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
16,135	female	white	en	30-39	104.8	3,840	2,160	31.23	59.9
16,136	male	white	en	30-39	9.8	1,920	1,080	21.55	30
16,137	male	white	en	30-39	10.2	1,920	1,080	21.22	30
16,138	male	white	en	30-39	21.8	1,920	1,080	40.87	30
16,139	male	white	en	30-39	11.6	1,920	1,080	23.72	30
16,140	male	white	en	30-39	13	1,920	1,080	23.12	30
16,141	male	white	en	30-39	12.9	1,920	1,080	23.69	30
16,142	male	white	en	30-39	31.1	1,920	1,080	62.56	30
16,143	female	asian	en	20-29	8.5	1,920	1,080	20.95	30
16,144	female	asian	en	20-29	8.7	1,920	1,080	21.59	30
16,145	female	asian	en	20-29	13.4	1,920	1,080	33.03	30
16,146	female	asian	en	20-29	11.2	1,920	1,080	27.46	30
16,147	male	white	en	30-39	44.8	1,920	1,080	122.72	30
16,148	male	asian	en	20-29	9.4	1,920	1,080	27.78	24
16,149	male	asian	en	20-29	18.1	1,920	1,080	53.3	24
16,150	male	white	en	30-39	66.5	3,840	2,160	27.83	30
16,151	female	black	en	30-39	10.6	1,920	1,080	21	30
16,152	male	white	en	30-39	13.4	1,920	1,080	24.97	60
16,153	male	white	en	30-39	22.9	1,920	1,080	42.7	60
16,154	female	white	en	20-29	56.2	3,840	2,160	27.99	24
16,155	female	white	en	20-29	68.4	3,840	2,160	34.16	24
16,156	female	white	en	20-29	50.5	3,840	2,160	24.57	24
16,157	female	white	en	20-29	44.1	3,840	2,160	22.4	24
16,158	female	white	en	20-29	38.7	3,840	2,160	20.52	24
16,159	female	white	en	20-29	57.9	3,840	2,160	33.41	24
16,160	male	white	en	20-29	11.4	1,920	1,080	24.29	24
17,464	male	white	en	30-39	38.3	3,840	2,160	22.44	25
16,162	male	white	en	30-39	22	1,920	1,080	37.97	60
16,163	male	white	en	30-39	35.5	1,920	1,080	60.45	60
16,164	male	white	en	30-39	31.9	1,920	1,080	53.77	60
16,165	male	white	en	30-39	15.1	1,920	1,080	25.52	60
16,166	male	white	en	30-39	53.5	3,840	2,160	22.7	30
16,167	male	white	en	30-39	44.5	3,840	2,160	20.53	30
16,168	male	white	en	30-39	79.9	3,840	2,160	37.8	30
16,169	male	white	en	30-39	43.6	3,840	2,160	20.93	30
16,170	male	white	en	30-39	35.8	3,840	2,160	20.53	30
16,171	male	white	en	30-39	40.2	3,840	2,160	22.93	30
16,172	male	white	en	30-39	50.5	3,840	2,160	29.53	30
16,173	male	white	en	30-39	57.1	3,840	2,160	23.44	24
16,174	male	white	en	30-39	77.6	3,840	2,160	39.04	24
16,175	male	white	en	20-29	17.1	2,560	1,440	32.83	30
16,176	male	white	en	20-29	15.2	2,560	1,440	30.63	30
16,177	female	white	en	20-29	111.5	3,840	2,160	42.17	24
16,178	female	white	en	20-29	62.2	3,840	2,160	24.9	24
16,179	female	white	en	20-29	56.8	3,840	2,160	24.19	24
16,180	female	white	en	20-29	54.1	3,840	2,160	21.52	24
16,181	female	white	en	20-29	64.8	3,840	2,160	24.19	24
16,182	male	black	en	20-29	73.1	1,920	1,080	148.11	30
16,183	male	black	en	20-29	23.7	1,920	1,080	50.52	30
16,184	female	white	en	50-59	16.7	1,920	1,080	28.73	30
