Hugging Face's logo

Datasets:
metaeval
/
acceptability-prediction

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Sub-tasks:
acceptability-classification
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet
MOP
stringclasses
3 values
language
stringclasses
7 values
text
stringlengths
10
200
length
int64
2
25
rating_list
stringlengths
22
96
mean_rating
float64
1
99.4
MOP_value
int64
2
100
normalized_score
float64
0
1
MOP2
adger-bad
There was him in the garden.
6
1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1
1.315789
2
0.105263
MOP2
adger-bad
The man I saw shaved myself.
6
1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4
1.45
2
0.15
MOP2
adger-bad
He analysis her was flawed.
5
1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 1, 1
1.6
2
0.2
MOP2
adger-bad
Danced extremely, Jerry frantically at the club.
7
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
She tried to left.
4
1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.166667
2
0.055556
MOP2
adger-bad
I’d planned to have finished, and have finished I did.
10
1, 1, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1
1.473684
2
0.157895
MOP2
adger-bad
The scissors is lost.
4
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
A book of my is on the desk.
8
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
I wondered who did Nancy poison.
6
1, 4, 4, 1, 4, 4, 1, 4, 1, 4, 1, 4, 1, 1, 4, 4, 4, 4, 4, 1
2.8
2
0.6
MOP2
adger-bad
What do you worry if the lawyer forgets at the office?
11
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1
1.176471
2
0.058824
MOP2
adger-bad
For to do that would be a mistake.
8
4, 1, 1, 4, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4
2.333333
2
0.444444
MOP2
adger-bad
Who did who poison?
4
1, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1, 1, 1, 1, 4, 4, 1, 4, 1
2.263158
2
0.421053
MOP2
adger-bad
Which the poem did Harry recite ?
6
1, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4
1.666667
2
0.222222
MOP2
adger-bad
Owners of a pig loves to eat truffles.
8
1, 4, 1, 4, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4
1.75
2
0.25
MOP2
adger-bad
The weather rained.
3
1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.157895
2
0.052632
MOP2
adger-bad
Elliot quickly may free the animals.
6
1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1
1.315789
2
0.105263
MOP2
adger-bad
Who did that Peter loved seem to be known by everyone?
11
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
George seek may Isabelle.
4
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
Jason didn’t arrived.
3
1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1
1.45
2
0.15
MOP2
adger-bad
There were killed three men by the assassin.
8
1, 1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.3
2
0.1
MOP2
adger-bad
The bear snuffleds.
3
1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1
1.5
2
0.166667
MOP2
adger-bad
Jason wondered whether that the potion was ready.
8
1, 1, 4, 1, 1, 4, 4, 4, 1, 1, 4, 1, 1, 4, 1, 1, 4, 4, 1
2.263158
2
0.421053
MOP2
adger-bad
Who did Anna introduce who to?
6
4, 4, 4, 4, 1, 4, 1, 1, 1, 4, 4, 1, 4, 4, 1, 1, 1, 1, 1
2.421053
2
0.473684
MOP2
adger-bad
Frantically at, Jerry danced extremely the club.
7
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
I believed she is pregnant.
5
1, 1, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 1, 1, 4, 4, 1
2.5
2
0.5
MOP2
adger-bad
I believed she may be pregnant.
6
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4
3.85
2
0.95
MOP2
adger-bad
She tried to may leave.
5
1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.157895
2
0.052632
MOP2
adger-bad
What George does is may seek Isabelle.
7
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
The pigs grunts.
3
1, 1, 4, 1, 1, 1, 1, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 1, 4
2.421053
2
0.473684
MOP2
adger-bad
Joe must should leave for work on time.
8
1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1
1.473684
2
0.157895
MOP2
adger-bad
Evan’s the idea is brilliant.
5
4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 4, 1
1.45
2
0.15
MOP2
adger-bad
The Evan’s idea is brilliant.
5
1, 4, 1, 4, 1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4
1.947368
2
0.315789
MOP2
adger-bad
Garry failed often calculus exams.
5
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 4, 1, 1, 1, 1
1.3
2
0.1
MOP2
adger-bad
Who did you ask who poisoned?
6
1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 4, 1
1.473684
2
0.157895
MOP2
adger-bad
The this man needs a taxi.
6
1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1
1.5
2
0.166667
MOP2
adger-bad
She tried to do leave.
5
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
Peter is the old pigs.
5
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1
1.157895
2
0.052632
MOP2
adger-bad
There was he in the garden.
6
1, 4, 4, 4, 4, 1, 1, 1, 1, 1, 4, 1, 1, 4, 1, 4, 4, 1, 1
2.263158
2
0.421053
MOP2
adger-bad
Laura tried the babysitter to bathe her children.
8
1, 4, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.333333
2
0.111111
MOP2
adger-bad
Peter is those pigs.
4
1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.15
2
0.05
MOP2
adger-bad
The clothes were stole.
4
1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.15
2
0.05
MOP2
adger-bad
Jason is having argued with Noel.
6
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
Letters the are on the table.
6
1, 4, 1, 4, 1, 4, 1, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 1
2.263158
2
0.421053
MOP2
adger-bad
The wedding was beautiful was claimed that by everyone.
9
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1
2
0
MOP2
adger-bad
The pig grunt.
3
1, 4, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.333333
2
0.111111
MOP2
adger-bad
Where place are you living?
5
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1
1.166667
2
0.055556
MOP2
adger-bad
What did Peter listen to Darren’s speech about?
8
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1
1.157895
2
0.052632
MOP2
adger-bad
Brian intended for he to learn magic.
7
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 1
1.15
2
0.05
MOP2
adger-bad
Brian intended for to learn magic.
6
1, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.157895
2
0.052632
MOP2
adger-bad
House the old collapsed.
4
1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.157895
2
0.052632
MOP2
adger-good
I’d planned to have finished, and finished I have.
9
4, 1, 4, 4, 1, 4, 4, 1, 1, 1, 4, 1, 4, 1, 1, 4, 4, 1, 4
2.578947
2
0.526316
MOP2
adger-good
She tried to leave.
4
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
There arrived a new actor on the set.
8
4, 1, 4, 1, 4, 1, 4, 4, 4, 1, 1, 1, 1, 4, 4, 1, 4, 1, 4, 1
2.5
2
0.5
MOP2
adger-good
Casey wanted to sleep and Marcy tried to as well.
10
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
I worry if the lawyer forgets his briefcase at the office.
11
4, 4, 1, 1, 4, 4, 4, 1, 1, 4, 4, 4, 4, 4, 1, 4, 4, 4
3.166667
2
0.722222
MOP2
adger-good
Three men were killed by the assassin.
7
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
No one expected to win.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4
3.842105
2
0.947368
MOP2
adger-good
Genie chanted that she was tired.
6
4, 1, 1, 4, 4, 4, 4, 1, 1, 4, 1, 4, 4, 4, 4, 4, 1, 4, 4
3.052632
2
0.684211
MOP2
adger-good
I might have been eating dinner.
6
4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.684211
2
0.894737
MOP2
adger-good
I wondered who Nancy poisoned.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Melissa seems to be happy.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
The pigs grunt.
3
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
What Brian intended was for him to learn magic.
9
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4
3.85
2
0.95
MOP2
adger-good
Humans love to eat the old pigs.
7
4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.8125
2
0.9375
MOP2
adger-good
It rained.
2
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Ryan has never flown an airplane.
6
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
George may seek Isabelle.
4
4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.842105
2
0.947368
MOP2
adger-good
There seems to be a man in the garden.
9
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Brian intended for him to learn magic.
7
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1
3.842105
2
0.947368
MOP2
adger-good
I worried after the lawyer forgot his briefcase at the office.
11
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
That Peter loved Amber was obvious.
6
4, 4, 4, 1, 4, 1, 1, 1, 4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4
3.1
2
0.7
MOP2
adger-good
The clothes were stolen.
4
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
This man needs a taxi.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Ryan did not fly the airplane.
6
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
What Jason wondered was whether the potion was ready.
9
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Benjamin gave it to Lee.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
I wondered if we could leave early.
7
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
I worried because the lawyer forgot his briefcase at the office.
11
4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4
3.666667
2
0.888889
MOP2
adger-good
The man I saw left.
5
4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.55
2
0.85
MOP2
adger-good
We all thought him to be unhappy.
7
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Who poisoned who?
3
4, 4, 4, 4, 4, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1
3.55
2
0.85
MOP2
adger-good
A program about Elephants is on channel 4 tonight.
9
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Owners of pigs love to eat truffles.
7
4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.833333
2
0.944444
MOP2
adger-good
I shaved myself.
3
4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.842105
2
0.947368
MOP2
adger-good
That Peter loved Amber seemed to be known by everyone.
10
1, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.526316
2
0.842105
MOP2
adger-good
Most horses have been domesticated.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
She has kissed her.
4
4, 4, 4, 1, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.684211
2
0.894737
MOP2
adger-good
Who did Nancy poison?
4
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
A book of mine is on the desk.
8
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1
3.833333
2
0.944444
MOP2
adger-good
The thief ran.
3
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Humans love to eat some happy pigs which can fly.
10
1, 4, 1, 1, 1, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
1.3
2
0.1
MOP2
adger-good
Benjamin said he would run away and run away he will.
11
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 1
3.842105
2
0.947368
MOP2
adger-good
That Jason had arrived annoyed Mandy.
6
4, 4, 1, 1, 4, 1, 4, 4, 1, 4, 4, 4, 4, 4, 1, 1, 4, 1
2.833333
2
0.611111
MOP2
adger-good
Laura tried to bathe her children.
6
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Which poem did Harry recite ?
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
It seems that Melissa is happy.
6
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
Elliot could quickly have freed the animals.
7
4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.842105
2
0.947368
MOP2
adger-good
At the club, Jerry danced extremely frantically.
7
4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
3.842105
2
0.947368
MOP2
adger-good
Evan’s idea is brilliant.
4
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
MOP2
adger-good
The horses had all escaped.
5
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
4
2
1
End of preview. Expand in Data Studio 
@inproceedings{lau-etal-2015-unsupervised,
    title = "Unsupervised Prediction of Acceptability Judgements",
    author = "Lau, Jey Han  and
      Clark, Alexander  and
      Lappin, Shalom",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P15-1156",
    doi = "10.3115/v1/P15-1156",
    pages = "1618--1628",
}
Downloads last month
18
Size of downloaded dataset files:
1.44 MB
Size of the auto-converted Parquet files:
742 kB
Number of rows:
8,050

Models trained or fine-tuned on metaeval/acceptability-prediction