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
4,661	female	white	en	30-39	25.9	1,920	1,080	33.2	59.9
4,662	female	white	en	30-39	36.1	3,840	2,160	31.92	25
4,663	female	white	en	20-29	33.9	3,840	2,160	21.73	30
4,664	female	white	en	30-39	17.7	1,920	1,080	31.61	24
4,665	male	white	en	30-39	15	3,840	2,160	21.23	24
4,666	male	white	en	30-39	22.7	3,840	2,160	30.28	24
4,667	male	white	en	30-39	48.7	3,840	2,160	66.57	24
4,668	male	white	en	30-39	18.8	3,840	2,160	21.77	24
4,669	male	white	en	30-39	70.6	3,840	2,160	78.45	24
4,670	male	white	en	30-39	81.4	3,840	2,160	93.47	24
4,671	female	white	en	20-29	51.7	3,840	2,160	35.71	24
4,672	female	white	en	20-29	35.5	3,840	2,160	25.04	24
4,673	male	white	en	30-39	75.9	3,840	2,160	37.25	24
4,674	male	white	en	30-39	56.2	3,840	2,160	32.53	24
4,675	male	white	en	30-39	65.1	3,840	2,160	30.86	24
4,676	male	white	en	20-29	28.4	1,920	1,080	26.56	59.9
4,677	male	white	en	40-49	85.5	1,920	1,080	66.63	59.9
4,678	male	white	en	30-39	40.2	3,840	2,160	21.76	59.9
4,679	male	asian	en	20-29	48.6	3,840	2,160	30.42	24
4,680	male	asian	en	20-29	124	3,840	2,160	74.92	24
4,681	male	asian	en	20-29	51	3,840	2,160	29.92	24
4,682	male	asian	en	20-29	149.5	3,840	2,160	88.54	24
4,688	male	white	en	20-29	13.8	1,920	1,080	35.83	24
4,689	male	white	en	20-29	64	3,840	2,160	28.45	24
4,690	male	white	en	30-39	10.5	1,920	1,080	23	50
4,691	male	white	en	20-29	35.9	3,840	2,160	20.98	24
4,692	female	white	en	30-39	85.2	3,840	2,160	46.85	30
4,693	female	white	en	30-39	305.4	3,840	2,160	178.61	30
4,694	female	white	en	30-39	94.1	3,840	2,160	49.42	30
4,695	female	white	en	30-39	42.7	3,840	2,160	23.29	30
4,696	female	white	en	30-39	42.9	3,840	2,160	22.99	30
4,697	female	white	en	30-39	6.6	1,280	720	20.92	30
4,698	male	white	en	20-29	32.3	3,840	2,160	25.99	30
4,699	male	white	en	30-39	70	3,840	2,160	61.94	24
4,700	male	white	en	30-39	40.3	3,840	2,160	32.82	24
4,701	male	white	en	30-39	28.4	3,840	2,160	24.86	24
4,702	male	white	en	30-39	33.3	3,840	2,160	30.32	24
4,703	male	white	en	30-39	25.1	3,840	2,160	23.31	24
4,704	male	white	ca	20-29	109.2	1,920	1,080	178.5	30
4,705	male	white	en	20-29	31.2	3,840	2,160	26.86	24
4,706	male	white	en	20-29	60.8	3,840	2,160	51.55	24
4,707	male	white	en	20-29	55.3	3,840	2,160	46.17	24
4,708	male	white	en	30-39	32.5	1,920	1,080	80.37	60
4,709	male	white	en	40-49	6.7	1,920	1,080	26.64	25
4,710	male	white	en	40-49	8.1	1,920	1,080	35.4	25
4,711	male	white	en	40-49	12.3	1,920	1,080	53.4	25
4,712	male	white	en	40-49	6.8	1,920	1,080	29.6	25
4,713	male	white	en	20-29	41.3	3,840	2,160	20.52	24
4,714	male	asian	en	20-29	44	3,840	2,160	24.6	25
4,715	female	white	en	30-39	18.1	1,920	1,080	44.31	30
