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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 missing columns ({'target1_np0', 'cross2', 'cross1', 'target2_np0'})
This happened while the csv dataset builder was generating data using
hf://datasets/Jangyeong/Koglish_SICK/en_valid.csv (at revision edeb57365fc584e8724048195d0860f80eef435f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
sentence1: string
source1_np0: string
sentence2: string
source2_np0: string
label: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 853
to
{'sentence1': Value(dtype='string', id=None), 'cross1': Value(dtype='string', id=None), 'source1_np0': Value(dtype='string', id=None), 'target1_np0': Value(dtype='string', id=None), 'sentence2': Value(dtype='string', id=None), 'cross2': Value(dtype='string', id=None), 'source2_np0': Value(dtype='string', id=None), 'target2_np0': Value(dtype='string', id=None), 'label': Value(dtype='float64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1534, 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 1155, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 missing columns ({'target1_np0', 'cross2', 'cross1', 'target2_np0'})
This happened while the csv dataset builder was generating data using
hf://datasets/Jangyeong/Koglish_SICK/en_valid.csv (at revision edeb57365fc584e8724048195d0860f80eef435f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sentence1 string | cross1 string | source1_np0 string | target1_np0 string | sentence2 string | cross2 string | source2_np0 string | target2_np0 string | label float64 |
|---|---|---|---|---|---|---|---|---|
A dog is pushing a toddler into a puddle of rain | κ° is pushing a toddler into a puddle of rain | A dog | κ° | The dog is knocking a boy into the water | κ° is knocking a boy into the water | The dog | κ° | 3.9 |
A squirrel is crazily spinning around in circles | λ€λμ₯ is crazily spinning around in circles | A squirrel | λ€λμ₯ | A squirrel is running around in circles | λ€λμ₯ is running around in circles | A squirrel | λ€λμ₯ | 4.45 |
A father is launching the daughter in a swimming pool | μλ²μ§ is launching the daughter in a swimming pool | A father | μλ²μ§ | There is no biker jumping in the air | There is 곡μ€μΌλ‘ λ°μ΄μ€λ₯΄λ μμ κ±° νλ μ¬λμ μμ΄ | no biker jumping in the air | 곡μ€μΌλ‘ λ°μ΄μ€λ₯΄λ μμ κ±° νλ μ¬λμ μμ΄ | 1.1 |
The man is cautiously operating a stenograph | κ·Έ λ¨μ is cautiously operating a stenograph | The man | κ·Έ λ¨μ | A man is typing on a machine used for stenography | ν λ¨μ is typing on a machine used for stenography | A man | ν λ¨μ | 4.2 |
The girl has red hair and eyebrows , several piercings in a ear and a tattoo on the back | μλ
has red hair and eyebrows , several piercings in a ear and a tattoo on the back | The girl | μλ
| A girl with red hair and red eyebrows is talking | λΉ¨κ° λ¨Έλ¦¬μ λΉ¨κ° λμΉμ κ°μ§ μλ
is talking | A girl with red hair and red eyebrows | λΉ¨κ° λ¨Έλ¦¬μ λΉ¨κ° λμΉμ κ°μ§ μλ
| 3.3 |
The rhino is grazing on the grass | μ½λΏμ is grazing on the grass | The rhino | μ½λΏμ | The rhino is not grazing on the grass | μ½λΏμ is not grazing on the grass | The rhino | μ½λΏμ | 3.3 |
A yellow dog is running on white snow on a sunny day | λ
Έλ κ° is running on white snow on a sunny day | A yellow dog | λ
Έλ κ° | A dog , which is tan , is running through the snow | ν©κ°μ κ°, is running through the snow | A dog , which is tan , | ν©κ°μ κ°, | 3.8 |
A man is wiping the edge of a bowl | ν λ¨μ is wiping the edge of a bowl | A man | ν λ¨μ | There is no man wiping the edge of a bowl | There is κ·Έλ¦ κ°μ₯μ리λ₯Ό λ¦λ μ¬λμ μλ€ | no man wiping the edge of a bowl | κ·Έλ¦ κ°μ₯μ리λ₯Ό λ¦λ μ¬λμ μλ€ | 3.4 |
