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
5,568	female	white	en	20-29	12.3	1,920	1,080	25.68	59.9
5,569	male	white	en	30-39	26.5	3,840	2,160	22.97	60
5,570	male	asian	en	30-39	74.2	3,840	2,160	30.32	60
5,571	male	asian	en	30-39	72.4	3,840	2,160	29.37	60
5,572	male	asian	en	30-39	59.7	3,840	2,160	23.37	60
5,573	male	asian	en	30-39	187	3,840	2,160	75.92	60
5,574	male	asian	en	30-39	100.5	3,840	2,160	40.97	60
5,575	male	asian	en	30-39	51.4	3,840	2,160	20.27	60
5,576	male	asian	en	30-39	91.1	3,840	2,160	35.43	60
5,577	male	white	en	40-49	67.4	3,840	2,160	35.5	30
5,578	male	white	en	40-49	124.2	3,840	2,160	59.96	30
5,579	female	white	en	20-29	14.5	1,920	1,080	28.44	25
5,580	female	white	en	20-29	9.5	1,920	1,080	20.16	25
5,581	male	white	en	30-39	83.4	3,840	2,160	40.08	24
5,582	male	white	en	30-39	82.6	3,840	2,160	31.91	24
5,583	male	white	en	30-39	154.7	3,840	2,160	61.98	24
5,584	male	white	en	30-39	90.4	3,840	2,160	35.83	24
5,585	male	white	en	30-39	17.5	1,920	1,080	48.13	30
5,586	male	white	en	30-39	16.9	1,920	1,080	47.83	30
5,587	male	white	en	30-39	27.6	1,920	1,080	76.47	30
5,588	male	white	en	30-39	56.8	3,840	2,160	20.4	25
5,589	female	white	en	30-39	55.6	1,920	1,080	109.88	25
5,590	female	white	en	30-39	23.6	1,920	1,080	45.96	25
5,591	female	white	en	30-39	11.4	1,920	1,080	21.72	25
5,592	male	white	en	30-39	267.7	3,840	2,160	121.22	30
5,593	male	white	en	30-39	60.4	3,840	2,160	27.53	30
5,594	male	white	en	30-39	106.9	3,840	2,160	46.55	30
5,595	male	white	en	20-29	9.2	1,920	1,080	20.65	30
5,596	male	white	en	40-49	100.9	1,920	1,080	178.47	24
5,597	male	white	en	40-49	23.5	1,920	1,080	41.42	24
5,598	male	white	en	40-49	39.7	1,920	1,080	70.32	24
5,599	male	white	en	20-29	99.6	3,840	2,160	43.31	30
5,600	female	white	en	30-39	8.5	1,920	1,080	27.73	30
5,883	male	black	en	30-39	57.2	3,840	2,160	20.75	24
5,601	female	white	en	30-39	13.6	1,920	1,080	48.52	30
5,602	female	white	en	30-39	26.8	1,920	1,080	94.93	30
5,603	female	white	en	30-39	12.9	1,920	1,080	49.05	30
5,604	female	white	en	30-39	10.5	1,920	1,080	37.44	30
5,605	female	white	en	30-39	8.3	1,920	1,080	35.2	30
5,606	male	asian	en	20-29	14.6	1,920	1,080	22.27	59.9
5,607	male	asian	en	20-29	19.4	1,920	1,080	27.08	59.9
5,608	male	asian	en	20-29	25.8	1,920	1,080	37.87	59.9
5,609	male	asian	en	20-29	17.6	1,920	1,080	26.48	59.9
5,610	male	asian	en	20-29	13	1,920	1,080	20.5	59.9
5,611	male	white	en	50-59	16.6	1,920	1,080	28.83	30
5,612	male	white	en	50-59	14.9	1,920	1,080	27.7	30
5,613	male	white	en	50-59	28.9	1,920	1,080	52	30
5,614	male	white	en	50-59	35.6	1,920	1,080	62.07	30
5,615	male	white	en	50-59	41.3	1,920	1,080	72.93	30
5,616	male	white	en	50-59	16.7	1,920	1,080	29.07	30
