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
26,608	female	white	it	20-29	17.9	1,920	1,080	37.41	24
26,609	female	white	it	20-29	11.6	1,920	1,080	26.9	24
26,610	female	white	en	30-39	10.4	1,920	1,080	22.3	30
26,611	female	white	en	30-39	67.9	1,920	1,080	111.93	30
26,612	female	white	en	20-29	30.3	1,920	1,080	68.17	30
26,613	female	white	en	20-29	31.1	1,920	1,080	73.77	30
26,614	female	white	en	20-29	29.1	1,920	1,080	68.67	30
26,615	female	white	en	20-29	70.5	1,920	1,080	160.56	30
26,616	female	white	en	20-29	11.8	1,920	1,080	24.96	30
26,617	female	white	en	20-29	11.8	1,920	1,080	26.26	30
26,618	female	white	en	20-29	67.7	1,920	1,080	153.92	30
26,619	male	white	nl	40-49	12.6	1,920	1,080	24.24	25
26,620	female	white	en	20-29	64.3	1,920	1,080	173.4	30
26,621	female	white	en	20-29	19.7	1,920	1,080	45.6	30
26,622	female	white	en	20-29	74.2	1,920	1,080	170.2	30
26,623	female	white	en	10-19	5.2	1,280	720	22.72	30
26,624	female	white	en	20-29	12.4	1,920	1,080	23.57	24
26,625	female	white	en	20-29	35.7	1,920	1,080	62.44	24
26,626	female	white	en	20-29	23.3	1,920	1,080	39.79	24
26,627	female	white	en	20-29	53.2	1,920	1,080	93.18	24
26,628	female	white	en	20-29	38.1	1,920	1,080	67.19	24
26,629	female	white	en	20-29	28.8	1,920	1,080	50.43	24
26,630	female	white	en	20-29	36.6	1,920	1,080	61.06	24
28,513	male	asian	en	20-29	27.5	3,840	2,160	26.04	24
28,514	male	asian	en	20-29	37.4	3,840	2,160	36.54	24
28,515	male	asian	en	20-29	21.2	3,840	2,160	21.67	24
28,516	male	asian	en	20-29	31.6	3,840	2,160	28.12	24
28,517	male	white	en	50-59	54.5	3,840	2,160	23.28	25
28,518	male	white	en	50-59	100.1	3,840	2,160	29.16	25
26,637	male	white	cs	30-39	7.4	1,920	1,080	20.96	25
26,638	male	white	cs	30-39	9.6	1,920	1,080	26.64	25
26,639	female	asian	en	30-39	14.2	1,920	1,080	24.52	24
26,640	female	asian	en	30-39	12.8	1,920	1,080	23.86	24
26,641	female	asian	en	30-39	20.9	1,920	1,080	40.92	24
26,642	female	white	cs	20-29	20.9	1,920	1,080	24.92	25
26,643	female	white	cs	20-29	15.4	1,920	1,080	21.48	25
26,644	female	white	cs	20-29	21.1	1,920	1,080	28.16	25
26,645	female	white	cs	20-29	14.9	1,920	1,080	20.24	25
26,646	female	black	en	30-39	82.5	1,920	1,080	116.82	30
26,647	female	black	en	30-39	68.3	1,920	1,080	108.58	30
26,648	female	black	en	30-39	118.1	1,920	1,080	166.9	30
26,649	female	white	cs	20-29	18.7	1,920	1,080	30.6	25
26,650	female	white	cs	20-29	13.7	1,920	1,080	22.08	25
26,651	female	black	cs	30-39	26.9	1,920	1,080	55.28	25
26,652	female	black	cs	30-39	19.6	1,920	1,080	39.24	25
26,653	female	black	cs	30-39	24.4	1,920	1,080	50.04	25
26,654	female	black	cs	30-39	24.5	1,920	1,080	49.12	25
26,655	female	black	cs	30-39	36	1,920	1,080	72.76	25
26,656	female	black	cs	30-39	19	1,920	1,080	46.12	25
26,657	male	white	cs	20-29	6.6	1,920	1,080	20.88	25
