Datasets:

sentence-transformers
/

all-nli

anchor stringlengths 5 1.82k	positive stringlengths 1 351
A person on a horse jumps over a broken down airplane.	A person is outdoors, on a horse.
Children smiling and waving at camera	There are children present
A boy is jumping on skateboard in the middle of a red bridge.	The boy does a skateboarding trick.
Two blond women are hugging one another.	There are women showing affection.
A few people in a restaurant setting, one of them is drinking orange juice.	The diners are at a restaurant.
An older man is drinking orange juice at a restaurant.	A man is drinking juice.
A man with blond-hair, and a brown shirt drinking out of a public water fountain.	A blond man drinking water from a fountain.
Two women who just had lunch hugging and saying goodbye.	There are two woman in this picture.
Two women, holding food carryout containers, hug.	Two women hug each other.
A Little League team tries to catch a runner sliding into a base in an afternoon game.	A team is trying to tag a runner out.
The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.	A school is hosting an event.
High fashion ladies wait outside a tram beside a crowd of people in the city.	Women are waiting by a tram.
A man, woman, and child enjoying themselves on a beach.	A family of three is at the beach.
People waiting to get on a train or just getting off.	There are people just getting on a train
People waiting to get on a train or just getting off.	There are people waiting on a train.
A couple playing with a little boy on the beach.	A couple are playing with a young child outside.
A couple play in the tide with their young son.	The family is outside.
A man and a woman cross the street in front of a pizza and gyro restaurant.	Near a couple of restaurants, two people walk across the street.
A woman in a green jacket and hood over her head looking towards a valley.	The woman is wearing green.
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.	A woman in white.
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.	A man is advertising for a restaurant.
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.	The woman is wearing white.
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.	They are walking with a sign.
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.	The woman and man are outdoors.
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.	The adults are both male and female.
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.	Two adults walk across a street.
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.	Two people walk away from a restaurant across a street.
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.	Two adults walk across the street.
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.	Two adults walking across a road
A woman wearing all white and eating, walks next to a man holding a briefcase.	A female is next to a man.
A woman is walking across the street eating a banana, while a man is following with his briefcase.	A woman eats a banana and walks across a street, and there is a man trailing behind her.
A woman is walking across the street eating a banana, while a man is following with his briefcase.	A person eating.
A woman is walking across the street eating a banana, while a man is following with his briefcase.	a woman eating a banana crosses a street
A woman is walking across the street eating a banana, while a man is following with his briefcase.	The woman is eating a banana.
A woman is walking across the street eating a banana, while a man is following with his briefcase.	the woman is outside
A skier slides along a metal rail.	A skier is near the rail.
A person on skis on a rail at night.	The person skiis
A skier in electric green on the edge of a ramp made of metal bars.	The brightly dressed skier slid down the race course.
A yellow uniformed skier is performing a trick across a railed object.	Somebody is engaging in winter sports.
A blond man is drinking from a public fountain.	The man is drinking water.
Wet brown dog swims towards camera.	A dog is in the water.
Closeup image of a dog swimming.	A dog swims in a body of water.
The furry brown dog is swimming in the ocean.	A dog is swimming.
A big brown dog swims towards the camera.	A dog swims towards the camera.
A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.	The man with the gray hat and pitchfork is directing the cart.
A man is leading a Clydesdale up a hay road, within a Old Country.	A man is walking with his horse up a country road.
A farmer fertilizing his garden with manure with a horse and wagon.	The man is fertilizering his garden.
A white horse is pulling a cart while a man stands and watches.	An animal is walking outside.
A small group of church-goers watch a choir practice.	A group watches a practice.
A dog drops a red disc on a beach.	a dog drops a red disc
A man and a woman are walking on a street at the top of a hill.	A man and woman walk on a street.
An elderly man is drinking orange juice at a cafe.	An old man is enjoying a beverage at a cafe.
A couple holding hands walks down a street.	People are holding hands and walking.
A couple walk through a white brick town.	People are walking outdoors.
Children going home from school.	The school children head home.
People listening to a choir in a Catholic church.	Choir singing in mass.
Bicyclists waiting at an intersection.	The bicyclists are outside.
Bicyclists waiting at an intersection.	The bicycles are on a road.
Bicyclists waiting at an intersection.	A person on a bike is near a street.
Bicyclists waiting at an intersection.	Bikers stop and wait for traffic at the intersection.
Bicyclists waiting at an intersection.	Bicyclists waiting their turn to cross.
People waiting at a light on bikes.	People with bikes.
People waiting at a light on bikes.	There are some people outside.
People waiting at a light on bikes.	People are on their bikes.
People waiting at a light on bikes.	The people are on bikes.
People waiting at a light on bikes.	Men and women outside on a street corner.
People on bicycles waiting at an intersection.	People are riding their bicycles.
People on bicycles waiting at an intersection.	People wait on traffic.
People on bicycles waiting at an intersection.	There are bicyclists stopped at a road.
People on bicycles waiting at an intersection.	More than one person on a bicycle is obeying traffic laws.
People on bicycles waiting at an intersection.	There are people on bicycles.
A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.	A cart is full of items.
A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.	A man watches another man.
A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.	Someone is on top of a cart full of items, while someone else observes.
A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.	A man is standing on top of a cart.
A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.	The cart is filled to the top.
A boy is drinking out of a water fountain shaped like a woman.	A male is getting a drink of water.
three bikers stop in town.	Bikers stop in towns
three bikers stop in town.	A town has witnessed the arrival of three bikers.
three bikers stop in town.	Bikers stop for gas
three bikers stop in town.	The bikers are in the town.
three bikers stop in town.	A group of bikers are in the street.
Two people loading brush on a trailer attached to a truck.	A couple of people are loading brush onto a trailer that is attached to a truck.
A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.	a bearded man pulls a rope
A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.	A man pulls on a rope.
A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.	A bearded man is pulling on a rope.
A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.	A man is pulling on a rope.
A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.	The man is able to grow a beard.
A man with facial hair and a red and gray shirt tugging on a piece of rope.	A man has facial hair.
A middle-aged oriental woman in a green headscarf and blue shirt is flashing a giant smile.	A middle aged oriental woman in a green headscarf and blue shirt is flashing a giant smile
An Asian woman in a blue top and green headscarf smiling widely as another woman rows a boat in the background.	An Asian woman is smiling at while another lady is rowing.
A boat worker securing line.	A worker is doing something to a boat.
A small girl with a necklace is swimming.	A small girl with a necklace is in the water
a skateboarder skates in the pool.	A skater is in the pool.
A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization "Save the Children."	A couple carrying a child are walking along water.
There is a woman holding a baby, along with a man with a save the children bag.	A group of people are possing for an add.
A family with a baby, the father is wearing a save the children sign.	A man is wearing something with writing on it.
A foreign family is walking along a dirt path next to the water.	A foreign family walks by a dirt trail along a body of water.
A foreign family is walking along a dirt path next to the water.	The family is admiring the water
A foreign family is walking along a dirt path next to the water.	A family of foreigners walks by the water.

