Dataset Viewer
sentence1
stringlengths 10
125
| sentence2
stringlengths 11
134
| gold_label
stringclasses 2
values | genre
stringlengths 18
54
|
|---|---|---|---|
Colourless is a world without language.
|
The absence of color and the senses is a world without language.
|
neutral
|
crowd:downward_monotone:conjunction
|
Colourless is a world without language.
|
A life without colors that make our lives happy is a world without language.
|
neutral
|
crowd:downward_monotone
|
I want to become a singer, at any cost.
|
I want to become a bad boy.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Some people say thirteen is an unlucky number.
|
Some people say thirteen is an unlucky date to propose a girl.
|
neutral
|
crowd:upward_monotone
|
Nancy can't decide anything for herself.
|
My friend can't decide anything for herself.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:npi
|
Nancy can't decide anything for herself.
|
This man can't decide anything for herself.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:npi
|
Jack doesn't drive fast.
|
That man doesn't drive fast.
|
neutral
|
crowd:upward_monotone:anaphora
|
Some children learn languages easily and others with difficulty.
|
Some children learn math easily and others with difficulty.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
I can not do without sugar in my coffee.
|
I can not do without milk in my coffee.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
I can not do without sugar in my coffee.
|
I can not do without lemon in my coffee.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
Some Germans work for only one euro an hour.
|
Some Germans work for only one euro an hour without holiday pay.
|
neutral
|
crowd:upward_monotone
|
Some Germans work for only one euro an hour without holiday pay.
|
Some Germans work for only one euro an hour.
|
entailment
|
crowd:upward_monotone
|
You can't live without oxygen.
|
You can't live without the atmosphere.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
You can't live without oxygen.
|
You can't live without food.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
You can't live without oxygen.
|
You can't live without house.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
Every sentence in that book is important.
|
Every sentence in that syllabus book is important.
|
neutral
|
crowd:upward_monotone
|
Every sentence in that syllabus book is important.
|
Every sentence in that book is important.
|
entailment
|
crowd:upward_monotone
|
Hysteria is no laughing matter.
|
Frenzy is no laughing matter.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Hysteria is no laughing matter.
|
Wildness is no laughing matter.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
All is in the hands of man, therefore wash them often.
|
All is in the hands of different entity, therefore wash them often.
|
neutral
|
crowd:upward_monotone
|
All is in the hands of man, therefore wash them often.
|
They will always be in the hands of man.
|
neutral
|
crowd:upward_monotone
|
Some flowers bloom in spring and others in autumn.
|
Some rose flowers bloom in spring and others in autumn.
|
neutral
|
crowd:upward_monotone
|
Things didn't go well.
|
That stuff didn't go well.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
All the players were in position.
|
All the players were in defending position.
|
neutral
|
crowd:upward_monotone
|
All the players were in defending position.
|
All the players were in position.
|
entailment
|
crowd:upward_monotone
|
All the players were in position.
|
All the players were in its place.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Life can not exist without water.
|
Forests can not exist without water.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
Life can not exist without water.
|
The rivers can not exist without water.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
Life can not exist without water.
|
The sea can not exist without water.
|
neutral
|
crowd:upward_monotone:lexical_knowledge:reverse
|
Wet firewood doesn't burn well.
|
Wet firewood and carbon doesn't burn well.
|
neutral
|
crowd:upward_monotone:conjunction
|
Wet firewood and carbon doesn't burn well.
|
Wet firewood doesn't burn well.
|
entailment
|
crowd:upward_monotone:conjunction
|
I have French nationality but vietnamese origins.
|
I have French nationality, but jewish blood flows in me.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
I have French nationality but vietnamese origins.
|
I have French nationality, but my father is from guinea.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
All the schools are closed on that holiday.
|
All the schools are closed on that summer holiday.
|
neutral
|
crowd:upward_monotone
|
All the schools are closed on that holiday.
|
All the schools are closed on that thanksgiving holiday.
|
neutral
|
crowd:upward_monotone
|
It is a great pity that you don't know it.