5,617	male	white	en	20-29	38.1	3,840	2,160	28.8	30
5,618	female	white	en	20-29	17.1	1,920	1,080	35.7	30
5,619	female	white	en	20-29	71.4	1,920	1,080	151	30
5,620	female	white	en	20-29	29.9	1,920	1,080	66.33	30
5,621	male	white	en	50-59	10.9	1,920	1,080	31.53	30
5,622	male	white	en	50-59	16.3	1,920	1,080	45.03	30
5,623	male	white	en	50-59	15.8	1,920	1,080	46.67	30
5,624	male	white	en	50-59	18.5	1,920	1,080	54.73	30
5,625	male	white	en	50-59	10.2	1,920	1,080	30.53	30
5,626	male	white	en	50-59	7.5	1,920	1,080	23.27	30
5,627	male	white	en	50-59	8.9	1,920	1,080	27.47	30
5,628	male	white	en	50-59	6.6	1,920	1,080	21.13	30
5,629	male	white	en	50-59	7.6	1,920	1,080	24.43	30
5,630	male	white	en	50-59	11	1,920	1,080	31.2	30
5,631	male	white	en	20-29	42.4	3,840	2,160	26.81	59.9
5,632	male	white	en	20-29	34.4	3,840	2,160	21.6	59.9
5,633	male	black	en	30-39	64.8	1,920	1,080	64.33	30
5,634	male	black	en	30-39	153.5	1,920	1,080	132.33	30
5,635	male	white	en	20-29	24.7	3,840	2,160	23.98	24
5,636	male	white	en	20-29	38.1	3,840	2,160	37.87	24
5,637	male	white	en	20-29	22.7	3,840	2,160	20.73	24
5,638	male	white	en	30-39	15.7	1,920	1,080	22.92	25
5,639	female	white	en	20-29	18.2	1,920	1,080	22.69	30
5,640	female	white	en	20-29	29.6	1,920	1,080	35.34	30
5,641	female	white	en	20-29	23.1	1,920	1,080	25.73	30
5,642	female	white	en	20-29	23.1	1,920	1,080	26.13	30
5,643	female	white	en	20-29	23.6	1,920	1,080	36.7	30
5,644	male	white	en	30-39	52.5	3,840	2,160	26.36	24
5,645	female	white	en	20-29	35.1	1,920	1,080	49.83	30
5,646	female	white	en	20-29	31.3	1,920	1,080	52.93	30
5,647	female	white	en	20-29	20.4	1,920	1,080	35.13	30
5,648	female	white	en	20-29	30.2	1,920	1,080	46.53	30
5,649	male	asian	en	20-29	39.4	3,840	2,160	20.94	24
5,650	male	white	en	30-39	27.2	3,840	2,160	24.42	30
5,651	male	white	en	30-39	19.3	1,920	1,080	41.57	60
5,652	male	white	en	30-39	13.6	1,920	1,080	27.22	60
5,653	male	white	en	30-39	46.9	1,920	1,080	100.72	60
5,654	male	black	en	40-49	30.9	1,920	1,080	63.91	59.9
5,655	male	white	en	40-49	65.3	3,840	2,160	20.73	30
5,656	male	white	en	40-49	33.4	3,840	2,160	22.15	24
5,657	male	white	en	40-49	49.9	3,840	2,160	33.28	24
5,658	male	white	en	30-39	164.9	3,840	2,160	43.76	50
5,659	male	white	en	30-39	431.8	3,840	2,160	90.86	50
5,660	male	white	en	30-39	70.6	3,840	2,160	64.76	25
5,661	male	white	en	30-39	42.1	3,840	2,160	23.97	60
5,662	male	white	en	30-39	43.2	3,840	2,160	22.87	60
5,663	male	white	en	30-39	119.9	3,840	2,160	62.83	60
5,664	male	white	en	30-39	70	3,840	2,160	32.67	60
5,665	male	white	en	30-39	60.9	3,840	2,160	32.02	60
5,666	male	white	en	30-39	48.6	3,840	2,160	25.23	60

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