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
20,071	male	white	en	20-29	52	3,840	2,160	34	24
20,072	male	white	en	20-29	69.1	3,840	2,160	46.92	24
20,073	male	white	en	30-39	52.7	3,840	2,160	21.52	30
20,074	male	white	en	30-39	99.2	3,840	2,160	24.42	30
20,075	male	white	en	30-39	75.5	3,840	2,160	22.92	30
20,076	male	white	en	30-39	86	3,840	2,160	22.99	30
20,077	male	white	en	30-39	82.3	3,840	2,160	24.29	30
20,078	male	white	en	30-39	148.4	3,840	2,160	46.18	30
20,079	male	white	en	50-59	41.4	3,840	2,160	21.1	24
20,080	male	white	en	50-59	68.7	3,840	2,160	36.54	24
20,081	male	white	en	50-59	58.4	3,840	2,160	30.74	24
20,082	male	white	en	50-59	149.5	3,840	2,160	92.47	24
20,083	male	white	en	50-59	53.9	3,840	2,160	32.37	24
20,084	male	white	en	50-59	97.3	3,840	2,160	59.89	24
20,085	male	white	en	50-59	11.7	3,840	2,160	20.23	24
20,086	male	white	en	50-59	38.3	3,840	2,160	24.48	24
20,087	male	white	en	50-59	65.3	3,840	2,160	40.5	24
20,088	male	white	en	50-59	33.3	3,840	2,160	23.27	24
20,089	male	white	en	50-59	99.1	3,840	2,160	66.94	24
20,090	male	white	en	50-59	56.5	3,840	2,160	34.41	24
20,091	male	white	en	50-59	115.2	3,840	2,160	67.07	24
20,092	male	white	en	50-59	66	3,840	2,160	32.87	24
20,093	female	asian	en	20-29	30	3,840	2,160	26.86	24
20,094	female	asian	en	20-29	44.1	3,840	2,160	40.62	24
20,095	female	asian	en	20-29	25.9	3,840	2,160	21.73	24
20,096	female	asian	en	20-29	34.1	3,840	2,160	24.15	24
20,097	female	asian	en	20-29	33.2	3,840	2,160	28.28	24
20,098	female	asian	en	20-29	53.2	3,840	2,160	48.88	24
22,573	male	asian	zh-cn	20-29	4.3	1,920	1,080	26.29	30
22,574	male	asian	ko	20-29	8.6	1,920	1,080	24.66	30
22,575	male	asian	ko	20-29	7.5	1,920	1,080	27.46	30
20,102	male	asian	en	20-29	81.4	3,840	2,160	56.81	24
20,103	male	asian	en	20-29	55.5	3,840	2,160	20.15	24
20,104	male	asian	en	20-29	89.9	3,840	2,160	39.58	24
20,105	male	asian	en	20-29	207.2	3,840	2,160	63.77	24
20,106	male	asian	en	20-29	47.1	3,840	2,160	31.11	24
20,107	male	asian	en	20-29	90.3	3,840	2,160	61.98	24
20,108	male	asian	en	20-29	271.3	3,840	2,160	167.29	24
20,109	male	white	en	20-29	56.3	3,840	2,160	41.17	24
20,110	male	white	en	20-29	51	3,840	2,160	37.12	24
20,111	male	white	en	20-29	42.3	3,840	2,160	29.7	24
20,112	female	white	en	20-29	12.5	1,920	1,080	22.62	30
20,113	female	white	en	20-29	15.7	1,920	1,080	31.03	30
20,114	female	white	en	20-29	36.4	1,920	1,080	74.17	30
20,115	male	black	en	30-39	37.2	3,840	2,160	20.73	30
20,116	male	black	en	30-39	39	3,840	2,160	22.33	30
20,117	male	white	en	30-39	174.4	3,840	2,160	96.6	25
20,118	male	white	en	30-39	177.8	3,840	2,160	98.88	25
20,120	male	white	en	30-39	42.8	3,840	2,160	26.83	30
20,121	male	white	en	30-39	43.6	3,840	2,160	24.43	30
20,122	male	white	en	30-39	40.7	3,840	2,160	22.33	30
