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
4,868	female	white	en	20-29	14	1,920	1,080	47.42	24
4,869	female	white	en	20-29	10.4	1,920	1,080	34.37	24
4,870	male	white	en	40-49	112.5	3,840	2,160	38.94	30
4,871	male	white	en	40-49	169.7	3,840	2,160	60.66	30
4,872	male	white	en	40-49	91.8	3,840	2,160	33.23	30
4,873	male	white	en	40-49	105	3,840	2,160	36.3	30
4,874	male	white	en	40-49	56.9	3,840	2,160	20.39	30
4,875	male	white	en	30-39	81.5	3,840	2,160	35.83	30
4,876	male	white	en	40-49	19.3	1,920	1,080	37.13	60
4,877	male	white	en	40-49	34.5	3,840	2,160	22.2	25
4,878	female	white	en	30-39	25.4	1,920	1,080	25.6	30
4,879	male	asian	en	20-29	28	1,920	1,080	49.76	24
4,880	female	white	en	40-49	12.4	1,920	1,080	28.29	30
4,881	male	black	en	40-49	53.3	3,840	2,160	25.39	30
4,882	male	white	en	20-29	159.5	3,840	2,160	42.89	59.9
4,883	male	white	en	30-39	105.2	3,840	2,160	64.06	30
4,884	male	white	en	20-29	55.1	3,840	2,160	27.69	30
4,885	male	white	en	30-39	10.3	1,920	1,080	30.13	30
4,886	male	white	en	30-39	8.4	1,920	1,080	23.92	30
4,887	male	white	en	30-39	7.5	1,920	1,080	21.02	30
4,888	male	white	en	30-39	15.4	1,920	1,080	43.24	30
4,889	male	white	en	30-39	7.6	1,920	1,080	22.72	30
4,890	male	white	en	20-29	50.2	3,840	2,160	24.96	25
4,891	male	white	en	20-29	37.5	3,840	2,160	23.52	25
4,892	male	white	en	20-29	45.4	3,840	2,160	27.28	25
4,893	male	white	en	20-29	40	3,840	2,160	24.12	25
4,894	male	white	en	30-39	111.9	3,840	2,160	52.34	24
4,895	male	asian	en	30-39	54.1	3,840	2,160	38.87	60
4,896	male	asian	en	30-39	51.6	3,840	2,160	34.42	60
4,897	male	asian	en	30-39	39.9	3,840	2,160	30.52	60
4,898	male	white	en	20-29	46.9	3,840	2,160	45.15	30
4,899	male	white	en	10-19	208	3,840	2,160	67.03	60
4,900	male	white	en	10-19	126.9	3,840	2,160	39.22	60
4,901	male	white	en	10-19	92.1	3,840	2,160	29.67	60
4,902	male	white	en	40-49	44.5	3,840	2,160	24.53	30
4,903	male	white	en	20-29	59.8	3,840	2,160	34.56	25
4,904	male	black	en	30-39	14.4	1,920	1,080	28.99	24
4,905	male	black	en	30-39	15.8	1,920	1,080	30.78	24
4,906	male	black	en	30-39	12.4	1,920	1,080	24.73	24
4,907	male	asian	en	20-29	42.7	3,840	2,160	23.22	60
4,908	male	white	en	20-29	31.2	3,840	2,160	21.12	30
4,909	male	white	en	40-49	20.6	1,920	1,080	23.69	30
4,910	male	white	en	40-49	21.1	1,920	1,080	23.89	30
4,911	male	white	en	40-49	33.9	1,920	1,080	36.9	30
4,912	male	white	en	40-49	43.6	1,920	1,080	51.02	30
4,913	male	white	en	30-39	58.1	3,840	2,160	38.83	24
4,914	male	white	en	30-39	77.6	3,840	2,160	60.02	24
4,915	male	white	en	30-39	47.7	3,840	2,160	34.58	24
4,916	male	white	en	20-29	32.8	3,840	2,160	20.33	30
4,917	female	white	en	60-69	27	1,920	1,080	48.75	30
