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
47,805	female	asian	en	10-19	20	1,920	1,080	35.92	25
47,806	male	asian	tl	20-29	11.7	1,920	1,080	32.53	30
47,807	male	asian	tl	20-29	16.9	1,920	1,080	49.05	30
47,808	female	asian	en	30-39	31	3,840	2,160	20.77	60
47,809	female	asian	en	30-39	42.3	3,840	2,160	27.22	60
47,810	female	asian	en	30-39	43.2	3,840	2,160	29.32	60
47,811	male	white	en	30-39	10.7	1,920	1,080	33.83	30
47,812	male	white	en	30-39	12.2	1,920	1,080	38.04	30
47,813	male	white	en	30-39	11.3	1,920	1,080	37.34	30
47,814	male	white	en	30-39	8.4	1,920	1,080	29	30
47,815	male	white	en	30-39	7.8	1,920	1,080	23.89	30
47,816	male	white	en	30-39	6.8	1,920	1,080	20.72	30
47,817	male	white	en	30-39	11.5	1,920	1,080	37.14	30
47,818	male	white	en	30-39	8.5	1,920	1,080	25.33	30
47,819	male	white	en	60-69	121.3	3,840	2,160	61.33	30
47,820	male	white	en	60-69	334.8	3,840	2,160	168.57	30
47,821	male	white	en	60-69	91.9	3,840	2,160	47.33	30
47,822	male	white	en	60-69	210.8	3,840	2,160	105.33	30
47,823	male	white	en	60-69	287.9	3,840	2,160	143.83	30
47,824	female	asian	tl	20-29	22.1	1,280	720	49.73	30
47,825	male	asian	tl	20-29	13.6	1,920	1,080	26.93	30
47,826	male	asian	tl	20-29	15.2	1,920	1,080	25.56	30
47,827	male	asian	tl	20-29	24.5	1,920	1,080	42.98	30
47,828	male	asian	tl	20-29	68.2	1,920	1,080	119.62	30
47,829	male	asian	tl	20-29	16.5	1,920	1,080	30.56	30
47,830	male	asian	tl	20-29	11.2	1,920	1,080	22.22	30
47,831	male	asian	tl	20-29	92.2	1,920	1,080	156.86	30
47,832	male	asian	tl	20-29	83.9	1,920	1,080	152.35	30
47,833	male	asian	tl	20-29	33.3	1,920	1,080	58.93	30
47,834	male	asian	tl	20-29	11.7	1,920	1,080	22.59	30
47,835	male	asian	tl	10-19	24.1	1,920	1,080	48.87	30
47,836	male	asian	en	20-29	43.6	1,920	1,080	103.03	30
47,837	male	asian	en	20-29	15.7	1,920	1,080	40.7	30
47,838	male	asian	en	20-29	27.8	1,920	1,080	63.63	30
47,839	male	asian	tl	20-29	30.8	1,906	1,080	26.82	60
47,840	male	asian	en	20-29	16.7	1,920	1,080	30.63	30
47,841	female	asian	tl	30-39	51.8	3,840	2,160	39.37	24
47,842	female	asian	tl	30-39	38.9	3,840	2,160	32.62	24
47,843	female	asian	tl	30-39	44.3	3,840	2,160	35.12	24
47,844	male	asian	tl	20-29	77	3,840	2,160	38.59	59.9
47,845	female	asian	tl	20-29	21.6	1,920	1,080	46.73	60
47,846	female	asian	tl	20-29	26.9	1,920	1,080	54.27	60
47,847	female	asian	tl	20-29	25.3	1,920	1,080	49.47	60
47,848	male	asian	tl	20-29	24.2	1,920	1,080	44.03	30
47,849	female	white	tl	20-29	63	3,840	2,160	24.03	30
47,850	female	white	tl	20-29	316.6	3,840	2,160	117.97	30
47,851	female	white	tl	20-29	152.1	3,840	2,160	56.63	30
47,852	female	white	tl	20-29	194.9	3,840	2,160	74.03	30
47,853	female	white	tl	20-29	117.1	3,840	2,160	43.57	30
47,854	female	white	tl	20-29	120.8	3,840	2,160	44.13	30
