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
10,409	female	white	en	20-29	32.2	1,920	1,080	45.38	24
10,410	male	white	en	50-59	24.2	1,920	1,080	44.84	30
10,411	male	white	en	50-59	21.7	1,920	1,080	45.75	30
10,412	male	white	en	60-69	18.2	1,920	1,080	68.28	24
10,413	male	white	en	40-49	6.2	1,920	1,080	21.86	30
10,414	male	white	en	40-49	7.2	1,920	1,080	24.72	30
10,415	male	white	en	40-49	18.4	1,920	1,080	65.83	30
10,416	male	white	en	40-49	7.8	1,920	1,080	24.92	30
10,417	male	white	en	40-49	32.2	1,920	1,080	112.11	30
10,418	male	white	en	20-29	109.3	3,840	2,160	53.05	24
10,419	male	white	en	20-29	81.5	3,840	2,160	34.24	24
10,420	female	black	en	30-39	42.7	1,920	1,080	40.54	59.9
10,421	female	black	en	30-39	30.9	1,920	1,080	26.13	59.9
10,422	male	white	en	40-49	53.6	3,840	2,160	40.81	30
10,423	male	white	en	40-49	46	3,840	2,160	35.1	30
10,424	male	white	en	40-49	44.8	3,840	2,160	31.03	30
10,425	male	white	en	30-39	501.8	3,840	2,160	141.68	25
10,426	male	white	en	40-49	29	3,840	2,160	20.98	24
10,427	male	white	en	40-49	58.3	3,840	2,160	47.38	24
10,428	male	white	en	40-49	24.8	3,840	2,160	21.73	24
10,429	male	white	en	40-49	35.4	3,840	2,160	22.02	24
10,430	male	white	en	40-49	46.7	3,840	2,160	31.03	24
10,431	male	white	en	40-49	83.7	3,840	2,160	52.01	24
10,432	male	white	en	40-49	25.5	3,840	2,160	20.77	24
10,433	male	white	en	40-49	33.4	3,840	2,160	26.23	24
10,434	male	white	en	40-49	32.5	3,840	2,160	27.4	24
13,162	male	white	en	30-39	21.1	3,840	2,160	21.6	24
13,163	male	white	en	30-39	46.1	3,840	2,160	27.57	24
10,438	male	indian	en	30-39	38.5	2,560	1,440	52.97	24
10,439	male	white	en	30-39	65.4	3,840	2,160	50.21	24
10,440	male	white	en	30-39	77.1	3,840	2,160	56.29	24
10,441	male	white	en	30-39	69	3,840	2,160	49.29	24
10,442	male	white	en	30-39	116.5	3,840	2,160	51.75	30
10,443	male	white	en	30-39	109.1	3,840	2,160	49.85	30
10,444	male	white	en	30-39	114.7	3,840	2,160	46.75	30
10,445	male	white	en	30-39	53.7	3,840	2,160	23.52	30
10,446	male	white	en	40-49	134.5	3,840	2,160	51.02	30
10,447	male	white	en	40-49	73.4	3,840	2,160	26.99	30
10,448	male	white	en	40-49	160.4	3,840	2,160	59.86	30
10,449	male	asian	en	20-29	34.2	3,840	2,160	31.83	30
10,450	male	white	en	40-49	48.9	3,840	2,160	42.74	30
10,451	male	white	en	40-49	22.7	3,840	2,160	20.59	30
10,452	male	white	en	40-49	71.6	3,840	2,160	65.27	30
10,453	male	white	en	40-49	52.7	3,840	2,160	45.35	30
10,454	male	white	en	20-29	34	3,840	2,160	30.5	30
10,455	male	white	en	20-29	42.1	3,840	2,160	37.04	30
10,456	male	indian	en	20-29	710.2	3,840	2,160	156.56	59.9
10,457	female	white	en	20-29	59.1	3,840	2,160	36.97	60
10,458	male	asian	en	30-39	40.5	3,840	2,160	29.23	30
10,459	female	asian	en	20-29	11.1	1,920	1,080	20.83	30
