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
42,746	female	indian	en	20-29	11.7	1,920	1,080	20.42	24
42,747	female	indian	en	20-29	32.7	1,920	1,080	49.21	24
42,748	female	indian	en	20-29	16.5	1,920	1,080	22.92	24
42,749	female	indian	en	20-29	44.5	1,920	1,080	71.21	24
42,750	female	indian	en	20-29	23	1,920	1,080	31.83	24
42,751	female	indian	en	20-29	22.4	1,920	1,080	33.17	24
42,752	female	indian	en	20-29	21.2	1,920	1,080	49.62	24
42,753	female	asian	id	20-29	13.3	1,920	1,080	25.36	25
42,754	female	asian	id	20-29	19.2	1,920	1,080	39.56	25
42,755	female	asian	id	20-29	15	1,920	1,080	28.56	25
42,756	female	asian	id	20-29	25.9	1,920	1,080	45.08	25
42,757	female	asian	id	20-29	23	1,920	1,080	38.8	25
42,758	female	asian	id	20-29	19.9	1,920	1,080	49.2	25
42,759	female	asian	id	20-29	30.5	1,920	1,080	59.2	25
42,760	female	asian	id	20-29	32.3	1,920	1,080	84.44	25
42,761	female	asian	id	20-29	28.1	1,920	1,080	47.68	25
42,762	female	asian	id	20-29	9.1	1,920	1,080	20.56	25
42,763	female	black	id	30-39	21.4	1,920	1,080	29.63	30
42,764	female	black	id	30-39	29.4	1,920	1,080	38.9	30
42,765	female	black	id	30-39	36.2	1,920	1,080	50.6	30
42,766	male	white	en	20-29	14.7	1,920	1,080	25.47	60
42,767	male	asian	id	20-29	21.6	1,920	1,080	31.4	60
42,768	male	asian	id	20-29	31.6	1,920	1,080	32.62	60
42,769	female	white	en	20-29	34	1,920	1,080	59.16	50
42,770	female	white	en	20-29	13	1,920	1,080	21.58	50
42,771	female	white	en	20-29	27	1,920	1,080	45.06	50
42,772	female	white	en	20-29	22.5	1,920	1,080	34.26	50
42,773	female	white	en	20-29	17	1,920	1,080	26.02	50
42,774	female	white	en	20-29	27.5	1,920	1,080	40.74	50
42,775	male	white	en	20-29	24.6	3,840	2,160	32.03	30
42,776	male	white	en	20-29	13.4	3,840	2,160	20.39	30
42,777	male	white	en	20-29	21.4	3,840	2,160	33.23	30
42,778	male	white	en	20-29	22.2	3,840	2,160	33.7	30
42,779	male	white	en	20-29	23.7	3,840	2,160	31.2	30
42,780	male	white	en	20-29	30.1	3,840	2,160	32.53	30
42,781	female	asian	id	20-29	30.5	1,920	1,080	60.63	30
42,782	female	white	en	20-29	30.9	1,920	1,080	50.58	30
42,783	female	white	en	20-29	28.4	1,920	1,080	48.35	30
42,784	female	white	en	20-29	14.6	1,920	1,080	31.83	30
42,785	female	white	en	20-29	11.4	1,920	1,080	23.49	30
42,786	female	white	en	20-29	9.6	1,920	1,080	26.03	30
42,787	female	white	en	20-29	27.6	1,920	1,080	59.79	30
42,788	male	white	en	30-39	14.6	1,920	1,080	23.29	30
42,789	male	white	en	30-39	16.9	1,920	1,080	30.53	30
42,790	male	white	en	30-39	13.6	1,920	1,080	22.32	30
42,791	male	asian	id	20-29	18.9	1,920	1,080	33.67	59.9
42,792	male	asian	id	20-29	18.9	1,920	1,080	39.31	59.9
42,793	female	asian	id	20-29	39.2	3,840	2,160	21.43	30
42,794	female	asian	id	20-29	41.3	3,840	2,160	22.43	30
42,795	female	asian	id	20-29	48.3	3,840	2,160	31.97	30
