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
42,646	male	asian	id	10-19	37.8	3,840	2,160	29.3	30
42,647	male	asian	id	10-19	29.3	3,840	2,160	21.52	30
42,648	male	asian	id	10-19	32.1	3,840	2,160	22.36	30
42,649	male	asian	en	20-29	32	3,840	2,160	39.25	24
42,650	male	asian	id	10-19	12.3	1,920	1,080	20.43	30
42,651	male	white	en	40-49	11.1	1,920	1,080	23.06	59.9
42,652	male	asian	id	20-29	55.9	1,920	1,080	94.04	50
42,653	male	white	en	50-59	17.4	1,920	1,080	24.43	30
42,654	male	indian	en	30-39	7.7	1,920	1,080	20.38	24
42,655	female	black	id	10-19	13.7	1,920	1,080	20.53	30
42,656	female	black	id	10-19	34	1,920	1,080	50.03	30
42,657	female	black	id	10-19	39.8	1,920	1,080	54.53	30
42,658	female	asian	en	10-19	73.7	1,920	1,080	141.63	30
42,659	female	asian	en	10-19	87.6	1,920	1,080	148.53	30
42,660	female	asian	en	10-19	45.5	1,920	1,080	82.37	30
42,661	female	asian	en	10-19	74.4	1,920	1,080	133.8	30
42,662	female	asian	en	10-19	51	1,920	1,080	92.43	30
42,663	female	asian	en	10-19	80.5	1,920	1,080	141.83	30
42,664	female	asian	en	10-19	52.7	1,920	1,080	111.37	30
42,665	male	asian	no	20-29	19	1,920	1,080	53.4	25
42,666	male	asian	id	20-29	96.7	1,920	1,080	82.88	25
42,667	male	asian	id	20-29	23	1,920	1,080	24.84	25
42,668	female	white	en	30-39	123.2	3,840	2,160	50.78	30
42,669	female	white	en	30-39	49.9	3,840	2,160	22.62	30
42,670	female	white	en	30-39	45.3	3,840	2,160	21.02	30
42,671	female	white	en	30-39	75	3,840	2,160	32.1	30
42,672	female	white	en	30-39	46	3,840	2,160	20.89	30
42,673	female	white	en	30-39	66.1	3,840	2,160	31.2	30
42,674	male	asian	id	20-29	26	1,920	1,080	67.08	25
42,675	male	asian	id	20-29	31.9	1,920	1,080	63.72	25
42,676	male	asian	id	20-29	30.5	1,920	1,080	62.4	25
42,677	male	asian	id	20-29	9.7	1,920	1,080	24.84	25
42,678	male	asian	id	20-29	15.1	1,920	1,080	35.56	25
42,679	male	asian	id	20-29	55	1,920	1,080	128.12	25
42,680	male	asian	id	20-29	12.1	1,920	1,080	28.68	25
42,681	female	asian	id	10-19	37.8	1,920	1,080	55.83	30
42,682	male	black	id	20-29	10.9	1,920	1,080	22.33	30
42,683	male	black	id	20-29	15.6	1,920	1,080	27.43	30
42,684	female	asian	en	20-29	107.7	1,920	1,080	137.43	30
42,685	female	asian	en	20-29	18.7	1,920	1,080	24.7	30
42,686	female	asian	en	20-29	64.6	1,920	1,080	76.43	30
42,687	female	asian	en	20-29	41.9	1,920	1,080	51.7	30
42,688	female	asian	en	20-29	106.7	1,920	1,080	123.83	30
42,689	male	white	en	30-39	23.4	3,840	2,160	22.84	25
42,690	male	asian	id	20-29	47.4	1,920	1,080	34.33	30
42,691	male	white	id	20-29	32.2	1,920	1,080	50.76	25
42,692	male	asian	id	20-29	17.7	1,920	1,080	21.03	30
42,693	male	asian	id	20-29	34.6	1,920	1,080	41.03	30
42,694	female	asian	id	20-29	21.8	1,920	1,080	40.13	30
42,695	male	asian	id	20-29	22.4	1,920	1,080	67.28	25
