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
11,609	male	white	en	20-29	49.7	1,920	1,080	151.82	30
11,610	male	white	en	20-29	34.3	1,920	1,080	106.81	30
11,611	male	white	en	20-29	6.4	1,920	1,080	20.72	30
11,612	male	white	en	20-29	9	1,920	1,080	26.69	30
11,613	male	white	en	60-69	8.6	1,920	1,080	28.5	30
11,614	male	white	en	60-69	18.1	1,920	1,080	52.02	30
11,615	male	white	en	30-39	50.5	3,840	2,160	50.8	24
11,616	male	white	en	30-39	28.1	3,840	2,160	21.9	24
11,617	male	white	en	30-39	101	3,840	2,160	118.99	24
13,164	male	white	en	30-39	40.6	3,840	2,160	23.52	24
11,619	female	white	en	20-29	7.1	1,920	1,080	23.83	30
11,620	female	white	en	20-29	11.6	1,920	1,080	40.33	30
11,621	female	white	en	20-29	10.1	1,920	1,080	35.57	30
11,622	female	white	en	20-29	18	1,920	1,080	59.63	30
11,623	female	white	en	20-29	11	1,920	1,080	30.43	30
11,624	male	white	en	30-39	6.7	1,920	1,080	26.79	30
11,625	male	white	en	30-39	8.3	1,920	1,080	32.6	30
11,626	male	white	en	30-39	10	1,920	1,080	44.84	30
11,627	male	white	en	30-39	5.6	1,920	1,080	22.29	30
11,628	male	white	en	30-39	8.1	1,920	1,080	30.93	30
11,629	male	white	en	30-39	7	1,920	1,080	20.32	30
11,630	male	white	en	30-39	13.3	1,920	1,080	53.65	30
11,631	male	white	en	30-39	6.5	1,920	1,080	30.23	30
11,632	male	black	en	40-49	78.3	1,920	1,080	170.79	24
11,633	male	asian	en	20-29	30.9	1,920	1,080	27.37	60
11,634	male	white	en	20-29	24.3	1,920	1,080	47.73	30
11,635	male	white	en	20-29	29.8	1,920	1,080	62.53	30
11,636	female	white	en	20-29	28.9	3,840	2,160	33.83	30
11,637	female	white	en	20-29	27.4	3,840	2,160	27.29	30
11,638	female	white	en	20-29	24.4	3,840	2,160	24.32	30
11,639	male	white	en	30-39	79.9	3,840	2,160	79.93	30
11,640	male	white	en	30-39	24.2	3,840	2,160	24.43	30
11,641	male	white	en	30-39	23.9	3,840	2,160	22.23	30
11,642	male	white	en	30-39	22.1	3,840	2,160	25.03	30
11,643	male	white	en	30-39	21.1	3,840	2,160	23.27	30
11,644	male	white	en	20-29	31.1	2,560	1,440	27.77	60
11,645	male	white	en	20-29	67.9	3,840	2,160	21.65	59.9
11,646	male	white	en	30-39	27.2	3,840	2,160	24.98	24
11,647	male	white	en	30-39	21.6	3,840	2,160	20.52	24
11,648	male	white	en	30-39	67.8	3,840	2,160	62.23	24
11,649	male	white	en	30-39	146	3,840	2,160	130.42	24
11,650	male	white	en	30-39	31.3	3,840	2,160	30.32	24
11,651	male	white	en	30-39	25.2	3,840	2,160	22.9	24
11,652	male	white	en	30-39	33	3,840	2,160	20.19	30
11,653	male	white	en	30-39	33.2	3,840	2,160	22.52	30
11,654	female	white	en	20-29	29.9	3,840	2,160	25.32	25
11,655	female	white	en	30-39	59.1	3,840	2,160	21.77	59.9
11,656	female	white	en	30-39	85.2	3,840	2,160	35.03	59.9
11,657	female	white	en	30-39	78.8	3,840	2,160	30.53	59.9
11,658	female	white	en	30-39	63.8	3,840	2,160	24.29	59.9
11,659	male	white	en	20-29	13.7	1,920	1,080	55.76	25
