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
10,610	female	black	en	20-29	50.1	3,840	2,160	31.53	30
10,611	male	white	en	20-29	76.8	3,840	2,160	41.04	30
10,612	male	white	en	20-29	76.5	3,840	2,160	41.07	30
10,613	male	white	en	20-29	67	3,840	2,160	35.2	30
10,614	male	white	en	20-29	61.6	3,840	2,160	34.07	30
10,615	male	white	en	20-29	86.8	3,840	2,160	45.85	30
10,616	male	white	en	20-29	44.4	3,840	2,160	23.42	30
10,617	male	white	en	30-39	218.8	3,840	2,160	114.86	24
10,618	male	white	en	30-39	103.1	3,840	2,160	54.3	24
10,619	male	white	en	30-39	44.5	3,840	2,160	22.86	24
10,620	male	white	en	30-39	44.8	3,840	2,160	22.36	24
10,621	male	white	en	30-39	11.1	1,920	1,080	20.59	30
10,622	male	white	en	30-39	13.2	1,920	1,080	21.89	30
10,623	male	white	en	30-39	18.1	1,920	1,080	32.5	30
10,624	male	white	en	30-39	31	1,920	1,080	52.79	30
10,625	male	white	en	30-39	173.4	3,840	2,160	68.96	25
10,626	male	white	en	30-39	85.1	3,840	2,160	31.64	25
10,627	male	white	en	30-39	122.6	3,840	2,160	45.8	25
10,628	male	white	en	30-39	54.6	3,840	2,160	21.48	25
10,629	male	white	en	30-39	193.9	3,840	2,160	66.6	25
10,630	male	white	en	30-39	118.9	3,840	2,160	46.28	25
10,631	male	white	en	20-29	76.4	3,840	2,160	46.56	25
10,632	male	white	en	20-29	53.2	3,840	2,160	35.28	25
10,633	male	white	en	20-29	78.5	3,840	2,160	47.4	25
10,634	male	white	en	20-29	59.5	3,840	2,160	36.48	25
10,635	male	white	en	20-29	97.3	3,840	2,160	59.4	25
10,636	male	white	en	20-29	75.9	3,840	2,160	48.48	25
10,637	female	white	en	30-39	21	1,920	1,080	55.12	30
10,638	female	white	en	20-29	42.8	1,920	1,080	59.16	30
10,639	female	white	en	20-29	23.2	1,920	1,080	33.63	30
10,640	male	white	en	30-39	12.5	1,920	1,080	35.7	24
10,641	male	white	en	30-39	30.2	3,840	2,160	21.39	30
10,642	male	white	en	30-39	50.4	3,840	2,160	36.5	30
10,643	male	white	en	30-39	76.3	3,840	2,160	51.58	30
10,644	male	white	en	30-39	91	3,840	2,160	59.46	30
10,645	male	white	en	30-39	57.1	3,840	2,160	60.53	30
10,646	male	white	en	30-39	26	3,840	2,160	23.26	30
10,647	male	white	en	20-29	11.7	1,920	1,080	37.5	24
10,648	male	white	en	20-29	9.8	1,920	1,080	35.62	24
10,649	male	white	en	20-29	45.2	3,840	2,160	31.02	60
10,650	male	white	en	20-29	44.2	3,840	2,160	27.87	60
10,651	male	white	en	20-29	149.5	3,840	2,160	101.87	60
10,652	male	white	en	20-29	68.5	3,840	2,160	42.52	60
10,653	male	white	en	20-29	31.5	3,840	2,160	21.32	60
10,654	male	white	en	20-29	33.7	3,840	2,160	23.22	60
10,655	male	white	en	20-29	34.6	3,840	2,160	24.22	60
10,656	male	white	en	60-69	272.9	3,840	2,160	33.2	30
10,657	male	white	en	60-69	411.9	3,840	2,160	61.23	30
10,658	male	white	en	60-69	280.2	3,840	2,160	31.6	30
10,659	male	white	en	30-39	22.4	1,920	1,080	33.18	59.9
