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
6,870	male	white	en	30-39	39	3,840	2,160	23.52	24
6,871	male	white	en	20-29	98.8	3,840	2,160	37.54	30
6,872	male	white	en	20-29	69.3	3,840	2,160	26.29	30
6,873	male	white	en	20-29	212.7	3,840	2,160	79.15	30
6,874	male	white	en	20-29	234.6	3,840	2,160	91.79	30
6,875	male	white	en	20-29	62	3,840	2,160	23.09	30
6,876	male	asian	en	20-29	48.7	3,840	2,160	31.41	24
6,877	male	white	en	30-39	5.6	1,920	1,080	20.81	24
6,878	male	white	en	30-39	21.8	1,920	1,080	83.96	24
6,879	male	white	en	30-39	6	1,920	1,080	25.44	24
6,880	male	white	en	30-39	9.3	1,920	1,080	41.88	24
6,881	male	white	en	30-39	11.6	1,920	1,080	53.01	24
6,882	male	white	en	30-39	20.6	1,920	1,080	81.71	24
6,883	male	white	en	40-49	52.4	3,840	2,160	24.92	24
6,884	male	white	en	40-49	50.3	3,840	2,160	40.29	24
6,885	male	white	en	40-49	205.1	3,840	2,160	169.46	24
6,886	male	white	en	40-49	45	3,840	2,160	27.33	24
6,887	male	white	en	40-49	23.9	3,840	2,160	20.67	24
6,888	female	white	en	30-39	36.7	3,840	2,160	20.59	30
6,889	female	white	en	30-39	61.9	3,840	2,160	36.1	30
6,890	female	white	en	30-39	45.9	3,840	2,160	20.79	30
6,891	male	white	en	40-49	15.2	1,920	1,080	21.65	24
6,892	male	white	en	50-59	13.4	1,920	1,080	48.3	24
6,893	male	white	en	50-59	10.6	1,920	1,080	41.54	24
6,894	male	white	en	50-59	22.9	1,920	1,080	90.59	24
6,895	male	white	en	30-39	57.4	3,840	2,160	53.28	25
6,896	male	white	en	30-39	24.7	3,840	2,160	22.48	25
6,897	male	white	en	30-39	33.7	3,840	2,160	30.48	25
6,898	male	white	en	30-39	35.8	3,840	2,160	32.04	25
6,899	male	white	en	30-39	126.1	3,840	2,160	21.84	25
6,900	male	white	en	30-39	38	3,840	2,160	43.56	25
6,901	male	white	en	30-39	21.6	1,920	1,080	23.77	24
6,902	male	white	en	30-39	63.5	3,840	2,160	41.43	30
6,903	male	white	en	30-39	85	3,840	2,160	45.63	30
6,904	male	black	en	20-29	29.7	3,840	2,160	20.32	30
6,905	male	white	en	30-39	89	3,840	2,160	36.3	30
6,906	male	white	en	30-39	129.3	3,840	2,160	76.78	30
6,907	male	indian	en	20-29	220.6	3,840	2,160	98.93	30
6,908	male	black	en	40-49	19.5	3,840	2,160	20.45	30
6,909	male	black	en	40-49	22.1	3,840	2,160	20.62	30
6,910	male	black	en	40-49	26.3	3,840	2,160	25.23	30
6,911	male	white	en	40-49	27.4	3,840	2,160	22.52	24
6,912	male	white	en	40-49	20.9	1,920	1,080	32.47	30
6,913	male	white	en	30-39	39.9	3,840	2,160	21.42	30
6,914	male	white	en	20-29	26.9	1,920	1,080	45	25
6,915	male	white	en	20-29	14.8	1,920	1,080	23.32	25
6,916	male	white	en	30-39	45.2	3,840	2,160	36.74	30
6,917	male	white	en	30-39	51.9	3,840	2,160	49.55	30
6,918	female	white	en	40-49	13.1	1,920	1,080	28.2	25
6,919	male	white	en	20-29	552.3	3,840	2,160	178.55	30