42,796	female	asian	id	20-29	39.7	3,840	2,160	29.23	30
42,797	female	asian	id	20-29	37.6	3,840	2,160	21.73	30
42,798	female	asian	id	20-29	58.5	3,840	2,160	32.07	30
42,799	female	asian	id	20-29	35.9	3,840	2,160	22.43	30
42,800	male	white	en	20-29	61.4	1,920	1,080	71.33	30
42,801	female	asian	id	20-29	17.2	1,920	1,080	25.54	24
42,802	female	asian	id	20-29	65.1	1,920	1,080	96.79	24
42,803	female	asian	id	20-29	54.4	1,920	1,080	82	24
42,804	female	asian	id	20-29	21.2	1,920	1,080	31.71	24
42,805	female	asian	id	20-29	20.3	1,920	1,080	31.88	24
42,806	female	asian	id	20-29	49.2	1,920	1,080	81.62	24
42,807	female	asian	id	20-29	24.4	1,920	1,080	38.33	24
42,808	female	asian	id	20-29	61.7	1,920	1,080	88.17	24
42,809	male	asian	id	20-29	9.4	1,920	1,080	20.43	30
42,810	male	asian	id	30-39	25.7	1,920	1,080	20.77	30
42,811	male	asian	id	30-39	73.3	1,920	1,080	56.7	30
42,812	male	asian	id	30-39	58	1,920	1,080	48.6	30
42,813	female	black	id	30-39	17.4	1,920	1,080	21.22	30
42,814	male	asian	id	20-29	34	1,920	1,080	50.53	30
42,815	male	asian	id	20-29	64.2	1,920	1,080	98.63	30
42,816	male	asian	id	20-29	72.2	1,920	1,080	105.23	30
42,817	male	asian	id	20-29	68.5	1,920	1,080	84.03	30
42,818	male	asian	id	20-29	27.9	1,920	1,080	36.78	60
42,819	female	indian	en	20-29	113.4	1,920	1,080	113.28	25
42,820	female	indian	en	20-29	47.5	1,920	1,080	50.72	25
42,821	female	indian	en	20-29	41.6	1,920	1,080	40	25
42,822	female	white	en	20-29	21.6	1,920	1,080	39.63	30
42,823	male	asian	id	30-39	25.2	1,920	1,080	26.43	30
42,824	male	asian	id	30-39	32.7	1,920	1,080	31.13	30
42,825	female	asian	id	20-29	22.6	1,920	1,080	45.5	30
42,826	female	asian	id	20-29	22.3	1,920	1,080	45.17	30
42,827	female	asian	id	20-29	26.1	1,920	1,080	52.27	30
42,828	female	asian	id	20-29	16	1,920	1,080	33.63	30
42,829	female	asian	id	20-29	30.2	1,920	1,080	59.47	30
42,830	female	asian	id	20-29	18.1	1,920	1,080	36.17	30
42,831	female	asian	id	20-29	19.3	1,920	1,080	39.77	30
42,832	male	indian	en	30-39	29.3	1,920	1,080	59.54	59.9
42,833	male	indian	en	30-39	11.5	1,920	1,080	28.73	59.9
42,834	male	white	en	20-29	16.6	1,920	1,080	24.47	60
42,835	male	white	en	20-29	7.5	1,920	1,080	24.19	30
42,836	female	asian	id	20-29	16.9	1,920	1,080	24.48	50
42,837	female	asian	id	20-29	12.2	1,920	1,080	20.92	50
42,838	female	asian	id	20-29	15.8	1,920	1,080	31.96	50
42,839	female	asian	id	20-29	18.5	1,920	1,080	32.18	50
42,840	male	asian	id	30-39	30	1,916	1,080	50.53	30
42,841	male	asian	id	10-19	33.9	1,920	1,080	85.03	30
42,842	male	white	en	40-49	29.4	1,920	1,080	63.93	30
42,843	male	asian	id	30-39	7.4	1,920	1,080	25.27	60
42,844	female	asian	id	10-19	29.4	1,920	1,080	53.4	25
42,845	female	asian	id	10-19	15.5	1,920	1,080	26.16	25

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