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
0.613411	-0.696771	high-end	33,800
-4.195764	3.525599	mcgriff	33,801
-3.918843	4.65476	hutchins	33,802
-2.849221	-1.048607	panchen	33,803
3.109967	0.263353	ether	33,804
2.391186	-3.659517	distaste	33,805
-3.919713	4.834093	waite	33,806
-2.147838	-1.563301	aristocrats	33,807
-3.756841	4.398491	rapp	33,808
1.109492	-0.219808	habitation	33,809
-3.035512	2.258967	fairgrounds	33,810
-3.979816	3.6547	kovalev	33,811
0.658394	-4.153147	disputing	33,812
3.24717	-2.21247	desertification	33,813
2.027484	-1.655995	fixation	33,814
-5.9375	2.621429	eun	33,815
0.561418	-2.483814	redundancy	33,816
-1.427435	-0.690819	adventurers	33,817
3.864876	-1.14205	biopsy	33,818
2.511127	-1.965205	slumps	33,819
-5.889835	-1.570602	llodra	33,820
-2.591641	-2.524605	precocious	33,821
-3.678493	4.690932	lachlan	33,822
-0.93718	2.671516	gdf	33,823
-3.429381	5.432918	connery	33,824
-3.338778	0.731664	podlaskie	33,825
-2.409014	5.427031	barthez	33,826
0.507027	-4.443845	elude	33,827
2.778291	-0.522629	pours	33,828
-3.860405	3.985352	bryn	33,829
2.438884	-3.239112	cheesy	33,830
-4.083101	3.401459	ishii	33,831
-3.316223	4.932753	scrooge	33,832
-4.597055	0.484975	changsha	33,833
-4.592294	-0.051125	conakry	33,834
-4.602624	0.240515	kelantan	33,835
0.969706	1.192501	supernova	33,836
-3.689771	4.444903	tuttle	33,837
-2.024848	2.679318	ish	33,838
-0.676512	-3.109101	referrals	33,839
-1.806665	-2.079782	paramedic	33,840
0.700721	0.908281	coasters	33,841
-0.120471	-3.570255	mfn	33,842
-1.504613	2.463014	ica	33,843
-4.324002	0.6131	jaffa	33,844
3.012191	-1.66448	ase	33,845
-3.223713	4.966747	vogt	33,846
6.962564	3.997419	64,000	33,847
-2.199332	4.259151	jovanovic	33,848
-3.862667	4.965025	corrigan	33,849
2.872066	-1.980317	recede	33,850
-5.895881	0.453709	haj	33,851
-5.699086	2.950691	shing	33,852
1.758994	-2.988583	afterthought	33,853
-3.312461	5.322933	yolanda	33,854
-2.442028	4.471709	schleck	33,855
9.345765	2.799139	24.3	33,856
2.957949	-2.269154	ripples	33,857
1.459493	-2.648689	handsomely	33,858
-2.068592	-2.032001	multimillionaire	33,859
-1.94243	3.005666	shura	33,860
-5.254129	3.194559	bharat	33,861
-0.976566	1.269389	interscope	33,862
-6.428358	0.518359	waqar	33,863
1.790994	-2.853114	existent	33,864
1.910375	-1.206362	protectors	33,865
-0.939336	-3.135569	interdiction	33,866
0.710372	0.932273	passerine	33,867
-1.500641	3.596716	chp	33,868
-0.586692	2.749279	gatorade	33,869
-3.013391	1.971763	biloxi	33,870
-0.567235	-3.161235	reschedule	33,871
2.533666	-2.945518	irreparable	33,872
-4.102933	2.584646	matadors	33,873
-5.910743	2.582891	hyung	33,874
-5.905601	2.589329	chul	33,875
-3.958388	1.083395	lucerne	33,876
-3.889515	4.008326	folsom	33,877
0.024716	0.03045	isp	33,878
-5.133942	3.739355	dutt	33,879
1.724541	-0.387173	spectacles	33,880
-2.075774	0.603366	pentathlon	33,881
-0.949605	2.402681	bechtel	33,882
0.794819	-0.846249	unicode	33,883
1.742543	-2.708497	infrequent	33,884
-3.276194	-2.700648	82-year	33,885
-3.4348	4.590693	lind	33,886
-1.859029	4.896235	cid	33,887
0.88956	1.822855	lark	33,888
-0.818682	-3.449217	bahd	33,889
1.553523	0.345704	vases	33,890
2.999109	0.214677	calibre	33,891
0.060135	-4.37758	whistleblower	33,892
-0.701422	2.412522	infineon	33,893
-5.637399	5.42062	gambhir	33,894
-1.587129	-0.802754	aramaic	33,895
-2.890205	-1.571738	revolted	33,896
0.825586	-0.01112	fortresses	33,897
-4.604331	-0.105177	ashkelon	33,898
-5.936043	0.602082	jama	33,899