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
13,528	male	white	en	30-39	15.3	1,920	1,080	24.96	25
13,529	male	white	en	30-39	12.6	1,920	1,080	23.48	25
13,530	male	asian	en	30-39	16.1	2,560	1,440	21.68	50
13,531	male	asian	en	30-39	16.4	2,560	1,440	20.96	50
13,532	male	asian	en	30-39	18.6	2,560	1,440	23.9	50
13,533	male	asian	en	30-39	17.7	2,560	1,440	22.58	50
13,534	female	white	en	10-19	82.7	1,906	1,080	122.73	30
13,535	female	white	en	20-29	13.3	1,920	1,080	24.86	50
13,536	female	white	en	20-29	17.8	1,920	1,080	30.44	50
13,537	female	white	en	20-29	13.4	1,920	1,080	24.64	50
13,538	female	white	en	20-29	28.4	1,920	1,080	65.9	30
13,539	female	white	en	20-29	14.4	1,920	1,080	35.47	30
13,540	female	white	en	20-29	24.3	1,920	1,080	61.76	30
13,541	female	white	en	20-29	12.8	1,920	1,080	23.52	30
13,542	female	white	en	20-29	54.4	1,920	1,080	96.7	30
13,543	male	asian	en	20-29	57.3	3,840	2,160	37.54	24
13,544	male	white	en	40-49	45.7	1,280	720	135.67	30
13,545	male	white	en	20-29	9.8	1,920	1,080	32.93	30
13,546	male	white	en	20-29	12.5	1,920	1,080	41.23	30
13,547	male	white	en	20-29	11.3	1,920	1,080	35.93	30
13,548	male	white	en	20-29	10	1,920	1,080	30.33	30
13,549	male	white	en	20-29	12.3	1,920	1,080	41.13	30
13,550	male	white	en	20-29	12.9	1,920	1,080	38.17	30
13,551	male	white	en	20-29	15.4	1,920	1,080	41.83	30
13,552	male	white	en	20-29	7.9	1,920	1,080	22.17	30
13,553	male	asian	en	20-29	8.3	1,920	1,080	20.6	24
13,554	male	white	en	20-29	13.3	3,840	2,160	20.35	24
13,555	male	white	en	50-59	11.3	1,920	1,080	24.13	30
13,556	male	white	en	50-59	33.7	1,920	1,080	70.43	30
13,557	male	white	en	50-59	43.5	1,920	1,080	93.93	30
13,558	male	white	en	50-59	25.2	1,920	1,080	52.93	30
13,559	male	white	en	50-59	18.8	1,920	1,080	37.13	30
13,560	female	white	en	20-29	33.5	1,920	1,080	87.1	30
13,561	female	white	en	20-29	5.2	1,920	1,080	28.1	30
13,562	female	white	en	20-29	12.3	1,920	1,080	35.53	30
13,563	female	white	en	20-29	9.5	1,920	1,080	28.13	30
13,564	female	white	en	20-29	38.3	1,920	1,080	102.37	30
13,565	male	white	en	30-39	21.9	3,840	2,160	20.73	24
13,566	female	white	en	30-39	23.4	1,920	1,080	23.92	59.9
13,567	female	white	en	30-39	106.5	1,920	1,080	117.62	59.9
13,568	female	white	en	30-39	50.1	1,920	1,080	54.42	59.9
13,569	female	white	en	30-39	53.8	1,920	1,080	64.21	59.9
13,570	female	white	en	30-39	19.3	1,920	1,080	22.14	59.9
13,571	female	white	en	30-39	19.7	1,920	1,080	20.52	59.9
13,572	male	black	en	30-39	29.5	1,920	1,080	64.87	60
13,573	male	black	en	30-39	12	1,920	1,080	25.92	60
13,574	male	black	en	30-39	51.2	1,920	1,080	113.98	60
13,575	male	black	en	30-39	21.3	1,920	1,080	47.67	60
13,576	male	white	en	40-49	29	3,840	2,160	30.99	24
13,577	male	white	en	20-29	32.8	1,920	1,080	59.06	30
