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
9,806	male	white	en	20-29	30.3	3,840	2,160	20.39	30
9,807	male	black	en	30-39	15.1	1,920	1,080	39.28	25
9,808	male	black	en	30-39	10.3	1,920	1,080	31.28	25
9,809	male	black	en	30-39	15.1	1,920	1,080	45.08	25
9,810	male	black	en	30-39	12.3	1,920	1,080	37.12	25
9,811	female	white	en	20-29	16.7	1,920	1,080	22.11	24
9,812	female	white	en	20-29	16.3	1,920	1,080	21.35	24
9,813	male	white	en	20-29	7.1	1,920	1,080	28.36	30
9,814	female	asian	en	20-29	23.3	1,920	1,080	29.7	30
9,815	female	asian	en	20-29	17.4	1,920	1,080	23.49	30
9,816	female	asian	en	20-29	28.4	1,920	1,080	34.47	30
9,817	female	asian	en	20-29	21.6	1,920	1,080	27.73	30
9,818	female	asian	en	20-29	46.1	1,920	1,080	53.25	30
9,819	female	asian	en	20-29	23.9	1,920	1,080	29.23	30
9,820	female	asian	en	20-29	23.6	1,920	1,080	27.56	30
9,821	female	asian	en	20-29	34.6	1,920	1,080	40.54	30
9,822	male	black	en	20-29	22.1	1,920	1,080	45.17	30
9,823	male	asian	en	20-29	29.4	1,920	1,080	47.55	24
9,824	male	white	en	40-49	106.2	1,920	1,080	39.67	59.9
9,825	male	white	en	40-49	45.8	1,920	1,080	34	59.9
9,826	female	black	en	20-29	35.7	1,920	1,080	61.63	30
9,827	female	black	en	20-29	106.8	1,920	1,080	177.91	30
9,828	female	black	en	20-29	39	1,920	1,080	65.06	30
9,829	female	black	en	20-29	21.7	1,920	1,080	34.2	30
9,830	female	black	en	20-29	20.1	1,920	1,080	33.6	30
9,831	female	black	en	20-29	15.1	1,920	1,080	23.39	30
9,832	male	white	en	30-39	39.2	3,840	2,160	26.33	30
9,833	male	white	en	30-39	15.5	1,920	1,080	44.94	30
9,834	male	white	en	30-39	17.3	1,920	1,080	20.67	59.9
9,835	male	white	en	30-39	109	3,840	2,160	34.28	25
9,836	male	white	en	30-39	64.6	3,840	2,160	37.14	30
9,837	male	white	en	30-39	10.5	1,920	1,080	25.04	25
9,838	male	white	en	30-39	26.7	3,840	2,160	22.44	25
9,839	male	indian	en	30-39	18.7	3,840	2,160	24.22	30
9,840	male	indian	en	30-39	17.2	3,840	2,160	44.31	30
9,841	male	indian	en	30-39	14.3	3,840	2,160	20.39	30
9,842	male	indian	en	30-39	12.4	3,840	2,160	21.99	30
9,843	male	indian	en	30-39	31.7	3,840	2,160	76.61	30
9,844	male	indian	en	30-39	21.4	3,840	2,160	30.8	30
9,845	male	white	en	30-39	13.3	1,920	1,080	33.63	30
9,846	male	white	en	30-39	19.8	1,920	1,080	50.35	30
9,847	male	white	en	40-49	11.8	1,920	1,080	21.42	30
9,848	male	white	en	50-59	35.9	1,920	1,080	94.4	30
9,849	male	white	en	50-59	57.2	1,920	1,080	140.43	30
9,850	male	white	en	50-59	12.5	1,920	1,080	34.73	30
9,851	female	white	en	40-49	43.3	3,840	2,160	26.78	24
9,852	female	white	en	40-49	64.9	3,840	2,160	38.87	24
9,853	female	white	en	40-49	33.8	3,840	2,160	20.15	24
9,854	female	asian	en	20-29	28.6	1,920	1,080	44.28	30
9,855	female	asian	en	20-29	18.6	1,920	1,080	29.56	30
