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
11,709	male	white	en	30-39	25.6	2,240	1,440	37.63	30
11,710	male	white	en	30-39	10	2,240	1,440	34.03	30
11,711	female	white	en	30-39	38.2	1,920	1,080	30.13	59.9
11,712	female	white	en	30-39	28.1	1,920	1,080	24.12	59.9
11,713	male	white	en	50-59	123.7	3,840	2,160	42.46	24
11,714	male	white	en	40-49	49.5	3,840	2,160	35.29	24
11,715	male	white	en	40-49	17.1	1,920	1,080	20.42	30
11,716	male	white	en	40-49	57	1,920	1,080	81.28	30
11,717	male	white	en	30-39	20.6	2,172	1,080	29.63	30
11,718	male	white	en	30-39	21.7	3,840	2,160	22.62	24
11,719	male	white	en	30-39	22.6	3,840	2,160	22.29	24
11,720	male	white	en	30-39	22.6	3,840	2,160	21.54	24
11,721	male	white	en	30-39	55.5	3,840	2,160	53.67	24
11,722	male	white	en	30-39	27.7	3,840	2,160	28.79	24
11,723	male	white	en	30-39	20.9	3,840	2,160	21.46	24
11,724	male	asian	en	30-39	28.9	3,840	2,160	31.03	24
11,725	male	white	en	30-39	33.6	3,840	2,160	23.1	30
11,726	male	black	en	20-29	50.5	3,840	2,160	34.99	24
11,727	male	black	en	20-29	54.4	3,840	2,160	36.75	24
11,728	male	black	en	20-29	62.1	3,840	2,160	43.29	24
11,729	male	black	en	20-29	63.1	3,840	2,160	41.92	24
11,730	male	white	en	30-39	37.4	3,840	2,160	31.28	24
11,731	male	white	en	30-39	26.2	3,840	2,160	20.85	24
11,732	male	white	en	30-39	10.9	1,920	1,080	29.6	30
11,733	male	white	en	20-29	92.5	3,840	2,160	42.91	30
11,734	male	white	en	20-29	65	3,840	2,160	32.7	30
11,735	male	white	en	30-39	18.9	1,920	1,080	27.39	30
11,736	male	white	en	30-39	25.5	1,920	1,080	33.1	30
11,737	male	white	en	30-39	46.2	1,920	1,080	60.66	30
11,738	male	white	en	30-39	39.8	1,920	1,080	51.72	30
11,739	male	white	en	30-39	28.4	1,920	1,080	36.64	30
11,740	male	white	en	30-39	67.1	1,920	1,080	88.99	30
11,741	male	white	en	30-39	50.8	3,840	2,160	22.49	30
11,742	male	white	en	30-39	35.9	1,920	1,080	60.93	30
11,743	male	white	en	40-49	16.1	1,920	1,080	45.43	30
11,744	male	white	en	40-49	13.2	1,920	1,080	32.03	30
11,745	male	white	en	40-49	7.5	1,920	1,080	21.73	30
11,746	male	white	en	30-39	44.9	1,920	1,080	65.23	30
11,747	male	white	en	30-39	96.1	1,920	1,080	138.13	30
11,748	male	white	en	30-39	19.8	1,920	1,080	38.03	30
11,749	male	white	en	30-39	16	1,920	1,080	20.93	30
11,750	male	white	en	30-39	73.5	1,920	1,080	109.03	30
11,751	male	white	en	20-29	10.7	1,920	1,080	37.2	30
11,752	male	white	en	20-29	7.3	1,920	1,080	27.59	30
11,753	male	asian	en	20-29	87.4	3,840	2,160	27.03	30
11,754	male	white	en	30-39	12.5	1,920	1,080	45.33	30
11,755	female	white	en	70+	19.5	1,920	1,080	44.6	30
11,756	female	white	en	70+	27.6	1,920	1,080	64.53	30
11,757	female	white	en	70+	11.7	1,920	1,080	31.03	30
11,758	female	white	en	70+	63.1	1,920	1,080	145.47	30
