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
11,510	male	white	en	30-39	114.7	3,840	2,160	42.83	30
11,511	male	white	en	30-39	88.2	3,840	2,160	31.93	30
11,512	male	white	en	30-39	160.3	3,840	2,160	48.93	30
11,513	female	white	en	40-49	11.8	1,920	1,080	20.39	30
11,514	male	white	en	30-39	5.9	1,920	1,080	20.79	30
11,515	male	white	en	30-39	6.2	1,920	1,080	22.72	30
11,516	female	white	en	20-29	29.8	1,920	1,080	59.32	25
11,517	female	white	en	20-29	9.6	1,920	1,080	23.8	25
11,518	female	white	en	20-29	11.6	1,920	1,080	23.16	25
11,519	female	white	en	20-29	13.3	1,920	1,080	26.56	25
11,520	female	white	en	20-29	10.6	1,920	1,080	25.04	25
11,521	female	white	en	20-29	32	1,920	1,080	72.52	25
11,522	female	white	en	20-29	12.9	1,920	1,080	28.24	25
11,523	female	white	en	20-29	17.6	1,920	1,080	25.76	59.9
11,524	female	white	en	20-29	13.9	1,920	1,080	20.97	59.9
11,525	female	white	en	20-29	35	1,920	1,080	56.06	59.9
11,526	female	white	en	20-29	93.8	1,920	1,080	154.47	59.9
11,527	female	white	en	20-29	18.3	1,920	1,080	31.23	59.9
11,528	female	white	en	20-29	18	1,920	1,080	29.51	59.9
11,529	female	white	en	20-29	26.2	1,920	1,080	40.62	59.9
11,530	female	white	en	20-29	36.7	1,920	1,080	55.37	59.9
11,531	female	white	en	30-39	81.6	3,840	2,160	26.88	25
11,532	female	white	en	30-39	114.6	3,840	2,160	39.72	25
11,533	female	white	en	30-39	200.2	3,840	2,160	51.48	25
11,534	female	white	en	30-39	132.5	3,840	2,160	22.68	25
11,535	female	white	en	30-39	68	3,840	2,160	21.84	25
11,536	male	white	en	40-49	54	1,920	1,080	102.1	30
11,537	male	white	af	20-29	29	1,920	1,080	31.26	50
11,538	male	white	af	20-29	21.7	1,920	1,080	23.08	50
11,539	male	white	en	40-49	74.1	3,840	2,160	37.04	24
11,540	male	white	en	40-49	55.7	3,840	2,160	25.4	24
11,541	male	white	en	40-49	62	3,840	2,160	22.9	24
11,542	male	white	en	30-39	55.2	3,840	2,160	21.81	59.9
11,543	male	white	en	20-29	40.2	3,840	2,160	30.6	25
11,544	male	white	en	40-49	11	1,920	1,080	23.66	50
11,545	female	white	en	20-29	24.9	1,920	1,080	25.64	25
11,546	female	white	en	20-29	26.2	1,920	1,080	41.76	25
11,547	female	white	en	20-29	20.1	1,920	1,080	28.16	25
11,548	male	white	en	20-29	45.4	3,840	2,160	22.33	30
11,549	female	asian	en	20-29	65.8	3,840	2,160	21.44	59.9
11,550	female	asian	en	20-29	76.7	3,840	2,160	28.43	59.9
11,551	female	asian	en	20-29	70.8	3,840	2,160	31	59.9
11,552	female	asian	en	20-29	126.8	3,840	2,160	47.26	59.9
11,553	female	asian	en	20-29	103.8	3,840	2,160	39.47	59.9
11,554	female	asian	en	20-29	54.1	3,840	2,160	21.3	59.9
11,555	male	indian	en	30-39	29.3	3,840	2,160	20.16	25
11,556	male	indian	en	30-39	47.3	3,840	2,160	29.4	25
11,557	male	asian	en	30-39	16.8	1,920	1,080	32.87	24
11,558	male	asian	en	30-39	13.8	1,920	1,080	26.82	24
11,559	male	asian	en	30-39	19	1,920	1,080	36.87	24
