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
22,482	male	asian	ko	40-49	45	2,560	1,440	120.83	30
22,483	male	asian	ko	40-49	33	2,560	1,440	96.63	30
22,484	male	asian	zh-cn	20-29	57.9	1,920	1,080	41.09	59.9
22,485	male	asian	zh-cn	20-29	29.6	1,920	1,080	21.07	59.9
22,486	male	asian	ko	30-39	148.3	3,840	2,160	176.31	30
22,487	male	asian	ko	30-39	62.8	3,840	2,160	66.23	30
22,488	male	asian	ko	20-29	115.1	3,840	2,160	31.23	30
22,489	male	asian	zh-cn	20-29	45	3,840	2,160	88.29	30
22,490	male	asian	zh-cn	20-29	14.4	3,840	2,160	29.3	30
22,491	male	asian	zh-cn	20-29	21.8	3,840	2,160	31.1	30
22,492	male	asian	zh-cn	20-29	21.1	3,840	2,160	23.69	30
22,493	female	asian	ko	20-29	39.8	3,840	2,160	31.13	30
22,494	female	asian	ko	20-29	29.8	3,840	2,160	20.24	50
22,495	male	asian	zh-cn	30-39	56.4	1,920	1,080	161.08	59.9
22,496	male	asian	zh-tw	20-29	119.1	3,840	2,160	63.03	30
22,497	male	asian	zh-tw	20-29	198.5	3,840	2,160	119.02	30
22,498	male	asian	zh-tw	20-29	75.9	3,840	2,160	42.81	30
22,499	male	asian	zh-tw	20-29	70.6	3,840	2,160	44.44	30
22,500	male	asian	zh-tw	20-29	114.8	3,840	2,160	78.38	30
22,501	male	asian	zh-tw	20-29	154.6	3,840	2,160	92.53	30
22,502	male	asian	zh-tw	20-29	110.5	3,840	2,160	69.87	30
22,503	male	asian	zh-tw	20-29	92.6	3,840	2,160	60.66	30
22,504	male	asian	zh-tw	20-29	34.2	3,840	2,160	22.09	30
22,505	male	asian	zh-tw	20-29	68.2	3,840	2,160	34.13	30
22,506	male	asian	zh-tw	20-29	87.8	3,840	2,160	46.18	30
22,507	male	asian	zh-tw	20-29	238.6	3,840	2,160	132.1	30
22,508	male	asian	zh-tw	20-29	56.7	3,840	2,160	30.86	30
22,509	male	asian	zh-cn	20-29	31.9	3,840	2,160	20.12	50
22,510	male	asian	zh-cn	20-29	25.9	3,840	2,160	22.1	50
23,600	female	black	en	20-29	32.2	1,920	1,080	35.4	30
23,601	female	black	en	20-29	23.9	1,920	1,080	23.02	30
23,602	female	white	en	20-29	62.5	1,920	1,080	109.9	24
23,603	female	white	en	20-29	15.9	1,920	1,080	27.11	24
23,604	female	white	en	20-29	27.9	1,920	1,080	50.68	24
23,605	female	white	en	20-29	19.4	1,920	1,080	34.28	24
23,606	female	white	en	20-29	18.1	1,920	1,080	27.28	24
23,607	female	white	en	20-29	20.4	1,920	1,080	34.53	24
23,608	female	white	cs	10-19	102.7	1,920	1,080	109.11	30
23,609	female	white	en	20-29	79.2	1,920	1,080	169.77	30
23,610	female	white	en	50-59	8	1,280	720	35.34	30
23,611	female	white	en	50-59	18.6	1,280	720	91.96	30
23,612	female	white	en	30-39	17.1	1,920	1,080	26.36	24
23,613	female	white	en	30-39	8.1	1,920	1,080	22.52	24
23,614	female	white	en	30-39	15.3	1,920	1,080	33.74	24
23,615	female	white	en	20-29	13.4	1,920	1,080	25.53	30
23,650	male	white	en	30-39	44.2	3,840	2,160	28.36	24
23,651	female	white	cs	10-19	10.3	1,920	1,080	24.6	25
23,652	female	white	cs	10-19	26	1,920	1,080	63.92	25
23,653	female	white	cs	10-19	24.9	1,920	1,080	76.72	25
23,654	female	white	cs	10-19	12.9	1,920	1,080	38.6	25
