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
41,444	female	white	en	20-29	46.5	1,920	1,080	78.57	30
41,445	female	white	en	20-29	14.4	1,920	1,080	23	30
41,446	female	white	en	20-29	60.5	1,920	1,080	109	30
41,447	female	white	en	20-29	41.5	1,920	1,080	92	30
41,448	male	white	en	20-29	58.5	1,920	1,080	25.83	30
41,449	male	white	en	20-29	24.5	1,920	1,080	23.99	30
41,450	male	asian	id	20-29	11.1	1,920	1,080	27.16	30
41,451	male	asian	id	20-29	33.5	1,920	1,080	86.72	30
41,452	male	asian	id	20-29	13.6	1,920	1,080	35.77	30
41,453	male	asian	id	20-29	10	1,920	1,080	24.49	30
41,454	male	asian	id	20-29	13.4	1,920	1,080	32.53	30
41,455	male	asian	id	20-29	8.7	1,920	1,080	22.52	30
41,456	male	asian	id	20-29	8.5	1,920	1,080	23.22	30
41,457	male	asian	id	20-29	14.2	1,920	1,080	35.3	30
41,458	male	asian	id	20-29	17.8	1,920	1,080	48.21	30
41,459	male	asian	id	20-29	13.8	1,920	1,080	33.2	30
41,460	male	white	en	30-39	32.8	3,840	2,160	29.28	25
41,461	male	white	en	30-39	33.1	3,840	2,160	30.48	25
41,462	male	white	en	20-29	17	1,920	1,080	28.83	30
41,463	male	asian	id	30-39	152.4	1,920	1,080	130.8	30
41,464	male	asian	id	30-39	122.5	1,920	1,080	110.5	30
41,465	male	asian	id	30-39	161.5	1,920	1,080	143.03	30
41,466	male	asian	id	20-29	8.9	1,920	1,080	26.93	30
41,467	male	asian	id	30-39	20.3	1,920	1,080	25.93	30
41,468	female	asian	en	20-29	13.1	1,920	1,080	29.73	30
41,469	female	asian	id	20-29	10.8	1,920	1,080	23.4	30
41,470	female	black	en	30-39	20.4	1,920	1,080	40.75	24
41,471	female	asian	id	20-29	34.6	1,920	1,080	33.86	50
41,472	female	asian	id	20-29	30.4	1,920	1,080	38.92	50
41,473	female	asian	id	20-29	25.9	1,920	1,080	28.68	50
41,474	female	asian	id	20-29	37.1	1,920	1,080	37.54	50
41,475	male	asian	en	20-29	12.8	1,920	1,080	22.11	24
41,476	female	asian	id	20-29	12.2	1,920	1,080	25.23	30
41,477	female	asian	id	20-29	13.2	1,920	1,080	26.03	30
41,478	female	asian	id	20-29	13.4	1,920	1,080	27.03	30
41,479	female	asian	id	20-29	13.7	1,920	1,080	31.03	30
41,480	female	asian	id	20-29	8.8	1,920	1,080	26.23	30
41,481	female	asian	id	20-29	15	1,920	1,080	33.27	30
41,482	female	asian	id	20-29	18.2	1,920	1,080	44.23	30
41,483	female	asian	en	20-29	41.2	1,920	1,080	78.8	30
41,484	female	asian	en	20-29	12.2	1,920	1,080	23.3	30
41,485	male	white	en	30-39	58.2	1,920	1,080	119	30
41,486	male	asian	id	20-29	59.5	3,840	2,160	25.16	30
41,487	male	asian	id	20-29	24.8	3,840	2,160	21.09	30
41,488	male	asian	id	20-29	25.8	1,920	1,080	41	25
41,489	male	asian	id	30-39	6.9	1,920	1,080	23.53	30
41,490	male	asian	en	10-19	22.5	1,920	1,080	32.73	30
41,491	male	asian	en	10-19	27.6	1,920	1,080	38.2	30
41,492	male	asian	en	10-19	89.6	1,920	1,080	121.62	30
41,493	male	asian	en	10-19	19.9	1,920	1,080	28.36	30
