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
47,396	male	white	en	20-29	83.5	3,840	2,160	94.29	24
47,397	male	white	en	20-29	28.6	3,840	2,160	32	24
47,398	male	white	en	20-29	17.3	3,840	2,160	20.79	24
47,399	male	white	en	20-29	23	3,840	2,160	29.67	24
47,400	male	white	en	20-29	100.3	3,840	2,160	23.71	24
47,401	male	white	en	20-29	225.9	3,840	2,160	54.71	24
47,402	male	white	en	20-29	151.8	3,840	2,160	38.17	24
47,403	male	white	en	20-29	55.4	3,840	2,160	58.67	24
47,404	male	asian	tl	40-49	38.7	1,920	1,080	59.48	25
47,405	male	asian	tl	40-49	12.1	1,920	1,080	20.16	25
47,406	female	asian	tl	20-29	14.2	1,920	1,080	21.33	30
47,407	male	white	en	20-29	27.5	3,840	2,160	26.19	30
47,408	male	asian	tl	30-39	13.2	1,920	1,080	37.25	24
47,409	male	asian	tl	30-39	7.2	1,920	1,080	21.48	24
47,410	male	asian	tl	30-39	12.9	1,920	1,080	40.37	24
47,411	female	asian	en	10-19	32	1,920	1,080	66.2	30
47,412	female	asian	en	10-19	27.7	1,920	1,080	55.72	30
47,413	female	asian	en	10-19	33.6	1,920	1,080	67.23	30
47,414	female	asian	en	10-19	14.8	1,920	1,080	25.56	30
47,415	female	asian	en	10-19	50	1,920	1,080	95.76	30
47,416	female	asian	en	10-19	12.5	1,920	1,080	24.39	30
47,417	female	asian	en	10-19	13	1,920	1,080	27.53	30
47,418	female	asian	en	10-19	43.2	1,920	1,080	84.32	30
47,419	male	asian	tl	20-29	51.5	3,840	2,160	38.54	24
47,420	male	asian	tl	20-29	106	3,840	2,160	79.08	24
47,421	female	white	es	20-29	28.4	1,920	1,080	32.63	30
47,422	female	asian	tl	20-29	15.7	1,920	1,080	30.77	30
47,423	female	asian	tl	20-29	45.5	1,920	1,080	85.27	30
47,424	female	asian	tl	20-29	15.2	1,920	1,080	30.7	30
47,425	female	asian	tl	20-29	34.4	1,920	1,080	116.1	30
47,426	female	asian	tl	20-29	30.5	1,920	1,080	103.37	30
47,427	female	asian	tl	20-29	10.6	1,920	1,080	31.6	30
47,428	female	asian	tl	20-29	14.8	1,920	1,080	47.33	30
47,429	female	asian	tl	20-29	18.6	1,920	1,080	62.8	30
47,430	female	asian	tl	20-29	33.5	1,920	1,080	93.8	30
47,431	female	asian	tl	20-29	12.7	1,920	1,080	38.2	30
47,432	female	asian	tl	20-29	7.4	1,920	1,080	20.3	30
47,433	female	asian	tl	20-29	24.7	1,920	1,080	65.13	30
47,434	female	asian	tl	20-29	54.2	1,920	1,080	178.27	30
47,435	female	asian	tl	30-39	18.9	1,920	1,080	33.03	30
47,436	female	asian	tl	30-39	16.4	1,920	1,080	32.83	30
47,437	female	white	en	20-29	17.8	1,920	1,080	22.6	50
47,438	female	white	en	20-29	16	1,920	1,080	20.14	50
47,439	female	white	en	20-29	18	1,920	1,080	23.92	50
47,440	female	white	en	20-29	59.8	1,920	1,080	82.84	50
47,441	female	white	en	20-29	21.6	1,920	1,080	30.34	50
47,442	female	white	en	20-29	17.8	1,920	1,080	26.22	50
47,443	female	white	en	20-29	77.7	1,920	1,080	109.1	50
47,444	female	white	en	20-29	16.9	1,920	1,080	23.14	50
47,445	female	white	en	20-29	38.1	1,920	1,080	51.84	50
