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
23,530	female	white	en	20-29	17.4	1,920	1,080	47.84	25
23,531	female	white	en	20-29	17	1,920	1,080	48.76	25
23,532	female	white	en	20-29	12.3	1,920	1,080	37.68	25
23,533	female	white	cs	20-29	10.6	1,920	1,080	21.15	30
23,534	female	white	cs	20-29	9.4	1,920	1,080	20.85	30
23,535	female	white	cs	20-29	14.3	1,920	1,080	32.43	30
23,536	female	white	cs	20-29	10.9	1,920	1,080	24.12	30
23,537	female	white	cs	20-29	17.6	1,920	1,080	34.53	30
23,538	female	white	cs	20-29	15.7	1,920	1,080	32.2	30
23,539	female	white	cs	20-29	13.9	1,920	1,080	28.36	30
23,540	female	white	cs	20-29	15.4	1,920	1,080	30.6	30
23,541	female	white	cs	20-29	24.7	1,920	1,080	51.35	30
23,542	male	white	en	20-29	27.8	3,840	2,160	23.86	24
23,543	male	white	en	20-29	84.6	3,840	2,160	24.11	24
23,544	male	white	en	20-29	51.5	3,840	2,160	44.5	24
23,545	male	white	en	20-29	32.8	3,840	2,160	27.99	24
23,546	male	white	en	20-29	216.3	3,840	2,160	178.6	24
23,547	male	white	cs	20-29	24.5	3,840	2,160	26.49	30
23,548	male	white	cs	20-29	64.2	3,840	2,160	68.37	30
23,549	male	white	cs	20-29	26.9	3,840	2,160	25.83	30
23,550	male	white	cs	20-29	22.3	3,840	2,160	21.09	30
23,551	male	white	cs	20-29	34.4	3,840	2,160	37.7	30
23,552	male	white	cs	20-29	21.2	3,840	2,160	22.69	30
23,553	male	white	cs	20-29	37	3,840	2,160	40.91	30
23,554	male	white	cs	20-29	22.7	3,840	2,160	24.09	30
23,555	male	white	cs	20-29	30.8	3,840	2,160	32.5	30
23,556	female	white	en	20-29	14	1,920	1,080	27.89	30
23,557	female	white	en	20-29	11	1,920	1,080	21.59	30
23,558	female	white	en	20-29	42.3	1,920	1,080	74.57	30
23,559	female	white	en	20-29	33.4	1,920	1,080	58.53	30
23,560	female	white	en	20-29	20.3	1,920	1,080	37.74	30
23,561	female	white	en	20-29	14.6	1,920	1,080	25.53	30
23,562	female	white	en	20-29	16.8	1,920	1,080	29.23	30
23,563	female	white	en	20-29	28.8	1,920	1,080	50.22	30
23,564	female	white	en	20-29	11.4	1,920	1,080	20.52	30
23,565	female	white	en	20-29	15.4	1,920	1,080	29.63	30
23,566	female	white	en	20-29	23	1,920	1,080	42.44	30
23,567	female	white	en	20-29	17.2	1,920	1,080	29.33	30
23,568	female	white	en	20-29	11.8	1,920	1,080	21.69	30
23,569	female	white	en	30-39	56.5	1,920	1,080	81.68	59.9
23,570	female	white	en	30-39	46.6	1,920	1,080	52.89	59.9
23,571	female	white	en	30-39	40	1,920	1,080	66.88	59.9
23,572	female	white	en	20-29	16.2	1,920	1,080	21.42	59.9
23,573	female	white	en	20-29	14.4	1,920	1,080	22.77	59.9
23,574	female	white	en	20-29	20.4	1,920	1,080	26.63	59.9
23,575	female	white	en	30-39	53.9	1,920	1,080	90.19	30
23,576	female	white	en	30-39	86.5	1,920	1,080	137.87	30
23,577	female	black	en	20-29	18.1	1,920	1,080	32.93	30
23,578	female	black	en	20-29	24	1,920	1,080	48.73	30
23,579	female	black	en	20-29	25	1,920	1,080	53.53	30
23,580	female	white	en	20-29	35.9	1,920	1,080	82.46	24