13,578	male	white	en	30-39	34.7	3,840	2,160	23.27	24
13,579	male	white	en	30-39	137.2	3,840	2,160	126.08	24
13,580	male	white	en	30-39	33.1	3,840	2,160	26.86	24
13,581	male	white	en	30-39	28.4	3,840	2,160	24.11	24
13,582	male	white	en	30-39	52.5	3,840	2,160	44.75	24
13,583	male	white	en	30-39	35.3	3,840	2,160	31.74	24
13,584	male	white	en	30-39	42.2	3,840	2,160	38.5	24
13,585	female	white	en	10-19	11.7	1,920	1,080	22.39	30
13,586	female	white	en	10-19	14.2	1,920	1,080	28.43	30
13,587	female	white	en	10-19	39.2	3,840	2,160	28.03	30
13,588	female	white	en	10-19	27.6	3,840	2,160	21.13	30
13,589	female	white	en	10-19	40.6	3,840	2,160	32.13	30
13,590	female	white	en	10-19	29.4	3,840	2,160	23.23	30
13,591	female	white	en	10-19	66.3	3,840	2,160	53.13	30
13,592	female	white	en	10-19	46.9	3,840	2,160	36.63	30
13,593	female	white	en	10-19	67.6	3,840	2,160	43.93	30
13,594	female	white	en	10-19	88.8	3,840	2,160	65.63	30
13,595	female	asian	en	30-39	35.2	1,920	1,080	57.19	59.9
13,596	male	white	en	20-29	10.8	1,920	1,080	48.72	24
13,597	female	white	en	20-29	13.4	1,920	1,080	21.13	30
13,598	male	white	en	30-39	7.9	1,920	1,080	29.06	30
13,599	male	white	en	30-39	9.2	1,920	1,080	33.03	30
13,600	female	asian	en	20-29	316.6	3,840	2,160	110.6	30
13,601	male	white	en	30-39	6.7	1,920	1,080	21.31	16
13,602	male	asian	en	20-29	38.5	3,840	2,160	22.02	24
13,603	female	white	en	20-29	59.9	3,840	2,160	26.09	30
13,604	female	white	en	20-29	49.1	3,840	2,160	23.59	30
13,605	female	white	en	20-29	48.5	3,840	2,160	24.62	30
13,606	female	white	en	20-29	79.4	3,840	2,160	39.51	30
13,607	female	white	en	20-29	38.4	3,840	2,160	20.49	30
13,608	female	white	en	20-29	52.6	3,840	2,160	24.99	30
13,609	female	white	en	20-29	66.6	3,840	2,160	34.93	30
13,610	female	white	en	20-29	73.8	3,840	2,160	33.53	30
13,611	female	indian	en	20-29	45.4	3,840	2,160	45.75	24
13,612	female	indian	en	20-29	21.3	3,840	2,160	21.4	24
13,613	female	indian	en	20-29	64	3,840	2,160	67.4	24
13,614	female	indian	en	20-29	41.9	3,840	2,160	43.25	24
13,615	male	white	en	40-49	87.7	3,840	2,160	64.16	30
13,946	male	asian	en	40-49	159.8	3,840	2,160	38.89	59.9
13,616	male	white	en	40-49	85	3,840	2,160	55.82	30
13,617	male	white	en	20-29	74.9	3,840	2,160	39.64	30
13,618	male	white	en	20-29	94.3	3,840	2,160	50.65	30
13,619	male	white	en	20-29	46.6	3,840	2,160	36.54	30
13,620	male	white	en	20-29	39.8	3,840	2,160	21.49	30
13,621	female	white	en	40-49	92.9	1,920	1,080	176.63	59.9
13,622	female	white	en	40-49	81.5	1,920	1,080	152.42	59.9
13,623	female	white	en	20-29	102.3	1,920	1,080	160.73	30
13,624	female	white	en	30-39	14.1	1,920	1,080	29.73	30
13,625	female	white	en	20-29	22.8	1,920	1,080	69.92	25
13,626	female	white	en	20-29	10.1	1,920	1,080	28.6	25

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