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
10,108	female	asian	en	20-29	26.9	3,840	2,160	25.49	30
10,109	male	asian	en	30-39	10.1	1,920	1,080	20.59	30
10,110	male	asian	en	30-39	17.1	1,920	1,080	39.34	30
10,111	male	asian	en	30-39	16.9	1,920	1,080	43.31	30
10,112	male	white	en	30-39	32.6	3,840	2,160	21.08	24
10,113	male	white	en	30-39	32.9	3,840	2,160	24.08	24
10,114	male	white	en	30-39	46.7	3,840	2,160	39.75	24
10,115	male	white	en	30-39	60.2	3,840	2,160	50.83	24
10,116	male	white	en	30-39	125.1	3,840	2,160	43.04	24
10,117	male	white	en	30-39	117	3,840	2,160	37.7	24
10,118	male	white	en	30-39	112.3	3,840	2,160	35.7	24
10,119	male	white	en	30-39	62.4	3,840	2,160	40.92	24
10,120	male	white	en	30-39	47	3,840	2,160	31.87	24
10,121	male	black	en	40-49	18.6	3,840	2,160	20.81	24
10,122	male	white	en	30-39	64.4	3,840	2,160	23.99	30
10,123	male	indian	en	30-39	48.8	3,840	2,160	29.7	30
10,124	male	white	en	30-39	40.1	1,920	1,080	92.06	30
10,125	male	white	en	20-29	8.4	1,920	1,080	29.6	30
13,158	male	white	en	30-39	41.1	3,840	2,160	33.53	30
10,128	male	white	en	30-39	34.2	3,840	2,160	25.25	24
10,129	male	white	en	30-39	46.4	3,840	2,160	35	24
10,130	male	white	en	30-39	33.9	3,840	2,160	25	24
10,131	male	white	en	30-39	46.9	3,840	2,160	34	24
10,132	male	white	en	30-39	58.6	3,840	2,160	45.05	24
10,133	male	white	en	30-39	35.6	3,840	2,160	21.89	30
10,134	male	white	en	30-39	59.2	3,840	2,160	33.8	30
10,135	male	white	en	30-39	34.8	3,840	2,160	24.79	30
10,136	male	white	en	30-39	60.5	3,840	2,160	39.57	30
10,137	male	white	en	70+	52.1	3,840	2,160	31.93	30
10,138	male	white	en	70+	37.8	3,840	2,160	22.69	30
10,139	male	white	en	70+	32	3,840	2,160	20.19	30
10,140	male	white	en	50-59	18.4	3,840	2,160	21.54	24
10,141	male	white	en	50-59	22.2	3,840	2,160	21.92	24
10,142	male	white	en	20-29	41.6	3,840	2,160	21.4	25
10,143	male	white	en	20-29	42.6	3,840	2,160	25.56	25
10,144	male	white	en	30-39	39.2	3,840	2,160	27.2	25
10,145	female	white	en	20-29	18.1	1,920	1,080	40.7	30
10,146	female	white	en	20-29	27.8	1,920	1,080	53.63	30
10,147	female	white	en	20-29	24.5	1,920	1,080	44.77	30
10,148	male	white	en	40-49	260.7	3,840	2,160	155.32	59.9
10,149	male	white	en	20-29	26	3,840	2,160	21.09	30
10,150	male	white	en	20-29	35	3,840	2,160	27.39	30
10,151	male	white	en	20-29	293.8	3,840	2,160	102.9	30
10,152	male	white	en	20-29	38.3	3,840	2,160	25.29	30
10,153	male	white	en	20-29	288.6	3,840	2,160	132.1	30
10,154	male	white	en	20-29	39	3,840	2,160	23.22	30
10,155	male	white	en	20-29	56.8	3,840	2,160	33.6	30
10,156	male	white	en	20-29	24.7	1,280	720	70.03	60
10,157	male	white	en	20-29	8.7	1,280	720	27.45	60
10,158	male	white	en	30-39	7.6	1,920	1,080	22.02	24