41,494	male	asian	en	10-19	22.7	1,920	1,080	33.63	30
41,495	male	asian	en	10-19	61	1,920	1,080	86.52	30
41,496	male	asian	en	10-19	21	1,920	1,080	30.03	30
41,497	male	asian	id	20-29	42.5	3,840	2,160	20.64	25
41,498	male	black	te	20-29	24	1,920	1,080	27.36	25
41,499	male	asian	id	20-29	35.6	1,920	1,080	33.93	30
41,500	male	white	en	20-29	63.1	1,920	1,080	169.17	30
41,501	male	asian	id	20-29	34.9	3,840	2,160	20.9	59.9
41,502	male	asian	id	20-29	48.1	3,840	2,160	33.08	59.9
41,503	male	asian	id	20-29	40.2	3,840	2,160	20.75	59.9
41,504	female	asian	id	20-29	14.4	1,920	1,080	23.78	60
41,505	female	asian	id	20-29	23.1	1,920	1,080	36.53	60
41,506	female	asian	id	20-29	29.9	1,920	1,080	46.22	60
41,507	female	asian	id	20-29	10.2	1,920	1,080	23.32	30
41,508	female	asian	id	20-29	13.6	1,920	1,080	31.73	30
41,509	male	asian	id	20-29	41.2	3,840	2,160	31.4	30
41,510	male	asian	id	20-29	31.1	3,840	2,160	23.42	30
41,511	female	white	en	20-29	12.1	1,920	1,080	27.64	25
41,512	female	white	en	20-29	15.9	1,920	1,080	21.12	25
41,513	female	white	en	20-29	20.1	1,920	1,080	48.76	25
41,514	male	white	en	30-39	15.8	3,840	2,160	20.35	24
41,515	male	white	en	30-39	10.7	1,920	1,080	20.54	24
41,516	male	white	en	30-39	15.3	1,920	1,080	28.67	24
41,517	male	white	en	30-39	17.5	1,920	1,080	34.79	24
41,518	male	white	en	20-29	35.4	1,920	1,080	60.53	30
41,519	male	white	en	20-29	20.2	1,920	1,080	30.3	30
41,520	male	white	en	20-29	21.1	1,920	1,080	36.87	30
41,521	male	white	en	20-29	21.9	1,920	1,080	34.43	30
41,522	male	asian	en	20-29	108.7	1,920	1,080	135.77	30
41,523	male	asian	en	20-29	23.8	1,920	1,080	29.63	30
41,524	male	asian	en	20-29	32.8	1,920	1,080	47.7	30
41,525	female	asian	en	20-29	12	1,920	1,080	26.46	30
41,526	female	asian	en	20-29	9.4	1,920	1,080	21.65	30
41,527	female	asian	en	20-29	22.4	1,920	1,080	50.62	30
41,528	female	asian	en	20-29	17.7	1,920	1,080	41.37	30
41,529	female	asian	en	20-29	16.3	1,920	1,080	37.44	30
41,530	female	asian	en	20-29	10.7	1,920	1,080	25.06	30
41,531	female	asian	en	20-29	8.7	1,920	1,080	21.19	30
41,532	female	asian	en	20-29	19	1,920	1,080	45.75	30
41,533	female	asian	en	20-29	31.4	1,920	1,080	78.28	30
41,534	female	asian	en	20-29	17.2	1,920	1,080	38.1	30
41,535	female	asian	en	20-29	37.1	1,920	1,080	83.88	30
41,536	female	asian	en	20-29	20.3	1,920	1,080	44.44	30
41,537	female	asian	en	20-29	11.1	1,920	1,080	24.26	30
41,538	male	asian	id	20-29	22.4	1,728	1,080	44.6	30
41,539	male	asian	id	20-29	11.9	1,728	1,080	21.77	30
41,540	male	asian	id	20-29	18.7	3,840	2,160	22.03	30
41,541	male	asian	id	20-29	66.1	3,840	2,160	74.73	30
41,542	male	asian	id	20-29	21.1	3,840	2,160	23.83	30
41,543	male	asian	id	20-29	28.3	3,840	2,160	22.92	25

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