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
16,735	female	white	en	30-39	16.5	1,920	1,080	37.34	30
16,736	female	white	en	30-39	26.6	1,920	1,080	61.96	30
16,737	male	white	en	40-49	122.9	1,920	1,080	175.8	30
16,738	male	white	en	30-39	48.7	3,840	2,160	28.53	24
16,739	male	white	en	30-39	43.4	3,840	2,160	25.98	24
16,740	male	white	en	30-39	97.8	3,840	2,160	49.92	24
16,741	male	white	en	30-39	206.7	3,840	2,160	108.11	24
16,742	male	white	en	30-39	89.7	3,840	2,160	46	24
16,743	male	white	en	30-39	55.1	3,840	2,160	28.86	24
16,744	male	white	en	30-39	55.6	3,840	2,160	28.03	24
16,745	male	white	en	30-39	8.5	1,920	1,080	23.77	30
16,746	male	white	en	30-39	25.3	3,840	2,160	25.36	24
16,747	male	white	en	30-39	28.8	3,840	2,160	27.57	24
16,748	female	white	en	20-29	77	3,840	2,160	40.2	25
16,749	male	white	en	20-29	100.4	3,840	2,160	35.49	24
16,750	male	asian	en	20-29	36.4	3,840	2,160	39	24
16,751	male	asian	en	20-29	23.7	3,840	2,160	24.48	24
16,752	male	asian	en	20-29	25.4	3,840	2,160	25.48	24
16,753	male	asian	en	20-29	65.2	3,840	2,160	73.57	24
16,754	male	asian	en	20-29	39.3	3,840	2,160	44.25	24
16,755	male	white	en	30-39	37.9	3,840	2,160	25.96	30
16,756	male	white	en	30-39	31.5	3,840	2,160	21.15	30
16,757	male	white	en	30-39	41.8	3,840	2,160	26.36	30
16,758	male	white	en	30-39	38.9	3,840	2,160	26.26	30
16,759	male	white	en	30-39	51.1	3,840	2,160	34.87	30
16,760	male	white	en	30-39	38.7	3,840	2,160	25.93	30
16,761	male	white	en	30-39	31.1	3,840	2,160	24.77	24
16,762	male	white	en	30-39	37.2	3,840	2,160	25.65	24
16,763	male	white	en	30-39	32.2	3,840	2,160	21.27	24
16,764	male	white	en	20-29	45.6	3,840	2,160	20.4	24
16,765	male	white	en	30-39	215	3,840	2,160	106.96	24
16,766	female	white	en	20-29	73.3	3,840	2,160	25.02	59.9
16,767	female	white	en	20-29	60.9	3,840	2,160	20.1	59.9
16,768	female	white	en	20-29	77.5	3,840	2,160	24.56	59.9
16,769	male	white	en	20-29	27.9	3,840	2,160	21.02	60
16,770	male	white	en	30-39	19.3	1,920	1,080	31.53	30
16,771	male	white	en	30-39	17.2	1,920	1,080	27.53	30
16,772	male	white	en	40-49	135.8	3,840	2,160	48.35	30
16,773	female	white	en	20-29	11.3	1,920	1,080	31.73	30
16,774	female	white	en	20-29	18.1	1,920	1,080	24.33	30
16,775	female	white	en	20-29	6.1	1,920	1,080	21.03	30
16,776	male	white	en	30-39	369.8	3,840	2,160	137.51	24
16,777	male	white	en	30-39	72	3,840	2,160	27.65	24
16,778	male	white	en	20-29	156.4	3,840	2,160	46.33	30
16,779	male	white	en	20-29	260.2	3,840	2,160	75.57	30
16,780	male	white	en	20-29	108	3,840	2,160	31.93	30
16,781	male	white	en	40-49	88.7	3,840	2,160	20.92	59.9
16,782	male	white	en	30-39	41.2	3,840	2,160	20.59	30
16,783	male	white	en	30-39	62.8	3,840	2,160	33.47	30
16,784	male	asian	en	20-29	126.3	3,840	2,160	65.82	60
