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
46,888	male	asian	tl	30-39	48.8	3,840	2,160	30.5	30
46,889	male	white	en	30-39	38.1	1,920	1,080	41.04	25
46,890	male	white	en	30-39	117.3	1,920	1,080	120.92	25
46,891	male	white	en	30-39	80.3	1,920	1,080	83.52	25
46,892	male	asian	tl	20-29	10.1	1,920	1,080	25.48	24
46,893	male	asian	tl	20-29	23.5	1,920	1,080	67.07	24
46,894	female	asian	tl	20-29	34.7	1,920	1,080	35.44	30
46,895	male	asian	tl	20-29	28.5	1,920	1,080	58.96	25
46,896	male	asian	tl	20-29	21	1,920	1,080	33.92	25
46,897	male	asian	tl	20-29	93.7	1,920	1,080	178.04	25
46,898	female	asian	tl	20-29	22.8	1,280	720	66.53	30
46,899	female	asian	tl	20-29	36.5	1,920	1,080	33.48	59.9
46,900	female	asian	tl	20-29	53.7	1,920	1,080	49.97	59.9
46,901	female	asian	tl	20-29	34.6	1,920	1,080	37.94	59.9
46,902	female	asian	tl	20-29	49.6	1,920	1,080	47.06	59.9
46,903	female	asian	tl	20-29	38.9	1,920	1,080	39.11	59.9
46,904	female	asian	tl	20-29	56.5	1,920	1,080	56.36	59.9
46,905	male	asian	tl	20-29	8.4	1,920	1,080	23.57	24
46,906	male	asian	tl	20-29	7.2	1,920	1,080	20.31	24
46,907	male	asian	tl	20-29	9.5	1,920	1,080	21.73	24
46,908	female	asian	tl	20-29	19.3	1,920	1,080	34.63	30
46,909	female	asian	tl	20-29	10.5	1,920	1,080	20.73	30
46,910	female	asian	tl	20-29	30.7	1,920	1,080	61.8	30
46,911	female	asian	tl	20-29	10.3	1,920	1,080	20.8	30
46,912	male	white	tl	30-39	23.9	1,920	1,080	49.53	30
46,913	male	asian	tl	30-39	92.1	1,906	1,080	165.1	30
46,914	male	asian	tl	20-29	17.9	1,920	1,080	25.63	30
46,915	male	asian	tl	20-29	18.3	1,920	1,080	24.73	30
46,916	male	asian	tl	20-29	16.2	1,920	1,080	20.8	30
46,917	male	asian	tl	20-29	20.3	1,920	1,080	37.73	30
46,918	male	white	en	30-39	22.4	3,840	2,160	21.52	24
46,919	male	white	en	30-39	26.4	3,840	2,160	25.69	24
46,920	male	white	en	30-39	32.5	3,840	2,160	26.86	24
46,921	male	white	en	30-39	80.4	3,840	2,160	73.2	24
46,922	male	white	en	30-39	31.9	3,840	2,160	29.07	24
46,923	male	white	en	30-39	34.5	3,840	2,160	29.4	24
46,924	male	white	en	30-39	41.6	3,840	2,160	36.75	24
46,925	male	white	en	30-39	49.5	3,840	2,160	44.04	24
46,926	male	white	en	30-39	48.1	3,840	2,160	48.17	24
46,927	male	white	en	30-39	23	3,840	2,160	23.61	24
46,928	male	asian	tl	20-29	8.8	1,920	1,080	22.1	30
46,929	male	asian	tl	10-19	10.9	1,920	1,080	22.62	30
46,930	male	asian	tl	10-19	10.2	1,920	1,080	20.12	30
46,931	male	asian	en	20-29	11.9	1,920	1,080	38.87	24
46,932	male	asian	en	20-29	16	1,920	1,080	49.84	24
46,933	male	asian	en	20-29	16.4	1,920	1,080	44.29	24
46,934	male	asian	en	20-29	22.1	1,920	1,080	58.77	24
46,935	male	asian	tl	30-39	86.8	1,920	1,080	132.53	30
46,936	male	asian	tl	20-29	12.3	1,920	1,080	22.44	25
46,937	male	asian	tl	20-29	14	1,920	1,080	32.64	25