11,660	male	white	en	20-29	5.8	1,920	1,080	22.08	25
11,661	male	white	en	20-29	4.9	1,920	1,080	24	25
11,662	male	white	en	20-29	16.9	1,920	1,080	67.44	25
11,663	male	white	en	20-29	7.6	1,920	1,080	34.08	25
11,664	male	indian	en	20-29	71.2	3,840	2,160	41.08	25
11,665	male	indian	en	20-29	46.3	3,840	2,160	26.16	25
11,666	male	indian	en	20-29	50.6	3,840	2,160	28.72	25
11,667	male	indian	en	20-29	58.4	3,840	2,160	32.4	25
11,668	male	indian	en	20-29	114.5	3,840	2,160	65.4	25
11,669	male	indian	en	20-29	106.6	3,840	2,160	58.08	25
11,670	male	indian	en	20-29	223.3	3,840	2,160	123.6	25
11,671	male	white	en	30-39	72.3	3,840	2,160	29.63	30
11,672	male	white	en	20-29	78.5	3,840	2,160	30.83	30
11,673	male	white	en	20-29	71.2	3,840	2,160	27.43	30
11,674	female	white	en	20-29	11.8	1,920	1,080	29.9	24
11,675	female	white	en	20-29	13.9	1,920	1,080	34.62	24
11,676	female	white	en	20-29	13.5	1,920	1,080	34.83	24
11,677	male	black	en	20-29	40.1	3,840	2,160	38.16	24
11,678	female	asian	en	10-19	19.5	1,920	1,080	32.83	30
11,679	female	asian	en	10-19	16.3	1,920	1,080	34.67	30
11,680	male	indian	en	30-39	16.5	1,920	1,080	62.36	30
11,681	male	indian	en	30-39	10	1,920	1,080	38.24	30
11,682	male	indian	en	30-39	7	1,920	1,080	26.93	30
11,683	male	white	en	20-29	14.4	3,840	2,160	25.11	24
11,684	male	white	en	20-29	21.8	3,840	2,160	25.65	24
11,685	female	white	en	20-29	9.9	1,920	1,080	20.31	24
11,686	female	white	en	20-29	13.7	1,920	1,080	34.37	24
11,687	female	white	en	20-29	12.4	1,920	1,080	34.37	24
11,688	female	white	en	20-29	10.9	1,920	1,080	27.78	24
11,689	female	white	en	20-29	23.9	1,920	1,080	59.85	24
11,690	female	white	en	20-29	6.5	1,920	1,080	20.15	24
11,691	female	white	en	20-29	7.3	1,920	1,080	22.52	24
11,692	female	white	en	20-29	8.5	1,920	1,080	25.48	24
11,693	female	white	en	20-29	6.9	1,920	1,080	20.77	24
11,694	female	white	en	20-29	9.9	1,920	1,080	32.62	24
11,695	male	white	en	20-29	46.9	3,840	2,160	24.73	24
11,696	male	white	en	20-29	48.3	3,840	2,160	25.23	24
11,697	male	white	en	20-29	119.6	3,840	2,160	63.19	24
11,698	male	white	en	20-29	64	3,840	2,160	35.49	24
11,699	male	white	en	20-29	45.4	3,840	2,160	24.61	24
11,700	male	white	en	20-29	62.8	3,840	2,160	34.62	24
11,701	male	white	en	30-39	348.4	3,840	2,160	178.62	60
11,702	female	white	cy	20-29	49.5	1,920	1,080	95.6	50
11,703	female	white	cy	20-29	31.1	1,920	1,080	50.88	50
11,704	female	white	cy	20-29	13.6	1,920	1,080	23.9	50
11,705	male	white	en	30-39	73	3,840	2,160	23.62	30
11,706	male	asian	en	20-29	34.5	3,840	2,160	20.89	30
13,165	male	white	en	30-39	57.8	3,840	2,160	37.29	24
13,166	male	white	en	30-39	38.5	3,840	2,160	25.28	24

Subsets and Splits

No community queries yet

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