|
It is a great person on the inside.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
That was a fight which had no chance of a successful outcome.
|
That was a dilemma which had no chance of a successful outcome.
|
neutral
|
crowd:downward_monotone:lexical_knowledge
|
He expressed his opinion in a few words.
|
He expressed his opinion in a few paragraphs.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Tom swims every other day.
|
Tom swims in pool every other day.
|
neutral
|
crowd:upward_monotone
|
Tom swims in pool every other day.
|
Tom swims every other day.
|
entailment
|
crowd:upward_monotone
|
Tom swims every other day.
|
Tom swims freestyle every other day.
|
neutral
|
crowd:upward_monotone
|
Tom goes to bed at the same time every night.
|
Tom goes to cook to drink water at the same time every night.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Tom goes to bed at the same time every night.
|
Tom goes to the shower at the same time every night.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Tom goes to bed at the same time every night.
|
Tom goes to garage at the same time every night.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Tom goes to bed at the same time every night.
|
Tom goes to barn at the same time every night.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Tom goes to bed at the same time every night.
|
Tom goes to rachel's bed at the same time every night.
|
neutral
|
crowd:upward_monotone
|
A squirrel is taking a bath in the pond.
|
A squirrel in summer is taking a bath in the pond.
|
neutral
|
crowd:upward_monotone
|
A squirrel in summer is taking a bath in the pond.
|
A squirrel is taking a bath in the pond.
|
entailment
|
crowd:upward_monotone
|
Tom and Mary were speaking to each other in a language i didn't recognize.
|
Tom and Mary were speaking to each other in a recognizable language i didn't recognize.
|
neutral
|
crowd:downward_monotone
|
The office was small but it had a view of the city.
|
The office was small but it had a smell of the city.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
There is no accounting for taste.
|
There is no accounting for unique.
|
neutral
|
crowd:downward_monotone:lexical_knowledge
|
There is no accounting for taste.
|
There is no accounting for taste and hobbies.
|
neutral
|
crowd:downward_monotone:conjunction
|
Every one but Jim came.
|
Every one but lazy Jim came.
|
neutral
|
crowd:upward_monotone:reverse
|
Every one but lazy Jim came.
|
Every one but Jim came.
|
entailment
|
crowd:upward_monotone:reverse
|
Every one but Jim came.
|
Every one but Jim who was busy that day came.
|
neutral
|
crowd:upward_monotone:reverse
|
Every one but Jim who was busy that day came.
|
Every one but Jim came.
|
entailment
|
crowd:upward_monotone:reverse
|
Every one but Jim came.
|
Every one but Jim and his wives came.
|
neutral
|
crowd:upward_monotone:reverse:conjunction
|
Every one but Jim and his wives came.
|
Every one but Jim came.
|
entailment
|
crowd:upward_monotone:reverse:conjunction
|
There is a glass sculpture in the garden.
|
There is a beautifull glass sculpture in the play ground.
|
neutral
|
crowd:upward_monotone
|
There is a beautiful glass sculpture in the play ground.
|
There is a glass sculpture in the garden.
|
entailment
|
crowd:upward_monotone
|
There is a glass sculpture in the garden.
|
There is a glass bird sculpture in the garden.
|
neutral
|
crowd:upward_monotone
|
There is a glass bird sculpture in the garden.
|
There is a glass sculpture in the garden.
|
entailment
|
crowd:upward_monotone
|
There is a glass sculpture in the garden.
|
There is a little glass sculpture in the garden.
|
neutral
|
crowd:upward_monotone
|
There is a little glass sculpture in the garden.
|
There is a glass sculpture in the garden.
|
entailment
|
crowd:upward_monotone
|
A cow chases away flies with its tail.
|
A heifer chases away flies with its tail.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Brian bought a lipstick for Kate.
|
Brian bought a lipstick for his sister Kate.
|
neutral
|
crowd:upward_monotone
|
Brian bought a lipstick for her sister Kate.
|
Brian bought a lipstick for Kate.
