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
10,510	male	asian	en	20-29	31.1	3,840	2,160	33.8	30
10,511	male	asian	en	20-29	19.5	3,840	2,160	20.09	30
10,512	male	white	en	30-39	9.7	1,920	1,080	27.12	60
10,513	male	asian	en	20-29	56	3,840	2,160	30.58	59.9
10,514	male	asian	en	20-29	54.1	3,840	2,160	30.46	59.9
10,515	male	asian	en	20-29	52.5	3,840	2,160	28.96	59.9
10,516	male	asian	en	20-29	66.1	3,840	2,160	42.54	59.9
10,517	female	black	en	20-29	13.9	1,920	1,080	24.93	30
10,518	female	black	en	20-29	14.4	1,920	1,080	30.77	30
10,519	female	black	en	20-29	14.8	1,920	1,080	25.83	30
10,520	female	white	en	20-29	30.2	3,840	2,160	23.52	24
10,521	male	white	en	50-59	24.5	1,920	1,080	84.92	60
10,522	male	white	en	50-59	5.5	1,920	1,080	20.92	60
10,523	male	white	en	50-59	5.8	1,920	1,080	20.52	60
10,524	male	white	en	50-59	5.7	1,920	1,080	21.32	60
10,525	male	white	en	50-59	13	1,920	1,080	47.02	60
10,526	male	white	en	40-49	12.1	1,920	1,080	28.6	25
10,527	male	white	en	40-49	13.7	1,920	1,080	26.6	25
10,528	male	white	en	40-49	21.4	1,920	1,080	40.72	25
10,529	male	white	en	20-29	143.7	3,840	2,160	24.79	30
10,530	male	white	en	20-29	358.9	3,840	2,160	64.13	30
10,531	male	white	en	20-29	255.5	3,840	2,160	41.84	30
10,532	female	white	en	20-29	105.5	3,840	2,160	44.04	24
10,533	male	white	en	40-49	126.9	3,840	2,160	22.54	59.9
10,534	male	white	en	40-49	175.1	3,840	2,160	32.8	59.9
10,535	male	white	en	40-49	149.1	3,840	2,160	66.35	59.9
10,536	male	white	en	40-49	132.9	3,840	2,160	24.17	59.9
10,537	male	white	en	40-49	125.4	3,840	2,160	22.69	59.9
10,538	male	white	en	20-29	27.4	3,840	2,160	25.29	30
10,539	female	asian	en	20-29	23.7	1,920	1,080	44.19	59.9
10,540	male	black	en	20-29	67.5	3,840	2,160	46.92	60
10,541	male	white	en	30-39	82.9	3,840	2,160	38.04	24
10,542	male	white	en	20-29	39.5	3,840	2,160	28.09	30
10,543	male	white	en	30-39	30.4	3,840	2,160	28.78	24
10,544	male	white	en	30-39	371.9	3,840	2,160	176.79	24
10,545	male	white	en	30-39	43.3	3,840	2,160	23.08	24
10,546	male	white	en	30-39	57.9	3,840	2,160	31.29	24
10,547	female	white	en	30-39	95.2	3,840	2,160	30.17	24
10,548	female	white	en	30-39	350.8	3,840	2,160	97.42	24
10,549	female	white	en	30-39	76.1	3,840	2,160	20.92	24
10,550	female	white	en	30-39	74.2	3,840	2,160	21.92	24
10,551	female	asian	en	20-29	32.9	1,920	1,080	86.6	50
10,552	female	asian	en	20-29	8.4	1,920	1,080	22.5	50
10,553	female	asian	en	20-29	10.6	1,920	1,080	25.26	50
10,554	male	white	en	30-39	31.5	3,840	2,160	20.69	30
10,555	male	white	en	30-39	33.8	3,840	2,160	21.15	30
10,556	male	white	en	30-39	145.6	3,840	2,160	53.75	30
10,557	male	white	en	30-39	176.1	3,840	2,160	66.27	30
10,558	female	white	en	20-29	8.1	1,920	1,080	21.47	30
10,559	female	white	en	20-29	13.3	1,920	1,080	29.83	30
