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word1
stringlengths
2
14
word2
stringlengths
2
12
similarity
float32
0.23
9.8
old
new
1.58
smart
intelligent
9.2
hard
difficult
8.77
happy
cheerful
9.55
hard
easy
0.95
fast
rapid
8.75
happy
glad
9.17
short
long
1.23
stupid
dumb
9.58
weird
strange
8.93
wide
narrow
1.03
bad
awful
8.42
easy
difficult
0.58
bad
terrible
7.78
hard
simple
1.38
smart
dumb
0.55
insane
crazy
9.57
happy
mad
0.95
large
huge
9.47
hard
tough
8.05
new
fresh
6.83
sharp
dull
0.6
quick
rapid
9.7
dumb
foolish
6.67
wonderful
terrific
8.63
strange
odd
9.02
happy
angry
1.28
narrow
broad
1.18
simple
easy
9.4
old
fresh
0.87
apparent
obvious
8.47
inexpensive
cheap
8.72
nice
generous
5
weird
normal
0.72
weird
odd
9.2
bad
immoral
7.62
sad
funny
0.95
wonderful
great
8.05
guilty
ashamed
6.38
beautiful
wonderful
6.5
confident
sure
8.27
dumb
dense
7.27
large
big
9.55
nice
cruel
0.67
impatient
anxious
6.03
big
broad
6.73
strong
proud
3.17
unnecessary
necessary
0.63
restless
young
1.6
dumb
intelligent
0.75
bad
great
0.35
difficult
simple
0.87
necessary
important
7.37
bad
terrific
0.65
mad
glad
1.45
honest
guilty
1.18
easy
tough
0.52
easy
flexible
4.1
certain
sure
8.42
essential
necessary
8.97
different
normal
1.08
sly
clever
7.25
crucial
important
8.82
harsh
cruel
8.18
childish
foolish
5.5
scarce
rare
9.17
friendly
generous
5.9
fragile
frigid
2.38
long
narrow
3.57
big
heavy
6.18
rough
frigid
2.47
bizarre
strange
9.37
illegal
immoral
4.28
bad
guilty
4.2
modern
ancient
0.73
new
ancient
0.23
dull
funny
0.55
happy
young
2
easy
big
1.12
great
awful
1.17
tiny
huge
0.6
polite
proper
7.63
modest
ashamed
2.65
exotic
rare
8.05
dumb
clever
1.17
delightful
wonderful
8.65
noticeable
obvious
8.48
afraid
anxious
5.07
formal
proper
8.02
dreary
dull
8.25
delightful
cheerful
6.58
unhappy
mad
5.95
sad
terrible
5.4
sick
crazy
3.57
violent
angry
6.98
laden
heavy
5.9
dirty
cheap
1.6
elastic
flexible
7.78
hard
dense
5.9
recent
new
7.05
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SimLex-999 Dataset

This is the SimLex-999 dataset in Hugging Face datasets format.

Description

SimLex-999 is a gold standard resource for evaluating semantic similarity models.

Columns

  • word1: First word of the pair
  • word2: Second word of the pair
  • similarity: Human-annotated similarity score (0-10)

Reference

https://fh295.github.io/simlex.html

Usage

from datasets import load_dataset
dataset = load_dataset("Yuti/SimLex-999")
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