Sasidhar1826/fine-tuned-metaphor-detection
Text Classification
•
Updated
•
207
Sentence
stringlengths 7
53
| Label
int64 0
1
|
|---|---|
crack the whip | 1 |
blow off steam | 1 |
let the cat out of the bag | 1 |
They are riding bicycles in the neighborhood. | 0 |
He likes to watch movies in his free time. | 0 |
She enjoys painting in her free time. | 0 |
bite off more than you can chew | 1 |
my hands are tied | 1 |
dime a dozen | 1 |
They are having a picnic in the park. | 0 |
leave no stone unturned | 1 |
hold the fort | 1 |
He is putting the groceries away. | 0 |
fit as a fiddle | 1 |
an iron fist | 1 |
beggars can’t be choosers | 1 |
card up your sleeve | 1 |
beating around the bush | 1 |
She is giving a speech at the conference. | 0 |
She wrote a report for work. | 0 |
ace up your sleeve | 1 |
an open book | 1 |
She is giving a presentation at work. | 0 |
He went to a birthday party last night. | 0 |
color outside the lines | 1 |
easy as pie | 1 |
blind as a bat | 1 |
change of heart | 1 |
food for thought | 1 |
black as night | 1 |
a chip on your shoulder | 1 |
close to my heart | 1 |
apple of my eye | 1 |
get the show on the road | 1 |
easy as pie | 1 |
back to square one | 1 |
devil's advocate | 1 |
She went to the library to study. | 0 |
fit as a fiddle | 1 |
They went to the theater to watch a play. | 0 |
falling through the cracks | 1 |
She made breakfast for the family. | 0 |
She is talking on the phone. | 0 |
all bark and no bite | 1 |
apple of discord | 1 |
spill the beans | 1 |
burn your bridges | 1 |
I need to buy groceries this afternoon. | 0 |
as bold as brass | 1 |
close to the vest | 1 |
blood is thicker than water | 1 |
back to the drawing board | 1 |
She went to the post office to send a package. | 0 |
as right as rain | 1 |
He is planning his day ahead. | 0 |
She took a shower in the morning. | 0 |
best of both worlds | 1 |
antsy as a cat on a hot tin roof | 1 |
He is building a model airplane. | 0 |
devil's advocate | 1 |
burst your bubble | 1 |
all eyes on you | 1 |
a skeleton in the closet | 1 |
He is attending a business meeting. | 0 |
cool as a cucumber | 1 |
He took the bus to work. | 0 |
as easy as pie | 1 |
butterfly effect | 1 |
They watched a TV show in the evening. | 0 |
She is brushing her teeth before bed. | 0 |
blown out of the water | 1 |
He is feeding his pet hamster. | 0 |
I like to drink coffee in the morning. | 0 |
another day, another dollar | 1 |
actions speak louder than words | 1 |
climbing up the ladder | 1 |
early bird catches the worm | 1 |
She is baking cookies in the kitchen. | 0 |
bleeding heart | 1 |
She is cleaning the kitchen after dinner. | 0 |
She is drinking water. | 0 |
They are having coffee at the café. | 0 |
hard pill to swallow | 1 |
a slap on the wrist | 1 |
They are visiting a museum this afternoon. | 0 |
They are swimming at the pool. | 0 |
cat on a hot tin roof | 1 |
She is talking to her friend on the phone. | 0 |
He is walking his dog in the park. | 0 |
add fuel to the fire | 1 |
in hot water | 1 |
boiling point | 1 |
beat a dead horse | 1 |
blind alley | 1 |
cutting corners | 1 |
actions speak louder than words | 1 |
chip on the shoulder | 1 |
He washed his car yesterday. | 0 |
cold as ice | 1 |
He is attending a wedding. | 0 |
End of preview. Expand
in Dataset Viewer.
README.md exists but content is empty.
Use the Edit dataset card button to edit it.
- Downloads last month
- 19
Size of downloaded dataset files:
13.8 kB
Size of the auto-converted Parquet files:
13.8 kB
Number of rows:
718
Models trained or fine-tuned on Sasidhar1826/manual_data_on_metaphors