10,560	female	white	en	20-29	20.9	1,920	1,080	47.43	30
10,561	male	white	en	30-39	8	1,920	1,080	30.38	24
10,562	female	white	en	30-39	15.8	1,920	1,080	27.13	30
10,563	male	asian	en	20-29	34.4	1,920	1,080	53.05	30
10,564	male	white	en	40-49	12.2	1,920	1,080	21.2	25
10,565	female	black	en	20-29	39.7	3,840	2,160	21.87	60
10,566	female	black	en	20-29	41	3,840	2,160	22.22	60
10,567	female	black	en	20-29	54.8	3,840	2,160	29.02	60
10,568	female	black	en	20-29	65.2	3,840	2,160	35.42	60
10,569	female	black	en	20-29	57.9	3,840	2,160	31.22	60
10,570	female	black	en	20-29	67.7	3,840	2,160	35.57	60
10,571	female	black	en	20-29	65.7	3,840	2,160	36.67	60
10,572	male	white	en	30-39	45.9	3,840	2,160	28.53	24
10,573	male	white	en	20-29	25.3	1,920	1,080	38.49	59.9
10,574	male	white	en	20-29	20.1	1,920	1,080	23.24	59.9
10,575	male	white	en	20-29	17.4	1,920	1,080	22.01	59.9
10,576	male	white	en	20-29	24.5	1,920	1,080	28.24	59.9
10,577	female	asian	id	20-29	37.5	3,840	2,160	20.19	30
10,578	female	black	en	30-39	112.1	3,840	2,160	46.13	30
10,579	female	black	en	30-39	39.2	3,840	2,160	20.2	30
10,580	female	black	en	20-29	26.2	3,840	2,160	21.43	30
10,581	female	black	en	20-29	101.2	3,840	2,160	85.77	30
10,582	female	black	en	20-29	43.7	3,840	2,160	36.87	30
10,583	male	white	en	30-39	66.1	3,840	2,160	41.44	30
10,584	male	white	en	40-49	392.5	3,840	2,160	158	25
10,585	male	white	en	50-59	119.5	3,840	2,160	31.83	30
10,586	male	white	en	50-59	71.5	3,840	2,160	24.09	30
10,587	male	white	en	50-59	134.7	3,840	2,160	20.49	30
10,588	male	white	en	30-39	49.1	3,840	2,160	35.16	24
10,589	male	white	en	30-39	48	3,840	2,160	33.24	24
10,590	male	black	en	10-19	30.1	1,920	1,080	54.65	30
10,591	male	black	en	10-19	27.6	1,920	1,080	43.64	30
10,592	male	white	en	50-59	59	3,840	2,160	29.61	24
10,593	male	white	en	50-59	87	3,840	2,160	39.79	24
10,594	female	white	en	30-39	210.7	3,840	2,160	94.89	24
10,595	female	white	en	30-39	163.1	3,840	2,160	73.07	24
10,596	female	white	en	30-39	121.4	3,840	2,160	55.35	24
10,597	male	black	en	30-39	118.7	3,840	2,160	62.36	30
10,598	male	white	en	40-49	18.5	1,920	1,080	48.55	59.9
10,599	male	white	en	40-49	13.9	1,920	1,080	34.2	59.9
10,600	male	white	en	40-49	8.9	1,920	1,080	21.52	59.9
10,601	male	asian	af	40-49	194.2	3,840	2,160	114.92	60
10,602	female	black	en	20-29	36.7	3,840	2,160	23.17	30
10,603	female	black	en	20-29	65	3,840	2,160	39.83	30
10,604	female	black	en	20-29	58.4	3,840	2,160	34.73	30
10,605	female	black	en	20-29	85.6	3,840	2,160	49.63	30
10,606	female	black	en	20-29	75.8	3,840	2,160	45.07	30
10,607	female	black	en	20-29	53.1	3,840	2,160	32.43	30
10,608	female	black	en	20-29	63.6	3,840	2,160	36.63	30
10,609	female	black	en	20-29	44.5	3,840	2,160	28.33	30

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