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
47,089	male	asian	tl	20-29	33.8	1,920	1,080	76.33	30
47,090	male	asian	tl	20-29	15.8	1,920	1,080	36.37	30
47,091	male	asian	tl	20-29	28.9	1,920	1,080	62.33	30
47,092	male	asian	tl	20-29	22.3	1,920	1,080	42.2	30
47,093	male	asian	tl	20-29	21.4	1,920	1,080	44.23	30
47,094	male	asian	tl	20-29	77.9	1,920	1,080	151.07	30
47,095	male	asian	tl	30-39	21.7	1,906	1,080	57.43	24
47,096	male	asian	tl	30-39	12.1	1,906	1,080	30.91	24
47,097	male	white	tl	20-29	24.4	1,920	1,080	39.73	30
47,098	female	asian	tl	20-29	16.6	1,920	1,080	46.56	25
47,099	male	asian	tl	30-39	19	1,920	1,080	23.5	30
47,100	male	asian	tl	30-39	31.2	1,920	1,080	37.63	30
47,101	female	asian	vi	20-29	15.4	1,920	1,080	33.67	30
47,102	female	asian	vi	20-29	42.4	1,920	1,080	93.13	30
47,103	male	asian	tl	20-29	19.8	1,920	1,080	34.97	30
47,104	male	asian	tl	20-29	15.7	1,920	1,080	30.9	30
47,105	male	asian	tl	20-29	52.3	1,920	1,080	91.1	30
47,106	male	asian	tl	20-29	13.1	1,920	1,080	21.73	30
47,107	male	asian	tl	20-29	23.9	1,920	1,080	43.53	30
47,108	male	asian	en	20-29	91.2	3,840	2,160	34.16	50
47,109	female	asian	tl	30-39	62.6	1,920	1,080	66.17	30
47,110	female	asian	tl	20-29	36.2	1,920	1,080	83.97	30
47,111	female	asian	tl	20-29	19.9	1,920	1,080	32.43	30
47,112	female	asian	tl	20-29	26.6	1,920	1,080	59.97	30
47,113	male	white	en	30-39	24.4	3,840	2,160	23.23	24
47,114	male	white	en	30-39	31.9	3,840	2,160	26.28	24
47,115	male	white	en	30-39	53.7	3,840	2,160	43.5	24
47,116	male	white	en	30-39	61	3,840	2,160	49.55	24
47,117	male	white	en	30-39	23.7	3,840	2,160	20.15	24
47,118	male	white	en	30-39	167.8	3,840	2,160	132.01	24
47,119	male	white	en	30-39	42.7	3,840	2,160	21.52	24
47,120	male	white	en	30-39	61.1	3,840	2,160	32.16	24
47,121	male	white	en	30-39	62.3	3,840	2,160	34.87	24
47,122	male	white	en	30-39	45.3	3,840	2,160	25.32	24
47,123	male	white	en	30-39	35.8	3,840	2,160	24.15	24
47,124	male	white	en	30-39	161.3	3,840	2,160	93.09	24
47,125	male	asian	tl	20-29	11.6	1,920	1,080	31.33	30
47,126	female	asian	tl	20-29	17.6	1,280	720	33.93	30
47,127	male	white	en	40-49	3.6	1,920	1,080	21.27	24
47,128	female	black	en	30-39	22.9	1,920	1,080	40.33	30
47,129	male	white	en	40-49	30.1	1,920	1,080	41.44	30
47,130	male	white	en	40-49	17.3	1,920	1,080	28.63	30
47,131	male	white	en	40-49	39.7	1,920	1,080	53.45	30
47,132	male	white	en	40-49	39.8	1,920	1,080	59.06	30
47,133	female	asian	tl	20-29	10.3	1,920	1,080	20.92	60
47,134	male	asian	en	20-29	42.7	1,920	1,080	39.46	24
47,135	male	asian	en	20-29	35.8	1,920	1,080	32.17	24
47,136	male	asian	tl	20-29	19.5	1,920	1,080	37.04	30
47,137	female	asian	tl	20-29	19.9	1,920	1,080	21.87	60
47,138	male	asian	en	30-39	18.6	1,280	720	53.83	30
47,139	male	asian	tl	40-49	22.5	1,920	1,080	47.55	30