16,185	female	white	en	50-59	39	1,920	1,080	64.53	30
16,186	male	white	en	30-39	55.5	3,840	2,160	38.56	25
16,187	male	white	en	30-39	26.8	3,840	2,160	21.36	25
16,188	male	white	en	20-29	12.2	1,920	1,080	28.9	24
16,189	male	white	en	20-29	11	1,920	1,080	25.11	24
16,190	male	asian	en	20-29	12.2	1,920	1,080	32.83	30
16,191	male	asian	en	20-29	21.8	1,920	1,080	56.53	30
16,192	male	white	en	30-39	54.3	3,840	2,160	27.15	24
16,193	male	white	en	40-49	34.6	3,840	2,160	22.79	24
16,194	male	white	en	40-49	38	3,840	2,160	26.79	24
16,195	male	white	en	40-49	34.2	3,840	2,160	23.04	24
16,196	male	white	en	40-49	53.1	3,840	2,160	32.79	24
16,197	male	white	en	40-49	27.5	3,840	2,160	22.79	24
16,198	male	white	en	30-39	174.1	3,840	2,160	37.37	24
16,199	male	white	en	30-39	170.9	3,840	2,160	41.25	24
16,200	male	white	en	30-39	263.6	3,840	2,160	58.14	24
16,201	male	white	en	30-39	233.7	3,840	2,160	55.26	24
16,202	male	black	en	30-39	26.7	3,840	2,160	23.61	24
16,203	male	white	en	20-29	62.3	3,840	2,160	35.16	24
16,204	male	white	en	20-29	57.4	3,840	2,160	28.65	24
16,205	male	white	en	20-29	97.8	3,840	2,160	36.54	24
16,206	male	white	en	20-29	49	3,840	2,160	21.65	24
16,207	male	white	en	20-29	6.9	1,920	1,080	22.43	30
16,208	male	white	en	20-29	6.9	1,920	1,080	22.8	30
16,209	male	white	en	20-29	6	1,920	1,080	20.7	30
16,210	male	white	en	20-29	10.6	1,920	1,080	33.13	30
16,211	male	white	en	40-49	47.4	3,840	2,160	20.39	30
16,212	male	white	en	40-49	81.7	3,840	2,160	33.1	30
16,213	male	white	en	40-49	173.3	3,840	2,160	70.84	30
16,214	male	white	en	40-49	86.3	3,840	2,160	35.7	30
16,215	male	white	en	50-59	54.5	3,840	2,160	50.83	30
16,216	male	white	en	50-59	29.3	3,840	2,160	29.53	30
16,217	male	white	en	50-59	31.5	3,840	2,160	33.03	30
16,218	male	white	en	50-59	30.6	3,840	2,160	30.17	30
16,219	male	white	en	50-59	24.8	3,840	2,160	24.03	30
16,220	male	white	en	50-59	46.9	3,840	2,160	51.53	30
16,221	male	black	en	30-39	10.2	1,920	1,080	30.03	30
16,222	male	white	en	40-49	154.2	3,840	2,160	29.75	24
16,223	female	white	en	20-29	31.1	1,920	1,080	29.73	30
16,224	female	white	en	20-29	87.2	1,920	1,080	82.15	30
16,225	female	white	en	20-29	26.4	1,920	1,080	23.26	30
16,226	female	white	en	20-29	33.7	1,920	1,080	31.8	30
16,227	female	white	en	20-29	116	1,920	1,080	108.37	30
16,228	male	asian	en	40-49	41	3,840	2,160	39.5	24
16,229	male	asian	en	40-49	24.7	3,840	2,160	22.15	24
16,230	male	asian	en	40-49	48.7	3,840	2,160	43	24
16,231	female	white	en	10-19	23.5	1,920	1,080	27.45	29.8
16,232	male	white	en	20-29	9.8	1,280	720	37.74	30
16,233	male	white	en	20-29	13.7	1,280	720	53.85	30
17,465	male	white	it	30-39	33.2	3,840	2,160	48.98	50

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