10,159	male	white	en	30-39	9	1,920	1,080	28.4	24
10,160	male	white	en	30-39	9.3	1,920	1,080	37.04	24
10,161	male	white	en	30-39	8.3	1,920	1,080	25.15	24
10,162	male	white	en	30-39	33.1	1,920	1,080	99.85	24
10,163	male	white	en	30-39	9.4	1,920	1,080	28.9	24
10,164	male	white	en	40-49	27.9	3,840	2,160	20.17	24
10,165	male	white	en	40-49	32.3	3,840	2,160	23.54	24
10,166	male	white	en	40-49	53.9	3,840	2,160	40.29	24
10,167	male	white	en	40-49	35.2	3,840	2,160	25.17	24
10,168	male	white	en	40-49	39.7	3,840	2,160	29.54	24
10,169	male	white	en	40-49	334	3,840	2,160	158.24	24
10,170	male	white	en	40-49	47	3,840	2,160	22.77	24
10,171	male	white	en	40-49	97.3	3,840	2,160	50.05	24
10,172	female	asian	en	30-39	49.6	3,840	2,160	41.01	30
10,173	female	asian	en	30-39	126.7	3,840	2,160	96.3	30
10,174	female	asian	en	30-39	39.8	3,840	2,160	31.23	30
10,175	female	asian	en	30-39	87.5	3,840	2,160	81.08	30
10,176	female	asian	en	30-39	83.9	3,840	2,160	69.17	30
10,177	female	asian	en	30-39	27.8	3,840	2,160	21.69	30
10,178	male	asian	en	20-29	51	3,840	2,160	36.5	30
10,179	female	white	en	20-29	17.4	1,920	1,080	56.96	30
10,180	female	white	en	20-29	57.6	1,920	1,080	178.48	30
10,181	male	white	en	30-39	67.7	3,840	2,160	24.73	30
10,182	male	white	en	30-39	56.9	3,840	2,160	20.43	30
10,183	male	white	en	30-39	61.8	3,840	2,160	23.03	30
10,184	male	white	en	30-39	95.6	3,840	2,160	35.1	30
10,185	female	white	en	20-29	98.7	3,840	2,160	84.71	24
10,186	female	white	en	20-29	31.5	3,840	2,160	25.9	24
10,187	female	white	en	20-29	145.2	3,840	2,160	136.14	24
10,188	male	black	en	30-39	5.8	1,920	1,080	21.69	30
10,189	male	white	en	30-39	95	3,840	2,160	33.23	30
10,190	male	white	en	30-39	76.2	3,840	2,160	29.8	30
10,191	female	white	en	20-29	48.6	1,920	1,080	90.47	24
10,192	female	white	en	20-29	39.4	1,920	1,080	76.95	24
10,193	female	white	en	20-29	11.7	1,920	1,080	23.4	24
10,194	male	asian	en	30-39	15.1	1,920	1,080	22.12	30
10,195	male	white	en	20-29	32.5	3,840	2,160	27	25
10,196	male	white	en	20-29	24.6	3,840	2,160	21.12	25
10,197	male	asian	en	40-49	257.9	3,840	2,160	82.68	30
10,198	male	asian	en	40-49	406.3	3,840	2,160	124.39	30
10,199	male	white	en	30-39	36.8	3,840	2,160	20.88	25
10,200	male	white	en	30-39	35.2	3,840	2,160	20.4	25
10,201	male	white	en	30-39	25.1	3,840	2,160	20.28	25
10,202	male	white	en	30-39	30.4	3,840	2,160	23.88	25
10,203	male	white	en	30-39	39.8	3,840	2,160	32.28	25
10,204	male	white	en	30-39	27.5	3,840	2,160	21.12	25
10,205	female	white	en	60-69	41.9	3,840	2,160	24.96	30
10,206	female	white	en	60-69	68.5	3,840	2,160	39.37	30
10,207	female	white	en	60-69	45.1	3,840	2,160	26.29	30
10,208	female	white	en	60-69	33.1	3,840	2,160	20.42	30

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