23,655	female	white	cs	10-19	13.7	1,920	1,080	38.8	25
23,656	female	white	cs	10-19	11.6	1,920	1,080	37.6	25
23,657	female	white	cs	10-19	20.8	1,920	1,080	53.6	25
23,658	female	white	cs	10-19	43.8	1,920	1,080	106.08	25
23,659	female	white	cs	10-19	9.2	1,920	1,080	22.2	25
23,660	female	white	cs	10-19	11.4	1,920	1,080	29.6	25
23,661	female	white	cs	10-19	15.7	1,920	1,080	44.6	25
23,662	female	white	cs	10-19	17.7	1,920	1,080	47.56	25
23,663	female	indian	en	30-39	17.2	1,920	1,080	25.4	24
23,664	female	indian	en	30-39	34.7	1,920	1,080	49.26	24
23,665	female	indian	en	30-39	21.3	1,920	1,080	30.66	24
23,666	female	indian	en	30-39	28.3	1,920	1,080	40.42	24
23,667	female	indian	en	30-39	15.6	1,920	1,080	21.27	24
23,668	female	indian	en	30-39	37.8	1,920	1,080	50.51	24
23,669	female	white	cs	30-39	9	1,920	1,080	23.07	30
23,670	female	white	en	20-29	12.5	1,920	1,080	20.09	30
23,671	female	white	en	20-29	12.9	1,920	1,080	26.33	30
23,672	male	black	nl	20-29	34.7	1,920	1,080	60.11	59.9
23,673	male	black	nl	20-29	15.1	1,920	1,080	28.13	59.9
23,674	male	black	nl	20-29	35.9	1,920	1,080	62.46	59.9
23,675	male	black	nl	20-29	80.6	1,920	1,080	146.7	59.9
23,676	male	black	nl	20-29	70.8	1,920	1,080	131.08	59.9
23,677	male	black	nl	20-29	11.9	1,920	1,080	22.29	59.9
23,678	female	white	pl	20-29	12.8	1,920	1,080	29.45	59.9
23,679	female	white	pl	20-29	20.8	1,920	1,080	46.76	59.9
23,680	female	white	pl	20-29	12.6	1,920	1,080	29.9	59.9
23,681	female	white	pl	20-29	19.3	1,920	1,080	42.93	59.9
23,682	female	white	pl	20-29	15	1,920	1,080	31.92	59.9
23,683	female	white	pl	20-29	13.3	1,920	1,080	24.44	59.9
23,684	female	white	pl	20-29	30.1	1,920	1,080	51.7	59.9
23,685	female	white	pl	20-29	16.8	1,920	1,080	27.81	59.9
23,686	female	white	pl	20-29	17.3	1,920	1,080	23.42	59.9
23,687	female	white	pl	20-29	14	1,920	1,080	21.57	59.9
23,688	female	white	pl	20-29	28.4	1,920	1,080	49.63	59.9
23,689	female	white	pl	20-29	22.2	1,920	1,080	46.28	59.9
23,690	female	white	pl	20-29	48.8	1,920	1,080	103.95	59.9
23,691	female	white	pl	20-29	57.3	1,920	1,080	116.57	59.9
23,692	female	white	en	20-29	20.8	1,920	1,080	31.01	59.9
23,693	female	white	en	20-29	18.4	1,920	1,080	27.72	25
23,694	male	white	en	20-29	81.9	3,840	2,160	39.94	30
23,695	male	white	en	20-29	54	3,840	2,160	27.99	30
23,696	male	white	en	20-29	94.5	3,840	2,160	55.26	30
23,697	male	white	en	20-29	40.9	3,840	2,160	23.52	30
23,698	female	white	cs	40-49	32.7	1,920	1,080	31.33	59.9
23,699	female	white	cs	40-49	32.7	1,920	1,080	41.59	59.9
23,700	female	black	en	20-29	28.5	1,920	1,080	62.28	25
23,701	female	black	en	20-29	54.5	1,920	1,080	54.12	25
23,702	female	black	en	20-29	49.7	1,920	1,080	44.64	25
23,703	female	white	af	30-39	44.9	1,920	1,080	74.76	25
23,704	female	white	en	20-29	13.5	1,920	1,080	21.86	50

Subsets and Splits

No community queries yet

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