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
16,435	male	white	en	40-49	50.6	3,840	2,160	44.71	24
16,436	male	white	en	40-49	30.7	3,840	2,160	23.11	24
16,437	male	white	en	40-49	40.6	3,840	2,160	31.66	24
16,438	male	white	en	30-39	41	3,840	2,160	32.03	24
16,439	male	white	en	30-39	39.1	3,840	2,160	31.99	24
16,440	male	white	en	30-39	33.1	3,840	2,160	24.48	24
16,441	male	white	en	30-39	79.4	3,840	2,160	61.94	24
16,442	male	white	en	30-39	40.6	3,840	2,160	29.04	25
16,443	male	white	en	30-39	59.5	3,840	2,160	41.52	25
16,444	male	white	en	30-39	6.6	1,920	1,080	21.32	30
16,445	male	white	en	30-39	6.4	1,920	1,080	22.69	30
16,446	male	white	en	20-29	47.2	3,840	2,160	23.92	24
16,447	male	white	en	20-29	73.2	3,840	2,160	38.67	24
16,448	male	white	en	30-39	62.9	3,840	2,160	32.73	30
16,449	male	white	en	30-39	49.5	3,840	2,160	21.43	30
16,450	male	black	en	30-39	11.6	1,920	1,080	34.92	24
16,451	male	black	en	30-39	24.3	1,920	1,080	78.42	24
16,452	male	black	en	30-39	21.3	1,920	1,080	71.42	24
16,453	male	black	en	30-39	10.1	1,920	1,080	31.67	24
16,454	male	asian	en	20-29	8.6	1,920	1,080	21.65	24
16,455	male	asian	en	20-29	9.9	1,920	1,080	27.4	24
16,456	male	asian	en	20-29	15.6	1,920	1,080	38.54	24
16,457	male	asian	en	20-29	10.1	1,920	1,080	29.99	24
16,458	male	white	en	30-39	95.6	3,840	2,160	44.48	25
16,459	male	white	en	50-59	47.6	1,920	1,080	47.24	25
16,460	male	white	en	50-59	33.1	1,920	1,080	33	25
16,461	male	white	en	50-59	21.5	1,920	1,080	20.12	25
16,462	male	white	en	50-59	26.3	1,920	1,080	22.2	25
16,463	male	white	en	50-59	50.3	1,920	1,080	45.6	25
16,464	male	white	en	50-59	42.4	1,920	1,080	43.44	25
16,465	male	white	en	50-59	26.4	1,920	1,080	24.96	25
16,466	male	asian	en	10-19	135.7	3,840	2,160	69	30
16,467	male	asian	en	10-19	323.5	3,840	2,160	135.67	30
16,468	male	asian	en	10-19	252.7	3,840	2,160	105.61	30
16,469	male	asian	en	10-19	118.2	3,840	2,160	55.46	30
16,470	female	black	en	20-29	63.9	1,920	1,080	178.48	25
16,471	female	black	en	20-29	26.2	1,920	1,080	59.32	25
16,472	male	white	en	30-39	31.2	3,840	2,160	25.49	30
16,473	male	white	en	30-39	21.9	3,840	2,160	23.9	24
16,474	male	white	en	30-39	14.5	1,920	1,080	25	60
16,475	male	white	en	40-49	31.1	1,920	1,080	46.65	30
16,476	female	white	en	20-29	42.9	3,840	2,160	22.23	24
16,477	female	white	en	20-29	94.2	3,840	2,160	49.88	24
16,478	female	white	en	20-29	43.6	3,840	2,160	23.02	24
16,479	female	white	en	20-29	49.6	3,840	2,160	26.15	24
16,480	female	white	en	20-29	63.2	3,840	2,160	33.37	24
16,481	female	white	en	20-29	45.4	3,840	2,160	25.02	24
16,482	female	white	en	20-29	50.4	3,840	2,160	28.99	24
16,483	female	white	en	20-29	40.8	3,840	2,160	23.36	24
16,484	female	asian	en	20-29	10.6	1,920	1,080	21.36	25
16,485	male	white	en	30-39	27.2	3,840	2,160	30.61	24
