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
17,035	female	asian	en	20-29	38.8	3,840	2,160	30.15	60
17,036	female	asian	en	20-29	31.3	3,840	2,160	24.2	60
17,037	male	black	en	10-19	61.9	3,840	2,160	23.77	24
17,038	male	black	en	10-19	226.1	3,840	2,160	85.84	24
17,039	male	black	en	10-19	66.6	3,840	2,160	25.65	24
17,040	male	white	en	30-39	73.9	3,840	2,160	43.31	30
17,041	male	white	en	40-49	67.7	3,840	2,160	38.34	30
17,042	male	white	en	40-49	172.4	3,840	2,160	95.6	30
17,043	male	white	en	40-49	199.9	3,840	2,160	111.18	30
17,044	female	black	en	20-29	12.2	1,920	1,080	26.7	30
17,045	female	black	en	20-29	10.8	1,920	1,080	22.8	30
17,046	female	black	en	20-29	20.2	1,920	1,080	41.3	30
17,047	female	black	en	20-29	11.1	1,920	1,080	24	30
17,048	male	white	en	30-39	62.7	3,840	2,160	35.84	30
17,049	male	white	en	30-39	72.3	3,840	2,160	41.47	30
17,050	male	white	en	30-39	69.1	3,840	2,160	54.75	30
17,051	male	white	en	30-39	16.9	1,920	1,080	40.93	30
17,052	male	white	en	30-39	13	1,920	1,080	39.53	30
17,053	male	white	en	30-39	18.7	1,920	1,080	56.5	30
17,054	male	white	en	40-49	151.2	3,840	2,160	27.79	30
17,055	male	white	en	30-39	19.6	1,920	1,080	54.26	24
17,056	male	white	en	30-39	10.9	1,920	1,080	31.11	24
17,057	male	white	en	30-39	8.4	1,920	1,080	25.36	24
17,058	male	white	en	30-39	10.5	1,920	1,080	27.99	24
17,059	male	white	en	30-39	14.5	1,920	1,080	43.08	24
17,060	male	white	en	30-39	8.2	1,920	1,080	22.36	24
17,061	male	white	en	30-39	31.3	1,920	1,080	87.3	24
17,062	male	white	en	30-39	7.8	1,920	1,080	21.35	24
17,063	male	white	en	30-39	6.7	1,920	1,080	24.61	24
17,064	male	white	en	30-39	12.2	1,920	1,080	35.24	24
17,065	male	white	en	30-39	20.7	1,920	1,080	62.77	24
17,066	male	white	en	30-39	17.1	1,920	1,080	50.38	24
17,067	male	white	en	30-39	6.9	1,920	1,080	21.6	24
17,068	male	white	en	30-39	8.3	1,920	1,080	22.48	24
17,069	female	white	en	20-29	114.1	3,840	2,160	47.13	30
17,070	male	white	en	20-29	12.5	1,920	1,080	25.57	24
17,071	male	white	en	20-29	25.3	1,920	1,080	49.76	24
17,072	male	white	en	30-39	32.2	3,840	2,160	23.92	24
17,073	male	white	en	30-39	33.9	3,840	2,160	23.67	24
17,074	male	white	en	30-39	54.3	3,840	2,160	33.79	24
17,075	male	white	en	30-39	115.2	3,840	2,160	77.67	24
17,076	male	white	en	40-49	16.3	1,920	1,080	33.93	30
17,077	male	white	en	40-49	41.8	1,920	1,080	84.73	30
17,078	male	white	en	40-49	23.3	1,920	1,080	49.43	30
17,079	male	white	en	40-49	28.2	1,920	1,080	57.63	30
17,080	male	white	en	40-49	49.8	1,920	1,080	99.93	30
17,081	male	white	en	40-49	92.3	1,920	1,080	176.37	30
17,082	female	white	en	20-29	26.8	1,920	1,080	59.23	30
17,083	female	white	en	20-29	16.1	1,920	1,080	42.53	30
17,084	female	white	en	20-29	42.7	1,920	1,080	85.47	30