End of preview. Expand in Dataset Viewer.

Dataset Card for AllNLI

This dataset is a concatenation of the SNLI and MultiNLI datasets. Despite originally being intended for Natural Language Inference (NLI), this dataset can be used for training/finetuning an embedding model for semantic textual similarity.

Dataset Subsets

`pair-class` subset

Columns: "premise", "hypothesis", "label"
Column types: str, str, class with {"0": "entailment", "1": "neutral", "2", "contradiction"}

Examples:

{
  'premise': 'A person on a horse jumps over a broken down airplane.',
  'hypothesis': 'A person is training his horse for a competition.',
  'label': 1,
}

Collection strategy: Reading the premise, hypothesis and integer label from SNLI & MultiNLI datasets.
Deduplified: Yes

`pair-score` subset

Columns: "sentence1", "sentence2", "score"
Column types: str, str, float

Examples:

{
  'sentence1': 'A person on a horse jumps over a broken down airplane.',
  'sentence2': 'A person is training his horse for a competition.',
  'score': 0.5,
}

Collection strategy: Taking the pair-class subset and remapping "entailment", "neutral" and "contradiction" to 1.0, 0.5 and 0.0, respectively.
Deduplified: Yes

`pair` subset

Columns: "anchor", "positive"
Column types: str, str

Examples:

{
  'anchor': 'A person on a horse jumps over a broken down airplane.',
  'positive': 'A person is training his horse for a competition.',
}

Collection strategy: Reading the SNLI & MultiNLI datasets and considering the "premise" as the "anchor" and the "hypothesis" as the "positive" if the label is "entailment". The reverse ("entailment" as "anchor" and "premise" as "positive") is not included.
Deduplified: Yes

`triplet` subset

Columns: "anchor", "positive", "negative"
Column types: str, str, str

Examples:

{
  'anchor': 'A person on a horse jumps over a broken down airplane.',
  'positive': 'A person is outdoors, on a horse.',
  'negative': 'A person is at a diner, ordering an omelette.',
}

Collection strategy: Reading the SNLI & MultiNLI datasets, for each "premise" making a list of entailing and contradictory sentences using the dataset labels. Then, considering all possible triplets out of these entailing and contradictory lists. The reverse ("entailment" as "anchor" and "premise" as "positive") is not included.
Deduplified: Yes