Datasets:

mt0rm0
/

glove.6B.50d.umap.2d

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Split (1)

train · 34.4k rows

UMAP1 float32 -6.43 9.57	UMAP2 float32 -10.45 10	token stringlengths 1 22	__index_level_0__ int64 0 34.4k
6.449914	5.814632	339	33,700
-2.3216	1.839957	jw	33,701
-2.574194	5.284873	cipriani	33,702
1.77328	-2.638205	unmatched	33,703
0.089699	-1.589301	idled	33,704
-3.15339	5.100988	gregoire	33,705
3.202084	1.472569	casserole	33,706
-4.249673	-3.757254	11-2	33,707
1.312641	1.09698	shoals	33,708
0.275654	-0.470498	on-line	33,709
-3.752796	4.83284	butterworth	33,710
-2.04346	2.208148	het	33,711
-3.575004	3.926236	sabina	33,712
0.83349	-0.096682	miniatures	33,713
6.975418	3.923218	56,000	33,714
9.485591	-5.673697	1690	33,715
6.447231	5.823725	368	33,716
-5.946274	2.872092	pu	33,717
9.354706	2.796412	33.3	33,718
-1.930456	4.841585	cervantes	33,719
-2.898504	4.767364	reinhard	33,720
-2.489968	6.528794	zak	33,721
5.825381	2.573986	p.m	33,722
-5.649426	0.773014	hanan	33,723
2.17679	-3.971008	sighed	33,724
1.652156	0.064722	affixed	33,725
-1.077868	-3.104022	interagency	33,726
-1.61643	-1.327826	bsc	33,727
-4.71932	0.438709	kermanshah	33,728
-0.310133	-0.36958	newsletters	33,729
-1.802266	4.289239	nikolic	33,730
2.123928	-0.241721	ladders	33,731
2.291875	-1.022229	pry	33,732
-0.528244	-1.151138	psychoanalysis	33,733
-1.028488	0.21161	co-starred	33,734
-2.354458	-1.757891	highness	33,735
1.749981	0.282507	earthen	33,736
-2.769559	-1.428523	seminaries	33,737
2.585262	-2.88093	unintentional	33,738
-1.659302	2.029761	ditto	33,739
1.934403	-4.0018	mused	33,740
-2.325204	6.811603	ahs	33,741
-1.442683	-2.17929	sabbatical	33,742
-4.077894	3.624614	angelos	33,743
0.565746	-2.037128	deregulated	33,744
-1.027215	-1.185181	shortlist	33,745
-2.743493	5.887686	poulter	33,746
2.375519	-1.05243	rackets	33,747
-2.867121	2.530984	merced	33,748
-2.278852	2.445454	sobre	33,749
-2.025402	-2.769297	avenged	33,750
0.150405	1.600717	follies	33,751
2.457751	-3.145201	fling	33,752
2.795769	-0.926475	stink	33,753
0.795374	-4.31647	misrepresented	33,754
-3.531263	4.536594	hynes	33,755
-3.428783	5.436082	sarandon	33,756
-3.71547	3.65728	n.d.	33,757
6.374499	4.861348	870	33,758
1.151514	1.898306	hounds	33,759
-3.45983	0.800593	rhineland-palatinate	33,760
-5.195877	3.565941	vikram	33,761
2.142565	-3.968685	marveled	33,762
-3.657687	4.460008	olin	33,763
-3.423354	4.511604	bane	33,764
-2.339382	-1.012641	rosh	33,765
2.16634	0.046269	radiator	33,766
-0.046004	2.255869	roadster	33,767
9.309889	2.811904	20.2	33,768
-3.418477	4.401541	toyoda	33,769
-0.739978	-1.253625	cosmology	33,770
2.858302	-1.86775	weathering	33,771
-3.468219	5.100968	coyle	33,772
1.750512	-1.443157	undisturbed	33,773
-3.938625	4.357337	merrick	33,774
1.251914	-3.277489	rigor	33,775
-4.229564	4.411736	blanton	33,776
-3.560497	4.555657	sanger	33,777
-3.684492	4.739088	sills	33,778
6.456324	5.831547	364	33,779
0.490601	1.146111	biplane	33,780
-3.726165	1.686179	deccan	33,781
6.447015	5.790594	351	33,782
9.35391	2.796288	28.6	33,783
-4.420286	1.1323	ahly	33,784
-5.724555	2.964423	kwok	33,785
-1.047588	2.638523	boerse	33,786
-0.282113	-3.850788	sterilization	33,787
-4.930011	4.324783	mcclintock	33,788
0.109886	-0.088812	isps	33,789
3.273679	-0.41732	peptide	33,790
6.431879	5.657604	403	33,791
2.353255	-4.180041	tirade	33,792
6.909533	3.918113	320,000	33,793
-2.777527	5.394644	gigi	33,794
-3.957021	1.615622	cheetahs	33,795
-3.723653	4.091138	grantham	33,796
2.453292	-0.160913	pouch	33,797
-3.89691	4.098136	marcy	33,798
-4.474093	4.311418	wexler	33,799