47,140	male	asian	tl	40-49	22.2	1,920	1,080	44.54	30
47,141	male	asian	tl	20-29	23.3	1,920	1,080	32.15	60
47,142	female	asian	tl	20-29	7.9	1,920	1,080	30.43	30
47,143	female	asian	tl	20-29	10.2	1,920	1,080	25.13	30
47,144	female	asian	tl	20-29	11.4	1,920	1,080	27.03	30
47,145	female	asian	tl	20-29	10.7	1,920	1,080	22.12	30
47,146	female	asian	tl	20-29	66.8	1,920	1,080	137.84	30
47,147	female	asian	tl	20-29	37	1,920	1,080	74.37	30
47,148	female	asian	tl	20-29	33.7	1,920	1,080	69.84	30
47,149	male	asian	tl	30-39	76.1	1,920	1,080	110.63	30
47,150	male	white	en	30-39	124.4	3,840	2,160	23.92	30
47,151	male	white	en	30-39	63.3	3,840	2,160	41.04	30
47,152	male	white	tl	30-39	22.2	1,920	1,080	38.25	24
47,153	female	asian	tl	20-29	84	1,920	1,080	170.17	30
47,154	female	asian	tl	20-29	20.3	1,920	1,080	38.2	30
47,155	male	asian	en	20-29	16.6	1,920	1,080	44.34	24
47,156	male	asian	en	20-29	11.6	1,920	1,080	31.61	24
47,157	male	asian	tl	20-29	14.9	1,920	1,080	36.45	60
47,158	male	white	en	30-39	10.4	1,920	1,080	31.43	30
47,159	female	asian	tl	30-39	36.7	3,840	2,160	25.98	24
47,160	female	asian	tl	30-39	34.2	3,840	2,160	25.36	24
47,161	female	asian	tl	30-39	25.5	3,840	2,160	22.48	24
47,162	female	asian	tl	20-29	9.6	1,920	1,080	25.57	30
47,163	female	asian	tl	20-29	28.6	1,920	1,080	71.73	30
47,164	male	asian	tl	30-39	102.7	3,840	2,160	76.91	24
47,165	male	asian	tl	30-39	42.1	3,840	2,160	32.41	24
47,166	male	white	en	30-39	101.8	3,840	2,160	37.42	60
47,167	male	asian	tl	10-19	50.5	1,920	1,080	49.55	30
47,168	male	white	en	30-39	35.1	3,840	2,160	25.33	30
47,169	male	white	en	30-39	29.8	3,840	2,160	20.22	30
47,170	female	asian	tl	30-39	8	1,920	1,080	22.26	30
47,171	female	asian	tl	30-39	7.5	1,920	1,080	20.85	30
47,172	female	asian	tl	20-29	53.5	1,920	1,080	110.03	30
47,173	female	asian	tl	20-29	36.4	1,920	1,080	73.53	30
47,174	female	asian	tl	20-29	18.8	1,920	1,080	37.87	30
47,175	female	asian	tl	20-29	28.5	1,920	1,080	57.73	30
47,176	female	asian	tl	20-29	18.1	1,920	1,080	37.5	30
47,178	female	asian	en	30-39	21.3	1,920	1,080	24.67	59.9
47,179	female	asian	en	30-39	19.4	1,920	1,080	25.93	59.9
47,180	female	asian	en	30-39	15.8	1,920	1,080	20.72	59.9
47,181	female	asian	en	30-39	24.9	1,920	1,080	28.88	59.9
47,182	female	asian	en	30-39	42.1	1,920	1,080	53.05	59.9
47,183	male	asian	en	30-39	42.6	1,920	1,080	34.83	59.9
47,184	male	asian	en	30-39	18.2	1,920	1,080	21.02	59.9
47,185	male	asian	en	30-39	32.8	1,920	1,080	37.09	59.9
47,186	male	asian	en	30-39	96.1	1,920	1,080	119.57	59.9
47,187	male	asian	en	30-39	27.2	1,920	1,080	35.49	59.9
47,188	male	asian	en	30-39	70.9	1,920	1,080	86.59	59.9
47,189	male	asian	en	30-39	54.4	1,920	1,080	75.83	59.9

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