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
8,093	male	white	en	40-49	56	3,840	2,160	28.63	30
8,094	male	white	en	40-49	36	3,840	2,160	20.53	30
8,095	male	white	en	20-29	53.7	3,840	2,160	27.69	30
8,096	male	white	en	30-39	43.8	3,840	2,160	23.82	30
8,097	male	white	en	30-39	122.4	3,840	2,160	38.71	30
8,098	male	white	en	30-39	79.2	3,840	2,160	24.52	30
8,099	male	white	en	30-39	68.7	3,840	2,160	21.19	30
8,100	male	black	en	20-29	56.2	3,840	2,160	49.2	25
8,101	male	black	en	20-29	72.3	3,840	2,160	58.96	25
8,102	male	black	en	20-29	43.6	3,840	2,160	34.92	25
8,103	male	black	en	20-29	125.5	3,840	2,160	104.28	25
8,104	male	black	en	20-29	27	3,840	2,160	21.84	25
8,105	male	white	en	30-39	30.9	3,840	2,160	20.16	25
8,106	male	white	en	30-39	33.3	3,840	2,160	22.68	25
8,107	male	white	en	30-39	60.5	3,840	2,160	42.84	25
8,108	male	white	en	30-39	39.7	3,840	2,160	24	25
8,109	male	white	en	30-39	54.8	3,840	2,160	40.6	25
8,110	male	white	en	30-39	90.2	3,840	2,160	61.56	25
8,111	male	white	en	30-39	87.7	3,840	2,160	57.12	25
8,112	male	white	en	50-59	204.8	3,840	2,160	177.64	30
8,113	male	white	en	50-59	124.5	3,840	2,160	113.45	30
8,114	female	asian	en	20-29	50.1	3,840	2,160	21.79	24
8,115	male	white	en	50-59	60.7	3,840	2,160	25.96	25
8,116	male	white	en	50-59	193.2	3,840	2,160	78.48	25
8,117	male	white	en	50-59	67.8	3,840	2,160	27.48	25
8,118	male	asian	en	10-19	49.1	3,840	2,160	39.5	24
8,119	female	white	en	20-29	56.2	3,840	2,160	27.26	30
8,120	female	white	en	20-29	86.8	3,840	2,160	38.64	30
8,121	female	white	en	20-29	49.7	3,840	2,160	20.45	30
8,122	female	white	en	20-29	151.4	3,840	2,160	63.76	30
8,123	male	white	en	50-59	43.5	3,840	2,160	22.27	59.9
8,124	female	white	en	20-29	36.9	3,840	2,160	26.67	24
8,125	female	white	en	20-29	200.7	3,840	2,160	178.42	24
8,126	female	white	en	20-29	28.9	3,840	2,160	22.04	24
8,127	male	white	en	20-29	96.8	3,840	2,160	51.79	24
8,128	male	white	en	20-29	74.9	3,840	2,160	39.67	24
8,129	male	white	en	20-29	46.5	3,840	2,160	24.54	24
8,130	male	white	en	20-29	61	3,840	2,160	31.54	24
8,131	female	black	en	20-29	20.7	1,920	1,080	21.96	59.9
8,132	female	asian	en	20-29	9.7	1,920	1,080	20.65	30
8,133	female	asian	en	20-29	9.1	1,920	1,080	24.76	30
8,134	female	asian	en	20-29	22.6	1,920	1,080	49.45	30
8,135	female	asian	en	20-29	52.8	1,920	1,080	123.49	30
8,136	female	asian	en	20-29	9	1,920	1,080	22.89	30
8,137	male	white	en	30-39	36	3,840	2,160	24.9	24
8,138	male	white	en	30-39	36.9	3,840	2,160	21.48	24
8,139	male	white	en	30-39	69.2	3,840	2,160	46.67	24
8,140	male	white	en	30-39	52.8	3,840	2,160	27.43	30
8,141	male	white	en	30-39	16.4	1,920	1,080	20.6	24
8,142	male	white	en	40-49	56.6	3,840	2,160	20.53	30
8,143	male	black	en	20-29	25.5	1,920	1,080	56.52	30
