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
47,598	female	asian	tl	40-49	67.2	3,840	2,160	51.26	24
47,599	female	asian	tl	40-49	43.5	3,840	2,160	35.91	24
47,600	male	asian	en	30-39	11.1	1,920	1,080	23.48	24
47,601	male	asian	en	30-39	82.9	1,920	1,080	176.97	24
47,602	female	asian	en	30-39	10.6	1,920	1,080	23.43	30
47,603	male	black	tl	20-29	53.5	3,840	2,160	30.63	30
47,604	male	black	tl	20-29	56.2	3,840	2,160	38.94	30
47,605	male	black	tl	20-29	49.1	3,840	2,160	28.33	30
47,606	male	black	tl	20-29	82.8	3,840	2,160	46.45	30
47,607	male	black	tl	20-29	58.8	3,840	2,160	34.13	30
47,608	female	white	tl	20-29	10	1,920	1,080	32.43	30
47,609	male	black	tl	30-39	49.5	3,840	2,160	43.33	24
47,610	male	black	tl	30-39	48	3,840	2,160	40.25	24
47,611	male	black	tl	30-39	49.1	3,840	2,160	44.21	24
47,612	male	black	tl	30-39	50.5	3,840	2,160	43.67	24
47,613	male	asian	tl	20-29	23.5	1,920	1,080	60.93	30
47,614	male	asian	tl	20-29	29.3	1,920	1,080	81.2	30
47,615	male	asian	tl	20-29	27	1,920	1,080	74.33	30
47,616	male	asian	tl	20-29	11.8	1,920	1,080	32.37	30
47,617	male	asian	tl	20-29	47.1	1,920	1,080	140.83	30
47,618	male	asian	tl	20-29	11.9	1,920	1,080	29.43	30
47,619	male	asian	tl	20-29	13.7	1,920	1,080	36.53	30
47,620	male	asian	tl	20-29	9.5	1,920	1,080	25.83	30
47,621	male	asian	tl	30-39	35.7	1,920	1,080	27.17	60
47,622	male	asian	tl	30-39	44.7	1,920	1,080	45.53	60
47,623	male	asian	tl	30-39	84	1,920	1,080	63.52	60
47,624	male	asian	tl	30-39	27.6	1,920	1,080	26.57	60
47,625	male	asian	tl	30-39	64.1	1,920	1,080	54.13	60
47,626	male	asian	tl	30-39	29.3	1,920	1,080	26.25	60
47,627	male	asian	tl	20-29	23.4	1,920	1,080	21.04	24
47,628	male	asian	tl	20-29	26	1,920	1,080	30.24	25
47,629	male	asian	tl	10-19	22.6	1,906	1,080	30.73	30
47,630	male	asian	tl	30-39	48	1,920	1,080	139.71	30
47,631	male	asian	tl	30-39	7.9	1,920	1,080	21.29	30
47,632	male	asian	tl	30-39	10.8	1,920	1,080	33	30
47,633	male	asian	tl	30-39	28.6	1,920	1,080	79.98	30
47,634	male	asian	tl	30-39	20.2	1,920	1,080	54.85	30
47,635	male	asian	tl	30-39	48.7	1,920	1,080	137.5	30
47,636	female	asian	tl	30-39	29.4	1,920	1,080	26.97	30
47,637	male	asian	tl	20-29	34.8	1,920	1,080	39.95	60
47,638	male	asian	tl	20-29	74.7	1,920	1,080	90.87	60
47,643	female	indian	en	20-29	48.6	1,920	1,080	80.3	30
47,644	female	indian	en	20-29	17.8	1,920	1,080	31.33	30
47,645	male	asian	en	20-29	137.4	3,840	2,160	65.97	60
47,646	male	asian	en	20-29	71.8	3,840	2,160	29.73	60
47,647	male	asian	en	20-29	78.4	3,840	2,160	33.98	60
47,648	male	asian	en	20-29	70.3	3,840	2,160	31.42	60
47,649	male	asian	en	20-29	75.9	3,840	2,160	33.67	60
47,650	male	asian	en	20-29	106.9	3,840	2,160	46.42	60
47,651	male	asian	en	20-29	73.6	3,840	2,160	31.52	60