20,123	female	white	en	10-19	11.3	1,920	1,080	22.6	25
20,124	female	white	en	10-19	15.9	1,920	1,080	29.44	25
20,125	female	white	en	10-19	18.4	1,920	1,080	35.68	25
20,126	male	white	en	30-39	35.6	3,840	2,160	25.63	30
20,127	male	white	en	30-39	48.4	3,840	2,160	32.23	30
20,128	male	white	en	30-39	63.5	3,840	2,160	32.9	30
20,129	male	white	en	30-39	70.8	3,840	2,160	53.85	30
20,130	male	white	en	30-39	48.1	3,840	2,160	34.53	30
20,131	male	white	en	30-39	48.4	3,840	2,160	27.93	30
20,132	male	white	en	30-39	43.4	3,840	2,160	30.6	30
20,133	male	indian	en	40-49	30.2	2,560	1,440	25.97	60
20,134	male	black	en	20-29	50.6	3,840	2,160	23.83	30
20,135	male	black	en	20-29	63.8	3,840	2,160	32.23	30
20,136	male	black	en	20-29	79.7	3,840	2,160	53.93	30
20,137	male	black	en	20-29	95.1	3,840	2,160	64.23	30
20,138	male	black	en	20-29	59.3	3,840	2,160	27.83	30
20,139	male	black	en	20-29	51.5	3,840	2,160	25.93	30
20,140	male	white	en	20-29	30.8	3,840	2,160	21.79	30
20,141	male	white	en	30-39	76.1	3,840	2,160	29.9	24
20,142	male	white	en	30-39	122.2	3,840	2,160	24.65	24
22,576	male	white	ko	20-29	31.1	3,840	2,160	24.56	59.9
20,144	female	white	en	40-49	15.8	1,920	1,080	34.53	30
20,145	female	white	en	40-49	9.7	1,920	1,080	20.75	30
20,146	female	white	en	40-49	21.6	1,920	1,080	43.91	30
22,577	male	white	ko	20-29	37.5	3,840	2,160	22.92	59.9
22,578	male	white	ko	20-29	53.8	3,840	2,160	47.15	59.9
20,149	male	white	en	20-29	12.2	1,920	1,080	21.42	30
20,150	male	white	en	20-29	20.4	1,920	1,080	35.54	30
20,151	male	white	en	20-29	88.3	3,840	2,160	38.63	30
20,152	male	white	en	20-29	67.2	3,840	2,160	28.63	30
20,153	male	white	en	20-29	281.2	3,840	2,160	139.61	30
20,154	male	white	en	20-29	126.5	3,840	2,160	57.76	30
20,155	male	white	en	20-29	377.8	3,840	2,160	173.91	30
20,156	male	white	en	20-29	263.8	3,840	2,160	125.43	30
20,157	male	white	en	30-39	32.2	3,840	2,160	22.54	24
20,158	male	white	en	30-39	49.5	3,840	2,160	36.62	24
20,159	male	white	en	30-39	31.1	3,840	2,160	20.29	24
20,160	male	white	en	20-29	37.6	3,840	2,160	21.42	30
20,161	male	asian	en	40-49	92.7	3,840	2,160	26.53	30
20,162	male	asian	en	40-49	172.9	3,840	2,160	88.76	30
20,163	male	asian	en	40-49	96.5	3,840	2,160	49.72	30
20,164	male	asian	en	40-49	82.9	3,840	2,160	43.51	30
20,165	male	asian	en	40-49	43	3,840	2,160	22.49	30
20,166	male	asian	en	40-49	61.5	3,840	2,160	33	30
20,167	male	asian	en	40-49	206.1	3,840	2,160	103	30
20,168	male	asian	en	40-49	72.6	3,840	2,160	36.1	30
20,169	male	white	en	30-39	42.9	3,840	2,160	23.11	24
20,170	male	white	en	50-59	36.5	3,840	2,160	24.89	30
20,171	male	black	en	30-39	214.1	3,840	2,160	86.17	30

Subsets and Splits

No community queries yet

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