Datasets:
LookingtoLearn
/
Concreteness-Ratings

Dataset card Data Studio Files
xet
Community
1
Word
string
Bigram
int64
Conc.M
float64
Conc.SD
float64
Unknown
int64
Total
int64
Percent_known
float64
SUBTLEX
int64
track down
1
2.65
1.32
1
27
0.96
0
track record
1
3.15
1.43
0
27
1
0
trade balance
1
3.1
1.65
0
29
1
0
trade deficit
1
2.73
1.4
2
28
0.93
0
trade union
1
3.93
1.25
1
29
0.97
0
traffic control
1
3.39
1.29
0
28
1
0
traffic cop
1
4.86
0.35
0
29
1
0
traffic jam
1
4.25
1
0
28
1
0
traffic light
1
4.66
0.97
0
29
1
0
traffic lights
1
5
0
1
30
0.97
0
traffic signal
1
4.96
0.19
0
28
1
0
train set
1
4.86
0.36
0
28
1
0
train station
1
4.87
0.57
0
30
1
0
training program
1
3.52
1.58
0
27
1
0
trash bin
1
4.93
0.26
0
28
1
0
trash can
1
4.96
0.2
0
25
1
0
travel agency
1
4.14
1.3
1
29
0.97
0
travel agent
1
4.72
0.53
0
29
1
0
treasure hunt
1
3.89
1.09
0
27
1
0
treasure trove
1
4.11
1.47
0
28
1
0
tree house
1
4.7
0.54
0
27
1
0
tree line
1
4.43
0.77
0
30
1
0
tree stump
1
4.59
1.01
0
27
1
0
tree trunk
1
4.97
0.18
0
30
1
0
trench coat
1
5
0
0
30
1
0
tribal chief
1
4.32
0.9
1
29
0.97
0
trojan horse
1
4.04
1.4
1
27
0.96
0
trolley car
1
4.78
0.8
0
27
1
0
truck driver
1
4.79
0.63
0
28
1
0
truck stop
1
4.75
0.75
0
28
1
0
trump card
1
3.19
1.63
1
27
0.96
0
try out
1
2.74
1.43
0
27
1
0
tube top
1
4.86
0.74
0
29
1
0
tuck in
1
3.4
1.5
0
25
1
0
tumble dryer
1
4.77
0.57
0
30
1
0
tuna fish
1
4.79
0.5
0
28
1
0
tuning fork
1
4.93
0.38
2
29
0.93
0
tunnel vision
1
2.86
1.41
0
29
1
0
turn around
1
3.8
1.32
0
30
1
0
turn away
1
3.56
1.34
0
27
1
0
turn back
1
3.39
1.4
0
28
1
0
turn down
1
2.59
1.45
0
29
1
0
turn off
1
3.33
1.54
0
30
1
0
turn on
1
3.71
1.36
0
28
1
0
turn out
1
2.89
1.55
0
28
1
0
turn over
1
3.93
1.36
0
29
1
0
turn signal
1
4.79
0.62
0
29
1
0
turn up
1
2.97
1.38
1
32
0.97
0
turning point
1
2.27
1.34
0
26
1
0
tv set
1
4.93
0.38
0
28
1
0
tv show
1
4.47
0.73
0
30
1
0
tv station
1
4.25
1.17
0
28
1
0
twin bed
1
4.85
0.46
1
27
0.96
0
two step
1
3.91
1.27
1
23
0.96
0
umbilical cord
1
4.86
0.58
0
29
1
0
under control
1
2.07
1.07
0
29
1
0
under fire
1
3.19
1.42
0
27
1
0
undercover agent
1
4.29
1.21
0
28
1
0
unheard of
1
2
1.05
0
28
1
0
upper case
1
4.03
1.27
0
29
1
0
upper class
1
2.93
1.41
0
28
1
0
upper hand
1
2.46
1.4
0
28
1
0
upside down
1
4.07
1.13
0
29
1
0
urban myth
1
1.97
0.91
0
29
1
0
urinary tract
1
4.41
1.08
0
27
1
0
user friendly
1
2.52
1.33
0
25
1
0
user interface
1
3.27
1.46
1
27
0.96
0
usher in
1
2.89
1.37
0
27
1
0
vacuum cleaner
1
4.61
0.96
0
28
1
0
vacuum pump
1
4.69
0.89
0
29
1
0
value system
1
2.28
1.44
0
29
1
0
vanity fair
1
3.52
1.56
2
27
0.93
0
vantage point
1
3.3
1.35
0
27
1
0
vegetable oil
1
4.93
0.26
0
29
1
0
vending machine
1
4.9
0.31
0
29
1
0
Vice President
1
4.31
1.23
0
29
1
0
vice squad
1
4.31
1.23
4
30
0.87
0
vicious circle
1
2.17
1.44
0
29
1
0
video camera
1
4.9
0.41
0
29
1
0
video game
1
4.79
0.56
0
29
1
0
video recording
1
4.33
1
0
27
1
0
village green
1
4.04
1.4
2
28
0.93
0
village idiot
1
4.17
1.12
0
30
1
0
vintage car
1
4.76
0.58
0
29
1
0
virtual reality
1
2.76
1.5
1
30
0.97
0
virus infection
1
3.52
1.36
0
25
1
0
visual field
1
3.39
1.4
0
28
1
0
visual impairment
1
3.36
1.42
0
28
1
0
visually impaired
1
3.46
1.37
0
28
1
0
voice over
1
3.93
1.33
0
27
1
0
waffle iron
1
5
0
0
27
1
0
wagon wheel
1
4.75
0.84
0
28
1
0
waiting list
1
3.93
1.3
0
28
1
0
waiting room
1
4.48
1.09
0
31
1
0
wake up
1
3.38
1.35
0
29
1
0
wake-up call
1
3.96
1.34
0
25
1
0
walk on
1
3.31
1.32
1
27
0.96
0
walk out
1
3.48
1.35
0
29
1
0
walk over
1
3.81
1.44
0
26
1
0
walking stick
1
4.85
0.46
0
27
1
0