Datasets:

bigbio
/

bio_sim_verb

id stringlengths 1 4	document_id stringclasses 1 value	text_1 stringlengths 3 15	text_2 stringlengths 3 17	label stringlengths 4 5
1	NULL	depolymerize	reduce	1.98
2	NULL	localize	regulate	0.66
3	NULL	calibrate	treat	0.00
4	NULL	form	synthesize	8.65
5	NULL	arrest	inhibit	6.96
6	NULL	code	curate	0.33
7	NULL	cultivate	metastasize	0.98
8	NULL	ionize	sleep	0.00
9	NULL	cosegregate	repress	0.00
10	NULL	inoculate	phenocopy	0.00
11	NULL	await	equalize	0.00
12	NULL	initiate	occur	2.64
13	NULL	detoxify	develop	0.98
14	NULL	dissect	stain	0.98
15	NULL	block	restrain	5.64
16	NULL	label	probe	3.96
17	NULL	destabilize	promote	0.33
18	NULL	contract	passage	0.65
19	NULL	chill	recycle	0.00
20	NULL	inject	reassemble	0.00
21	NULL	adsorb	assay	1.32
22	NULL	prosper	underpin	0.33
23	NULL	excise	extract	4.63
24	NULL	double	replicate	7.30
25	NULL	stratify	vary	0.65
26	NULL	sequester	store	5.97
27	NULL	assay	freeze	0.00
28	NULL	survive	void	0.00
29	NULL	biotinylate	induce	0.33
30	NULL	bleach	hybridize	0.00
31	NULL	condition	obviate	1.65
32	NULL	suppress	dampen	6.62
33	NULL	disclose	study	1.31
34	NULL	accumulate	collapse	0.00
35	NULL	elute	kill	0.33
36	NULL	concentrate	immunoprecipitate	4.30
37	NULL	immunize	inoculate	6.97
38	NULL	blot	call	0.00
39	NULL	seroconvert	transduce	3.96
40	NULL	deacetylate	invade	0.00
41	NULL	enhance	stratify	0.33
42	NULL	dissect	regain	0.33
43	NULL	dilute	ligate	0.33
44	NULL	clasp	request	0.00
45	NULL	abate	transform	0.98
46	NULL	fruit	seed	3.98
47	NULL	adhere	attach	8.99
48	NULL	eliminate	excrete	5.64
49	NULL	coagulate	digest	0.66
50	NULL	eclipse	hospitalize	0.00
51	NULL	dedifferentiate	fold	0.33
52	NULL	dehydrate	supershift	0.00
53	NULL	cotransfect	tether	0.66
54	NULL	destain	synergise	0.00
55	NULL	pattern	tend	1.97
56	NULL	fix	spring	0.00
57	NULL	learn	perceive	4.30
58	NULL	discuss	talk	7.98
59	NULL	disturb	interrupt	7.98
60	NULL	cry	help	0.33
61	NULL	rank	restrict	1.32
62	NULL	enumerate	instruct	1.96
63	NULL	categorize	illustrate	0.99
64	NULL	serve	top	1.30
65	NULL	distance	incur	0.33
66	NULL	remove	replace	3.64
67	NULL	ignore	neglect	7.99
68	NULL	neglect	reject	3.63
69	NULL	disregard	ignore	7.64
70	NULL	grasp	pull	1.97
71	NULL	entail	target	2.31
72	NULL	seek	seem	0.99
73	NULL	object	simplify	0.00
74	NULL	coil	contain	0.00
75	NULL	constrict	reserve	1.30
76	NULL	pull	reach	0.98
77	NULL	discover	find	8.99
78	NULL	fail	lose	4.64
79	NULL	leave	wait	0.00
80	NULL	educate	teach	9.66
81	NULL	explain	perceive	1.31
82	NULL	comply	report	0.00
83	NULL	reference	result	1.64
84	NULL	improve	buffer	0.33
85	NULL	argue	widen	0.00
86	NULL	appear	seem	8.99
87	NULL	run	skip	4.64
88	NULL	skip	walk	2.64
89	NULL	exchange	return	3.64
90	NULL	deliver	send	5.29
91	NULL	catch	lessen	0.00
92	NULL	act	aim	0.33
93	NULL	aid	balance	1.98
94	NULL	characterize	sting	0.00
95	NULL	perform	suggest	0.33
96	NULL	clarify	explain	8.64
97	NULL	sink	swim	0.98
98	NULL	keep	retain	8.99
99	NULL	argue	debate	7.97
100	NULL	bite	sting	3.96

End of preview. Expand in Dataset Viewer.

Dataset Card for Bio-SimVerb

This repository contains the evaluation datasets for the paper Bio-SimVerb and Bio-SimLex: Wide-coverage Evaluation Sets of Word Similarity in Biomedicine by Billy Chiu, Sampo Pyysalo and Anna Korhonen.

Citation Information

@article{article,
  title        = {
    Bio-SimVerb and Bio-SimLex: Wide-coverage evaluation sets of word
    similarity in biomedicine
  },
  author       = {Chiu, Billy and Pyysalo, Sampo and Vulić, Ivan and Korhonen, Anna},
  year         = 2018,
  month        = {02},
  journal      = {BMC Bioinformatics},
  volume       = 19,
  pages        = {},
  doi          = {10.1186/s12859-018-2039-z}
}

Downloads last month: 63

Size of downloaded dataset files:

41.7 kB

Size of the auto-converted Parquet files:

37.8 kB

Number of rows:

2,000