Datasets:
myngsoooo
/
eval_simcse

Dataset card Data Studio Files
xet
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 3 fields in line 1041, saw 4

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 195, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 3 fields in line 1041, saw 4
              
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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The young boys are playing outdoors and the man is smiling nearby
string
There is no boy playing outdoors and there is no man smiling
string
3.6
float64
A person in a black jacket is doing tricks on a motorbike
A skilled person is riding a bicycle on one wheel
3.4
Four children are doing backbends in the gym
Four girls are doing backbends and playing outdoors
3.8
A player is throwing the ball
Two teams are competing in a football match
2.9
Five children are standing in front of a wooden hut
Five children are standing in a wooden hut
4.2
Few people are eating at red tables in a restaurant without lights
A large group of Asian people is eating at a restaurant
2.6
Someone is on a black and white motorcycle and is standing on the seat
A motorcycle is riding standing up on the seat of the vehicle
3.165
Two dogs are playing by a tree
Two dogs are playing by a plant
4.6
A girl in white is dancing
A girl is wearing white clothes and is dancing
4.9
There is no girl in white dancing
A girl in white is dancing
4.2
The equipment in front of the blond dancing girl is sound
A girl in white is dancing
2.7
A girl in white is dancing
The blond girl is dancing in front of the sound equipment
3.3
The children of a family are playing and waiting
An Asian man is dancing and three kids are looking
1.9
A hiker is on top of the mountain and is doing a joyful dance
A hiker is on top of the mountain and is dancing
4.7
A boy is standing outside the water
The boy is wading through the blue ocean
3.135
A bald person is playing a guitar
A person has blonde and flyaway hair and is playing a guitar
3.9
An old , topless woman is covered in paint
A young , topless woman is covered in paint
3.8
A group of children in uniforms is standing at a gate and there is no one kissing the mother
A crowd of people is near the water
1.3
A brown and white dog is running through the tall grass
A brown and white dog is moving through the wild grass
4.4
A white and tan dog is running through the tall and green grass
A white and tan dog is running through a field
4.35
A man is sitting near a bike and is writing a note
A man is standing near a bike and is writing on a piece paper
3.6
A group of scouts are hiking through the grass
A group of explorers are walking through the grass
4.1
Two men are taking a break from a trip on a snowy road
Two men with cars are on the side of a snowy road
4
A lady is surfing and riding a wave
A blond girl is looking at the waves
3.3
The woman wearing silver pants , pink bellbottoms and a pink scarf is riding a bike
Pink bellbottoms and a pink scarf aren 't to be worn by women with silver pants or bike riding people
3.3
The woman wearing silver pants , pink bellbottoms and a pink scarf is riding a bike
A pedestrian woman is building pink bicycles for boa wearing riders
2.4
A biker is wearing gear which is black
A biker wearing black is breaking the gears
3.1
A woman is taking off a cloak , which is very large , and revealing an extravagant dress
A woman is putting on a cloak , which is very large , and concealing an extravagant dress
3.5
A boy is climbing up a wall artificially built for climbing and is attached to a rope
A little boy , who looks fearful , is on a climbing wall .
3.5
A man isn 't tossing a kid into the swimming pool that is near the ocean
The man is tossing a kid into the swimming pool that is near the ocean
3.5
One man is climbing a cliff with a rope
A person with pink climbing gear roped the rock
3.3
A person is climbing a rock with a rope , which is pink
One man is climbing a cliff with a rope
4.6
One white dog is staring at the black street
Two dogs of different breeds are looking at each other across a street
3.4
A dog which is furry and black is in a back yard and is carrying a basket in its mouth
A dog next to a tree , which is probably a pine , is biting a bucket
2.785
A few men in a competition are running outside
A few men in a competition are running indoors
3.9
A few men in a competition are running outside
A few men are running competitions outside
3.9
The kid is happily sliding in the snow
A boy on a hill covered in snow is wearing a red jacket and a black hat and is sliding on his knees
4
A woman , who is old , is near a white dog
A woman and a dog are sitting on a tree stump
3.1
A group of people is equipped with protective gear
A group of people is equipped with gear used for protection
5
One white dog and one black one are running side by side on the grass
A dog , which has a black coat , and a white dog are running on the grass
4.2
Not a lot of people are in an ice skating park
An ice skating rink placed outdoors is full of people
3.5
The girl in the blue and white uniform is cheering
The girl is cheering the man in the blue and white uniform
3.1
