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
34,520	female	white	nl	20-29	24.6	1,920	1,080	55.48	25
34,521	female	white	nl	20-29	37.2	1,920	1,080	97.08	25
34,522	male	white	en	30-39	23.4	1,920	1,080	44.25	24
34,523	male	white	en	30-39	11.6	1,920	1,080	21.54	24
34,524	female	black	nl	20-29	16.6	1,920	1,080	32.2	24
34,525	female	black	nl	20-29	18.7	1,920	1,080	29.82	24
34,526	female	black	nl	20-29	81	1,920	1,080	135.39	24
34,527	female	black	nl	20-29	74.8	1,920	1,080	118.7	24
34,528	female	black	nl	20-29	43.8	1,920	1,080	65.77	24
34,529	female	black	nl	20-29	83.2	1,920	1,080	132.38	24
34,530	female	white	nl	20-29	115.7	1,920	1,080	153.02	30
34,531	female	white	nl	20-29	15.3	1,920	1,080	21.59	30
34,532	female	white	nl	20-29	118	1,920	1,080	166.53	30
34,533	female	white	nl	20-29	122.7	1,920	1,080	174.77	30
34,534	female	white	en	20-29	25.6	1,920	1,080	45.52	25
34,535	female	white	en	20-29	15.3	1,920	1,080	27.24	25
34,536	female	white	en	20-29	31.2	1,920	1,080	55.96	25
34,537	female	white	en	20-29	14.4	1,920	1,080	22.84	25
34,538	female	white	en	20-29	21.8	1,920	1,080	41.08	25
34,539	female	white	en	20-29	27.2	1,920	1,080	41.2	25
34,540	female	white	en	20-29	12.4	1,920	1,080	20.92	25
34,541	female	white	en	20-29	83.7	1,920	1,080	141.96	25
34,542	female	white	en	20-29	10	1,920	1,080	24.63	30
34,543	female	white	en	20-29	14.1	1,920	1,080	33.8	30
34,544	female	white	en	20-29	29.9	1,920	1,080	81.33	30
34,545	female	white	en	20-29	30.5	1,920	1,080	77.73	30
34,546	female	white	en	20-29	12.8	1,920	1,080	38.23	30
34,547	female	white	en	20-29	11.9	1,920	1,080	22.4	30
34,548	female	white	en	20-29	11.5	1,920	1,080	28.83	30
34,549	male	white	en	60-69	110.1	3,840	2,160	61.53	30
34,550	male	white	en	60-69	36.9	3,840	2,160	21.23	30
34,551	female	asian	nl	10-19	18.5	1,920	1,080	26.4	25
34,552	female	asian	nl	10-19	39.7	1,920	1,080	56.04	25
34,553	female	white	nl	20-29	20.7	1,920	1,080	23.12	30
34,554	female	white	en	20-29	77	1,920	1,080	149.05	30
34,555	female	indian	en	20-29	12.3	1,920	1,080	24.16	59.9
34,556	female	indian	en	20-29	12.6	1,920	1,080	21.64	59.9
34,557	female	indian	en	20-29	38.4	1,920	1,080	50.07	59.9
34,558	female	indian	en	20-29	16.4	1,920	1,080	26.29	59.9
34,559	female	indian	en	20-29	15.2	1,920	1,080	26.74	59.9
34,560	female	indian	en	20-29	27	1,920	1,080	45.58	59.9
34,561	female	indian	en	20-29	22.6	1,920	1,080	39.09	59.9
34,562	female	indian	en	20-29	16.8	1,920	1,080	29.96	59.9
34,563	female	asian	en	20-29	46.7	1,920	1,080	88.29	30
34,564	female	asian	en	20-29	81	1,920	1,080	159.99	30
34,565	female	asian	en	20-29	16.8	1,920	1,080	27.23	30
34,566	female	asian	en	20-29	26.8	1,920	1,080	46.95	30
34,567	female	asian	en	20-29	11.8	1,920	1,080	24.06	30
34,568	male	white	nl	30-39	41.8	3,840	2,160	21.48	25
