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
10,810	male	asian	en	10-19	62.2	3,840	2,160	55.05	24
10,811	male	asian	en	10-19	31.3	3,840	2,160	25.48	24
10,812	male	asian	en	10-19	90.3	3,840	2,160	87.09	24
10,813	male	asian	en	10-19	36.5	3,840	2,160	34.99	24
10,814	male	asian	en	10-19	45.8	3,840	2,160	39.66	24
10,815	male	asian	en	10-19	55.4	3,840	2,160	48.55	24
10,816	male	asian	en	10-19	31.3	3,840	2,160	27.61	24
10,817	male	asian	en	10-19	38.6	3,840	2,160	36.79	24
10,818	female	white	en	20-29	108.1	3,456	2,160	52.73	30
10,819	female	white	en	20-29	118.4	3,456	2,160	65.23	30
10,820	female	white	en	20-29	103.7	3,456	2,160	60.23	30
10,821	male	black	en	20-29	19.1	1,920	1,080	59.73	24
10,822	male	black	en	20-29	10.3	1,920	1,080	36.12	24
10,823	male	black	en	20-29	6.7	1,920	1,080	21.15	24
10,824	male	black	en	20-29	8.6	1,920	1,080	28.11	24
10,825	male	white	en	40-49	97.6	3,840	2,160	48.8	24
10,826	male	white	en	30-39	45.8	3,840	2,160	37.91	24
10,827	male	asian	en	20-29	67.5	3,840	2,160	35.95	24
10,828	male	asian	en	20-29	65.9	3,840	2,160	33.74	24
10,829	male	asian	en	20-29	331.2	3,840	2,160	157.03	24
10,830	male	asian	en	20-29	47.8	3,840	2,160	20.56	24
10,831	female	white	en	20-29	15.5	1,920	1,080	34.33	24
10,832	female	white	en	20-29	17.5	1,920	1,080	43.46	24
10,833	male	white	bg	30-39	28.9	3,840	2,160	20.77	24
10,834	male	white	bg	30-39	49	3,840	2,160	26.61	24
10,835	male	white	bg	30-39	59	3,840	2,160	28.61	24
10,836	male	indian	en	30-39	28	3,840	2,160	23.11	24
10,837	male	indian	en	30-39	46.2	3,840	2,160	37	24
10,838	male	indian	en	30-39	42.8	3,840	2,160	33.53	24
10,839	male	indian	en	30-39	34.7	3,840	2,160	35.45	24
10,840	male	white	en	20-29	28.4	3,840	2,160	28.78	24
10,841	male	white	en	20-29	111.5	3,840	2,160	78.7	24
10,842	male	white	en	20-29	16.7	3,840	2,160	20.32	30
10,843	male	white	en	20-29	18.7	3,840	2,160	24.12	30
10,844	male	asian	en	20-29	44	3,840	2,160	23.4	24
10,845	male	white	en	20-29	13.5	1,920	1,080	41.83	30
10,846	male	white	en	20-29	39	1,920	1,080	104.33	30
10,847	male	black	en	20-29	10.8	1,920	1,080	20.27	24
10,848	male	black	en	20-29	17.4	1,920	1,080	34.33	24
10,849	male	white	en	20-29	48.3	3,840	2,160	35.95	24
10,850	male	white	en	20-29	10.6	1,280	720	27.36	25
10,851	male	white	en	20-29	9.2	1,280	720	23.92	25
10,852	male	white	en	20-29	9.3	1,280	720	24.32	25
10,853	male	white	en	20-29	36.3	1,280	720	97.24	25
10,854	male	white	en	10-19	68.6	3,840	2,160	74.16	24
10,855	male	white	en	10-19	77.3	3,840	2,160	82.67	24
10,856	male	white	en	10-19	27.3	3,840	2,160	29.36	24
10,857	male	white	en	10-19	19.9	3,840	2,160	21.35	24
10,858	female	white	en	30-39	48.2	3,840	2,160	39.56	25
10,859	male	white	en	30-39	89.8	3,840	2,160	39.87	24