|
entailment
|
crowd:upward_monotone
|
Brian bought a lipstick for Kate.
|
Brian bought a lipstick for his wife.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Brian bought a lipstick for Kate.
|
Brian bought a lipstick for his partner.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
There's a cat on the desk.
|
There's a big and old cat on the desk.
|
neutral
|
crowd:upward_monotone:conjunction
|
There's a big and old cat on the desk.
|
There's a cat on the desk.
|
entailment
|
crowd:upward_monotone:conjunction
|
There's a cat on the desk.
|
There's a big chubby cat on the desk.
|
neutral
|
crowd:upward_monotone
|
There's a big chubby cat on the desk.
|
There's a cat on the desk.
|
entailment
|
crowd:upward_monotone
|
She bought him a dog.
|
When she came back from the trip she bought him a gift.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She bought him a dog.
|
She bought him a big dog.
|
neutral
|
crowd:upward_monotone
|
She bought him a big dog.
|
She bought him a dog.
|
entailment
|
crowd:upward_monotone
|
She has been studying French for a few years.
|
She has been studying astro physics for a few years.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She has been studying French for a few years.
|
She has been studying some foreign languages like korean for a few years.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She has been studying French for a few years.
|
She has been studying caribbean language for a few years.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She gave a cat some milk.
|
She gave a dog some milk.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She gave a cat some milk.
|
She gave a cub some milk.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
She gave a cat some milk.
|
She gave an adult cat some milk.
|
neutral
|
crowd:upward_monotone
|
She gave an adult cat some milk.
|
She gave a cat some milk.
|
entailment
|
crowd:upward_monotone
|
She gave a cat some milk.
|
She gave a monkey some milk.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
He spent a few months in Scotland.
|
He spent a few months in wales.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
He spent a few months in Scotland.
|
He spent a few months in madrid.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
A lot of students around the world are studying English.
|
A lot of students around the world are studying English for better incomes and salaries.
|
neutral
|
crowd:upward_monotone:conjunction
|
A lot of students around the world are studying English for better incomes and salaries.
|
A lot of students around the world are studying English.
|
entailment
|
crowd:upward_monotone:conjunction
|
There are some apples in that box.
|
There are some pears in that box.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
There are some apples in that box.
|
There are some lemons in that box.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
There are some apples in that box.
|
There are some bananas in that box.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
A dog chased a cat.
|
A fat dog chased a cat.
|
neutral
|
crowd:upward_monotone
|
A fat dog chased a cat.
|
A dog chased a cat.
|
entailment
|
crowd:upward_monotone
|
I bought a few stamps.
|
I bought a few pesos.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
I bought a few stamps.
|
I bought a few posts.
|
neutral
|
crowd:upward_monotone:lexical_knowledge
|
Nikos Kourkoulos was a greek actor.
|
Nikos Kourkoulos, who grew up in the athens district of zografou, was a greek actor.
|
neutral
|
crowd:upward_monotone
|
They're digging a hole.
|
They're digging a hole in the park.
|
neutral
|
crowd:upward_monotone
|
They're digging a hole in the park.
|
They're digging a hole.
|
entailment
|
crowd:upward_monotone
|
They're digging a hole.
|
They're digging a huge hole.
|
neutral
|
crowd:upward_monotone
|
They're digging a huge hole.
|
They're digging a hole.
|
entailment
|
crowd:upward_monotone
|
End of preview. Expand
in Data Studio
Dataset Card for "med"
Crowsourced (=original part) of the MED dataset for Monotonicity Entailment https://github.com/verypluming/MED
@inproceedings{yanaka-etal-2019-neural,
title = "Can Neural Networks Understand Monotonicity Reasoning?",
author = "Yanaka, Hitomi and
Mineshima, Koji and
Bekki, Daisuke and
Inui, Kentaro and
Sekine, Satoshi and
Abzianidze, Lasha and
Bos, Johan",
booktitle = "Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP",
year = "2019",
pages = "31--40",
}
- Downloads last month
- 13