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
16,635	male	white	en	30-39	20.5	3,840	2,160	21.6	25
16,636	male	white	en	30-39	17.7	3,840	2,160	21	25
16,637	male	white	en	30-39	41.5	3,840	2,160	46.76	25
16,638	male	white	en	40-49	94.5	3,840	2,160	51.76	24
16,639	male	white	en	40-49	87	3,840	2,160	50.63	24
16,640	male	white	en	40-49	92	3,840	2,160	51.26	24
16,641	male	white	en	40-49	149.6	3,840	2,160	87.96	24
16,642	male	white	en	10-19	21.7	1,920	1,080	35.43	30
16,643	female	black	en	30-39	264.6	3,840	2,160	116.64	25
16,644	male	asian	en	20-29	29.9	3,840	2,160	30.86	24
16,645	male	asian	en	20-29	101.7	3,840	2,160	105.36	24
16,646	male	asian	en	20-29	38.1	3,840	2,160	37.5	24
16,647	male	asian	en	20-29	66.6	3,840	2,160	68.03	24
16,648	male	white	en	20-29	14.1	1,920	1,080	29.86	24
16,649	male	white	en	20-29	8.9	1,920	1,080	20.56	24
16,650	male	white	en	20-29	10.5	1,920	1,080	23.86	24
16,651	male	white	en	20-29	15.3	1,920	1,080	32.87	24
16,652	male	white	en	20-29	46.5	1,920	1,080	96.72	24
16,653	male	white	en	20-29	13.4	1,920	1,080	26.82	24
16,654	male	white	en	20-29	11.8	1,920	1,080	25.48	24
16,655	male	white	en	20-29	10.1	1,920	1,080	22.27	24
16,656	female	white	en	20-29	72.3	3,840	2,160	40.68	25
16,657	female	white	en	20-29	123.1	3,840	2,160	82.56	25
16,658	female	white	en	20-29	48.7	3,840	2,160	31.08	25
16,659	female	white	en	20-29	110.8	3,840	2,160	68.52	25
16,660	female	white	en	20-29	47.9	3,840	2,160	32.88	25
16,661	female	white	en	20-29	70.4	3,840	2,160	42.72	25
16,662	male	white	en	20-29	66.5	3,840	2,160	43.97	30
16,663	male	white	en	20-29	37.1	3,840	2,160	26	30
16,664	male	white	en	20-29	43.7	3,840	2,160	26.1	30
16,665	female	black	en	10-19	71.9	1,920	1,080	155.02	30
16,666	male	white	en	50-59	52.1	1,920	1,080	58.43	30
16,667	male	white	en	50-59	18.5	1,920	1,080	22.9	30
16,668	male	white	en	50-59	17.8	1,920	1,080	24.17	30
16,669	male	white	en	20-29	23	3,840	2,160	21.56	24
16,670	male	white	en	20-29	176.8	3,840	2,160	178.64	24
16,671	male	asian	en	20-29	35.5	3,840	2,160	30.63	30
16,672	male	white	en	20-29	26.9	3,840	2,160	23.99	30
16,673	male	white	en	20-29	31.5	3,840	2,160	27.79	30
16,674	male	white	en	20-29	23.6	3,840	2,160	21.09	30
16,675	male	white	en	20-29	36.1	3,840	2,160	34.6	30
16,676	female	black	en	30-39	426.4	3,840	2,160	138.93	30
16,677	male	white	en	30-39	55.2	3,840	2,160	20.62	30
16,678	male	white	en	30-39	90.3	3,840	2,160	22.79	30
16,679	male	white	en	30-39	127.1	3,840	2,160	27.03	30
16,680	female	asian	en	20-29	49.6	3,840	2,160	30.33	30
16,681	female	asian	en	20-29	54	3,840	2,160	33.13	30
16,682	female	asian	en	20-29	46.9	3,840	2,160	31.23	30
16,683	female	asian	en	20-29	37	3,840	2,160	24.53	30
16,684	female	asian	en	20-29	108.8	3,840	2,160	70.43	30
