	male	asian	tl	20-29	30.3	1,920	1,080	122.42	24
47,981	male	indian	ro	30-39	87.9	1,920	1,080	68.73	30
47,982	female	asian	tl	20-29	14	1,920	1,080	32.87	30
47,983	female	asian	tl	20-29	24.6	1,920	1,080	57.03	30
47,984	female	asian	tl	20-29	38.5	1,920	1,080	49.53	30
47,985	female	asian	tl	20-29	32.7	1,920	1,080	27.33	30
47,986	male	asian	tl	10-19	31.2	1,920	1,080	27.67	60
47,987	male	asian	id	30-39	14.5	1,920	1,080	27.13	30
47,988	male	asian	tl	20-29	43.3	1,920	1,080	44.63	30
47,989	male	white	en	30-39	37.2	3,840	2,160	22.86	30
47,990	male	white	en	30-39	42	3,840	2,160	23.09	30
47,991	male	white	en	30-39	78.7	3,840	2,160	39.41	30
47,992	male	white	en	30-39	43.6	3,840	2,160	24.52	30
47,993	male	white	en	30-39	33.1	3,840	2,160	21.12	30
47,994	female	asian	tl	10-19	17.4	1,920	1,080	20.52	24
47,995	none	none	en	none	50.7	1,920	1,080	33.27	60
47,996	male	white	en	50-59	30.7	1,920	1,080	55.33	30
47,997	male	white	en	20-29	41.5	3,840	2,160	33.7	30
47,998	male	white	en	20-29	30.4	3,840	2,160	23.89	30
47,999	male	asian	tl	20-29	14.5	1,920	1,080	25.32	25
48,000	male	asian	tl	20-29	24	1,920	1,080	24.6	25
48,001	male	asian	tl	30-39	30.9	1,920	1,080	47.88	30
48,002	male	asian	tl	30-39	82.4	1,920	1,080	124.86	30
48,003	male	asian	tl	30-39	26.9	1,920	1,080	40.91	30
48,004	female	asian	tl	20-29	37	3,840	2,160	22.08	24
48,005	female	asian	tl	20-29	16.4	1,920	1,080	28.3	30

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