A woman is being kissed by a man
There is no woman being kissed by a man
4.2
The girl in the red shirt is blowing a bubble
The young girl is blowing a bubble that is huge
3.8
Some corndogs are being eaten by two toddlers who are in a wagon , which is really small
Two toddlers are eating corndogs in a wagon , which is really small
4.8
A man is getting on a horse on a track laid in the wild
A horse is tossing the cowboy wearing pants of blue and red color
2.1
An adult is in the amphitheater and is talking to a boy
There is no adult in the amphitheater talking to a boy
4.3
A talk about an adult and a boy is given in the amphitheater
An adult is in the amphitheater and is talking to a boy
3.1
The snowboarder isn 't leaping over white snow
A person who is practicing snowboarding jumps into the air
3.3
A woman is riding a horse
A man is opening a small package that contains headphones
1
A fish is hunting for a turtle in the sea
The turtle is following the fish
3.5
A potato is being sliced by a woman
A woman is slicing a carrot
3
A woman is combing her hair
A woman is arranging her hair
4.1
A woman is combing her hair
There is no woman combing her hair
3.6
A man and a woman are hiking through a wooded area
A man and a woman are walking together through the woods
4.3
A man and a woman are walking together through the woods
A man and a woman are walking through a wooded area
4.6
A man is slicing a bun
A man is slicing a tomato
3.6
A woman is dancing and singing alone
A woman is dancing and singing with other women
3.285
Some women are dancing and singing
A woman is dancing and singing in the rain
3.8
A woman is dancing and singing with other women
A woman is dancing and singing in the rain
4.1
A band is playing on a stage
A band is playing onstage
5
A man is playing flute
A man is playing a game with a ball
1.5
The woman is measuring the other woman
A woman is being measured by another woman
4.9
A person is standing near a motorcycle
A person is chopping an onion
1.2
A man is screaming
A man is scared
3.6
A sad man is crying
A man is screaming
2.9
A woman is cutting shrimps
A man is chopping butter into a small container
1.4
Men are sawing logs
Men are cutting wood
4.5
A man is talking on the radio
A man is spitting
1.7
Three young men are running , jumping and kicking near a vending machine
There is no man running , jumping and kicking near a vending machine
3.8
Three men are jumping off a wall
Three young men are furiously running , jumping and kicking near a vending machine
2.5
The man is not stirring the sauce for the chicken
The man is stirring the sauce for the chicken
4
A man is playing an electric guitar
A man is playing guitar
4.9
A man is playing a guitar
A man is strumming a guitar
4.9
Three boys in karate costumes aren 't fighting
Three boys in karate costumes are fighting
3.3
Three men are practicing karate outdoors
Three boys in karate costumes are fighting
3.8
A woman is planting some flowers
A woman is cutting broccoli
1.2
A hole is being burrowed by the badger
A badger is shrewdly digging the earth
4.5
A snake is being fed a mouse by a man
No snake is being fed a mouse by a man
4.7
Some ingredients are being mixed in a bowl by a person
Some ingredients are being separated in a bowl by a person
4.6
A boat is sailing peacefully over the water
The guitar is being played by the man
1.1
The milk is being drunk by a cat
The cat is drinking some milk
5
A man is emptying a container made of plastic completely
A man is emptying a container made of plastic
4.7
A man is emptying a container made of plastic
A man is carelessly holding a frog
1.1
A flute is being played in a lovely way by a girl
A flute is being played by a girl
4.6
The adult is playing the guitar loudly
A flute is being played by a man
2.4
A man is playing the guitar loudly
A flute isn 't being played by a man
2.4
The girl , who is little , is carefully combing her hair into a pony tail
The girl , who is little , is combing her hair into a pony tail .
4.6
One man is sitting on the chair
The girl , who is little , is ruffling her hair
1
The microphone in front of the talking parrot is being muted
The parrot is talking into the microphone
4
The kittens on the trays are being eaten as food for an advertisement
The food on the trays is being eaten by the kittens
3.5
The food on the trays is being eaten by the kittens
A few kittens are eating
4.2
One person is playing the guitar and singing
A person is playing a guitar and singing
4.9
The horse is being ridden by a man
A man is riding the horse
5
A man is dangerously throwing knives at a tree
Some dangerous men with knives are throwing a bike against a tree
3.3
A lady is cutting up some meat precisely
Some meat is being cut into pieces by a woman
4.8
The man is denying an interview
The man is granting an interview
3.2
The man is granting an interview
A man 's white car is being driven away
1.1
A small boy is scolding a dog
A small boy is playing with a dog
3.4
The picture of a camera set up is being taken by a man on the beach at the sunset
A man is taking pictures of a lake
3
A woman is sewing with a machine
A woman is using a machine made for sewing
4.8
End of preview.