47,855	female	white	tl	20-29	296.8	3,840	2,160	107.33	30
47,856	female	white	tl	20-29	197.6	3,840	2,160	74.13	30
47,857	female	white	tl	20-29	100.8	3,840	2,160	36.63	30
47,858	female	white	tl	20-29	66.2	3,840	2,160	23.53	30
47,859	female	white	tl	20-29	139.9	3,840	2,160	53.27	30
47,860	female	asian	en	20-29	16.3	1,920	1,080	44.34	24
47,861	female	asian	en	20-29	15.9	1,920	1,080	46.05	24
47,862	male	asian	tl	20-29	35.5	1,920	1,080	79.2	24
47,863	female	asian	tl	20-29	41.3	1,920	1,080	58.33	30
47,864	female	asian	tl	20-29	14.8	1,280	720	47.77	30
47,865	female	asian	tl	20-29	9.1	1,280	720	30.83	30
47,866	male	asian	tl	20-29	12.6	1,920	1,080	23.43	60
47,867	male	asian	tl	20-29	14	1,920	1,080	23.27	60
47,868	female	white	tl	20-29	15.8	1,920	1,080	35.73	30
47,869	female	white	tl	20-29	21	1,920	1,080	44.23	30
47,870	female	asian	tl	20-29	19.4	1,920	1,080	39.9	30
47,871	female	asian	tl	20-29	24.8	1,920	1,080	46.17	30
47,872	female	asian	tl	20-29	15.2	1,920	1,080	33.9	30
47,873	female	asian	tl	20-29	15	1,920	1,080	35.1	30
47,874	female	asian	tl	20-29	14.8	1,920	1,080	33.27	30
47,875	male	black	en	20-29	35.8	1,920	1,080	43.44	25
47,876	female	asian	tl	30-39	33.6	1,920	1,080	61.58	59.9
47,877	female	asian	tl	30-39	20.4	1,920	1,080	39.09	59.9
47,878	female	asian	tl	30-39	58.1	1,920	1,080	105.92	59.9
47,879	female	asian	tl	30-39	17.6	1,920	1,080	31.26	59.9
47,880	male	asian	tl	30-39	9.1	1,920	1,080	30.93	30
47,881	male	asian	tl	30-39	16.2	1,920	1,080	46.53	30
47,882	male	asian	tl	30-39	26.1	1,920	1,080	79.3	30
47,883	male	white	en	20-29	27.2	3,840	2,160	20.42	59.9
47,884	female	asian	en	20-29	44.8	1,920	1,080	135.1	30
47,885	male	asian	tl	30-39	100.7	1,920	1,080	177.77	30
47,886	male	asian	tl	30-39	16.1	1,920	1,080	37.93	30
47,887	male	asian	tl	30-39	96	1,920	1,080	168.53	30
47,888	male	asian	tl	20-29	23.2	1,920	1,080	31.63	30
47,889	male	asian	tl	20-29	111.9	1,920	1,080	154.53	30
47,890	male	asian	tl	20-29	85.8	1,920	1,080	116.13	30
47,891	male	asian	tl	20-29	29.7	1,920	1,080	39.4	30
47,892	female	asian	en	20-29	13.8	1,920	1,080	28.17	30
47,893	male	white	tl	20-29	38	1,920	1,080	38.24	30
47,894	male	white	tl	20-29	40.2	1,920	1,080	47.11	30
47,895	female	asian	tl	10-19	24.9	1,920	1,080	38.3	30
47,896	female	asian	tl	10-19	31	1,920	1,080	43.1	30
47,897	male	asian	tl	20-29	20.8	1,920	1,080	30.6	25
47,898	male	asian	tl	20-29	48.6	1,920	1,080	65.88	25
47,899	female	asian	en	10-19	10.1	1,280	720	46.92	25
47,900	female	asian	en	10-19	31.2	1,280	720	143.28	25
47,901	female	asian	en	10-19	5.4	1,280	720	24.04	25
47,902	female	asian	en	10-19	23.6	1,280	720	119.28	25
47,903	male	indian	ta	30-39	39.5	3,840	2,160	30.45	24
47,904	male	indian	ta	30-39	28.7	3,840	2,160	21.15	24

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