Datasets:

sentence-transformers
/

stsb

sentence1 stringlengths 16 368	sentence2 stringlengths 15 311	score float64 0 1
A plane is taking off.	An air plane is taking off.	1
A man is playing a large flute.	A man is playing a flute.	0.76
A man is spreading shreded cheese on a pizza.	A man is spreading shredded cheese on an uncooked pizza.	0.76
Three men are playing chess.	Two men are playing chess.	0.52
A man is playing the cello.	A man seated is playing the cello.	0.85
Some men are fighting.	Two men are fighting.	0.85
A man is smoking.	A man is skating.	0.1
The man is playing the piano.	The man is playing the guitar.	0.32
A man is playing on a guitar and singing.	A woman is playing an acoustic guitar and singing.	0.44
A person is throwing a cat on to the ceiling.	A person throws a cat on the ceiling.	1
The man hit the other man with a stick.	The man spanked the other man with a stick.	0.84
A woman picks up and holds a baby kangaroo.	A woman picks up and holds a baby kangaroo in her arms.	0.92
A man is playing a flute.	A man is playing a bamboo flute.	0.77
A person is folding a piece of paper.	Someone is folding a piece of paper.	0.93
A man is running on the road.	A panda dog is running on the road.	0.33
A dog is trying to get bacon off his back.	A dog is trying to eat the bacon on its back.	0.75
The polar bear is sliding on the snow.	A polar bear is sliding across the snow.	1
A woman is writing.	A woman is swimming.	0.1
A cat is rubbing against baby's face.	A cat is rubbing against a baby.	0.76
The man is riding a horse.	A man is riding on a horse.	1
A man pours oil into a pot.	A man pours wine in a pot.	0.64
A man is playing a guitar.	A girl is playing a guitar.	0.56
A panda is sliding down a slide.	A panda slides down a slide.	0.92
A woman is eating something.	A woman is eating meat.	0.6
A woman peels a potato.	A woman is peeling a potato.	1
The boy fell off his bike.	A boy falls off his bike.	0.96
The woman is playing the flute.	A woman is playing a flute.	1
A rabbit is running from an eagle.	A hare is running from a eagle.	0.84
The woman is frying a breaded pork chop.	A woman is cooking a breaded pork chop.	0.84
A girl is flying a kite.	A girl running is flying a kite.	0.8
A man is riding a mechanical bull.	A man rode a mechanical bull.	0.8
The man is playing the guitar.	A man is playing a guitar.	0.98
A woman is dancing and singing with other women.	A woman is dancing and singing in the rain.	0.6
A man is slicing a bun.	A man is slicing an onion.	0.48
A man is pouring oil into a pan.	A man is pouring oil into a skillet.	0.84
A lion is playing with people.	A lion is playing with two men.	0.68
A dog rides a skateboard.	A dog is riding a skateboard.	1
Someone is carving a statue.	A man is carving a statue.	0.75
A woman is slicing an onion.	A man is cutting an onion.	0.55
A woman peels shrimp.	A woman is peeling shrimp.	1
A woman is frying fish.	A woman is cooking fish.	0.8
A woman is playing an electric guitar.	A woman is playing a guitar.	0.72
A baby tiger is playing with a ball.	A baby is playing with a doll.	0.32
A person is slicing a tomato.	A person is slicing some meat.	0.35
A person cuts an onion.	A person is cutting an onion.	1
A man is playing the piano.	A woman is playing the violin.	0.2
A woman is playing the flute.	A man is playing the guitar.	0.2
A man is cutting up a potato.	A man is cutting up carrots.	0.47
A kid is playing guitar.	A boy is playing a guitar.	0.76
A boy is playing guitar.	A man is playing a guitar.	0.64
A man is playing guitar.	A boy is playing a guitar.	0.64
A little boy is playing a keyboard.	A boy is playing key board.	0.88
A man is playing a guitar.	A man is playing an electric guitar.	0.75
A dog licks a baby.	A dog is licking a baby.	0.95
A woman is slicing an onion.	A man is cutting and onion.	0.64
A man is playing the guitar.	A man is playing the drums.	0.31
A woman is slicing a pepper.	A woman is cutting a red pepper.	0.79