10,460	female	asian	en	20-29	14.6	1,920	1,080	25.97	30
10,461	female	asian	en	20-29	14.7	1,920	1,080	31.23	30
10,462	female	asian	en	20-29	13	1,920	1,080	27.03	30
10,463	female	asian	en	20-29	12.4	1,920	1,080	28.17	30
10,464	female	asian	en	20-29	13.2	1,920	1,080	27.03	30
10,465	female	asian	en	20-29	18.6	1,920	1,080	43.83	30
10,466	male	white	en	20-29	34.5	3,840	2,160	28.7	30
10,467	male	white	en	20-29	25.5	3,840	2,160	20.49	30
10,468	female	white	en	20-29	8.1	1,920	1,080	24.17	24
10,469	female	white	en	20-29	20.9	1,920	1,080	67.04	24
10,470	female	white	en	50-59	84.5	1,920	1,080	128.33	30
10,471	female	white	en	50-59	39.4	1,920	1,080	64.43	30
10,472	male	white	en	30-39	19.9	3,840	2,160	22.69	24
10,473	male	white	en	30-39	56.4	3,840	2,160	33.57	30
10,474	male	white	en	30-39	38.7	3,840	2,160	26.23	30
10,475	male	asian	en	20-29	47.5	3,840	2,160	36.66	24
10,476	male	white	en	20-29	7.5	1,920	1,080	20.67	60
10,477	male	white	en	30-39	8.3	1,920	1,080	23	25
10,478	male	white	en	30-39	85.7	3,840	2,160	56.64	25
10,479	male	white	en	30-39	35.4	3,840	2,160	22.9	24
10,480	male	white	en	30-39	43.1	3,840	2,160	23.26	30
10,481	male	white	en	30-39	192.9	3,840	2,160	57.89	30
10,482	male	white	en	30-39	288.4	3,840	2,160	64.33	30
10,483	male	white	en	30-39	30	3,840	2,160	20.23	24
10,484	male	asian	en	20-29	39.3	3,840	2,160	24.23	24
10,485	male	asian	en	20-29	49	3,840	2,160	28.36	24
10,486	male	asian	en	20-29	62	3,840	2,160	24.82	24
10,487	male	asian	en	20-29	9.9	1,920	1,080	24.39	30
10,488	male	asian	en	20-29	17.9	1,920	1,080	47.28	25
10,489	male	asian	en	20-29	37.1	1,920	1,080	95.76	25
10,490	male	asian	en	20-29	16.6	1,920	1,080	41.88	25
10,491	male	white	en	30-39	32.6	3,840	2,160	32.28	24
10,492	male	white	en	30-39	41.2	3,840	2,160	42.54	24
10,493	male	white	en	30-39	33.9	3,840	2,160	34.03	24
10,494	male	white	en	30-39	71.5	3,840	2,160	73.78	24
10,495	male	white	en	30-39	51.4	3,840	2,160	53.89	24
10,496	male	white	en	30-39	36.3	3,840	2,160	35.62	24
10,497	male	white	en	30-39	46.4	3,840	2,160	48.3	24
10,498	male	black	en	20-29	235.1	3,840	2,160	80.67	24
10,499	female	white	en	30-39	107	3,840	2,160	54.05	59.9
10,500	female	white	en	30-39	39.7	3,840	2,160	22.42	59.9
10,501	male	white	en	40-49	84.5	3,840	2,160	40.99	59.9
10,502	male	white	en	30-39	41.5	3,840	2,160	36.34	30
10,503	male	black	en	20-29	40.5	3,840	2,160	28.08	25
10,504	male	white	en	30-39	13	1,920	1,080	35.23	30
10,505	male	white	en	30-39	11.2	1,920	1,080	30.13	30
10,506	male	white	en	30-39	36.7	1,920	1,080	96.63	30
10,507	male	white	en	20-29	10.6	1,920	1,080	22.49	30
10,508	male	white	en	20-29	10.7	1,920	1,080	20.92	30
10,509	male	white	en	20-29	23.9	1,920	1,080	48.75	30

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