9,856	female	asian	en	20-29	33.1	1,920	1,080	52.35	30
9,857	female	asian	en	20-29	79.6	1,920	1,080	121.82	30
9,858	male	white	en	40-49	85.7	3,840	2,160	21.13	29.7
9,859	female	white	en	20-29	82.2	3,840	2,160	53.54	24
9,860	female	white	en	20-29	40.8	3,840	2,160	25.67	24
9,861	female	white	en	20-29	46.2	3,840	2,160	29.29	24
9,862	male	asian	en	40-49	35.7	1,920	1,080	39.04	30
9,863	male	white	en	30-39	47	3,840	2,160	29.66	30
9,864	female	white	cy	40-49	38.7	3,840	2,160	25	50
9,865	female	white	cy	40-49	63.5	3,840	2,160	37.44	50
9,866	male	white	en	30-39	39.7	3,840	2,160	29.03	24
9,867	male	white	en	40-49	131.6	3,840	2,160	39.67	60
9,868	male	white	en	20-29	49.7	1,920	1,080	120.22	30
9,869	male	white	en	20-29	18.9	1,920	1,080	44.18	30
9,870	male	white	en	20-29	17.7	1,920	1,080	40.24	30
9,871	male	white	en	40-49	28.3	1,920	1,080	72.47	30
9,872	male	white	en	40-49	10.3	1,920	1,080	22.12	30
9,873	male	asian	en	30-39	19.8	1,920	1,080	44.03	59.9
9,874	male	asian	en	30-39	22.7	1,920	1,080	48.25	59.9
9,875	male	white	en	20-29	21.5	1,920	1,080	45.25	30
9,876	male	white	en	20-29	11.6	1,920	1,080	25.23	30
9,877	male	white	en	20-29	13.3	1,920	1,080	27.53	30
9,878	male	white	en	20-29	20.5	1,920	1,080	46.18	30
9,879	male	white	en	20-29	28	3,840	2,160	20.88	25
9,880	male	white	en	20-29	33.5	3,840	2,160	24.96	25
9,881	male	white	en	20-29	81	3,840	2,160	25.44	25
9,882	male	white	en	20-29	41.1	3,840	2,160	25.08	25
9,883	female	black	en	30-39	66.1	3,840	2,160	33.91	24
9,884	female	black	en	30-39	68.5	3,840	2,160	32.99	24
9,885	male	white	en	20-29	14.8	1,920	1,080	23.67	30
9,886	male	white	en	20-29	10.8	1,920	1,080	21.27	30
9,887	female	white	en	30-39	104.4	3,840	2,160	31.26	59.9
9,888	female	white	en	30-39	77.7	3,840	2,160	21.6	59.9
9,889	female	white	en	30-39	99.9	3,840	2,160	28.51	59.9
9,890	female	white	en	30-39	78.8	3,840	2,160	22.07	59.9
9,891	female	white	en	30-39	71.8	3,840	2,160	20.07	59.9
9,892	female	white	en	30-39	140.5	3,840	2,160	39.96	59.9
9,893	male	white	en	30-39	11.9	1,920	1,080	28.53	60
9,894	male	white	en	30-39	34.1	1,920	1,080	69.96	25
9,895	male	white	en	30-39	20	1,920	1,080	39.36	25
9,896	male	white	en	30-39	12.4	1,920	1,080	25.32	25
9,897	male	white	en	30-39	28.5	1,920	1,080	53.88	25
9,898	male	white	en	30-39	12.1	1,920	1,080	25.08	25
9,899	female	asian	en	30-39	9.7	1,920	1,080	29.11	24
9,900	male	white	en	20-29	33	3,840	2,160	21	25
9,901	male	white	en	20-29	152.2	3,840	2,160	96	25
9,902	female	white	en	20-29	13.3	1,920	1,080	20.9	59.9
9,903	female	white	en	20-29	17.1	1,920	1,080	22.14	59.9
9,904	female	white	en	20-29	14.8	1,920	1,080	21	59.9
9,905	male	white	en	30-39	28.4	1,920	1,080	21.82	30

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