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
25,806	female	white	cs	20-29	28.8	1,920	1,080	62.73	30
25,807	female	white	cs	20-29	13.2	1,920	1,080	28.07	30
25,808	female	white	cs	20-29	15.4	1,920	1,080	36.47	30
25,809	female	white	cs	20-29	18.3	1,920	1,080	42.13	30
25,810	female	white	cs	20-29	14.2	1,920	1,080	30.2	30
25,811	female	white	cs	20-29	27.9	1,920	1,080	59.5	30
25,812	female	white	cs	20-29	22.6	1,920	1,080	50.83	30
25,813	female	white	cs	20-29	10.8	1,920	1,080	22.73	30
25,814	female	white	cs	20-29	9.6	1,920	1,080	22.73	30
25,815	female	white	cs	20-29	13.2	1,920	1,080	28.87	30
25,816	female	white	cs	20-29	9.7	1,920	1,080	22.17	30
25,817	female	white	cs	20-29	24.8	1,920	1,080	56.43	30
25,818	female	white	cs	20-29	29.4	1,920	1,080	65.27	30
25,819	female	white	en	20-29	7.1	1,920	1,080	39.74	30
25,820	female	white	en	20-29	23.7	1,920	1,080	32.87	30
25,821	male	white	sk	30-39	61.2	3,840	2,160	21.28	25
25,822	male	white	sk	30-39	30.9	3,840	2,160	25.92	25
25,823	male	white	sk	30-39	67.8	3,840	2,160	52.2	25
25,824	male	white	en	20-29	78.6	3,840	2,160	26.16	25
25,825	male	white	en	20-29	76.1	3,840	2,160	34.2	25
25,826	male	white	en	20-29	74	3,840	2,160	25.2	25
25,827	male	white	en	20-29	98.1	3,840	2,160	33.16	25
25,828	male	white	en	20-29	113.5	3,840	2,160	37.8	25
25,829	male	asian	en	30-39	54.8	3,840	2,160	22.15	24
25,830	female	white	en	30-39	77.3	3,840	2,160	34.63	30
25,831	female	white	en	30-39	46.6	3,840	2,160	20.45	30
25,832	female	white	en	30-39	46.1	3,840	2,160	22.06	30
25,833	female	white	en	30-39	45.9	3,840	2,160	22.26	30
25,834	female	white	en	30-39	84.8	3,840	2,160	39.54	30
25,835	female	white	en	30-39	157.6	3,840	2,160	77.18	30
25,836	female	white	en	30-39	228.1	3,840	2,160	118.49	30
25,837	female	white	en	30-39	244	3,840	2,160	110.41	30
25,838	female	white	en	30-39	41.7	3,840	2,160	23.22	30
25,839	female	white	en	30-39	81.2	3,840	2,160	39.74	30
25,840	female	white	en	30-39	170.2	3,840	2,160	78.61	30
28,491	female	black	no	30-39	59.1	1,920	1,080	74.68	25
25,842	female	white	en	30-39	51.3	3,840	2,160	25.19	30
25,843	female	white	en	30-39	101.9	3,840	2,160	57.06	30
28,492	female	black	no	30-39	20.3	1,920	1,080	28.8	25
25,845	female	white	en	20-29	17.4	1,920	1,080	30.08	25
25,846	female	white	en	20-29	37.8	1,920	1,080	93.84	25
25,847	female	white	en	30-39	43.8	1,920	1,080	134.7	30
25,848	female	white	en	30-39	51.9	1,920	1,080	178.48	30
25,849	female	white	en	20-29	16.8	1,920	1,080	25.16	50
25,850	male	black	hi	20-29	47.9	2,560	1,440	24.47	60
25,851	male	black	hi	20-29	57.4	2,560	1,440	35.73	60
25,852	female	white	en	20-29	25.3	1,920	1,080	63.84	25
25,853	female	white	en	20-29	22.4	1,920	1,080	51.48	25
25,854	female	white	en	20-29	27.6	1,920	1,080	63.04	25
25,855	female	white	en	20-29	13.4	1,920	1,080	31.92	25
