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
42,144	male	white	en	30-39	34.1	1,920	1,080	28.34	59.9
42,145	male	asian	id	30-39	23.7	1,920	1,080	24.93	30
42,146	male	asian	id	30-39	35	1,920	1,080	30.73	30
42,147	male	asian	id	20-29	8.9	1,920	1,080	20.73	30
42,148	female	white	en	20-29	10.8	1,920	1,080	25.56	25
42,149	female	white	en	20-29	68	1,920	1,080	144.84	25
42,150	female	white	en	20-29	17.8	1,920	1,080	42.8	25
42,151	male	asian	id	30-39	69.4	3,840	2,160	24.59	30
42,152	male	asian	id	30-39	71.2	3,840	2,160	24.82	30
42,153	male	asian	id	30-39	68.2	3,840	2,160	20.12	30
42,154	male	asian	id	30-39	71.8	3,840	2,160	24.19	30
42,155	male	asian	id	30-39	133.9	3,840	2,160	43.84	30
42,156	male	asian	id	30-39	97.7	3,840	2,160	33.73	30
42,157	male	asian	id	30-39	17.7	1,920	1,080	26.53	24
42,158	male	asian	id	30-39	16	1,920	1,080	25.65	24
42,159	male	white	en	30-39	9	1,920	1,080	20.9	24
42,160	male	white	en	30-39	17.1	1,920	1,080	21.4	24
42,161	male	asian	id	30-39	7.2	1,920	1,080	20.19	30
42,162	male	asian	id	30-39	15.8	1,920	1,080	36.9	30
42,163	male	asian	id	30-39	19.1	1,920	1,080	40.24	30
42,164	male	asian	id	30-39	34.6	1,920	1,080	83.35	30
42,165	male	asian	id	30-39	18.3	1,920	1,080	31.56	30
42,166	female	asian	en	20-29	5.7	1,280	720	27.57	30
42,167	female	asian	en	20-29	5.3	1,280	720	24.9	30
42,168	male	asian	id	20-29	10.2	1,920	1,080	26.36	59.9
42,169	female	asian	tl	20-29	36.6	1,920	1,080	60.73	30
42,170	female	asian	tl	20-29	69.5	1,920	1,080	115.7	30
42,171	male	indian	en	30-39	6.2	1,920	1,080	20.32	30
42,172	male	asian	it	20-29	15.8	1,920	1,080	26.23	30
42,173	female	white	en	20-29	7	1,280	720	26.13	30
42,174	female	white	en	20-29	9.7	1,280	720	37.33	30
42,175	male	white	en	30-39	59.6	1,920	1,080	24.02	50
42,176	male	white	en	30-39	38	1,920	1,080	28.46	50
42,177	male	asian	id	30-39	13.6	1,920	1,080	21.49	30
42,178	male	asian	id	30-39	20.3	1,920	1,080	30.63	30
42,179	male	asian	id	30-39	15.6	1,920	1,080	24.96	30
42,180	female	white	en	30-39	35.2	1,920	1,080	30.73	30
42,181	male	asian	id	20-29	14.4	1,920	1,080	21.93	30
42,182	male	white	id	30-39	52.4	1,920	1,080	49.22	30
42,183	male	white	id	30-39	58.5	1,920	1,080	54.05	30
42,184	male	white	id	30-39	9.9	1,920	1,080	23.93	30
42,185	female	asian	id	20-29	34.4	1,920	1,080	45.17	30
42,186	female	asian	id	20-29	21.4	1,920	1,080	27.3	30
42,187	female	asian	id	20-29	17.2	1,920	1,080	21.97	30
42,188	female	asian	id	20-29	24.9	1,920	1,080	31.37	30
42,189	female	asian	id	20-29	18.9	1,920	1,080	25.77	30
42,190	female	asian	id	20-29	19.1	1,920	1,080	25.37	30
42,191	female	asian	id	20-29	16.5	1,920	1,080	21.9	30
42,192	male	asian	id	20-29	14.2	1,920	1,080	23.03	30
42,193	male	asian	id	20-29	19.2	1,920	1,080	29.23	30
