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
26,508	female	white	cs	20-29	10.8	1,920	1,080	22.88	60
26,509	female	white	cs	20-29	28.1	1,920	1,080	59.4	60
26,510	female	white	cs	20-29	15.6	1,920	1,080	28.47	60
26,511	female	white	cs	20-29	15.6	1,920	1,080	32.3	60
26,512	female	white	cs	20-29	43.4	1,920	1,080	95.02	60
26,513	female	white	cs	20-29	13.7	1,920	1,080	31.55	60
26,514	male	indian	en	30-39	59	3,840	2,160	26.76	30
26,515	male	indian	en	30-39	57.8	3,840	2,160	21.59	30
26,516	female	white	en	30-39	16.6	1,920	1,080	41	24
26,517	female	white	en	30-39	12.6	1,920	1,080	32.42	24
26,518	female	white	en	30-39	57.3	1,920	1,080	145.42	24
26,519	female	white	en	30-39	9.7	1,920	1,080	26.46	24
26,520	female	white	en	30-39	11.9	1,920	1,080	34.71	24
26,521	female	white	en	30-39	24.6	1,920	1,080	75.75	24
26,522	female	white	en	30-39	24.5	1,920	1,080	63.92	24
26,523	female	white	en	30-39	8.6	1,920	1,080	23.08	24
26,524	female	white	en	30-39	37.2	1,920	1,080	98.38	24
26,525	female	white	en	20-29	101.1	3,840	2,160	52.53	30
26,526	female	white	en	20-29	46.2	3,840	2,160	26.13	30
26,527	male	white	en	20-29	48.7	3,840	2,160	45.05	30
26,528	male	white	en	20-29	22.8	3,840	2,160	23.29	30
26,529	female	white	so	20-29	9.5	1,920	1,080	28.09	30
26,530	female	white	so	20-29	11.7	1,920	1,080	28.13	30
26,531	female	white	so	20-29	8.7	1,920	1,080	24.86	30
26,532	female	white	so	20-29	72.1	1,920	1,080	172.54	30
26,533	female	white	en	30-39	56.6	3,840	2,160	38.03	30
26,534	female	white	en	30-39	31	3,840	2,160	21.63	30
26,535	female	asian	en	20-29	11.6	1,920	1,080	25.44	25
26,536	female	asian	en	20-29	11.8	1,920	1,080	34.92	25
26,537	female	asian	en	20-29	9.1	1,920	1,080	22.68	25
26,538	female	asian	en	20-29	62.6	1,920	1,080	158.72	25
26,539	female	asian	en	20-29	31.1	1,920	1,080	83.44	25
26,540	female	white	en	20-29	30.4	1,920	1,080	37.66	24
26,541	female	white	en	20-29	12.7	1,920	1,080	20.69	24
26,542	female	white	en	20-29	24.8	1,920	1,080	37.75	24
26,543	female	white	en	20-29	30.9	1,920	1,080	48	25
26,544	female	white	en	20-29	26.8	1,920	1,080	39	25
26,545	female	white	en	20-29	35	1,920	1,080	56.88	25
26,546	male	white	nl	20-29	50.2	3,840	2,160	22.32	25
26,547	male	white	cs	30-39	53	1,920	1,080	64.8	25
26,548	male	white	cs	30-39	53.6	1,920	1,080	62.52	25
26,549	male	white	cs	30-39	43.6	1,920	1,080	48.44	25
26,550	male	white	cs	30-39	30.7	1,920	1,080	33.6	25
26,551	male	white	cs	30-39	15.5	1,920	1,080	25.12	25
26,552	male	white	cs	30-39	40.9	1,920	1,080	62.4	25
26,553	female	white	en	20-29	17.5	1,920	1,080	29.9	50
26,554	female	white	en	20-29	26.2	1,920	1,080	42.94	50
26,555	female	white	en	20-29	13.9	1,920	1,080	24.06	50
26,556	female	white	en	20-29	16.5	1,920	1,080	25.82	50
26,557	female	white	en	20-29	13.9	1,920	1,080	25.4	50
