Question
stringlengths 3
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| Answer
stringlengths 2
65
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|---|---|---|
abandoned | no longer occupied | left alone/ give up |
aberrant | abnormal | |
abolished | ended | eliminated |
abort | quit | |
abound | are numerous | |
abrupt | sudden | |
absorb | appeal | learn/ take in |
abstract | not concrete | |
absurd | ridiculous | |
abundant | plentiful/ substantial | ample/ affluent |
accelerate | speed up | get faster |
accessible | available/ reachable | easy to obtain |
accidental | unintentional | unexpected |
acclaimed | praisable | |
accomodate | provide for | |
accompany | occur along with | |
accomplished | achieved | skilled |
accordingly | correspondingly | |
accounts for | explains | describe |
accumulated | collected | gather |
accumulation | build up/ deposits | increasing |
accustomed to | became used to | |
acquire | obtain | |
adept | skillful | |
adequately | sufficiently | |
adherent | supporter | advocate |
adjacent to | next to/ nearby | neighboring |
adjust | modify | |
administer | manage | |
admirably | very well | |
admiration for | high opinion of | respect |
admit | let in | |
advance | improvement | |
advantageous | beneficial | |
advent | arrival | beginning |
adverse | harmful | |
advocated | promoted | proponents |
affair | matter | event |
affectional tie | emotional attachment | |
afford | offer | provide |
aggravate | annoy | increase |
aggregate | combined/ group | overall |
agile | astute/ quick and active | clever |
air | feeling | |
alarm | sound | warning |
albeit | though | even though |
alleged | supposed | asserted |
alliances | partnerships | |
allied | related | |
allocation | distribution | |
allowing | enabling | |
allude | refer | suggest |
allusion | reference | |
ally with | link to | |
altered | transformed | changed |
alternate | take turns at | |
agencies | forces | |
agitated | created movement in | |
a glimpse into | a brief view of | |
amazing | remarkable | |
ambiguities | can be interpreted in more than one way | |
ambitious | impressive but difficult to achieve | |
ambivalent | mixed | |
ample | plenty | spacious |
analogous to | similar | |
ancestor | relative from an earlier generation | |
ancient | antique | old |
anomaly | irregularity | |
annihilate | completely remove | destroy |
annual | yearly | |
antagonist | competitor | rival |
antagonizing | angering | |
anticipate | expect | |
antithesis | opposite | |
anxiety | worry | |
apart from | besides | except for |
apparatus | equipment | device |
apparently | seemingly/ obviously | clearly seen in |
appealing | attractive | |
appearance | arrival/ rise | shown up |
application | use | |
appraisal | evaluation | |
appreciated | approved | |
appreciation | recognition | noticeable |
approach | come nearer to/ move toward | method |
appropriate | suitable | |
approximating | estimating | resembling |
approximately | roughtly | |
architecture | structure | |
archive | record | store |
arduous | difficult | |
are preserved | survive | |
arid | dry | |
arise | come about | emerge |
arrangement | configuration | |
array | range | |
article | item/ object | |
artificial | human-made | not real |
as a rule | in general | |
ascend | go up | climbing |
Intro
The TOEFL Synonym Match Dataset is a study resource specifically designed for TOEFL test takers,aimed at assisting candidates in expanding their vocabulary and enhancing their language proficiency.This dataset compiles common vocabulary and their synonyms frequently encountered in the TOEFL exam.By learning through comparison,test takers can gain a deeper understanding of the meanings and usage of words,enabling more precise synonym substitution during the exam.The TOEFL Synonym Match Dataset is not only suitable for TOEFL preparation but also for learners who wish to improve their English vocabulary level,making it an essential aid for TOEFL test takers and English learners alike.
Viewer
https://www.modelscope.cn/datasets/Genius-Society/wordlink/dataPeview
Maintenance
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/Genius-Society/wordlink
cd wordlink
Usage
from modelscope.msdatasets import MsDataset
ds = MsDataset.load("Genius-Society/wordlink", subset_name="default")
for item in ds["train"]:
print(item)
for item in ds["validation"]:
print(item)
for item in ds["test"]:
print(item)
Mirror
https://www.modelscope.cn/datasets/Genius-Society/wordlink
Reference
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