10,860	female	white	en	20-29	35.8	3,840	2,160	20.09	30
10,861	female	white	en	20-29	81.6	3,840	2,160	46.55	30
10,862	female	white	en	20-29	76	3,840	2,160	46.41	30
10,863	female	white	en	20-29	163.9	3,840	2,160	79.18	30
10,864	female	white	en	20-29	118.3	3,840	2,160	62.23	30
10,865	female	white	en	20-29	96.5	3,840	2,160	55.76	30
10,866	female	white	en	20-29	41.7	3,840	2,160	26.59	30
10,867	male	white	en	60-69	132.7	3,840	2,160	30.9	30
10,868	male	white	en	40-49	299.5	3,840	2,160	88.8	30
10,869	male	white	en	40-49	111.7	3,840	2,160	32.03	30
10,870	male	white	en	40-49	224	3,840	2,160	63.2	30
10,871	male	white	en	40-49	157.5	3,840	2,160	50.63	30
10,872	male	white	en	40-49	93.5	3,840	2,160	27.83	30
10,873	male	white	en	30-39	39.5	3,840	2,160	59.16	25
10,874	male	white	en	30-39	13.2	3,840	2,160	21	25
10,875	male	white	en	30-39	15.4	3,840	2,160	22.44	25
10,876	male	black	en	30-39	71.8	3,840	2,160	38.54	24
10,877	male	white	en	20-29	10.4	1,920	1,080	43.17	30
10,878	male	white	en	30-39	51.7	3,840	2,160	31.08	25
10,879	male	white	en	30-39	59.9	3,840	2,160	37.24	25
10,880	male	white	en	30-39	103.3	3,840	2,160	63.48	25
10,881	male	white	en	30-39	51	3,840	2,160	34.08	25
10,882	male	white	en	30-39	59.3	3,840	2,160	41.04	25
10,883	male	white	en	50-59	27.7	1,920	1,080	46.27	60
10,884	male	white	en	50-59	17.1	1,920	1,080	26.92	60
10,885	male	white	en	50-59	54.1	1,920	1,080	74.37	60
10,886	female	white	en	20-29	5.9	1,920	1,080	20.6	24
10,887	male	white	en	50-59	28.1	1,920	1,080	77.16	59.9
10,888	male	asian	en	20-29	94	3,840	2,160	50.55	30
10,889	male	asian	en	20-29	70.5	3,840	2,160	38.2	30
10,890	male	asian	en	20-29	102.4	3,840	2,160	60.86	30
10,891	male	white	en	30-39	8.7	1,920	1,080	22.33	30
10,892	male	white	en	30-39	10.1	1,920	1,080	28.8	30
10,893	female	white	en	20-29	84.3	3,840	2,160	48.55	24
10,894	female	white	en	20-29	38.4	3,840	2,160	22.86	24
10,895	female	white	en	20-29	47.1	3,840	2,160	28.11	24
10,896	male	white	en	30-39	89.9	3,840	2,160	58.02	24
10,897	female	asian	en	20-29	11.5	1,920	1,080	36	25
10,898	female	asian	en	20-29	21.9	1,920	1,080	68.76	25
10,899	female	asian	en	20-29	17.4	1,920	1,080	56.88	25
10,900	female	asian	en	20-29	12.1	1,920	1,080	32.88	25
10,901	female	asian	en	20-29	17.1	1,920	1,080	50.08	25
10,902	female	asian	en	20-29	14.1	1,920	1,080	44.76	25
10,903	male	white	en	20-29	341.2	3,840	2,160	153.55	30
10,904	male	white	en	20-29	368.3	3,840	2,160	157.22	30
10,905	male	asian	en	20-29	49.6	3,840	2,160	41.21	59.7
10,906	male	asian	en	20-29	39.4	3,840	2,160	33.58	59.7
10,907	male	asian	en	20-29	22.4	3,840	2,160	20.17	59.7
10,908	male	asian	en	20-29	23.8	3,840	2,160	21.02	59.7
10,909	male	asian	en	20-29	111.4	3,840	2,160	97.96	59.7

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