26,558	female	white	en	20-29	13.4	1,920	1,080	38.41	30
26,559	female	white	en	20-29	38.6	1,920	1,080	107.71	30
26,560	female	white	en	20-29	28.4	1,920	1,080	77.51	30
26,561	female	white	en	20-29	41	1,920	1,080	110.41	30
26,562	female	white	pl	30-39	13.1	1,920	1,080	23.92	30
26,563	female	white	pl	30-39	13.9	1,920	1,080	25.23	30
26,564	female	black	en	20-29	28	1,920	1,080	60.89	30
26,565	female	black	en	20-29	46.6	1,920	1,080	87.95	30
26,566	female	black	en	20-29	16.7	1,920	1,080	29.43	30
26,567	female	white	nl	20-29	65.2	3,840	2,160	31.16	50
26,568	female	white	nl	20-29	64	3,840	2,160	31.34	50
26,569	male	white	cs	10-19	46.7	1,920	1,080	92.76	50
26,570	male	white	cs	10-19	39.3	1,920	1,080	82.52	50
26,571	male	white	cs	10-19	13.2	1,920	1,080	26.52	50
26,572	male	white	cs	10-19	51.8	1,920	1,080	97.4	50
26,573	female	white	en	20-29	15	1,920	1,080	36.2	30
26,574	female	white	en	20-29	14.9	1,920	1,080	34.4	30
26,575	female	white	en	20-29	10.4	1,920	1,080	32.2	30
26,576	female	white	en	20-29	17.4	1,920	1,080	46.83	30
26,577	female	white	en	20-29	12.7	1,920	1,080	34.03	30
26,578	female	white	en	20-29	50.6	1,920	1,080	131.43	30
26,579	male	white	nl	30-39	28.1	3,840	2,160	26.64	25
26,580	male	white	nl	30-39	32.1	3,840	2,160	20.28	25
26,581	male	white	nl	30-39	38.6	3,840	2,160	33	25
26,582	female	black	en	20-29	16.7	1,920	1,080	29.83	30
26,583	female	black	en	20-29	57.4	1,920	1,080	89.89	30
26,584	female	black	en	20-29	32.1	1,920	1,080	58.36	30
26,585	female	black	en	20-29	11.7	1,920	1,080	20.79	30
26,586	female	black	en	20-29	27.8	1,920	1,080	45.61	30
26,587	female	black	en	20-29	46.6	1,920	1,080	73.47	30
26,588	female	black	en	20-29	41.5	1,920	1,080	72.27	30
26,589	female	black	en	20-29	29.5	1,920	1,080	47.85	30
28,512	male	asian	en	20-29	27.5	3,840	2,160	25.54	24
26,591	female	white	en	20-29	30.1	1,920	1,080	52.93	30
26,592	female	white	en	20-29	26.3	1,920	1,080	43.83	30
26,593	female	white	en	20-29	66.6	1,920	1,080	124.2	30
26,594	female	black	en	20-29	4.8	1,920	1,080	26.32	25
26,595	female	black	en	20-29	9.9	1,920	1,080	48.72	25
26,596	female	black	en	20-29	8.1	1,920	1,080	39.48	25
26,597	female	black	en	20-29	6.2	1,920	1,080	31.2	25
26,598	female	black	en	20-29	5.7	1,920	1,080	29.16	25
26,599	male	asian	en	30-39	38.7	3,840	2,160	27.17	24
26,600	male	white	af	30-39	52.8	3,840	2,160	22.68	25
26,601	male	white	af	30-39	49.8	3,840	2,160	28.8	25
26,602	female	black	en	20-29	26.7	1,920	1,080	51.52	30
26,603	female	black	en	20-29	12.3	1,920	1,080	24.62	30
26,604	female	black	en	20-29	21.3	1,920	1,080	48.55	30
26,605	female	black	en	20-29	18.3	1,920	1,080	36.14	30
26,606	female	black	en	20-29	21.3	1,920	1,080	38.24	30
26,607	female	black	en	20-29	35.4	1,920	1,080	78.58	30

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