The bride and the groom are arriving after the wedding | μ λΆμ μ λ are arriving after the wedding | The bride and the groom | μ λΆμ μ λ | A married couple is walking down the aisle | κ²°νΌν λΆλΆ is walking down the aisle | A married couple | κ²°νΌν λΆλΆ | 4 |
A man is parking a car in a garage | ν λ¨μ is parking a car in a garage | A man | ν λ¨μ | A man is getting into a car | ν λ¨μ is getting into a car | A man | ν λ¨μ | 3.4 |
A dog , which is large and gray , is carrying a ball in its mouth and running across the grass | ν¬κ³ νμμΈ κ°, is carrying a ball in its mouth and running across the grass | A dog , which is large and gray , | ν¬κ³ νμμΈ κ°, | A large dog is running on the grass with a tennis ball in its mouth | ν° κ° is running on the grass with a tennis ball in its mouth | A large dog | ν° κ° | 4.4 |
Two men are walking through a river | λ λ¨μ are walking through a river | Two men | λ λ¨μ | Two men are walking through the water | λ λ¨μ are walking through the water | Two men | λ λ¨μ | 4.2 |
The little girl in a pink shirt is running under a tree in the desert | λΆνμ μ
μΈ λ₯Ό μ
μ μ΄λ¦° μλ
is running under a tree in the desert | The little girl in a pink shirt | λΆνμ μ
μΈ λ₯Ό μ
μ μ΄λ¦° μλ
| There is no girl wearing jeans and a pink shirt and running | There is μ²λ°μ§μ λΆνμ μ
μΈ λ₯Ό μ
κ³ λ¬λ¦¬λ μ¬μλ μμ΄μ | no girl wearing jeans and a pink shirt and running | μ²λ°μ§μ λΆνμ μ
μΈ λ₯Ό μ
κ³ λ¬λ¦¬λ μ¬μλ μμ΄μ | 2.5 |
A few children are jumping on a trampoline | λͺ λͺ
μ μμ΄λ€ are jumping on a trampoline | A few children | λͺ λͺ
μ μμ΄λ€ | Two boy are playing on a trampoline | λ μλ
are playing on a trampoline | Two boy | λ μλ
| 4.1 |
The man is dancing | κ·Έ λ¨μ is dancing | The man | κ·Έ λ¨μ | Three women are standing still | μΈ λͺ
μ μ¬μ± are standing still | Three women | μΈ λͺ
μ μ¬μ± | 1.7 |
There is no person cutting an onion | There is μνλ₯Ό μλ₯΄λ μ¬λμ΄ μμ΄μ | no person cutting an onion | μνλ₯Ό μλ₯΄λ μ¬λμ΄ μμ΄μ | A person is cutting an onion | μ¬λ is cutting an onion | A person | μ¬λ | 4 |
A man in blue has a yellow ball in the mitt | νλμ μ·μ μ
μ λ¨μ has a yellow ball in the mitt | A man in blue | νλμ μ·μ μ
μ λ¨μ | A man is jumping rope outside | ν λ¨μ is jumping rope outside | A man | ν λ¨μ | 1.2 |
A monkey is kicking a person | μμμ΄ is kicking a person | A monkey | μμμ΄ | A person is being kicked by a monkey | μ¬λ is being kicked by a monkey | A person | μ¬λ | 4.9 |
Little kids are playing in a water fountain in front of lots of people | μμ μμ΄λ€ are playing in a water fountain in front of lots of people | Little kids | μμ μμ΄λ€ | Little kids are playing in a water fountain in front of few people | μμ μμ΄λ€ are playing in a water fountain in front of few people | Little kids | μμ μμ΄λ€ | 4.1 |
Two men are swimming in deep water | λ λ¨μ are swimming in deep water | Two men | λ λ¨μ | Two men are standing in deep water | λ λ¨μ are standing in deep water | Two men | λ λ¨μ | 3.8 |
Three young men are running , jumping and kicking near a vending machine | μΈ λͺ
μ μ²λ
are running , jumping and kicking near a vending machine | Three young men | μΈ λͺ
μ μ²λ
| Three men are jumping on a wall | μΈ λ¨μ are jumping on a wall | Three men | μΈ λ¨μ | 2.8 |
A small boy is playing with a dog | μμ μλ
is playing with a dog | A small boy | μμ μλ
| The small boy is playing with the dog | μμ μλ
is playing with the dog | The small boy | μμ μλ
| 5 |
The man is talking about the telephone | κ·Έ λ¨μ is talking about the telephone | The man | κ·Έ λ¨μ | The man is talking on the telephone | κ·Έ λ¨μ is talking on the telephone | The man | κ·Έ λ¨μ | 3.6 |
A dog is opening a can of food | κ° is opening a can of food | A dog | κ° | A dog is closing a can of food | κ° is closing a can of food | A dog | κ° | 3 |