16,785	male	asian	en	20-29	59.1	3,840	2,160	30.78	60
16,786	male	asian	en	20-29	136.2	3,840	2,160	71.77	60
16,787	female	white	en	30-39	16.5	1,920	1,080	29.73	30
16,788	female	white	en	30-39	12.1	1,920	1,080	24.93	30
16,789	male	white	en	30-39	36.8	3,840	2,160	26.73	30
16,790	male	white	en	30-39	23.7	3,840	2,160	23.86	30
16,791	male	white	en	30-39	53	3,840	2,160	29.03	24
16,792	male	asian	en	10-19	64.8	3,840	2,160	44	24
16,793	male	white	en	20-29	112	3,840	2,160	46	30
16,794	male	white	en	20-29	82.9	3,840	2,160	33.57	30
16,795	male	white	en	20-29	95.8	3,840	2,160	39.7	30
16,796	female	white	en	10-19	12.2	1,280	720	28.24	24
16,797	female	white	en	30-39	89.1	3,840	2,160	52.65	30
16,798	male	white	en	20-29	23.7	1,920	1,080	47.61	30
16,799	male	white	en	30-39	19.7	3,840	2,160	25.79	30
16,800	male	white	en	30-39	16.1	3,840	2,160	21.39	30
16,801	male	white	en	30-39	37.7	3,840	2,160	46.81	30
16,802	female	asian	en	30-39	71.5	3,840	2,160	22.61	24
16,803	female	white	en	20-29	26	3,840	2,160	23.04	25
16,804	female	white	en	20-29	30.4	3,840	2,160	26.64	25
16,805	male	white	en	30-39	12.2	1,920	1,080	30.36	24
16,806	male	white	en	30-39	13.2	1,920	1,080	31.03	24
16,807	male	white	en	30-39	12.9	1,920	1,080	26.53	24
16,808	female	white	en	20-29	46.4	3,840	2,160	23.03	30
16,809	female	white	en	20-29	116.6	3,840	2,160	54.23	30
16,810	female	white	en	20-29	51.6	3,840	2,160	29.63	30
16,811	female	white	en	20-29	61.9	3,840	2,160	30.53	30
16,812	female	white	en	20-29	67.5	3,840	2,160	39.97	30
16,813	female	white	en	20-29	61	3,840	2,160	34.57	30
16,814	female	white	en	20-29	296.6	3,840	2,160	175.26	24
16,815	male	white	en	40-49	60.6	3,840	2,160	33.43	30
16,816	male	white	en	40-49	51.4	3,840	2,160	22.9	30
16,817	male	white	en	40-49	33.4	3,840	2,160	37.44	25
16,818	male	asian	en	20-29	9	1,920	1,080	21.9	30
16,819	male	asian	en	20-29	15	1,920	1,080	40.83	30
16,820	male	asian	en	20-29	15.6	1,920	1,080	37.77	30
16,821	male	asian	en	20-29	10.7	1,920	1,080	28.17	30
16,822	male	asian	en	20-29	9.3	1,920	1,080	20.2	30
16,823	male	asian	en	20-29	8.4	1,920	1,080	25.73	30
16,824	male	asian	en	20-29	8.4	1,920	1,080	23.4	30
16,825	male	white	en	30-39	31.2	3,840	2,160	25.23	30
16,826	male	white	en	40-49	36.7	3,840	2,160	23.02	24
16,827	male	white	en	30-39	26.4	3,840	2,160	23.73	24
16,828	male	white	en	30-39	50.8	3,840	2,160	43.54	24
16,829	male	white	en	30-39	28.1	3,840	2,160	22.65	24
16,830	male	white	en	30-39	90.9	3,840	2,160	76.58	24
16,831	male	white	en	30-39	56.8	3,840	2,160	49.42	24
16,832	female	white	en	30-39	19.5	1,920	1,080	48.05	24
16,833	male	black	en	30-39	122.3	3,840	2,160	36.74	30
16,834	male	black	en	30-39	300	3,840	2,160	75.88	30

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.