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
12,810	male	white	en	30-39	90.8	3,840	2,160	26.79	30
12,811	male	white	en	30-39	64	3,840	2,160	28.7	30
12,812	male	white	en	30-39	74.8	3,840	2,160	27.33	30
12,813	female	asian	en	20-29	13.5	1,920	1,080	26.27	30
12,814	male	black	en	30-39	40.9	3,840	2,160	33.93	30
12,815	male	white	en	30-39	48.8	3,840	2,160	32.28	25
12,816	male	white	en	30-39	12.6	1,920	1,080	30.23	30
12,817	male	black	en	30-39	10.2	1,920	1,080	31.92	24
12,818	female	white	en	20-29	30.2	3,840	2,160	24.02	24
12,819	female	white	en	20-29	41.7	3,840	2,160	30.28	24
12,820	female	white	en	20-29	39.6	3,840	2,160	30.32	24
12,821	female	white	en	20-29	28.8	3,840	2,160	20.98	24
12,822	female	white	en	20-29	34.6	3,840	2,160	29.57	24
12,823	female	white	en	20-29	49.2	3,840	2,160	40.58	24
12,824	female	white	en	20-29	1,014.2	3,840	2,160	142.39	24
12,825	female	white	en	20-29	627.4	3,840	2,160	89.84	24
12,826	female	black	en	20-29	172.9	3,840	2,160	67.7	30
12,827	male	white	en	20-29	59.6	3,840	2,160	30.23	30
12,828	female	white	en	30-39	73.4	3,840	2,160	32.93	30
12,829	male	white	en	40-49	236.5	3,840	2,160	50.38	24
12,830	male	white	en	30-39	6.7	1,920	1,080	20.49	30
12,831	male	white	en	30-39	11.1	1,920	1,080	34.4	30
12,832	male	white	en	30-39	10.5	1,920	1,080	34.33	30
12,833	male	white	en	50-59	33	3,840	2,160	24.4	24
12,834	male	white	en	40-49	88.6	1,920	1,080	174.91	30
12,835	female	black	en	20-29	67.3	1,920	1,080	93.92	24
12,836	female	black	en	20-29	66.2	1,920	1,080	97.17	24
13,170	female	white	en	20-29	29	1,920	1,080	61.21	24
13,171	female	white	en	20-29	27.6	1,920	1,080	55	24
12,840	male	white	en	30-39	77.9	3,840	2,160	44.14	30
12,841	female	white	en	20-29	116.8	3,840	2,160	87.29	30
12,842	female	white	en	20-29	92.4	3,840	2,160	68.97	30
12,843	female	white	en	20-29	44.6	3,840	2,160	31.2	30
12,844	male	white	en	10-19	26.7	1,920	1,080	70.17	60
12,845	male	white	en	10-19	11.1	1,920	1,080	27.77	60
12,846	male	white	en	10-19	12.1	1,920	1,080	34.28	60
12,847	male	white	en	20-29	9.9	1,920	1,080	20.23	60
12,848	male	white	en	40-49	32.5	1,920	1,080	33.88	59.9
12,849	male	white	en	40-49	29.1	1,920	1,080	31.11	59.9
12,850	male	white	en	40-49	58.4	1,920	1,080	50.9	59.9
12,851	male	indian	en	30-39	168.4	3,840	2,160	117.24	24
12,852	male	indian	en	30-39	65.4	3,840	2,160	46.92	24
12,853	male	white	en	20-29	54.6	3,840	2,160	26.8	60
12,854	male	white	en	50-59	144.5	3,840	2,160	49.45	30
12,855	male	white	en	50-59	61.3	3,840	2,160	22.12	30
12,856	male	white	en	50-59	76	3,840	2,160	25.33	30
12,857	female	white	en	20-29	30.7	3,840	2,160	28.24	24
12,858	female	white	en	20-29	27.4	3,840	2,160	26.61	24
12,859	female	white	en	20-29	64.7	3,840	2,160	27.43	30
