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
39,943	female	white	en	20-29	40	1,920	1,080	80.5	30
39,944	female	white	en	20-29	86.9	1,920	1,080	165.8	30
39,945	female	white	en	20-29	15.8	1,920	1,080	28.47	30
39,946	male	indian	en	30-39	100.8	3,840	2,160	63.93	30
39,947	male	indian	en	30-39	74.8	3,840	2,160	47.03	30
39,948	male	indian	en	30-39	274.1	3,840	2,160	175.67	30
39,949	male	indian	hi	30-39	13.7	1,920	1,080	41.53	30
39,950	male	indian	hi	30-39	9.5	1,920	1,080	29.33	30
39,951	male	indian	hi	30-39	10.6	1,920	1,080	27.33	30
39,952	male	indian	hi	30-39	9.8	1,920	1,080	27.63	30
39,953	male	indian	hi	30-39	9.6	1,920	1,080	25.87	30
39,954	male	indian	hi	30-39	11.3	1,920	1,080	32.03	30
39,955	male	indian	hi	30-39	7	1,920	1,080	21.93	30
39,956	male	indian	hi	30-39	11.7	1,920	1,080	35.73	30
39,957	male	indian	hi	30-39	14.7	1,920	1,080	43.53	30
39,958	male	indian	en	30-39	47.4	3,840	2,160	21.05	30
39,959	male	indian	hi	40-49	8.9	1,920	1,080	20.73	30
39,960	female	white	hi	10-19	10.6	1,920	1,080	23.12	50
39,961	female	white	hi	10-19	20.1	1,920	1,080	46.28	50
39,962	male	indian	en	30-39	14.9	1,920	1,080	31.43	30
39,963	male	indian	en	30-39	12.4	1,920	1,080	22.2	30
39,964	male	indian	hi	30-39	35.9	1,920	1,080	61.93	30
39,965	male	indian	hi	30-39	12.9	1,920	1,080	22.33	30
39,966	male	indian	hi	30-39	12.1	1,920	1,080	20.03	30
39,967	male	indian	hi	20-29	102.1	1,920	1,080	92.1	30
39,968	male	indian	hi	20-29	41.1	1,920	1,080	39.63	30
39,969	female	indian	hi	30-39	36.8	3,840	2,160	26.73	30
39,970	female	indian	hi	30-39	44.1	3,840	2,160	33.63	30
39,971	female	indian	hi	30-39	31.4	3,840	2,160	23.76	30
39,972	female	indian	hi	30-39	41.3	3,840	2,160	30.63	30
39,973	female	indian	hi	30-39	65.8	3,840	2,160	48.95	30
39,974	female	indian	hi	30-39	72.8	3,840	2,160	62.26	30
39,975	female	indian	hi	30-39	39.8	3,840	2,160	31.03	30
39,976	female	asian	en	20-29	25.9	1,920	1,080	31.83	30
39,977	male	indian	hi	30-39	58.3	1,920	1,080	85.33	30
39,978	male	indian	hi	30-39	113.5	1,920	1,080	164.2	30
39,979	male	black	hi	30-39	9.7	1,920	1,080	26.23	30
39,980	female	indian	hi	20-29	38.8	1,920	1,080	37.63	30
39,981	female	indian	hi	20-29	82	1,920	1,080	77.1	30
39,982	male	white	sk	20-29	25.4	1,920	1,080	47.05	24
39,983	female	white	hi	20-29	56.4	1,920	1,080	49.53	30
39,984	female	white	hi	20-29	16.4	1,920	1,080	21.73	30
39,985	female	white	hi	20-29	23.4	1,920	1,080	26.63	30
39,986	female	white	hi	20-29	48.9	1,920	1,080	53.47	30
39,987	female	white	hi	20-29	22.8	1,920	1,080	24.93	30
39,988	female	white	hi	20-29	48.2	1,920	1,080	54.8	30
39,989	male	indian	hi	30-39	19	1,920	1,080	43.31	30
39,990	male	indian	hi	30-39	11.6	1,920	1,080	26.43	30
39,991	male	indian	hi	30-39	8.7	1,920	1,080	20.12	30
39,992	male	indian	hi	30-39	17.2	1,920	1,080	39.34	30