25,856	female	white	en	20-29	15.9	1,920	1,080	40.08	25
25,857	female	white	en	20-29	15.5	1,920	1,080	39.12	25
25,858	female	black	en	30-39	13.7	1,920	1,080	23.12	25
25,859	female	black	en	30-39	29.3	1,920	1,080	40.68	25
25,860	female	black	en	30-39	81.5	1,920	1,080	120.36	25
25,861	female	black	en	30-39	38.4	1,920	1,080	51	25
25,862	female	black	en	30-39	28.5	1,920	1,080	37.92	25
25,863	female	black	en	30-39	16.2	1,920	1,080	21.44	25
25,864	female	black	en	30-39	85.7	1,920	1,080	109.4	25
25,865	female	black	en	30-39	19	1,920	1,080	25.4	25
25,866	female	asian	es	20-29	14.8	1,920	1,080	39.84	30
25,867	male	black	en	3-9	7.3	1,280	720	22.02	30
25,868	male	white	en	30-39	28.3	3,840	2,160	21.29	30
25,869	male	white	cs	30-39	64.4	3,840	2,160	50.52	25
25,870	female	asian	en	20-29	46.8	1,920	1,080	55.46	30
25,871	female	asian	en	20-29	29.9	1,920	1,080	42.64	30
25,872	female	asian	en	20-29	22	1,920	1,080	29.33	30
25,873	female	asian	en	20-29	12.2	1,920	1,080	21.42	30
25,874	female	asian	en	20-29	17.9	1,920	1,080	26.39	30
25,875	female	asian	en	20-29	25.2	1,920	1,080	33.07	30
25,876	female	asian	en	20-29	87	1,920	1,080	114.15	30
25,877	female	asian	en	20-29	23.6	1,920	1,080	28.83	30
25,878	male	white	en	30-39	26.9	1,920	1,080	29.23	30
25,879	male	white	en	30-39	39.8	1,920	1,080	49.77	30
25,880	female	white	en	30-39	18.7	1,920	1,080	27.39	30
25,881	female	white	en	30-39	17.9	1,920	1,080	25.39	30
25,882	female	white	en	30-39	17.8	1,920	1,080	23.89	30
25,883	female	white	en	30-39	17.3	1,920	1,080	24.39	30
25,884	female	white	en	30-39	26	1,920	1,080	36.24	30
25,885	female	white	en	30-39	26.6	1,920	1,080	35	30
25,886	female	white	en	30-39	15	1,920	1,080	20.29	30
25,887	female	white	en	30-39	24.6	1,920	1,080	34.07	30
25,888	female	white	en	30-39	26.3	1,920	1,080	36.07	30
25,889	female	white	en	30-39	14.9	1,920	1,080	21.05	30
25,890	female	white	en	30-39	29.7	1,920	1,080	42.14	30
25,891	female	black	en	40-49	6.9	1,280	720	21.48	25
25,892	female	white	cs	20-29	10	1,920	1,080	47.51	24
25,893	female	white	cs	20-29	24.1	1,920	1,080	83.46	24
25,894	female	white	cs	20-29	47	1,920	1,080	168.33	24
25,895	female	white	cs	20-29	22.1	1,920	1,080	83.17	24
25,896	female	white	cs	20-29	24.3	1,920	1,080	92.26	24
25,897	female	white	cs	20-29	6.8	1,920	1,080	26.48	24
25,898	female	white	cs	20-29	11	1,920	1,080	51.89	24
25,899	female	white	cs	20-29	13.5	1,920	1,080	29.61	24
25,900	female	white	cs	20-29	73	1,920	1,080	137.26	24
25,901	female	white	cs	20-29	200.8	1,920	1,080	178.3	24
25,902	female	white	en	30-39	62	1,920	1,080	62.61	59.9
25,903	female	white	en	30-39	27.1	1,920	1,080	26.49	59.9
25,904	female	white	en	20-29	48.5	1,920	1,080	129.86	30
25,905	female	white	en	20-29	15.9	1,920	1,080	41.37	30

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