26,658	male	white	cs	20-29	9.8	1,920	1,080	29.24	25
26,659	male	white	cs	20-29	9.1	1,920	1,080	21.32	25
26,660	female	white	en	50-59	105.7	3,840	2,160	50.45	30
26,661	female	white	en	50-59	71.5	3,840	2,160	36.3	30
26,662	female	white	es	20-29	11.3	1,920	1,080	20.75	30
26,663	female	white	en	50-59	27.9	1,280	720	122.02	30
26,664	female	white	en	50-59	19.7	1,280	720	76.28	30
26,665	female	asian	en	20-29	11.1	1,920	1,080	21.23	30
26,666	female	asian	en	20-29	12	1,920	1,080	25.63	30
26,667	male	white	nl	30-39	16	1,920	1,080	24.08	50
26,668	male	white	nl	30-39	15.9	1,920	1,080	23.4	50
26,669	male	white	sk	20-29	14	1,920	1,080	23.27	24
26,670	male	white	sk	20-29	14.4	1,920	1,080	21.9	24
26,671	male	white	sk	20-29	29.4	1,920	1,080	50.43	24
26,672	male	white	sk	20-29	19.9	1,920	1,080	29.65	24
26,673	female	white	en	20-29	82.5	1,920	1,080	164.04	25
26,674	female	white	en	20-29	81.3	1,920	1,080	143.6	25
26,675	female	white	en	20-29	81	1,920	1,080	152.12	25
26,676	female	white	en	20-29	46.8	1,920	1,080	96.72	25
26,677	female	asian	en	20-29	13.3	1,920	1,080	33.17	59.9
26,678	female	asian	en	20-29	9.4	1,920	1,080	20.87	59.9
26,679	female	asian	en	20-29	12.4	1,920	1,080	32.02	59.9
26,680	female	asian	en	20-29	25.7	1,920	1,080	38.32	59.9
26,681	female	asian	en	20-29	31	1,920	1,080	45.28	59.9
26,682	female	asian	en	20-29	8.9	1,920	1,080	22.12	59.9
26,683	female	asian	en	20-29	12.6	1,920	1,080	30.3	59.9
26,684	female	asian	en	20-29	16.9	1,920	1,080	43.56	59.9
26,685	female	asian	en	20-29	5.5	1,920	1,080	20.47	59.9
26,686	male	white	cs	30-39	55.4	3,840	2,160	31.13	30
26,687	male	white	cs	30-39	72	3,840	2,160	40.33	30
26,688	male	white	cs	30-39	76.3	3,840	2,160	22.16	59.9
26,689	male	white	cs	30-39	67.5	3,840	2,160	27.99	59.9
26,690	female	asian	en	20-29	10.6	1,920	1,080	20.29	24
26,691	female	asian	en	20-29	19.5	1,920	1,080	32.75	24
26,692	female	asian	en	20-29	19.2	1,920	1,080	29	24
26,693	female	asian	en	20-29	9.2	1,920	1,080	22.29	24
26,694	female	asian	en	20-29	17.1	1,920	1,080	41.29	24
26,695	female	asian	en	20-29	19.3	1,920	1,080	42.04	24
26,696	female	asian	en	20-29	14.7	1,920	1,080	21.04	24
26,697	female	asian	en	30-39	14.1	1,920	1,080	33.63	30
26,698	female	asian	en	30-39	24.8	1,920	1,080	52.95	30
26,699	female	asian	en	30-39	12.6	1,920	1,080	22.89	30
26,700	female	asian	en	30-39	21.5	1,920	1,080	36.94	30
26,701	female	asian	en	30-39	12.9	1,920	1,080	28.53	30
26,702	female	asian	en	30-39	10.4	1,920	1,080	21.49	30
26,703	female	asian	en	30-39	31.6	1,920	1,080	65.47	30
26,704	female	asian	en	30-39	28.3	1,920	1,080	49.05	30
26,705	female	white	en	30-39	54.4	1,920	1,080	160.26	30
26,706	female	white	en	30-39	45.4	1,920	1,080	149.05	30
26,707	female	white	en	30-39	34.5	1,920	1,080	46.68	30

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