34,569	female	white	en	20-29	17.3	1,920	1,080	37.64	30
34,570	female	white	en	20-29	10.9	1,920	1,080	26.63	30
34,571	female	white	en	20-29	18.9	1,920	1,080	40.84	30
34,572	female	white	en	20-29	30.4	1,920	1,080	71.47	30
34,573	female	white	en	20-29	16.6	1,920	1,080	35.03	30
34,574	male	white	en	30-39	23.8	1,920	1,080	31.32	25
34,575	female	black	en	30-39	18.5	1,920	1,080	29.33	30
34,576	female	black	en	30-39	21.8	1,920	1,080	37.87	30
34,577	female	black	en	30-39	9.5	1,920	1,080	22.59	30
34,578	female	asian	en	20-29	4.9	1,920	1,080	23.16	25
34,579	female	asian	en	20-29	6.5	1,920	1,080	25.76	25
34,580	female	asian	en	20-29	7	1,920	1,080	31.76	25
34,581	female	asian	en	20-29	5.9	1,920	1,080	24.68	25
34,582	female	asian	en	20-29	7	1,920	1,080	31.28	25
34,583	female	asian	en	20-29	7	1,920	1,080	32	25
34,584	female	asian	en	20-29	11.8	1,920	1,080	46.68	25
34,585	female	white	nl	20-29	29.2	1,920	1,080	61.96	25
34,586	female	white	nl	20-29	31.4	1,920	1,080	61.16	25
34,587	female	white	nl	20-29	15.2	1,920	1,080	27.4	25
34,588	female	white	en	20-29	27.5	1,920	1,080	53.35	30
34,589	female	white	en	20-29	11.9	1,920	1,080	20.32	30
34,590	female	white	en	20-29	17.1	1,920	1,080	32.33	30
34,591	male	white	de	20-29	71.5	3,840	2,160	40.43	30
34,592	male	white	nl	40-49	32	1,920	1,080	26.85	48.2
34,593	female	white	en	20-29	25.3	1,920	1,080	40.08	24
34,594	male	white	nl	30-39	48.1	3,840	2,160	24.72	25
34,595	female	indian	hi	20-29	23.9	1,920	1,080	36.37	30
34,596	female	indian	hi	20-29	16.8	1,920	1,080	24.6	30
34,597	female	indian	hi	20-29	46.3	1,920	1,080	69.27	30
34,598	female	indian	hi	20-29	19.1	1,920	1,080	29.53	30
34,599	female	indian	hi	20-29	23.4	1,920	1,080	35.57	30
34,600	female	white	af	30-39	16.4	1,280	720	49.56	25
34,601	female	white	af	30-39	9.6	1,280	720	27.84	25
34,602	female	white	af	30-39	27.2	1,280	720	71.76	25
34,603	female	white	af	30-39	7.4	1,280	720	22.92	25
34,604	male	asian	en	20-29	31.4	1,920	1,080	74.61	30
34,605	male	asian	en	20-29	20.4	1,920	1,080	37.97	30
34,606	male	asian	en	20-29	9.4	1,920	1,080	24.79	30
34,607	male	asian	en	20-29	9.3	1,920	1,080	20.19	30
34,608	male	asian	en	20-29	30.6	1,920	1,080	67.07	30
34,609	male	asian	en	20-29	31.9	1,920	1,080	55.26	30
34,610	male	asian	en	20-29	18.8	1,920	1,080	32.6	30
34,611	male	asian	en	20-29	20	1,920	1,080	31.7	30
34,612	male	asian	en	20-29	20.7	1,920	1,080	29.33	30
34,613	male	asian	en	20-29	38.4	1,920	1,080	64.66	30
34,614	male	asian	en	20-29	12.6	1,920	1,080	20.65	30
34,615	male	asian	en	20-29	31.6	1,920	1,080	52.02	30
34,616	male	black	en	10-19	11.7	1,920	1,080	23.52	30
34,617	female	white	nl	20-29	15	1,920	1,080	27.72	25
34,618	female	white	nl	20-29	27.2	1,920	1,080	59.8	25
34,619	female	white	nl	20-29	25.7	1,920	1,080	61.64	25

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