11,759	female	white	en	60-69	28.8	1,920	1,080	63.86	30
11,760	male	white	en	20-29	9.6	1,920	1,080	20.1	24
11,809	male	white	en	30-39	26.5	1,920	1,080	49	59.9
11,761	male	white	en	20-29	10.7	1,920	1,080	27.4	24
11,762	male	white	en	20-29	10.3	1,920	1,080	28.53	24
11,763	male	white	en	20-29	45.8	3,840	2,160	21.37	30
11,764	male	white	en	30-39	27	1,280	720	71.97	30
11,765	male	white	en	30-39	18.4	1,280	720	44.94	30
11,766	male	white	en	30-39	50.9	3,840	2,160	25.33	30
11,767	male	white	en	40-49	19.8	1,920	1,080	26.43	30
11,768	male	white	en	30-39	85.2	3,840	2,160	41.83	30
11,769	male	white	en	30-39	131.7	3,840	2,160	80.27	30
11,770	male	black	en	40-49	328.5	3,840	2,160	160.04	24
11,771	male	black	en	40-49	62.1	3,840	2,160	30.92	24
11,772	male	black	en	40-49	184.1	3,840	2,160	93.58	24
11,773	male	white	en	20-29	104.5	3,840	2,160	48.92	24
11,774	male	white	en	20-29	111.7	3,840	2,160	57.52	24
11,775	male	white	en	20-29	96.1	3,840	2,160	54.51	24
11,776	female	white	en	20-29	39.3	1,920	1,080	65.97	30
11,777	female	white	en	20-29	26.2	1,920	1,080	49.88	30
11,778	female	white	en	20-29	13.4	1,920	1,080	22.56	30
11,779	female	white	en	20-29	20.6	1,920	1,080	38.04	30
11,780	female	white	en	20-29	21.1	1,920	1,080	39.31	30
11,781	female	white	en	20-29	37.2	1,920	1,080	71.54	30
11,782	female	white	en	20-29	20.5	1,920	1,080	37.54	30
11,783	male	white	en	30-39	59.7	3,840	2,160	24.66	59.9
11,784	male	white	en	30-39	217.5	3,840	2,160	80.15	59.9
11,785	male	white	en	30-39	99.4	3,840	2,160	39.94	59.9
11,786	male	white	en	30-39	73.8	3,840	2,160	29.15	59.9
11,787	male	white	en	30-39	96.2	3,840	2,160	38.86	59.9
11,788	male	white	en	30-39	184.1	3,840	2,160	63.63	59.9
11,789	male	asian	en	20-29	16.6	1,920	1,080	22.65	24
11,790	male	asian	en	20-29	35.3	1,920	1,080	52.76	24
11,791	male	asian	en	20-29	25.6	1,920	1,080	35.45	24
11,792	male	white	en	50-59	4.8	1,920	1,080	20.32	30
11,793	male	white	en	20-29	40.2	1,920	1,080	63.93	30
11,794	female	black	en	30-39	23.5	1,920	1,080	24.65	24
11,795	male	white	en	20-29	15.2	1,920	1,080	27.24	59.9
11,796	male	white	en	20-29	13.6	1,920	1,080	24.32	59.9
11,797	male	white	en	20-29	55.5	3,840	2,160	37.8	25
11,798	male	white	en	20-29	88.7	3,840	2,160	62.64	25
11,799	female	white	en	20-29	56.1	1,920	1,080	109.11	30
11,800	female	white	en	20-29	57.3	1,920	1,080	97.4	30
11,801	female	white	en	20-29	53	1,920	1,080	85.59	30
11,802	female	white	en	20-29	15.4	1,920	1,080	22.26	30
11,803	female	white	en	20-29	37.9	1,920	1,080	59.63	30
11,804	female	white	en	20-29	18.2	1,920	1,080	36.64	30
11,805	male	white	en	50-59	26.8	3,840	2,160	25.63	30
11,806	male	white	en	50-59	28	3,840	2,160	22.49	30
11,807	male	white	en	50-59	26.2	3,840	2,160	26.89	30

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