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
47,496	male	indian	en	30-39	14.3	1,920	1,080	22.56	24
47,497	male	asian	tl	20-29	40.5	1,920	1,080	72.87	60
47,498	male	black	en	20-29	31.7	1,920	1,080	36.54	30
47,499	female	asian	tl	20-29	11.3	1,920	1,080	23.03	30
47,500	female	asian	tl	20-29	31.8	1,920	1,080	62.63	30
47,501	female	asian	tl	20-29	10.4	1,920	1,080	20.6	30
47,502	male	white	en	20-29	98.1	3,840	2,160	20.22	59.9
47,503	male	asian	tl	20-29	34.6	1,920	1,080	38.94	30
47,504	male	asian	en	20-29	70.3	3,840	2,160	45.01	30
47,505	male	asian	en	20-29	66.6	3,840	2,160	42.74	30
47,506	female	asian	en	20-29	128.6	1,920	1,080	175.6	25
47,507	female	asian	en	20-29	103.8	1,920	1,080	154.6	25
47,508	female	asian	en	20-29	20.9	1,920	1,080	27.88	25
47,509	female	asian	en	20-29	73.9	1,920	1,080	105.56	25
47,510	female	asian	en	20-29	16.6	1,920	1,080	25.16	25
47,511	male	asian	tl	20-29	51.3	1,920	1,080	71.84	25
47,512	female	asian	tl	20-29	42.9	1,920	1,080	80.27	30
47,513	female	asian	tl	20-29	89.6	1,920	1,080	177.47	30
47,514	female	asian	tl	20-29	15	1,920	1,080	26.4	30
47,515	female	asian	tl	20-29	19.4	1,920	1,080	33.6	30
47,516	female	asian	tl	20-29	19.2	1,920	1,080	30.87	30
47,517	female	asian	tl	20-29	19.9	1,920	1,080	34.67	30
47,518	female	asian	tl	20-29	14.4	1,920	1,080	27.67	30
47,519	male	asian	tl	20-29	32.6	1,920	1,080	54.72	25
47,520	male	asian	tl	20-29	14.5	1,920	1,080	23.88	25
47,521	male	asian	tl	20-29	54.2	1,920	1,080	93.32	25
47,522	male	asian	tl	20-29	21.2	1,920	1,080	36.68	25
47,523	male	asian	tl	20-29	11.7	1,920	1,080	21	25
47,524	male	white	en	20-29	23	1,920	1,080	41.27	60
47,525	male	white	en	20-29	21.9	1,920	1,080	49.87	60
47,528	male	asian	tl	20-29	98.7	3,840	2,160	20.42	30
47,529	male	indian	en	3-9	15.7	1,920	1,080	36.37	30
47,530	male	indian	en	3-9	18.8	1,920	1,080	32.73	30
47,531	male	indian	en	3-9	17.1	1,920	1,080	41.93	30
47,532	male	asian	tl	30-39	29.5	1,920	1,080	58.64	25
47,533	male	asian	tl	30-39	24.2	1,920	1,080	49.56	25
47,534	male	asian	tl	20-29	45.7	1,920	1,080	83.18	59.9
47,535	male	asian	tl	40-49	16.3	1,920	1,080	35.33	30
47,536	male	asian	tl	40-49	18.2	1,920	1,080	33.23	30
47,537	male	asian	tl	20-29	15.9	1,920	1,080	21.93	30
47,538	male	asian	tl	20-29	29.9	1,920	1,080	53.73	30
47,539	male	asian	tl	20-29	21.6	1,920	1,080	44.1	30
47,540	male	asian	tl	20-29	22.6	1,920	1,080	46.37	30
47,541	male	asian	en	20-29	116.2	3,840	2,160	58.06	24
47,542	female	asian	tl	20-29	44.5	1,920	1,080	83.38	30
47,543	female	asian	tl	20-29	71.4	1,920	1,080	122.02	30
47,544	female	asian	tl	20-29	18.5	1,920	1,080	34.33	30
47,545	female	asian	tl	20-29	16.9	1,920	1,080	33.23	30
47,546	female	asian	tl	20-29	57.8	1,920	1,080	105.17	30
47,547	female	asian	tl	20-29	17.3	1,920	1,080	31.4	30
