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
6,670	male	white	en	20-29	27.5	3,840	2,160	20.6	24
6,671	male	black	en	30-39	59	3,840	2,160	30.32	24
6,672	male	black	en	30-39	114.9	3,840	2,160	57.85	24
6,673	male	black	en	30-39	61.5	3,840	2,160	30.24	24
6,674	male	black	en	30-39	75.5	3,840	2,160	37.08	24
6,675	male	asian	en	40-49	26.4	3,840	2,160	21.39	30
6,676	male	asian	en	40-49	29.1	3,840	2,160	25.69	30
6,677	male	white	en	30-39	14.3	1,920	1,080	25.28	24
6,678	male	black	en	20-29	17.3	1,920	1,080	25.63	30
6,679	male	white	en	30-39	67.3	3,840	2,160	22.4	24
6,680	male	white	en	40-49	24.2	3,840	2,160	23.04	24
6,681	male	white	en	40-49	29	3,840	2,160	27.79	24
6,682	male	white	en	40-49	49	3,840	2,160	46.42	24
6,683	male	white	en	40-49	28.3	3,840	2,160	26.67	24
6,684	male	white	en	40-49	54.6	3,840	2,160	53.17	24
6,685	male	white	en	20-29	19.9	1,920	1,080	49.67	24
6,686	male	white	en	20-29	15	1,920	1,080	34.87	24
6,687	male	white	en	20-29	8.8	1,920	1,080	20.19	24
6,688	male	white	en	20-29	14.1	1,920	1,080	31.24	24
6,689	male	white	en	20-29	11.2	1,920	1,080	24.69	24
6,690	male	white	en	20-29	20.9	1,920	1,080	47.38	24
6,691	male	white	en	20-29	16.5	1,920	1,080	36.79	24
6,692	male	white	en	20-29	23.4	1,920	1,080	56.85	24
6,693	male	white	en	20-29	8.1	1,920	1,080	20.35	24
6,694	male	white	en	20-29	16	1,920	1,080	38.62	24
6,695	male	white	en	30-39	9.7	1,920	1,080	28.88	25
6,696	male	white	en	30-39	6.6	1,920	1,080	20.2	25
6,697	male	white	en	30-39	147.5	3,840	2,160	73.43	30
6,698	male	white	en	30-39	11.1	1,920	1,080	21.71	24
6,699	male	white	en	30-39	12.1	1,920	1,080	22.46	24
6,700	male	white	en	30-39	16.4	1,920	1,080	31.17	24
6,701	male	white	en	30-39	13.6	1,920	1,080	26.17	24
6,702	male	white	en	30-39	15.3	1,920	1,080	29.33	24
6,703	male	white	en	10-19	9.2	1,920	1,080	27.97	30
6,704	female	white	en	20-29	67.7	1,920	1,080	178.47	30
6,705	male	white	en	20-29	47.8	3,840	2,160	20.39	30
6,706	male	white	en	20-29	55.8	3,840	2,160	23.89	30
6,707	male	white	en	20-29	82.5	3,840	2,160	35.64	30
6,708	male	white	en	20-29	33.2	3,840	2,160	23.94	24
6,709	male	white	en	40-49	20.2	1,920	1,080	75.28	30
6,710	male	white	en	40-49	143.2	3,840	2,160	50.75	30
6,711	male	white	en	40-49	86.9	3,840	2,160	29.4	30
6,712	male	white	en	30-39	37.1	3,840	2,160	31.56	25
6,713	female	indian	en	10-19	17.2	1,920	1,080	69.57	30
6,714	female	asian	en	10-19	35.8	1,920	1,080	79.85	30
6,715	female	asian	en	10-19	18.3	1,920	1,080	38.54	30
6,716	female	asian	en	10-19	18.4	1,920	1,080	37.04	30
6,717	female	asian	en	10-19	30	1,920	1,080	73.17	30
6,718	female	asian	en	10-19	14.1	1,920	1,080	20.52	30
6,719	female	asian	en	10-19	15.3	1,920	1,080	36.94	30
