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
41,744	male	asian	id	30-39	17.1	1,920	1,080	21.12	30
41,745	female	asian	id	20-29	11.2	1,920	1,080	20.1	30
41,746	female	asian	id	20-29	43.6	1,920	1,080	81.87	30
41,747	female	asian	id	20-29	11.8	1,920	1,080	21.33	30
41,748	male	white	id	30-39	17.8	1,920	1,080	34.93	30
41,749	male	asian	id	20-29	12.4	1,920	1,080	22.92	60
41,750	female	asian	id	20-29	37.1	1,920	1,080	40.93	30
41,751	male	white	en	50-59	17.4	1,920	1,080	46.2	59.9
41,752	female	asian	id	10-19	63.8	1,920	1,080	108.73	30
41,753	male	asian	id	20-29	47.9	1,920	1,080	29.43	30
41,754	none	none	id	none	23.7	1,920	1,080	44.44	30
41,755	male	asian	id	20-29	26.9	1,920	1,080	55.6	30
41,756	male	asian	id	20-29	12	1,920	1,080	23.13	30
45,800	female	white	tr	40-49	12.9	1,920	1,080	28.04	50
45,801	female	white	tr	20-29	136.5	3,840	2,160	54.17	30
45,802	female	white	tr	20-29	98.1	3,840	2,160	38.23	30
45,803	female	white	tr	20-29	81.7	3,840	2,160	33.73	30
45,804	female	white	tr	20-29	174.8	3,840	2,160	68.43	30
41,762	male	asian	id	20-29	15.3	1,920	1,080	27.03	30
41,763	male	asian	id	10-19	9.1	1,920	1,080	24.48	25
41,764	male	asian	id	10-19	20.9	1,920	1,080	49.8	25
41,765	female	white	en	20-29	56.8	1,920	1,080	153.55	30
41,766	female	white	en	20-29	10.2	1,920	1,080	28.53	30
41,767	female	white	en	20-29	24.4	1,920	1,080	69.77	30
41,768	female	white	en	20-29	7.1	1,920	1,080	20.52	30
41,769	female	white	en	20-29	20.5	1,920	1,080	49.48	30
41,770	female	white	en	20-29	16.9	1,920	1,080	37.7	30
41,771	female	white	en	20-29	29.7	1,920	1,080	53.42	30
41,772	female	white	en	20-29	13.1	1,920	1,080	24.16	30
41,773	female	white	en	20-29	17.5	1,920	1,080	32.9	30
41,774	female	white	en	20-29	21.9	1,920	1,080	41.11	30
41,775	female	white	en	20-29	9.7	1,920	1,080	25.49	30
41,776	female	white	en	20-29	8.4	1,920	1,080	20.52	30
41,777	female	white	en	20-29	10.9	1,920	1,080	27.63	30
41,778	male	asian	id	10-19	116.1	1,920	1,080	149.03	30
41,779	male	asian	id	20-29	8.9	1,920	1,080	31.87	24
41,780	male	asian	id	20-29	11.1	1,920	1,080	41.21	24
41,781	female	white	id	20-29	69.3	1,920	1,080	170.92	24
41,782	female	asian	id	20-29	22.9	1,920	1,080	27.48	25
41,783	female	asian	id	20-29	32.4	1,920	1,080	44.04	25
41,784	female	asian	id	20-29	22.1	1,920	1,080	26.24	25
41,785	female	asian	id	20-29	83.4	1,920	1,080	103.68	25
41,786	female	asian	id	20-29	20.5	1,920	1,080	32.04	25
41,787	female	asian	id	30-39	24.6	1,920	1,080	45.63	30
41,788	male	white	en	40-49	12.7	1,920	1,080	23.8	30
41,789	male	white	en	20-29	71.4	1,920	1,080	50.05	30
41,790	female	white	en	40-49	21.4	1,920	1,080	30.9	30
41,791	female	white	en	20-29	9.1	1,920	1,080	33.6	30
41,792	female	white	en	20-29	13	1,920	1,080	54.65	30
41,793	female	white	en	20-29	7.8	1,920	1,080	27.79	30