47,548	male	white	en	30-39	41.7	3,840	2,160	26.76	30
47,549	male	asian	tl	20-29	35.5	1,920	1,080	47.33	30
47,550	male	asian	tl	30-39	61.7	1,920	1,080	75.32	60
47,551	male	asian	tl	20-29	44.7	1,920	1,080	93.48	25
47,552	male	asian	tl	20-29	40.8	3,840	2,160	27.03	30
47,553	male	asian	tl	20-29	79.9	3,840	2,160	29.4	30
47,554	male	white	en	20-29	253.3	3,840	2,160	83.03	30
47,555	male	white	en	20-29	150.3	3,840	2,160	48.73	30
47,556	male	asian	tl	20-29	13.1	1,920	1,080	32.73	30
47,557	male	asian	tl	30-39	7.8	1,280	720	48.15	30
47,558	male	asian	tl	30-39	15	1,280	720	72.67	30
47,559	male	asian	tl	30-39	7.3	1,280	720	31.7	30
47,560	male	asian	tl	30-39	8.6	1,280	720	40.21	30
47,561	male	asian	tl	30-39	6.8	1,280	720	32.9	30
47,562	female	asian	en	20-29	27.3	1,920	1,080	52.13	30
47,563	female	asian	en	20-29	22.5	1,920	1,080	38.9	30
47,564	female	asian	en	20-29	18.8	1,920	1,080	31.37	30
47,565	female	asian	en	20-29	16.2	1,920	1,080	28.93	30
47,566	female	asian	tl	50-59	49.9	1,920	1,080	42.73	30
47,567	female	asian	tl	50-59	91.1	1,920	1,080	67.47	30
47,568	female	asian	tl	50-59	84.6	1,920	1,080	69.3	30
47,569	male	asian	tl	20-29	16.3	1,920	1,080	51.4	30
47,570	male	asian	tl	20-29	13.5	1,920	1,080	46.77	30
47,571	male	asian	tl	20-29	11.7	1,920	1,080	31.13	30
47,572	male	asian	tl	20-29	13.8	1,920	1,080	27.93	30
47,573	male	asian	tl	20-29	38.7	1,920	1,080	108.5	30
47,574	male	asian	tl	20-29	15.7	1,920	1,080	53.9	30
47,575	male	white	en	20-29	14.8	1,920	1,080	33.43	30
47,576	male	white	en	20-29	14.7	1,920	1,080	34.63	30
47,577	male	white	en	20-29	11.7	1,920	1,080	28.23	30
47,578	male	white	en	20-29	9.1	1,920	1,080	23.03	30
47,579	female	asian	tl	20-29	32.7	1,920	1,080	53.73	30
47,580	female	asian	tl	20-29	26.4	1,920	1,080	39.77	30
47,581	female	asian	tl	20-29	53	1,920	1,080	85.4	30
47,582	female	asian	tl	20-29	16.4	1,920	1,080	23.23	30
47,583	male	asian	tl	20-29	7.7	1,920	1,080	22.52	30
47,584	female	asian	tl	30-39	29.2	1,920	1,080	40.17	30
47,585	female	asian	tl	30-39	37.4	1,920	1,080	50.73	30
47,586	male	asian	en	3-9	10.9	1,920	1,080	29.73	30
47,587	male	asian	en	40-49	20	1,920	1,080	22.8	25
47,588	female	asian	tl	10-19	12.7	1,920	1,080	20.97	30
47,589	female	asian	tl	10-19	14.2	1,920	1,080	20.47	30
47,590	male	asian	en	10-19	53.2	1,920	1,080	80.32	25
47,591	male	asian	en	10-19	23.2	1,920	1,080	34.52	25
47,592	male	asian	en	10-19	41.5	1,920	1,080	60.48	25
47,593	male	asian	en	10-19	66.6	1,920	1,080	97.56	25
47,594	male	asian	en	10-19	66.4	1,920	1,080	100.96	25
47,595	male	asian	en	10-19	39.6	1,920	1,080	64.68	25
47,596	male	asian	tl	20-29	58	1,920	1,080	119.64	25
47,597	male	asian	tl	20-29	9.8	1,920	1,080	21.52	25

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