4,918	female	white	en	60-69	13.3	1,920	1,080	21.92	30
4,919	female	white	en	60-69	10.9	1,920	1,080	20.82	30
4,920	female	white	en	60-69	25.3	1,920	1,080	51.48	30
4,921	female	white	en	60-69	33.6	1,920	1,080	52.62	30
4,922	female	white	en	60-69	16.1	1,920	1,080	32.2	30
4,923	male	white	en	30-39	206.6	3,840	2,160	38.54	30
4,924	female	white	en	30-39	49.7	1,920	1,080	47.97	30
4,925	female	white	en	30-39	57.9	1,920	1,080	52.23	30
4,926	female	white	en	30-39	176.3	1,920	1,080	140.33	30
4,927	male	black	en	30-39	109.1	1,920	1,080	127.2	30
4,928	male	black	en	30-39	8.4	1,920	1,080	22.59	30
4,929	male	white	en	30-39	73.8	3,840	2,160	38.23	30
4,930	male	white	en	30-39	32.4	3,840	2,160	23.13	30
4,931	male	white	en	30-39	56.6	3,840	2,160	27.07	30
4,932	male	white	en	30-39	22.4	1,920	1,080	33.28	24
4,933	male	white	en	30-39	10.8	1,920	1,080	22.32	25
4,934	male	white	en	20-29	153.2	3,840	2,160	53.49	30
4,935	male	white	en	20-29	80.2	3,840	2,160	37.79	24
4,936	female	asian	en	20-29	10.8	1,920	1,080	31.63	30
4,937	female	asian	en	20-29	12.6	1,920	1,080	36.07	30
4,938	female	asian	en	20-29	10.2	1,920	1,080	25.13	30
4,939	female	asian	en	20-29	29.5	1,920	1,080	67.2	30
4,940	male	white	en	30-39	31	3,840	2,160	43.17	24
4,941	male	white	en	30-39	15.7	3,840	2,160	21.6	24
4,942	male	white	en	30-39	38.9	3,840	2,160	47.17	24
4,943	male	white	en	30-39	18.8	3,840	2,160	26.99	24
4,944	male	white	en	30-39	23.2	3,840	2,160	33.37	24
4,945	male	white	en	30-39	37.3	3,840	2,160	57.39	24
4,946	male	white	en	40-49	78.1	3,840	2,160	72.13	30
4,947	male	white	en	40-49	144.5	3,840	2,160	139.93	30
4,948	female	indian	en	20-29	93.7	3,840	2,160	22.7	50
4,949	male	black	en	20-29	27.1	3,840	2,160	23.59	30
4,950	female	white	en	20-29	23.6	1,920	1,080	48.25	59.9
4,951	female	white	en	20-29	23.8	1,920	1,080	50.85	59.9
4,952	male	white	en	40-49	60.8	3,840	2,160	48.33	30
4,953	female	white	en	20-29	46.3	3,840	2,160	23.94	24
4,954	female	white	en	20-29	54.1	3,840	2,160	28.78	24
4,955	male	black	en	20-29	93.8	3,840	2,160	43.21	30
4,956	male	white	en	30-39	32.5	3,840	2,160	24.43	30
4,957	male	asian	en	20-29	10.4	1,920	1,080	32.83	30
4,958	male	white	en	30-39	25.2	3,840	2,160	29.74	24
4,959	male	asian	en	20-29	14.9	1,920	1,080	35.64	30
4,960	male	asian	en	20-29	7	1,920	1,080	20.62	30
4,961	female	black	en	20-29	28.9	1,920	1,080	54.93	24
4,962	male	white	en	20-29	25.4	1,920	1,080	67.02	60
4,963	female	white	en	20-29	219.8	3,840	2,160	81.53	30
4,964	female	white	en	20-29	56.8	3,840	2,160	24.23	30
4,965	female	white	en	20-29	226.7	3,840	2,160	91.33	30
4,966	female	white	en	20-29	78.4	3,840	2,160	28.83	30
4,967	male	white	en	30-39	122.6	3,840	2,160	71.82	60

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