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
43,650	male	white	es	40-49	23.1	1,920	1,080	39.61	30
43,651	male	white	en	30-39	19.2	1,920	1,080	29.67	24
43,652	male	white	pt	30-39	93.7	3,840	2,160	39.33	30
43,653	male	white	pt	30-39	248.8	3,840	2,160	93.13	30
43,654	male	white	pt	30-39	166	3,840	2,160	63.13	30
43,655	male	white	pt	30-39	66.5	3,840	2,160	22.97	30
43,656	female	white	pt	30-39	59.4	3,840	2,160	32.13	30
43,657	female	white	pt	30-39	33.3	3,840	2,160	21.49	30
43,658	male	black	pt	30-39	17.4	1,920	1,080	31.03	30
43,659	male	white	pt	30-39	14.9	1,920	1,080	23.69	30
43,660	male	white	pt	30-39	34.2	1,920	1,080	60.86	30
43,661	male	white	pt	20-29	59.5	3,840	2,160	38.81	30
43,662	male	white	pt	20-29	33	3,840	2,160	22.46	30
43,663	male	white	pt	30-39	5.5	1,920	1,080	22.53	30
43,664	male	white	es	30-39	34.4	3,840	2,160	20.28	25
43,665	male	white	pt	20-29	10.2	1,920	1,080	23.67	60
43,666	male	white	pt	20-29	10	1,920	1,080	21.73	60
43,667	female	white	en	20-29	25.5	1,920	1,080	35.14	59.9
43,668	female	white	en	20-29	19.1	1,920	1,080	28.43	59.9
43,669	female	white	en	20-29	42.7	1,920	1,080	60.56	59.9
43,670	female	white	en	20-29	25.1	1,920	1,080	37.19	59.9
43,671	male	black	pt	20-29	23.4	1,920	1,080	45.05	30
43,672	female	white	en	20-29	21	1,920	1,080	37.94	30
43,673	female	white	pt	30-39	43.3	1,920	1,080	94.04	25
43,674	female	white	pt	30-39	9.5	1,920	1,080	20.48	25
43,675	male	black	pt	20-29	19.7	3,840	2,160	21.23	30
43,676	male	indian	pt	40-49	10.2	1,920	1,080	30.57	24
43,677	male	indian	pt	40-49	9.3	1,920	1,080	29.03	24
43,678	male	black	pt	30-39	10.7	1,920	1,080	21.67	60
43,679	male	black	pt	30-39	16	1,920	1,080	34.62	60
43,680	male	black	pt	30-39	71.7	1,920	1,080	178.25	60
43,681	male	black	pt	30-39	47.6	1,920	1,080	106.72	60
43,682	male	black	pt	30-39	62.4	1,920	1,080	134.77	60
43,683	male	black	pt	30-39	10.2	1,920	1,080	23.67	60
43,684	male	white	en	20-29	32	1,920	1,080	84.95	30
43,685	male	white	en	20-29	17.4	1,920	1,080	54.85	30
43,686	male	white	en	20-29	29.4	1,920	1,080	77.38	30
43,687	male	white	en	20-29	15.6	1,920	1,080	42.24	30
43,688	male	white	en	20-29	16.1	1,920	1,080	45.75	30
43,689	male	white	en	20-29	23.5	1,920	1,080	60.49	30
43,690	male	white	en	20-29	8.2	1,920	1,080	27.23	30
43,691	male	white	en	20-29	61.7	1,920	1,080	178.48	30
43,692	male	white	en	20-29	12.8	1,920	1,080	35.77	30
43,693	male	white	pt	30-39	23.3	1,920	1,080	25.63	30
43,694	male	white	pt	30-39	11	1,920	1,080	22.89	30
43,695	male	white	pt	30-39	13.7	1,920	1,080	29.36	30
43,696	male	white	en	30-39	31.5	3,840	2,160	31.04	24
43,697	male	white	en	30-39	29.9	3,840	2,160	33.04	24
43,698	male	white	en	30-39	47.9	3,840	2,160	51.42	24
43,699	male	white	pt	30-39	13.6	1,920	1,080	31.1	30
43,700	male	white	pt	20-29	24	1,920	1,080	58.26	30