12,860	female	white	en	20-29	302.7	3,840	2,160	127.33	30
12,861	female	white	en	20-29	203.6	3,840	2,160	87.77	30
12,862	male	white	en	40-49	22.7	3,840	2,160	23.61	24
12,863	male	asian	en	30-39	21.5	1,920	1,080	32.6	60
12,864	male	asian	en	30-39	14.8	1,920	1,080	23.6	60
12,865	male	asian	en	30-39	38.9	1,920	1,080	51.92	60
12,866	male	asian	en	30-39	28.3	1,920	1,080	53.67	60
12,867	male	asian	en	30-39	13.6	1,920	1,080	24.72	60
12,868	male	asian	en	30-39	12.8	1,920	1,080	23.1	60
12,869	male	white	en	30-39	24.1	1,920	1,080	47.11	30
12,870	male	white	en	30-39	84.3	1,920	1,080	163.63	30
12,871	male	white	en	20-29	77	3,840	2,160	42.11	30
12,872	male	white	en	20-29	38.6	3,840	2,160	20.39	30
12,873	male	white	en	30-39	21.4	3,840	2,160	22.92	25
12,874	male	white	en	30-39	11.8	1,920	1,080	30.33	30
12,875	male	white	en	30-39	9.8	1,920	1,080	21.33	60
12,876	male	white	en	30-39	9.5	1,920	1,080	25.07	60
12,877	male	white	en	40-49	53.5	3,840	2,160	27.79	30
12,878	male	white	en	40-49	70	3,840	2,160	39.34	30
12,879	male	white	en	40-49	53	3,840	2,160	28.13	30
12,880	male	white	en	30-39	24.5	2,560	1,440	21.96	59.9
12,881	male	white	en	20-29	89.3	3,840	2,160	21.3	30
12,882	male	white	en	20-29	119.8	3,840	2,160	28.73	30
12,883	male	white	en	20-29	85.8	3,840	2,160	20.03	30
12,884	male	white	en	40-49	46.4	3,840	2,160	26.57	30
12,885	male	white	en	40-49	38.8	3,840	2,160	21.43	30
12,886	male	white	en	40-49	46.4	3,840	2,160	29.53	30
12,887	male	asian	en	30-39	35.3	1,920	1,080	42.28	30
12,888	male	white	en	20-29	8.2	1,920	1,080	24.42	30
12,889	male	white	en	20-29	30.9	3,840	2,160	20.69	30
12,890	male	white	en	20-29	40	3,840	2,160	26.39	30
12,891	male	white	en	20-29	50.8	3,840	2,160	33.1	30
12,892	male	white	en	20-29	15.4	1,920	1,080	49.53	30
12,893	male	white	en	20-29	50.4	1,920	1,080	164.1	30
12,894	male	white	en	30-39	20.2	1,920	1,080	47.92	24
12,895	male	white	en	30-39	10.1	1,920	1,080	22.44	24
12,896	male	white	en	30-39	8.4	1,920	1,080	22.77	24
12,897	male	white	en	30-39	18.3	1,920	1,080	43.21	24
12,898	male	white	en	30-39	45	1,920	1,080	104.73	24
12,899	male	white	en	30-39	9	1,920	1,080	22.02	24
12,900	male	white	en	30-39	10.2	1,920	1,080	26.65	24
12,901	male	white	en	30-39	15.1	1,920	1,080	20.59	30
12,902	male	indian	en	30-39	8.7	1,920	1,080	20.13	30
12,903	male	asian	en	30-39	87	3,840	2,160	25.98	59.9
12,904	male	asian	en	30-39	98.5	3,840	2,160	33.48	59.9
12,905	male	asian	en	20-29	9.5	1,920	1,080	23.02	24
12,906	male	asian	en	20-29	27.8	1,920	1,080	33.03	24
12,907	male	white	en	30-39	38.5	3,840	2,160	26.23	24
12,908	male	white	en	20-29	29.8	3,840	2,160	21.54	24
12,909	male	white	en	30-39	109.6	3,840	2,160	44.42	50
12,910	male	white	en	30-39	82.7	3,840	2,160	31.4	50

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