46,938	male	asian	tl	20-29	19.4	1,920	1,080	49.2	25
46,939	male	asian	tl	20-29	11.7	1,920	1,080	27.84	25
46,940	male	asian	tl	20-29	49.1	1,920	1,080	74.73	30
46,941	male	asian	tl	20-29	29.7	1,920	1,080	36.97	30
46,942	male	asian	tl	20-29	34	1,920	1,080	49.03	30
46,943	male	asian	tl	20-29	30.1	1,920	1,080	33.03	30
46,944	female	asian	tl	20-29	28	1,920	1,080	48.63	30
46,945	female	asian	tl	20-29	15.4	1,920	1,080	32.43	30
46,946	female	asian	tl	20-29	23.7	1,920	1,080	43.87	30
46,947	female	asian	tl	20-29	18.3	1,920	1,080	35.87	30
46,948	female	asian	tl	20-29	29.1	1,920	1,080	56.27	30
46,949	female	asian	tl	20-29	13.9	1,920	1,080	27.73	30
46,950	male	white	tl	10-19	14.3	1,920	1,080	36.77	30
46,951	male	white	tl	10-19	24.1	1,920	1,080	67.2	30
46,952	male	white	tl	10-19	21.2	1,920	1,080	54.03	30
46,953	male	indian	en	20-29	20.4	1,920	1,080	53.52	30
46,954	male	indian	en	20-29	21.5	1,920	1,080	55.66	30
46,955	female	asian	en	20-29	24.1	1,920	1,080	36.03	30
46,956	male	asian	en	40-49	26	1,920	1,080	42.8	30
46,957	male	asian	en	40-49	28.7	1,920	1,080	55.97	30
46,958	male	asian	tl	20-29	23.4	1,920	1,080	37.43	60
46,959	male	asian	tl	20-29	18.8	1,920	1,080	33.67	60
46,960	male	asian	tl	20-29	43.6	1,920	1,080	74.43	60
46,961	male	asian	tl	20-29	38.3	1,920	1,080	61.63	60
46,962	male	asian	tl	20-29	21.7	1,920	1,080	41.33	60
46,963	male	asian	tl	20-29	34.6	1,920	1,080	63.58	60
46,964	male	asian	tl	20-29	49.9	1,920	1,080	78.72	60
46,965	male	asian	tl	20-29	224.1	3,840	2,160	44.51	30
46,966	male	asian	tl	30-39	18.5	1,920	1,080	45.93	30
46,967	female	asian	tl	40-49	21	1,920	1,080	51.15	30
46,968	female	asian	tl	40-49	15	1,920	1,080	37.74	30
46,969	female	asian	tl	40-49	14.8	1,920	1,080	36.1	30
46,970	female	asian	tl	40-49	18.7	1,920	1,080	43.21	30
46,971	female	asian	tl	40-49	48.5	1,920	1,080	107.87	30
46,972	female	asian	tl	40-49	29.2	1,920	1,080	64.26	30
46,973	female	asian	tl	40-49	22	1,920	1,080	47.85	30
46,974	female	asian	tl	40-49	19.2	1,920	1,080	46.15	30
46,975	male	asian	tl	40-49	155.6	3,840	2,160	58.81	24
46,976	male	asian	en	20-29	19.7	1,920	1,080	36	30
46,977	female	asian	tl	20-29	16.4	1,920	1,080	31.23	60
46,978	female	white	tl	20-29	14.1	1,920	1,080	24.82	30
46,979	female	asian	id	30-39	19.8	1,280	720	47.53	30
46,980	female	asian	en	20-29	28.5	1,920	1,080	49.03	30
46,981	female	asian	en	20-29	83.6	1,920	1,080	106.83	30
46,982	female	asian	tl	10-19	30.1	1,920	1,080	58.69	30
46,983	female	asian	tl	10-19	15.6	1,920	1,080	32	30
46,984	male	asian	tl	20-29	14.8	1,920	1,080	45.43	30
46,985	female	asian	tl	20-29	31.9	3,840	2,160	24.72	60
46,986	female	asian	tl	20-29	33.8	3,840	2,160	22.77	60
46,987	female	asian	tl	20-29	47.4	3,840	2,160	36.17	60

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