43,701	male	white	pt	20-29	12	1,920	1,080	29.63	30
43,702	male	white	pt	20-29	8.8	1,920	1,080	20.22	30
43,703	male	white	pt	20-29	9.8	1,920	1,080	21.32	30
43,704	male	white	pt	20-29	8.4	1,920	1,080	21.79	30
43,705	male	white	pt	30-39	21.5	1,920	1,080	44.23	30
43,706	male	white	pt	30-39	41.7	1,920	1,080	98.1	30
43,707	male	white	pt	30-39	27.4	1,920	1,080	51.43	30
43,708	male	white	pt	30-39	24.3	1,920	1,080	60.16	30
43,709	male	white	pt	30-39	19.6	1,920	1,080	34.13	30
43,710	male	white	pt	30-39	42.1	1,920	1,080	91.49	30
43,711	female	white	pt	20-29	19.4	1,920	1,080	46.4	30
43,712	female	white	pt	20-29	9.5	1,920	1,080	23.87	30
43,713	female	white	pt	20-29	8.7	1,920	1,080	21.83	30
43,714	female	white	pt	20-29	26.5	1,920	1,080	62.7	30
43,715	female	white	pt	20-29	15.6	1,920	1,080	38.87	30
43,716	female	white	pt	20-29	10.2	1,920	1,080	25.63	30
43,717	female	white	pt	40-49	22.4	1,920	1,080	37.43	30
43,718	male	white	pt	20-29	39.8	3,840	2,160	21.6	59.9
43,719	male	asian	en	10-19	4.4	1,920	1,080	21.32	30
43,720	male	asian	en	10-19	4.5	1,920	1,080	24.79	30
43,721	female	black	pt	20-29	65	1,920	1,080	122.88	25
43,722	female	black	pt	20-29	42.1	1,920	1,080	79.56	25
43,723	female	black	pt	20-29	18.8	1,920	1,080	33.36	25
43,724	female	black	pt	20-29	23.6	1,920	1,080	39.72	25
43,725	female	black	pt	20-29	48.5	1,920	1,080	87.84	25
43,726	female	black	pt	20-29	46.3	1,920	1,080	81.24	25
43,727	male	indian	pt	20-29	108.8	1,920	1,080	161.88	59.9
43,728	male	indian	pt	20-29	17.4	1,920	1,080	25.78	59.9
43,729	male	indian	pt	20-29	28.4	1,920	1,080	43.84	59.9
43,730	male	indian	pt	20-29	100.3	1,920	1,080	145.3	59.9
43,731	male	indian	pt	20-29	38.4	1,920	1,080	48.11	59.9
43,732	male	indian	pt	20-29	20.3	1,920	1,080	28.66	59.9
43,733	male	indian	pt	20-29	69.5	1,920	1,080	109.06	59.9
43,734	male	indian	pt	20-29	57.2	1,920	1,080	87.97	59.9
43,735	male	indian	pt	20-29	68.6	1,920	1,080	107.02	59.9
43,736	male	white	pt	30-39	13.4	1,920	1,080	22.01	59.9
43,737	male	white	pt	20-29	76.9	3,840	2,160	33.23	30
43,738	male	white	pt	20-29	30	3,840	2,160	22.23	24
43,739	male	white	pt	20-29	52.8	3,840	2,160	42	24
43,740	male	white	pt	20-29	47.1	3,840	2,160	38.16	24
43,741	male	white	pt	20-29	54.9	3,840	2,160	47.09	24
43,742	male	white	pt	20-29	39	3,840	2,160	40.5	24
43,743	male	white	pt	20-29	39.4	3,840	2,160	32.28	24
43,744	male	white	pt	20-29	18.8	3,840	2,160	23.23	24
43,745	male	white	pt	20-29	33.1	3,840	2,160	28.86	24
43,746	male	white	pt	20-29	155.9	3,840	2,160	175.8	24
43,747	male	white	pt	20-29	91.5	3,840	2,160	98.85	24
43,748	male	indian	en	20-29	23.6	1,920	1,080	51.17	60
43,749	male	white	en	20-29	12.4	1,920	1,080	28.92	25

Subsets and Splits

No community queries yet

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