42,696	male	asian	id	20-29	51.5	1,920	1,080	114.84	25
42,697	female	asian	id	20-29	16	1,920	1,080	34.68	25
42,698	female	asian	id	20-29	15.2	1,920	1,080	31.68	25
42,699	female	asian	en	20-29	12.8	1,920	1,080	20.76	25
42,700	female	white	en	20-29	16.1	1,920	1,080	27.33	30
42,701	female	asian	id	10-19	16.9	1,280	720	99.63	30
42,702	female	asian	id	10-19	5.5	1,280	720	40.6	30
42,703	female	asian	id	10-19	9.8	1,280	720	72	30
42,704	female	asian	id	10-19	4.9	1,280	720	35.23	30
42,705	male	asian	fi	20-29	72.3	1,920	1,080	45.12	60
42,706	female	asian	id	20-29	23.4	1,920	1,080	55.43	30
42,707	male	black	en	30-39	31.9	1,920	1,080	31.23	30
42,708	male	white	en	30-39	14.7	1,920	1,080	23.22	30
42,709	female	asian	tl	20-29	7	1,280	720	28.13	30
42,710	male	asian	id	20-29	40.3	3,840	2,160	37.24	25
42,711	male	asian	id	20-29	31.9	3,840	2,160	29.68	25
42,712	male	asian	id	20-29	111.8	3,840	2,160	101.16	25
42,713	male	asian	id	20-29	102.1	3,840	2,160	89.76	25
42,714	female	white	en	20-29	8.5	1,920	1,080	38.3	30
42,715	female	white	en	20-29	11.2	1,920	1,080	23.62	30
42,716	female	white	en	20-29	41.3	1,920	1,080	87.02	30
42,717	female	white	en	20-29	23.4	1,920	1,080	47.11	30
42,718	female	white	en	20-29	46.9	1,920	1,080	127.93	30
42,719	female	white	en	20-29	20.6	1,920	1,080	60.93	30
42,720	female	white	en	20-29	27.2	1,920	1,080	83.15	30
42,721	female	white	en	20-29	9.5	1,920	1,080	29.7	30
42,722	female	white	en	20-29	27.4	1,920	1,080	88.52	30
42,723	female	white	en	20-29	24.1	1,920	1,080	51.32	30
42,724	female	white	en	20-29	15.3	1,920	1,080	36.07	30
42,725	female	white	en	20-29	27.7	1,920	1,080	78.61	30
42,726	female	white	en	20-29	12.3	1,920	1,080	31.4	30
42,727	female	white	en	20-29	36.5	1,920	1,080	54.2	25
42,728	female	white	en	20-29	39.4	1,920	1,080	65.04	25
42,729	female	white	en	20-29	16.9	1,920	1,080	27.6	25
42,730	female	white	en	20-29	18.5	1,920	1,080	27.68	25
42,731	female	white	en	20-29	76	1,920	1,080	115.32	25
42,732	female	white	en	20-29	86.3	1,920	1,080	136.44	25
42,733	female	white	en	20-29	21.2	1,920	1,080	29.36	25
42,734	female	white	en	20-29	13.7	1,920	1,080	25.64	25
42,735	female	white	en	20-29	21.3	1,920	1,080	33.28	25
42,736	female	white	en	20-29	69.9	1,920	1,080	108.56	25
42,737	female	white	en	20-29	71.2	1,920	1,080	112.6	25
42,738	female	indian	en	20-29	18.4	1,920	1,080	39.75	24
42,739	female	indian	en	20-29	14.7	1,920	1,080	26.75	24
42,740	female	indian	en	20-29	12.3	1,920	1,080	23.33	24
42,741	female	indian	en	20-29	23.9	1,920	1,080	54.38	24
42,742	female	indian	en	20-29	12.1	1,920	1,080	22.42	24
42,743	female	indian	en	20-29	14.1	1,920	1,080	26.25	24
42,744	female	indian	en	20-29	18.8	1,920	1,080	36.29	24
42,745	female	indian	en	20-29	36.9	1,920	1,080	62.79	24

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