17,085	male	white	en	30-39	8.9	1,920	1,080	34.33	24
17,086	male	white	en	30-39	139	3,840	2,160	49.05	30
17,087	male	white	en	30-39	86.8	3,840	2,160	62.26	30
17,088	male	white	en	30-39	34.4	3,840	2,160	24.39	30
17,089	male	white	en	30-39	35.2	3,840	2,160	25.33	30
17,090	male	white	en	30-39	56.1	3,840	2,160	54.85	30
17,091	male	white	en	30-39	33.2	3,840	2,160	22.29	30
17,092	female	asian	en	10-19	124.8	3,840	2,160	46.93	30
17,093	female	asian	en	10-19	59.3	3,840	2,160	22.43	30
17,094	female	asian	en	10-19	163.3	3,840	2,160	60.73	30
17,095	female	asian	en	10-19	125.5	3,840	2,160	47.63	30
17,096	female	asian	en	10-19	114.8	3,840	2,160	42.93	30
17,097	female	asian	en	10-19	75.8	3,840	2,160	28.87	30
17,098	female	asian	en	10-19	52.9	3,840	2,160	20.17	30
17,099	female	asian	en	10-19	160.3	3,840	2,160	62.03	30
17,100	female	asian	en	10-19	109	3,840	2,160	40.43	30
17,101	female	asian	en	10-19	78.3	3,840	2,160	30.03	30
17,102	female	asian	en	10-19	163.2	3,840	2,160	61.53	30
17,103	male	white	en	20-29	36.3	3,840	2,160	23.92	30
17,104	female	white	en	30-39	32.3	3,840	2,160	23.19	30
17,105	male	white	en	20-29	154.9	3,840	2,160	103.8	30
17,106	male	white	en	40-49	18.7	1,920	1,080	26.53	57
17,107	female	white	en	60-69	106.5	3,840	2,160	45.28	30
17,108	female	white	en	60-69	120.1	3,840	2,160	51.08	30
17,109	male	white	en	30-39	179.3	3,840	2,160	53.28	60
17,110	male	white	en	30-39	6.8	1,920	1,080	20.89	30
17,111	male	white	en	30-39	6.8	1,920	1,080	22.29	30
17,112	male	white	en	30-39	13.8	1,920	1,080	24.79	30
17,113	male	white	en	50-59	39.6	3,840	2,160	26.43	30
17,114	male	white	en	50-59	30.5	3,840	2,160	21.23	30
17,115	male	white	en	50-59	34.9	3,840	2,160	24.63	30
17,116	male	white	en	50-59	78	3,840	2,160	54.47	30
17,117	male	white	en	50-59	26	3,840	2,160	20.23	30
17,118	male	white	en	50-59	33.7	3,840	2,160	20.13	30
17,119	male	white	en	50-59	67.2	3,840	2,160	46.67	30
17,120	male	white	en	50-59	59.1	3,840	2,160	37.03	30
17,121	male	white	en	50-59	29.4	3,840	2,160	22.03	30
17,122	male	white	en	50-59	107.9	3,840	2,160	81.43	30
17,123	male	white	en	50-59	35.9	3,840	2,160	22.07	30
17,124	female	white	en	20-29	51.9	3,840	2,160	27.65	24
17,125	male	white	en	30-39	160.8	3,840	2,160	96.1	24
17,126	male	white	en	30-39	69.2	3,840	2,160	40.12	24
17,127	male	white	en	30-39	268.6	3,840	2,160	155.61	24
17,128	male	white	en	30-39	60.4	3,840	2,160	34.66	24
17,129	male	white	en	30-39	144.2	3,840	2,160	84.04	24
17,130	male	black	en	30-39	121.8	3,840	2,160	47.52	60
17,131	male	white	en	30-39	61.3	3,840	2,160	26.33	30
17,132	male	white	en	30-39	136	3,840	2,160	52.75	30
17,133	male	white	en	30-39	140.2	3,840	2,160	57.66	30
17,134	male	white	en	30-39	79.7	3,840	2,160	27.59	30

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