39,993	female	black	hi	30-39	35.6	1,920	1,080	26.53	30
39,994	male	indian	hi	30-39	16.2	1,920	1,080	22.13	30
39,995	male	indian	hi	30-39	110.4	1,920	1,080	163.27	30
39,996	female	white	hi	20-29	35.9	1,920	1,080	53.03	30
39,997	female	white	hi	20-29	46.4	1,920	1,080	65.03	30
39,998	male	white	en	40-49	24.7	3,840	2,160	28.2	25
39,999	male	white	en	40-49	18.2	3,840	2,160	22.2	25
40,000	male	black	pt	20-29	16.6	1,920	1,080	26.64	25
40,001	male	black	pt	20-29	91.6	1,920	1,080	157.52	25
40,002	male	black	pt	20-29	16	1,920	1,080	31.2	25
40,003	male	indian	hi	30-39	20.1	1,920	1,080	32.8	30
40,004	male	indian	hi	30-39	18.9	1,920	1,080	46.1	30
40,005	male	white	pl	30-39	133.9	1,920	1,080	141.57	30
40,006	female	indian	hi	20-29	10	1,280	720	22.5	12
40,007	female	indian	hi	20-29	11.7	1,280	720	25.17	12
40,008	female	indian	hi	20-29	12.6	1,280	720	37.42	12
40,009	female	asian	id	20-29	149.9	1,920	1,080	162.4	25
40,010	female	asian	id	20-29	44.7	1,920	1,080	48.52	25
40,011	female	asian	id	20-29	120.3	1,920	1,080	130.32	25
40,012	female	asian	id	20-29	25.8	1,920	1,080	27.36	25
40,013	male	indian	hi	30-39	42.7	3,840	2,160	28.33	30
40,014	male	indian	hi	20-29	74.9	3,840	2,160	42.25	24
40,015	male	white	hi	30-39	13.5	1,920	1,080	22.25	60
40,016	male	white	hi	30-39	18.4	1,920	1,080	29.92	60
40,017	male	white	en	30-39	16.3	1,920	1,080	62.48	25
40,018	male	black	hi	20-29	92	3,840	2,160	38.84	30
40,019	male	white	hi	30-39	64.3	1,920	1,080	47.27	30
40,020	male	indian	da	30-39	47.5	3,840	2,160	30.12	25
40,021	male	indian	da	30-39	36.9	3,840	2,160	22.2	25
40,022	male	indian	da	30-39	38.5	3,840	2,160	23.28	25
40,023	male	indian	da	30-39	94.5	3,840	2,160	55.2	25
40,024	male	indian	da	30-39	59.9	3,840	2,160	35.28	25
40,025	male	indian	en	20-29	31.4	1,920	1,080	67.03	30
40,026	male	indian	en	20-29	11.4	1,920	1,080	23.63	30
40,027	male	indian	en	20-29	25.8	1,920	1,080	50.37	30
40,028	male	indian	en	20-29	15.1	1,920	1,080	29.53	30
40,029	male	white	hi	30-39	13.3	1,920	1,080	33.91	24
40,030	male	indian	en	20-29	27	1,920	1,080	28.27	60
40,031	male	indian	en	20-29	36.8	1,920	1,080	40.4	60
40,032	male	indian	en	30-39	29.4	3,840	2,160	22.64	50
40,033	male	indian	en	30-39	44.6	3,840	2,160	31.96	50
40,034	male	white	hi	20-29	22.5	1,920	1,080	21.24	50
40,035	male	white	hi	20-29	23.3	1,920	1,080	20.64	50
40,036	male	white	hi	20-29	50.2	1,920	1,080	49.58	50
40,037	male	white	hi	20-29	25.6	1,920	1,080	25.08	50
40,038	male	indian	hi	30-39	43.5	3,840	2,160	37.8	25
40,039	male	indian	hi	30-39	30	3,840	2,160	26.52	25
40,040	male	indian	hi	30-39	26.5	3,840	2,160	22.32	25
40,041	male	indian	hi	30-39	28.3	3,840	2,160	25.56	25
40,042	male	indian	hi	20-29	21.3	1,920	1,080	25.18	60

Subsets and Splits

No community queries yet

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