6,720	male	white	en	30-39	19.8	3,840	2,160	22.4	24
6,721	male	white	en	40-49	90.4	3,840	2,160	28.23	30
6,722	male	white	en	40-49	110.8	3,840	2,160	35.64	30
6,723	male	white	en	40-49	74.8	3,840	2,160	24.39	30
6,724	male	white	en	40-49	227.3	3,840	2,160	74.81	30
6,725	male	white	en	40-49	65.9	3,840	2,160	22.29	30
6,726	male	white	en	40-49	111.9	3,840	2,160	36.6	30
6,727	male	white	en	40-49	153.8	3,840	2,160	50.52	30
6,728	male	white	en	40-49	78.9	3,840	2,160	25.53	30
6,729	male	white	en	30-39	49.7	3,840	2,160	33.83	30
6,730	male	white	en	30-39	67.4	3,840	2,160	33.78	59.9
6,731	male	asian	en	20-29	27.2	3,840	2,160	20.73	24
6,732	male	asian	en	20-29	30	3,840	2,160	22.23	24
6,733	male	asian	en	20-29	30.7	3,840	2,160	22.61	24
6,734	male	white	en	30-39	23.7	1,920	1,080	30	59.9
6,735	male	white	en	30-39	29.5	1,920	1,080	42.73	59.9
6,736	male	white	en	30-39	43.4	1,920	1,080	38	59.9
6,737	male	white	en	30-39	24.7	1,920	1,080	34.3	59.9
6,738	female	asian	en	20-29	18.7	1,920	1,080	24.24	25
6,739	female	asian	en	20-29	31.3	1,920	1,080	43.84	25
6,740	female	asian	en	20-29	22.5	1,920	1,080	32.16	25
6,741	female	asian	en	20-29	36	1,920	1,080	55.56	25
6,742	male	white	en	30-39	23.5	1,920	1,080	75	30
6,743	male	white	en	30-39	16.4	3,840	2,160	22.2	25
6,744	male	white	en	40-49	63.5	3,840	2,160	25.49	30
6,745	female	asian	en	20-29	91.3	3,840	2,160	21.9	24
6,746	female	white	en	20-29	63.1	1,920	1,080	95.7	59.9
6,747	female	white	en	20-29	14.5	1,920	1,080	21.15	59.9
6,748	female	white	en	20-29	65.4	1,920	1,080	93.19	59.9
6,749	female	white	en	20-29	19.6	1,920	1,080	29.58	59.9
6,750	female	white	en	20-29	37.4	1,920	1,080	57.86	59.9
6,751	male	white	en	30-39	127.8	3,840	2,160	99.35	24
6,752	male	white	en	30-39	140.4	3,840	2,160	107.73	24
6,753	male	white	en	30-39	59.4	1,920	1,080	65.27	30
6,754	male	white	en	30-39	32.5	3,840	2,160	28.77	60
6,755	male	white	en	30-39	31.3	3,840	2,160	25.97	60
6,756	male	white	en	30-39	24	3,840	2,160	21.37	60
6,757	female	asian	en	20-29	182.1	3,840	2,160	141.18	24
6,758	female	asian	en	20-29	85	3,840	2,160	65.4	24
6,759	female	asian	en	20-29	65.8	3,840	2,160	51.09	24
6,760	female	white	en	20-29	17.5	1,920	1,080	22.69	24
6,761	female	white	en	20-29	30.3	1,920	1,080	40.79	24
6,762	female	white	en	20-29	20.2	1,920	1,080	26.94	24
6,763	female	white	en	20-29	17.7	1,920	1,080	22.94	24
6,764	female	white	en	20-29	29.5	1,920	1,080	38.08	24
6,765	female	white	en	20-29	20.6	1,920	1,080	27.28	24
6,766	female	white	en	20-29	36.6	1,920	1,080	45.71	24
6,767	female	white	en	20-29	16.1	1,920	1,080	20.6	24
6,768	male	white	en	20-29	35.2	3,840	2,160	23.49	30
6,769	male	white	en	20-29	61	3,840	2,160	30.13	30

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