4,716	female	white	en	30-39	27.6	1,920	1,080	64.43	30
4,717	male	white	en	40-49	50.4	3,840	2,160	23.24	59.9
4,718	male	white	en	40-49	116.2	3,840	2,160	52.99	59.9
4,719	male	white	en	40-49	44.9	3,840	2,160	20.59	59.9
4,720	male	white	en	40-49	100.6	3,840	2,160	45.73	59.9
4,721	male	white	en	40-49	119	3,840	2,160	54.47	59.9
4,722	male	white	en	40-49	46.8	3,840	2,160	21.54	59.9
4,723	male	white	en	40-49	86.6	3,840	2,160	40.47	59.9
4,724	female	white	en	20-29	22.4	1,920	1,080	52.09	30
4,725	female	white	en	20-29	17.6	1,920	1,080	34.57	30
4,726	female	white	en	20-29	27.2	1,920	1,080	53.82	30
4,727	female	white	en	20-29	17.2	1,920	1,080	39.71	30
4,728	female	white	en	20-29	68.8	1,920	1,080	175.74	30
4,729	male	asian	en	30-39	95.1	3,840	2,160	45.68	30
4,730	male	asian	en	30-39	52.3	3,840	2,160	27.86	30
4,731	male	asian	en	30-39	111.1	3,840	2,160	53.25	30
4,732	male	asian	en	30-39	53.5	3,840	2,160	24.89	30
4,733	male	asian	en	30-39	243.9	3,840	2,160	119.52	30
4,734	male	asian	en	30-39	136	3,840	2,160	60.93	30
4,735	male	white	en	40-49	83.8	1,920	1,080	122.03	30
4,736	male	white	en	40-49	72.1	1,920	1,080	128.03	30
4,737	male	asian	en	20-29	73.4	3,840	2,160	76.83	24
4,738	male	asian	en	20-29	30.6	3,840	2,160	33.24	24
4,739	male	asian	en	20-29	86.1	3,840	2,160	99.1	24
4,740	male	asian	en	20-29	48.1	3,840	2,160	51.01	24
4,741	male	asian	en	20-29	31.2	3,840	2,160	34.24	24
4,742	male	white	en	20-29	6.2	1,280	720	22.06	30
4,743	male	white	en	30-39	36.2	3,840	2,160	27.86	24
4,744	male	white	en	30-39	29.8	3,840	2,160	24.11	24
4,745	male	white	en	30-39	27.2	3,840	2,160	20.48	24
4,746	male	white	en	30-39	63	3,840	2,160	47.13	24
4,747	male	white	en	30-39	28.6	3,840	2,160	22.36	24
4,748	male	white	en	30-39	27.9	3,840	2,160	21.31	24
4,749	male	white	en	30-39	28.9	3,840	2,160	24.36	24
4,750	female	asian	en	20-29	12.4	1,920	1,080	41.01	30
4,751	female	asian	en	20-29	19.1	1,920	1,080	61.66	30
4,752	female	asian	en	20-29	14.1	1,920	1,080	45.41	30
4,753	female	asian	en	20-29	6.1	1,920	1,080	20.42	30
4,754	female	asian	en	20-29	16.5	1,920	1,080	55.12	30
4,755	female	asian	en	20-29	8.6	1,920	1,080	27.59	30
4,756	female	asian	en	20-29	8.9	1,920	1,080	26.59	30
4,757	male	white	en	30-39	15.1	1,920	1,080	33.77	30
4,758	male	white	en	30-39	15.8	1,920	1,080	20.28	23.7
4,759	male	white	en	50-59	122.9	3,840	2,160	21.52	59.9
4,760	male	indian	en	20-29	25.3	1,920	1,080	55.26	30
4,761	male	indian	en	20-29	15.6	1,920	1,080	37.14	30
4,762	male	white	en	50-59	11.3	1,920	1,080	21.9	24
4,763	male	white	en	50-59	21.5	1,920	1,080	47.67	24
4,764	male	white	en	50-59	13.2	1,920	1,080	30.66	24
4,765	male	white	en	50-59	9.8	1,920	1,080	20.6	24

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