16,486	female	black	en	30-39	82.7	1,920	1,080	104.3	30
16,487	female	white	en	30-39	77.4	3,840	2,160	50.43	24
16,488	female	white	en	30-39	69.8	3,840	2,160	42.88	24
16,489	female	white	en	30-39	36.3	3,840	2,160	20.9	24
16,490	female	white	en	30-39	242.1	3,840	2,160	151.9	24
16,491	female	white	en	30-39	45.9	3,840	2,160	28.36	24
16,492	male	white	en	20-29	37.5	3,840	2,160	25	25
16,493	female	white	en	20-29	208	3,840	2,160	88.42	24
16,494	female	white	en	20-29	138.4	3,840	2,160	58.35	24
16,495	female	asian	en	40-49	5.4	1,280	720	25.33	30
16,496	female	asian	en	20-29	25.4	1,920	1,080	49.48	30
16,497	female	asian	en	20-29	88.9	1,920	1,080	176.44	30
16,498	female	asian	en	20-29	11.6	1,920	1,080	23.06	30
16,499	female	white	en	30-39	28.2	1,920	1,080	38.33	30
16,500	female	white	en	30-39	14.9	1,920	1,080	21.33	30
16,501	male	white	en	30-39	157.7	3,840	2,160	115.62	30
16,502	male	white	en	30-39	146	3,840	2,160	115.62	30
16,503	male	white	en	30-39	32.5	3,840	2,160	24.79	30
16,504	male	white	en	30-39	54.1	3,840	2,160	38.54	30
16,505	male	white	en	30-39	65.9	3,840	2,160	34.91	24
16,506	male	white	en	30-39	48.3	3,840	2,160	24.93	30
16,507	female	white	en	20-29	28.9	3,840	2,160	22.4	24
16,508	female	white	en	20-29	72.4	3,840	2,160	50.55	24
16,509	female	white	en	20-29	145	3,840	2,160	85.71	24
16,510	male	black	en	30-39	69.9	3,840	2,160	44.17	24
16,511	male	black	en	30-39	35.3	3,840	2,160	21.86	24
16,512	male	black	en	30-39	68.2	3,840	2,160	41.67	24
16,513	male	black	en	30-39	75.9	3,840	2,160	67.23	24
16,514	male	black	en	30-39	53.6	3,840	2,160	46.88	24
16,515	male	black	en	30-39	37.7	3,840	2,160	30.03	24
16,516	male	black	en	30-39	47.2	3,840	2,160	35.16	24
16,517	male	asian	en	20-29	34.4	3,840	2,160	32.63	30
16,518	male	white	en	30-39	48.1	3,840	2,160	23.4	25
16,519	female	white	en	20-29	64	1,920	1,080	172.17	24
16,520	female	white	en	20-29	72.8	1,920	1,080	159.95	24
16,521	female	white	en	30-39	33.5	3,840	2,160	22.9	24
16,522	female	white	en	30-39	39.4	3,840	2,160	27.03	24
16,523	female	white	en	30-39	61.5	3,840	2,160	42.46	24
16,524	female	white	en	30-39	72.1	3,840	2,160	46.67	24
16,525	male	white	en	30-39	69.2	3,840	2,160	25.96	30
16,526	male	white	en	30-39	594.8	3,840	2,160	158.99	30
16,527	male	white	en	30-39	42.7	3,840	2,160	32.73	30
16,528	male	white	en	30-39	180.9	3,840	2,160	72.54	30
16,529	male	white	en	30-39	102.4	3,840	2,160	37.1	30
16,530	male	white	en	30-39	63.6	3,840	2,160	36.37	30
16,531	male	white	en	30-39	58.4	3,840	2,160	36.9	30
16,532	male	white	en	30-39	54.8	3,840	2,160	26.33	30
16,533	male	white	en	30-39	77.3	3,840	2,160	57.26	30
16,534	male	white	en	40-49	39.1	3,840	2,160	24.82	30

Subsets and Splits

No community queries yet

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