16,685	female	asian	en	20-29	42	3,840	2,160	23.17	30
16,686	female	asian	en	20-29	101.1	3,840	2,160	57.73	30
16,687	female	white	en	30-39	59.4	3,840	2,160	24.17	60
16,688	female	white	en	30-39	413.6	3,840	2,160	170.07	60
16,689	male	white	en	30-39	72.5	3,840	2,160	35.54	24
16,690	male	white	en	20-29	48.5	3,840	2,160	22.43	30
16,691	male	white	en	20-29	50.2	3,840	2,160	21.23	30
16,692	male	white	en	20-29	38.3	1,920	1,080	43.13	30
16,693	male	white	en	20-29	55.1	1,920	1,080	63.2	30
16,694	female	white	en	20-29	13.3	1,920	1,080	30.16	24
16,695	female	white	en	20-29	17.7	1,920	1,080	25.44	24
16,696	female	white	en	20-29	12.7	1,920	1,080	26.69	24
16,697	female	white	en	20-29	15.3	1,920	1,080	33.53	24
16,698	female	white	en	20-29	11.7	1,920	1,080	27.57	24
16,699	female	white	en	20-29	10.9	1,920	1,080	25.44	24
16,700	female	white	en	20-29	15	1,920	1,080	33.03	24
16,701	female	white	en	20-29	18	1,920	1,080	38.04	24
16,702	female	white	en	20-29	10.1	1,920	1,080	23.06	24
16,703	male	white	en	20-29	5.2	1,920	1,080	23.86	24
16,704	male	white	en	20-29	6.2	1,920	1,080	23.61	24
16,705	male	white	en	20-29	5.3	1,920	1,080	20.44	24
16,706	male	white	en	20-29	10.9	1,920	1,080	41.29	24
16,707	female	asian	en	20-29	24.5	2,560	1,440	23.83	30
16,708	female	white	en	20-29	34.6	3,840	2,160	23.36	24
16,709	female	white	en	20-29	50.7	3,840	2,160	28.86	24
16,710	male	white	en	40-49	6.9	1,920	1,080	20.33	24
16,711	female	white	en	20-29	19	1,920	1,080	26.36	59.9
16,712	female	white	en	20-29	11.9	1,920	1,080	21.81	59.9
16,713	male	white	en	20-29	20.2	1,920	1,080	23.53	30
16,714	female	white	en	20-29	40.1	1,920	1,080	96.96	25
16,715	female	white	en	20-29	28.8	1,920	1,080	70.8	25
16,716	female	white	en	20-29	72.8	1,920	1,080	158.76	25
16,717	female	white	en	20-29	12.7	1,920	1,080	29.64	25
16,718	female	white	en	20-29	20.1	1,920	1,080	32.47	59.9
16,719	male	white	en	40-49	71.5	3,840	2,160	68.15	24
16,720	female	white	en	10-19	73.2	1,920	1,080	72.67	30
16,721	female	white	en	10-19	43.6	1,920	1,080	39.34	30
16,722	male	white	en	30-39	76.3	3,840	2,160	34.03	24
16,723	female	white	en	30-39	110.7	3,840	2,160	60.81	24
16,724	female	white	en	30-39	65	3,840	2,160	49.47	24
16,725	female	white	en	30-39	174.9	3,840	2,160	83.12	24
16,726	male	white	en	50-59	96.2	3,840	2,160	26.04	25
16,727	male	white	en	50-59	92.5	3,840	2,160	26.12	25
16,728	male	white	en	50-59	81.3	3,840	2,160	27.08	25
16,729	male	white	en	50-59	112	3,840	2,160	25.88	25
16,730	male	white	en	20-29	40.6	3,840	2,160	20.63	30
16,731	male	white	en	30-39	40	3,840	2,160	20.48	24
16,732	female	white	en	30-39	9.6	1,920	1,080	25.63	30
16,733	female	white	en	30-39	17.9	1,920	1,080	48.25	30
16,734	female	white	en	30-39	30.9	1,920	1,080	87.59	30

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