11,560	male	asian	en	30-39	12.7	1,920	1,080	23.11	24
11,561	male	asian	en	30-39	15.9	1,920	1,080	30.36	24
11,562	male	asian	en	30-39	36.8	1,920	1,080	54.1	24
11,563	male	white	en	20-29	64.1	3,840	2,160	37.16	24
11,564	male	white	en	20-29	77.5	3,840	2,160	45.42	24
11,565	female	white	en	20-29	72.9	1,920	1,080	92.56	29.9
11,566	female	white	en	20-29	87.1	1,920	1,080	105.53	29.9
11,567	female	white	en	20-29	87.8	1,920	1,080	108.53	29.9
11,568	male	white	en	20-29	48.1	3,840	2,160	21.35	24
11,569	male	white	en	20-29	45.8	3,840	2,160	20.52	24
11,570	male	white	en	30-39	21.6	3,840	2,160	24.54	24
11,571	male	indian	en	30-39	64.6	3,840	2,160	20.4	25
11,572	male	indian	en	30-39	74.5	3,840	2,160	24.48	25
11,808	male	white	en	30-39	58.8	1,920	1,080	104.45	59.9
11,573	male	indian	en	30-39	68.5	3,840	2,160	22.44	25
11,574	male	indian	en	30-39	193.9	3,840	2,160	63.12	25
11,575	male	indian	en	30-39	183.4	3,840	2,160	59.28	25
11,576	male	indian	en	30-39	102.7	3,840	2,160	34.72	25
11,577	male	white	en	30-39	39.4	3,840	2,160	27.63	30
11,578	male	white	en	30-39	29.9	3,840	2,160	20.49	30
11,579	male	white	en	30-39	45.5	3,840	2,160	31.63	30
11,580	male	white	en	30-39	34.1	3,840	2,160	25.99	30
11,581	male	white	en	30-39	37.3	3,840	2,160	28.23	30
11,582	male	white	en	30-39	84.9	3,840	2,160	68.37	30
11,583	male	asian	en	20-29	15.4	1,920	1,080	30.32	24
11,584	male	asian	en	20-29	12.9	1,920	1,080	24.98	24
11,585	male	asian	en	20-29	39.5	1,920	1,080	71.65	24
11,586	male	white	en	20-29	95.3	3,840	2,160	35.87	30
11,587	male	white	en	20-29	79.6	3,840	2,160	29.56	30
11,588	male	white	en	20-29	50.6	3,840	2,160	26.09	30
11,589	male	white	en	20-29	64.1	3,840	2,160	24.52	30
11,590	male	white	en	20-29	65.9	3,840	2,160	26.79	30
11,591	male	white	en	20-29	427.1	3,840	2,160	165.27	30
11,592	male	white	en	20-29	226.9	3,840	2,160	84.28	30
11,593	female	white	en	30-39	59.4	1,920	1,080	131.07	30
11,594	male	white	en	30-39	35.1	3,840	2,160	27.84	25
11,595	male	asian	en	20-29	148.7	3,840	2,160	58.1	24
11,596	male	asian	en	20-29	111	3,840	2,160	59.48	24
11,597	male	black	en	30-39	47.4	3,840	2,160	28.11	24
11,598	male	white	en	20-29	40.9	3,840	2,160	40.79	24
11,599	male	white	en	20-29	24.5	3,840	2,160	23.29	24
11,600	male	white	en	20-29	31.3	3,840	2,160	27.79	24
11,601	male	white	en	20-29	24.1	3,840	2,160	23.54	24
11,602	male	white	en	20-29	42.6	3,840	2,160	43.92	24
11,603	male	white	en	20-29	30.4	3,840	2,160	27.54	24
11,604	male	white	en	30-39	71.2	3,840	2,160	37.62	59.9
11,605	male	white	en	30-39	133.4	3,840	2,160	71.92	59.9
11,606	male	white	en	30-39	91.7	3,840	2,160	51.65	59.9
11,607	male	white	en	30-39	53.9	3,840	2,160	28.16	59.9
11,608	male	white	en	30-39	123.6	3,840	2,160	75.23	59.9

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