23,581	female	white	en	20-29	16	1,920	1,080	32.95	24
23,582	female	white	en	20-29	32.7	1,920	1,080	76.58	24
23,583	female	white	en	20-29	55	1,920	1,080	102.73	24
23,584	female	white	en	20-29	23.3	1,920	1,080	48.88	24
23,585	female	white	en	20-29	28.3	1,920	1,080	57.14	24
23,586	female	white	en	20-29	39.4	1,920	1,080	93.72	24
23,587	female	white	en	20-29	23.8	1,920	1,080	48.3	24
23,588	female	white	en	20-29	40	1,920	1,080	92.8	24
23,589	female	white	en	20-29	47.7	1,920	1,080	113.2	24
23,590	female	black	cs	30-39	23.5	1,920	1,080	32.32	25
23,591	female	white	en	20-29	39.7	1,920	1,080	71.3	30
23,592	female	white	en	20-29	17.5	1,920	1,080	33.5	30
23,593	female	white	en	20-29	11.6	1,920	1,080	21.99	30
23,594	female	white	en	20-29	27.2	1,920	1,080	46.65	30
23,595	female	white	en	20-29	41.5	1,920	1,080	76.08	30
23,596	female	white	en	20-29	23.3	1,920	1,080	39.37	30
21,547	male	asian	ko	20-29	20.1	1,920	1,080	21.47	30
21,548	male	asian	zh-cn	30-39	60.3	3,840	2,160	45.77	60
21,549	male	asian	zh-cn	30-39	50.9	3,840	2,160	40.57	60
21,550	male	asian	zh-cn	30-39	35.5	3,840	2,160	27.37	60
21,551	male	asian	zh-cn	30-39	31.5	3,840	2,160	24.57	60
21,552	male	asian	ko	40-49	30.1	3,840	2,160	31.64	50
21,553	male	asian	ko	30-39	66.9	3,840	2,160	55.41	59.9
21,554	male	asian	ko	20-29	113.2	3,840	2,160	57.06	30
21,555	male	asian	ko	20-29	75.9	3,840	2,160	46.78	30
21,556	male	asian	ko	20-29	87.2	3,840	2,160	48.35	30
21,557	male	asian	ko	20-29	140.7	3,840	2,160	74.21	30
21,558	male	asian	ko	20-29	36.2	3,840	2,160	25.53	30
21,560	male	asian	ko	20-29	60.2	3,840	2,160	31.63	30
21,561	male	asian	ko	20-29	61.9	3,840	2,160	35.87	30
21,562	male	asian	ko	20-29	87.8	3,840	2,160	43.54	30
21,563	female	asian	zh-cn	10-19	20.6	1,920	1,080	31.63	30
21,564	female	asian	zh-cn	10-19	21.2	1,920	1,080	36.93	30
21,565	male	asian	ko	20-29	44.5	3,840	2,160	33.63	30
21,566	male	asian	ko	20-29	37.1	3,840	2,160	28.43	30
21,568	male	asian	zh-cn	30-39	129.5	3,840	2,160	160.96	25
21,569	male	asian	zh-cn	30-39	55.5	3,840	2,160	61.32	25
21,570	male	asian	zh-cn	30-39	138.9	3,840	2,160	178.6	25
21,571	male	asian	zh-cn	30-39	142.6	3,840	2,160	177.96	25
21,572	male	asian	ko	50-59	15.2	1,920	1,080	28.92	25
21,573	male	asian	ko	50-59	30.1	1,920	1,080	43.08	25
21,574	male	asian	ko	50-59	35.2	1,920	1,080	58.08	25
21,575	female	asian	zh-cn	20-29	16.2	1,920	1,080	33.13	30
21,576	male	asian	zh-cn	20-29	19.4	1,920	1,080	20.83	30
21,577	female	asian	zh-cn	20-29	29.5	3,840	2,160	22.62	60
21,578	male	asian	ko	20-29	35.1	3,840	2,160	22.37	60
21,579	male	asian	ko	20-29	36.4	3,840	2,160	21.82	60
21,580	male	asian	ko	20-29	18.3	2,560	1,440	25.53	30
21,581	male	asian	ko	20-29	23	2,560	1,440	27.23	30

Subsets and Splits

No community queries yet

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