10,660	male	white	en	30-39	134.9	1,920	1,080	77.63	30
10,661	male	white	en	50-59	8.2	1,920	1,080	23.63	30
10,662	male	white	en	50-59	10.7	1,920	1,080	27.3	30
10,663	male	white	en	50-59	11	1,920	1,080	28.6	30
10,664	male	white	en	50-59	11	1,920	1,080	33.73	30
10,665	female	white	en	20-29	113	3,840	2,160	46.58	30
10,666	female	white	en	20-29	241.6	3,840	2,160	106.81	30
10,667	female	white	en	20-29	75.9	3,840	2,160	35.67	30
10,668	female	white	en	20-29	73.5	3,840	2,160	34.5	30
10,669	female	white	en	20-29	16.6	1,920	1,080	26.99	30
10,670	female	white	en	20-29	30	1,920	1,080	40.71	30
10,671	female	white	en	20-29	69.2	1,920	1,080	91.76	30
10,672	female	white	en	20-29	12.7	1,920	1,080	21.89	30
10,673	male	white	en	20-29	24.1	3,840	2,160	24.52	24
10,674	male	white	en	20-29	35.6	3,840	2,160	41.04	24
10,675	male	white	en	20-29	80.5	3,840	2,160	98.47	24
10,676	male	white	en	20-29	36.7	3,840	2,160	42	24
10,677	male	white	en	20-29	68.1	3,840	2,160	79.08	24
10,678	male	black	en	30-39	151.9	3,840	2,160	73.87	24
10,679	female	black	en	20-29	13.1	1,920	1,080	20.82	30
10,680	female	black	en	20-29	49.1	1,920	1,080	74.51	30
10,681	female	black	en	20-29	18.5	1,920	1,080	33.23	30
10,682	female	black	en	20-29	13.5	1,920	1,080	22.39	30
10,683	female	black	en	20-29	39.3	1,920	1,080	60.76	30
10,684	female	black	en	20-29	22.9	1,920	1,080	32.83	30
10,685	female	black	en	20-29	29.6	1,920	1,080	38.77	30
10,686	female	black	en	20-29	24.9	1,920	1,080	40.81	30
10,687	male	asian	en	20-29	9.7	1,920	1,080	22.27	30
10,688	male	asian	en	20-29	9.7	1,920	1,080	26.1	30
10,689	male	white	en	30-39	21.5	3,840	2,160	21.36	25
10,690	male	white	en	30-39	19.2	3,840	2,160	20.76	25
10,691	male	asian	en	20-29	10.6	1,920	1,080	24.12	24
10,692	female	black	en	20-29	19.8	1,920	1,080	34.07	30
10,693	female	black	en	20-29	22.5	1,920	1,080	38.24	30
10,694	female	black	en	20-29	55.9	1,920	1,080	89.32	30
10,695	female	black	en	20-29	14.5	1,920	1,080	27.06	30
10,696	female	black	en	20-29	16.7	1,920	1,080	29.93	30
10,697	female	black	en	20-29	16.6	1,920	1,080	29.1	30
10,698	female	black	en	20-29	19	1,920	1,080	33.7	30
10,699	female	black	en	20-29	15.8	1,920	1,080	28.76	30
10,700	male	white	en	30-39	53.7	3,840	2,160	47.26	24
10,701	male	white	en	30-39	27.3	3,840	2,160	21.27	24
10,702	male	white	en	30-39	70.2	3,840	2,160	44.46	24
10,703	female	white	en	20-29	46	1,920	1,080	53.63	30
10,704	female	white	en	20-29	21.9	1,920	1,080	25.7	30
10,705	female	white	en	20-29	26.8	1,920	1,080	31.6	30
10,706	female	white	en	20-29	51.9	1,920	1,080	57.7	30
10,707	female	white	en	20-29	34.9	1,920	1,080	39.77	30
10,708	male	white	en	30-39	8.6	1,920	1,080	23.9	24
10,709	male	white	en	30-39	17.6	1,920	1,080	44.25	24

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