47,652	male	asian	en	20-29	84.5	3,840	2,160	33.92	60
47,653	male	asian	en	20-29	51.9	3,840	2,160	21.68	60
47,654	male	asian	en	20-29	165.9	3,840	2,160	71.52	60
47,655	male	asian	en	20-29	172.9	3,840	2,160	74.42	60
47,656	male	asian	en	20-29	333.3	3,840	2,160	141.12	60
47,657	female	asian	en	20-29	12.3	1,920	1,080	20.52	25
47,658	male	asian	tl	30-39	46.5	1,920	1,080	118.2	25
47,659	male	asian	tl	30-39	49.6	1,920	1,080	127.8	25
47,660	male	asian	tl	30-39	23.7	1,920	1,080	30.51	59.9
47,661	male	asian	tl	30-39	76.2	1,920	1,080	105.21	59.9
47,662	female	white	en	30-39	74.8	3,840	2,160	27.12	25
47,663	female	white	en	30-39	144.7	3,840	2,160	69.48	25
47,664	female	white	en	30-39	76.1	3,840	2,160	37.2	25
47,665	female	white	en	30-39	51.9	3,840	2,160	23.52	25
47,666	male	asian	en	20-29	23.8	3,840	2,160	26.73	30
47,667	male	asian	tl	20-29	64.9	3,840	2,160	21.57	60
47,668	male	asian	tl	20-29	93.9	3,840	2,160	31.77	60
47,669	male	asian	tl	20-29	160.2	3,840	2,160	54.83	60
47,670	male	asian	tl	20-29	260.2	3,840	2,160	89.07	60
47,671	male	asian	tl	20-29	80.8	3,840	2,160	28.02	60
47,672	male	asian	tl	20-29	168.5	3,840	2,160	60.92	60
47,673	male	asian	tl	20-29	95	3,840	2,160	32.72	60
47,674	male	asian	tl	30-39	14.7	1,920	1,080	32.64	25
47,675	male	asian	tl	30-39	20.9	1,920	1,080	52.48	25
47,676	male	asian	tl	30-39	10.7	1,920	1,080	24.48	25
47,677	male	asian	tl	30-39	30.5	1,920	1,080	69.23	30
47,678	male	asian	tl	30-39	28.1	1,920	1,080	62.23	30
47,679	female	asian	tl	20-29	13.7	1,920	1,080	42.9	30
47,680	female	asian	tl	20-29	22.8	1,920	1,080	78.6	30
47,681	female	asian	tl	20-29	9	1,920	1,080	28	30
47,682	female	asian	tl	20-29	28.4	1,920	1,080	97.1	30
47,683	female	asian	tl	20-29	41.5	1,920	1,080	123.33	30
47,684	female	asian	tl	20-29	30.1	1,920	1,080	79.8	25
47,685	female	asian	tl	20-29	13.7	1,920	1,080	35.24	25
47,686	female	asian	tl	20-29	13.4	1,920	1,080	36.56	25
47,687	female	asian	tl	20-29	11.5	1,920	1,080	30.32	25
47,688	female	asian	tl	20-29	22.1	1,920	1,080	58.88	25
47,689	female	asian	tl	20-29	18.9	1,920	1,080	52	25
47,690	female	asian	en	20-29	39.9	3,840	2,160	30.82	60
47,691	female	asian	en	20-29	61.2	3,840	2,160	48.12	60
47,694	male	asian	tl	10-19	16.7	1,920	1,080	22.9	60
47,695	male	asian	tl	10-19	15.8	1,920	1,080	22.58	60
47,696	male	asian	tl	10-19	21.3	1,920	1,080	38.02	60
47,697	male	asian	tl	20-29	10.6	1,920	1,080	20.12	30
47,698	male	asian	tl	20-29	26	1,920	1,080	46.05	30
47,699	male	asian	tl	20-29	18.2	1,920	1,080	33.53	30
47,700	male	asian	tl	20-29	31.4	1,920	1,080	54.85	30
47,701	male	asian	tl	20-29	25.5	1,920	1,080	45.71	30
47,702	male	asian	tl	20-29	25.1	1,920	1,080	45.75	30
47,703	male	asian	tl	20-29	13.5	1,920	1,080	24.36	30

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