47,446	male	asian	tl	30-39	16.7	1,920	1,080	20.73	30
47,447	male	asian	tl	20-29	19.6	1,920	1,080	74.53	30
47,448	male	asian	tl	20-29	53.8	1,920	1,080	107.93	30
47,449	female	asian	en	20-29	14.7	1,920	1,080	20.73	24
47,450	male	asian	en	20-29	36.4	1,920	1,080	48.83	30
47,451	male	asian	tl	20-29	25.3	1,920	1,080	38.73	30
47,452	male	asian	tl	20-29	36.1	1,920	1,080	50.83	30
47,453	female	asian	en	20-29	34.7	3,840	2,160	24.47	60
47,454	female	asian	tl	10-19	25.7	1,920	1,080	32.43	30
47,455	female	asian	tl	10-19	42.3	1,920	1,080	49.95	30
47,456	female	asian	tl	10-19	74.8	1,920	1,080	89.09	30
47,457	male	asian	en	30-39	140.7	3,840	2,160	89.29	30
47,458	male	asian	en	30-39	148.8	3,840	2,160	103.3	30
47,459	male	asian	en	30-39	52.9	3,840	2,160	38.04	30
47,460	male	white	en	20-29	31.6	3,840	2,160	22.37	30
47,461	female	asian	tl	20-29	12.7	1,920	1,080	30.23	30
47,462	male	asian	tl	30-39	23.3	1,920	1,080	30.73	30
47,463	male	asian	tl	10-19	14.5	1,920	1,080	63.23	30
47,464	male	asian	tl	10-19	24.8	1,920	1,080	95.83	30
47,465	female	asian	en	20-29	31.8	1,920	1,080	68.07	30
47,466	female	asian	en	20-29	63.2	1,920	1,080	132.73	30
47,467	male	white	tl	10-19	24.7	1,920	1,080	48.28	50
47,468	male	white	en	20-29	85.1	3,840	2,160	70.74	30
47,469	male	white	en	20-29	99.8	3,840	2,160	88.69	30
47,470	male	white	en	20-29	32.5	3,840	2,160	27.29	30
47,471	male	white	en	20-29	33.7	3,840	2,160	29.3	30
47,472	male	white	en	20-29	34.3	3,840	2,160	28.19	30
47,473	female	asian	tl	30-39	48.1	1,920	1,080	41.83	30
47,474	female	asian	tl	30-39	47.8	1,920	1,080	66.03	30
47,475	female	asian	en	10-19	67.5	1,920	1,080	102.65	60
47,476	male	asian	tl	20-29	84.8	3,840	2,160	25.22	60
47,477	male	asian	tl	20-29	96	3,840	2,160	28.68	60
47,478	male	asian	tl	20-29	89.2	3,840	2,160	27.22	60
47,479	male	asian	tl	20-29	132.7	3,840	2,160	41.23	60
47,480	male	asian	tl	20-29	253.1	3,840	2,160	76.17	60
47,481	male	asian	tl	20-29	141.2	3,840	2,160	43.52	60
47,482	male	asian	tl	20-29	86.8	3,840	2,160	25.77	60
47,483	male	asian	tl	20-29	85.8	3,840	2,160	26.12	60
47,484	male	asian	tl	20-29	264	3,840	2,160	81.93	60
47,485	male	asian	tl	20-29	106.4	3,840	2,160	35.22	60
47,486	male	black	tl	20-29	83	1,920	1,080	126.83	24
47,487	female	asian	en	20-29	30.4	1,920	1,080	57.96	30
47,488	female	asian	en	20-29	14.1	1,920	1,080	50.33	30
47,489	female	asian	en	20-29	19.1	1,920	1,080	74	30
47,490	male	asian	tl	20-29	15.5	1,920	1,080	31.63	30
47,491	male	asian	tl	10-19	36.3	1,920	1,080	48.4	30
47,492	male	asian	tl	10-19	38.8	1,920	1,080	47.83	30
47,493	male	white	tl	20-29	98.4	1,920	1,080	171.17	59.9
47,494	male	white	tl	20-29	80.3	1,920	1,080	143.34	59.9
47,495	male	white	tl	20-29	47.4	1,920	1,080	86.14	59.9

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