41,794	female	white	en	20-29	7.2	1,920	1,080	23.62	30
41,795	female	white	en	20-29	11.4	1,920	1,080	33.23	30
41,796	female	white	en	20-29	36.7	1,920	1,080	58.32	30
41,797	female	white	en	20-29	16.1	1,920	1,080	28.03	30
41,798	female	white	en	20-29	13.3	1,920	1,080	20.22	30
41,799	female	white	en	20-29	30.1	1,920	1,080	55.16	30
41,800	male	asian	id	20-29	48.6	2,160	1,080	49.85	30
41,801	female	white	en	20-29	21.7	1,920	1,080	29.8	30
41,802	female	white	en	20-29	32	1,920	1,080	39.4	30
41,803	female	white	en	20-29	26.6	1,920	1,080	40.63	30
41,804	female	white	en	20-29	32.6	1,920	1,080	53.37	30
41,805	male	white	en	30-39	6.4	1,920	1,080	23.77	24
41,806	male	white	en	30-39	6.3	1,920	1,080	27.15	24
41,807	male	white	en	30-39	8.2	1,920	1,080	32.03	24
41,808	male	asian	id	20-29	25.1	1,920	1,080	26.64	25
41,809	male	asian	id	20-29	174.3	1,920	1,080	178.52	25
41,810	male	asian	id	20-29	34.4	1,920	1,080	33.96	25
41,811	male	asian	id	20-29	7.8	1,920	1,080	23.52	25
41,812	male	asian	id	20-29	16.3	1,920	1,080	20.28	25
41,813	female	black	id	20-29	27.1	1,920	1,080	71.47	30
41,814	female	asian	id	20-29	25.5	1,920	1,080	40.63	30
41,815	female	black	en	20-29	19.1	1,920	1,080	34.8	30
41,816	male	asian	id	20-29	46.5	1,920	1,080	109.92	25.2
41,817	male	asian	id	20-29	35	1,920	1,080	62.16	25
41,818	female	white	id	20-29	14	1,280	720	35.13	30
41,819	male	asian	id	20-29	65.5	1,920	1,080	89.19	30
41,820	male	asian	id	20-29	35.2	1,920	1,080	32.93	30
41,821	male	asian	id	20-29	26.7	1,920	1,080	26.97	30
41,822	male	white	en	30-39	31.5	3,840	2,160	26.28	25
41,823	male	white	en	30-39	36.5	3,840	2,160	24.36	25
41,824	male	white	en	30-39	24.3	3,840	2,160	20.52	25
41,825	male	white	en	30-39	22.2	3,840	2,160	22.56	25
41,826	male	white	en	30-39	30.6	1,920	1,080	66.32	24
41,827	male	asian	id	20-29	76.4	1,920	1,080	39.87	60
41,828	male	asian	none	20-29	28.7	1,920	1,080	46.87	30
41,829	male	asian	none	20-29	19.9	1,920	1,080	32.4	30
41,830	male	asian	id	30-39	19.1	1,920	1,080	22.62	60
41,831	male	white	en	20-29	26.1	1,920	1,080	50.55	30
41,832	male	asian	id	20-29	32.5	1,920	1,080	40.28	25
41,833	male	asian	id	30-39	18.3	1,920	1,080	21.33	30
41,834	male	asian	id	20-29	10	1,920	1,080	21.83	30
41,835	male	asian	en	20-29	17.3	1,920	1,080	51.68	24
41,836	male	asian	en	20-29	10.2	1,920	1,080	31.7	24
41,837	female	white	en	20-29	8.3	1,920	1,080	23.7	30
41,838	female	white	en	20-29	8.8	1,920	1,080	23.23	30
41,839	female	white	en	20-29	8.9	1,920	1,080	25.2	30
41,840	female	white	en	20-29	39.3	1,920	1,080	83.43	30
41,841	female	white	en	20-29	8.6	1,920	1,080	22	30
41,842	female	white	en	20-29	28.9	1,920	1,080	66.9	30
41,843	female	white	en	20-29	81.9	1,920	1,080	163.83	30

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