A man is playing the drums.	A man plays the drum.	1
A woman rides a horse.	A woman is riding a horse.	1
A man is eating a banana by a tree.	A man is eating a banana.	0.8
A cat is playing a key board.	A man is playing two keyboards.	0.32
A man chops down a tree with an axe.	A man cut a tree with an axe.	0.95
A kid plays with a toy phone.	A little boy plays with a toy phone.	0.7
A man is riding a motorcycle.	A man is riding a horse.	0.28
A man is riding a motorcycle.	A man is riding a horse.	0.28
A squirrel is spinning around in circles.	A squirrel runs around in circles.	0.8
A man and a woman are kissing.	A man and woman kiss.	1
A man is getting into a car.	A man is getting into a car in a garage.	0.77
A man is dancing.	A man is talking.	0.12
A man is playing the guitar and singing.	A man is playing the guitar.	0.58
A person is cutting mushrooms.	A person is cutting mushrooms with a knife.	0.84
A tiger cub is making a sound.	A tiger is walking around.	0.4
A person is slicing onions.	A person is peeling an onion.	0.52
A man is playing the piano.	A man is playing the trumpet.	0.32
A woman is peeling a potato.	A woman is peeling an apple.	0.4
A pankda is eating bamboo.	A panda bear is eating some bamboo.	0.84
A person is peeling an onion.	A person is peeling an eggplant.	0.4
A monkey pushes another monkey.	The monkey pushed the other monkey.	0.96
A squirrel runs around in circles.	A squirrel is moving in circles.	0.88
A man is tying his shoe.	A man ties his shoe.	1
A boy is singing and playing the piano.	A boy is playing the piano.	0.6
A dog is eating water melon.	A dog is eating a piece of watermelon.	0.85
A woman is chopping broccoli.	A woman is chopping broccoli with a knife.	0.85
A man is peeling a potato.	A man peeled a potatoe.	0.76
A woman is playing a guitar.	A man plays a guitar.	0.48
A woman is slicing tomato.	A man is slicing onion.	0.32
A man swims underwater.	A woman is swimming underwater.	0.4
A man and woman are talking.	A man and woman is eating.	0.32
A small dog is chasing a yoga ball.	A dog is chasing a ball.	0.8
The men are playing cricket.	The men are playing basketball.	0.44
A man rides off on a motorcycle.	A man is riding on a motorcycle.	0.88
A man is playing a guitar.	A man is singing and playing a guitar.	0.72
The man talked on the telephone.	The man is talking on the phone.	0.72
A man is fishing.	A man is exercising.	0.1
A man is levitating.	A man is talking.	0.16
Two boys are driving.	Two bays are dancing.	0.12
A man is riding on a horse.	A girl is riding a horse.	0.52
A man is riding a bicycle.	A monkey is riding a bike.	0.4
A man is slicing potatoes.	A woman is peeling potato.	0.44
A woman is peeling a potato.	A man is slicing potato.	0.48

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Dataset Card for STSB

The Semantic Textual Similarity Benchmark (Cer et al., 2017) is a collection of sentence pairs drawn from news headlines, video and image captions, and natural language inference data. Each pair is human-annotated with a similarity score from 1 to 5. However, for this variant, the similarity scores are normalized to between 0 and 1.

Dataset Details

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

Examples:

{
  'sentence1': 'A man is playing a large flute.',
  'sentence2': 'A man is playing a flute.',
  'score': 0.76,
}

Collection strategy: Reading the sentences and score from STSB dataset and dividing the score by 5.
Deduplified: No

Downloads last month: 2,663

Size of downloaded dataset files:

721 kB

Size of the auto-converted Parquet files:

721 kB

Number of rows:

8,628

Models trained or fine-tuned on sentence-transformers/stsb

Collection including sentence-transformers/stsb

Embedding Model Datasets

Collection

A curated subset of the datasets that work out of the box with Sentence Transformers: https://huggingface.co/datasets?other=sentence-transformers • 70 items • Updated Apr 7 • 134