8,144	male	black	en	20-29	29.7	1,920	1,080	68.17	30
8,145	male	black	en	20-29	34	1,920	1,080	76.28	30
8,146	male	black	en	20-29	20.4	1,920	1,080	45.85	30
8,147	male	white	en	20-29	6.1	1,920	1,080	20.35	24
8,148	male	white	en	20-29	12.5	1,920	1,080	38.5	24
8,149	male	white	en	20-29	18.6	1,920	1,080	29.43	30
8,150	female	white	en	40-49	344.8	3,840	2,160	90.32	30
8,151	male	white	en	60-69	26.1	1,920	1,080	60.33	30
8,152	male	white	en	60-69	16.1	1,920	1,080	35.97	30
8,153	male	white	en	30-39	21.3	1,920	1,080	36.41	24
8,154	male	white	en	30-39	11.4	1,920	1,080	21.23	24
8,155	male	white	en	30-39	13.9	1,920	1,080	24.36	24
8,156	male	white	en	30-39	32.6	1,920	1,080	59.68	24
8,157	male	white	en	30-39	24.5	1,920	1,080	43.46	24
8,158	male	white	en	30-39	38.2	1,920	1,080	76.7	24
8,159	male	white	en	30-39	127.8	3,840	2,160	83.23	59.9
8,160	male	white	en	30-39	48.6	1,920	1,080	27.68	59.9
8,161	female	white	en	20-29	49.9	1,920	1,080	113.81	30
8,162	male	white	en	30-39	10.1	1,920	1,080	31.06	30
8,163	male	white	en	30-39	61	3,840	2,160	30.7	30
8,164	male	white	en	30-39	49.1	3,840	2,160	20.72	30
8,165	male	white	en	60-69	7.3	1,920	1,080	22.09	30
8,166	male	white	en	60-69	11.9	1,920	1,080	32.23	30
8,167	female	white	en	40-49	10.3	1,920	1,080	21.48	25
8,168	female	white	en	40-49	17.6	1,920	1,080	37.04	25
8,169	female	white	en	40-49	13.7	1,920	1,080	27.12	25
8,170	female	white	en	40-49	22	1,920	1,080	43.2	25
8,171	male	white	en	20-29	26.2	1,920	1,080	43.09	59.9
8,172	male	white	en	20-29	16.1	1,920	1,080	33.27	59.9
8,173	male	white	en	20-29	23.5	1,920	1,080	44.09	59.9
8,174	female	white	en	30-39	41.1	3,840	2,160	24.12	59.9
8,175	female	white	en	30-39	37.7	3,840	2,160	23.36	59.9
8,176	female	white	en	30-39	109.9	3,840	2,160	30.98	59.9
8,177	male	black	en	30-39	19.1	1,920	1,080	45.42	24
8,178	male	black	en	30-39	13.6	1,920	1,080	33.53	24
8,179	male	black	en	30-39	15.2	1,920	1,080	30.91	24
8,180	male	black	en	30-39	9.6	1,920	1,080	20.27	24
8,181	female	asian	en	30-39	141.5	3,840	2,160	71.08	60
8,182	female	asian	en	30-39	55.9	3,840	2,160	27.48	60
8,183	female	asian	en	30-39	53.7	3,840	2,160	24.67	60
8,184	female	asian	en	30-39	60.4	3,840	2,160	31.2	60
8,185	male	asian	en	20-29	60.7	3,840	2,160	53.22	24
8,186	male	asian	en	30-39	4.7	1,920	1,080	30.11	24
8,187	male	white	en	40-49	580.4	3,840	2,160	162.63	30
8,188	male	white	en	30-39	65.8	3,840	2,160	48.08	24
8,189	male	white	en	30-39	43.2	3,840	2,160	25.12	24
8,190	male	white	en	50-59	48.5	3,840	2,160	32.03	24
8,191	male	white	en	50-59	127.1	3,840	2,160	84.75	24
8,192	male	white	en	50-59	76.3	3,840	2,160	50.05	24

Subsets and Splits

No community queries yet

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