6,920	male	white	en	20-29	221.4	3,840	2,160	71.6	30
6,921	male	asian	en	20-29	157.8	3,840	2,160	31.08	25
6,922	male	white	en	30-39	136	3,840	2,160	36.64	30
6,923	male	white	en	20-29	56.2	3,840	2,160	40.75	24
6,924	male	white	en	20-29	91.6	3,840	2,160	69.99	24
6,925	male	white	en	20-29	120.5	3,840	2,160	95.18	24
6,926	male	white	en	20-29	40.1	3,840	2,160	30.49	24
6,927	male	white	en	20-29	44.9	3,840	2,160	23.19	24
6,928	male	white	en	20-29	7.8	1,920	1,080	28.2	30
6,929	male	white	en	20-29	6.3	1,920	1,080	21.73	30
6,930	male	white	en	20-29	7.4	1,920	1,080	23.73	30
6,931	male	white	en	20-29	11.2	1,920	1,080	38.43	30
6,932	male	white	en	20-29	9.6	1,920	1,080	31.13	30
6,933	male	white	en	20-29	8.7	1,920	1,080	31.63	30
6,934	male	white	en	40-49	65.5	3,840	2,160	26.93	30
6,935	female	white	en	20-29	21.1	1,920	1,080	30.43	30
6,936	male	white	en	30-39	60.6	1,920	1,080	76.4	30
6,937	male	white	en	30-39	15.3	1,920	1,080	22.63	30
6,938	male	white	en	30-39	56.3	3,840	2,160	32.91	24
6,939	male	white	en	20-29	24.9	3,840	2,160	21.92	30
6,940	male	white	en	20-29	52.3	3,840	2,160	45.11	30
6,941	female	white	en	30-39	13.5	1,920	1,080	34.8	30
6,942	female	white	en	30-39	10	1,920	1,080	25.19	30
6,943	female	white	en	30-39	22.7	1,920	1,080	46.01	30
6,944	female	white	en	50-59	11.8	1,920	1,080	30.28	25
6,945	female	white	en	50-59	17	1,920	1,080	36.44	25
6,946	female	white	en	50-59	11.7	1,920	1,080	28.4	25
6,947	female	white	en	50-59	7.5	1,920	1,080	21.76	25
6,948	female	white	en	50-59	10.8	1,920	1,080	25.72	25
6,949	female	white	en	50-59	11.4	1,920	1,080	27.56	25
6,950	female	white	en	50-59	14.9	1,920	1,080	23.88	25
6,951	female	white	en	50-59	10.2	1,920	1,080	24.6	25
6,952	female	white	en	50-59	10.3	1,920	1,080	22.08	25
6,953	female	white	en	50-59	28.9	1,920	1,080	48.84	25
6,954	male	white	en	30-39	49.1	3,840	2,160	37.54	24
6,955	male	white	en	30-39	43.3	3,840	2,160	33.66	24
6,956	male	white	en	30-39	37.8	3,840	2,160	33.37	30
6,957	male	black	en	40-49	16	1,920	1,080	28.9	30
6,958	male	white	en	20-29	13.4	1,920	1,080	30.9	30
6,959	male	asian	en	30-39	33.9	3,840	2,160	29.49	24
6,960	female	black	en	20-29	57	1,920	1,080	128.5	30
6,961	male	white	en	40-49	28.2	3,840	2,160	28.17	24
6,962	male	white	en	40-49	24.5	3,840	2,160	24.96	24
6,963	male	white	en	40-49	23.1	3,840	2,160	23.33	24
6,964	male	white	en	40-49	26.1	3,840	2,160	26.29	24
6,965	male	white	en	40-49	20.5	3,840	2,160	20.42	24
6,966	male	white	en	40-49	21.8	3,840	2,160	21.5	24
6,967	male	white	en	50-59	126.9	3,840	2,160	23.49	30
6,968	male	white	en	40-49	6.7	1,920	1,080	20.93	30
6,969	male	black	en	30-39	43.9	3,840	2,160	22.66	30

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