42,194	male	asian	id	20-29	34.4	1,920	1,080	47.43	30
42,195	male	asian	id	20-29	8.8	1,280	720	20.93	30
42,196	male	white	en	20-29	29.8	1,920	1,080	31.43	30
42,197	male	asian	id	10-19	75.1	1,920	1,080	173.27	30
42,198	female	indian	en	20-29	21	1,920	1,080	32.12	25
42,199	female	indian	en	20-29	18.6	1,920	1,080	24.88	25
42,200	female	indian	en	20-29	38.1	1,920	1,080	62.72	25
42,201	female	indian	en	20-29	47.6	1,920	1,080	73.2	25
42,202	female	indian	en	20-29	12.7	1,920	1,080	21	25
42,203	male	asian	ko	20-29	18.2	1,920	1,080	35.17	24
42,204	male	asian	id	20-29	23.6	3,840	2,160	24.24	25
42,205	male	asian	id	20-29	21.5	3,840	2,160	22.92	25
42,206	male	asian	id	20-29	15.1	1,920	1,080	53.85	30
42,207	male	asian	id	20-29	27.7	1,920	1,080	96.4	30
42,208	male	asian	id	30-39	29.1	1,920	1,080	26.57	60
42,209	male	asian	id	20-29	48.6	1,920	1,080	114.53	59.9
42,210	male	asian	id	20-29	16.5	1,920	1,080	37.49	59.9
42,211	male	asian	id	20-29	40.4	1,920	1,080	85.92	59.9
42,212	male	asian	id	20-29	9.3	1,920	1,080	22.51	59.9
42,213	male	white	id	20-29	9.5	1,920	1,080	27.53	24
42,214	male	white	id	20-29	30.1	1,920	1,080	91.47	24
42,215	male	asian	id	20-29	9	1,920	1,080	23.83	30
42,216	male	asian	id	20-29	10.4	1,920	1,080	27.6	30
42,217	male	asian	id	30-39	88	3,840	2,160	67.23	30
42,218	male	asian	en	20-29	72.8	3,840	2,160	56.18	24
42,219	male	white	en	20-29	13.4	1,920	1,080	28.58	59.9
42,220	male	white	en	20-29	14.3	1,920	1,080	30.98	59.9
42,221	male	white	en	20-29	14.3	1,920	1,080	30.53	59.9
42,222	male	white	en	20-29	9.1	1,920	1,080	21.84	59.9
42,223	male	white	en	20-29	11	1,920	1,080	25.53	59.9
42,224	male	white	en	20-29	15.8	1,920	1,080	36.05	59.9
42,225	female	white	en	20-29	9.2	1,280	720	28.56	25
42,226	female	white	en	20-29	7.2	1,280	720	22.6	25
42,227	female	asian	id	20-29	40.7	1,920	1,080	66.07	30
42,228	female	asian	id	20-29	14	1,920	1,080	24.07	30
42,229	female	asian	id	20-29	27.4	1,920	1,080	55.2	30
42,230	female	asian	id	20-29	52.5	1,920	1,080	96.03	30
42,231	female	asian	id	20-29	22.3	1,920	1,080	34.43	30
42,232	female	asian	id	20-29	66.8	1,920	1,080	120.97	30
42,233	female	asian	id	20-29	26.9	1,920	1,080	42.4	30
42,234	female	asian	id	20-29	33.6	1,920	1,080	58.73	30
42,235	female	asian	id	20-29	42.2	1,920	1,080	82.37	30
42,236	female	asian	id	20-29	39.7	1,920	1,080	76.57	30
42,237	female	asian	id	20-29	71.3	1,920	1,080	140.83	30
42,238	female	asian	id	20-29	45.2	3,840	2,160	40.54	30
42,239	female	asian	id	20-29	28.8	3,840	2,160	22.32	30
42,240	female	asian	id	20-29	56.3	3,840	2,160	29.63	30
42,241	male	asian	id	20-29	7.1	1,920	1,080	20.33	30
42,242	male	white	en	20-29	51	1,920	1,080	100.2	59.9
42,243	male	white	en	20-29	17.9	1,920	1,080	35.09	59.9

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