A cyclist is biking in a snowy forest in the dark | μμ κ±° νλ μ¬λ is biking in a snowy forest in the dark | A cyclist | μμ κ±° νλ μ¬λ | The rider is biking in the snow and wearing a red jacket | λΌμ΄λ is biking in the snow and wearing a red jacket | The rider | λΌμ΄λ | 3.3 |
A woman is cracking some eggs outside a bowl | μ¬μ is cracking some eggs outside a bowl | A woman | μ¬μ | A man is participating in a bmx race | ν λ¨μ is participating in a bmx race | A man | ν λ¨μ | 1 |
A woman is scrubbing a zucchini with a vegetable brush | μ¬μ is scrubbing a zucchini with a vegetable brush | A woman | μ¬μ | A person is scrubbing a zucchini | μ¬λ is scrubbing a zucchini | A person | μ¬λ | 4.7 |
A black dog is jumping off a dock into a pond | κ²μ κ° is jumping off a dock into a pond | A black dog | κ²μ κ° | A white dog is jumping from a dock into the water | ν° κ° is jumping from a dock into the water | A white dog | ν° κ° | 3.8 |
A steak is being rinsed with water by a person | μ€ν
μ΄ν¬ is being rinsed with water by a person | A steak | μ€ν
μ΄ν¬ | A person is rinsing a steak with water | μ¬λ is rinsing a steak with water | A person | μ¬λ | 5 |
The girl in a blue coverall is painting | νλ μμ
볡μ μ
μ μλ
is painting | The girl in a blue coverall | νλ μμ
볡μ μ
μ μλ
| The girl in the blue coverall is painting | νλ μμ
볡μ μ
μ μλ
is painting | The girl in the blue coverall | νλ μμ
볡μ μ
μ μλ
| 4.9 |
The man is drawing | κ·Έ λ¨μ is drawing | The man | κ·Έ λ¨μ | There is no man drawing | There is κ·Έλ¦Ό 그리λ μ¬λ μμ | no man drawing | κ·Έλ¦Ό 그리λ μ¬λ μμ | 3.4 |
Some football players in red and white are jumping and hugging | λΉ¨κ°μκ³Ό ν°μμ μΌλΆ μΆκ΅¬ μ μ are jumping and hugging | Some football players in red and white | λΉ¨κ°μκ³Ό ν°μμ μΌλΆ μΆκ΅¬ μ μ | Football players in red and white are jumping and hugging each other | λΉ¨κ°μκ³Ό ν°μμ μΆκ΅¬ μ μ are jumping and hugging each other | Football players in red and white | λΉ¨κ°μκ³Ό ν°μμ μΆκ΅¬ μ μ | 4.8 |
A man is playing a bamboo flute | ν λ¨μ is playing a bamboo flute | A man | ν λ¨μ | A flute is being played by the man | νλ£¨νΈ is being played by the man | A flute | νλ£¨νΈ | 4.3 |
A barefoot man in pajamas is looking toward the sky and is standing on the tennis court | μ μ· μ°¨λ¦Όμ 맨λ°μ λ¨μ is looking toward the sky and is standing on the tennis court | A barefoot man in pajamas | μ μ· μ°¨λ¦Όμ 맨λ°μ λ¨μ | A man is wearing a blue shirt and walking barefoot on a tennis court | ν λ¨μ is wearing a blue shirt and walking barefoot on a tennis court | A man | ν λ¨μ | 3.4 |
A boy is sitting in a seat | μλ
is sitting in a seat | A boy | μλ
| A toddler is sitting down | μ μ is sitting down | A toddler | μ μ | 4.2 |
A woman is speaking on her cell phone and is keeping a purse and a yellow bag on the near ledge | μ¬μ is speaking on her cell phone and is keeping a purse and a yellow bag on the near ledge | A woman | μ¬μ | A woman is silent and is leaving a purse and a yellow bag on the near ledge | μ¬μ is silent and is leaving a purse and a yellow bag on the near ledge | A woman | μ¬μ | 3.3 |
A black dog and a small white and black dog are looking up at a kitchen countertop | κ²μ κ°μ μμ ν°μκ³Ό κ²μμ κ° are looking up at a kitchen countertop | A black dog and a small white and black dog | κ²μ κ°μ μμ ν°μκ³Ό κ²μμ κ° | A large dog and a small dog are standing next to the kitchen counter and are investigating | ν° κ°μ μμ κ° are standing next to the kitchen counter and are investigating | A large dog and a small dog | ν° κ°μ μμ κ° | 4.2 |
An elderly woman is sitting on a bench and is wearing a gray jacket and black pants | λ
ΈμΈ μ¬μ± is sitting on a bench and is wearing a gray jacket and black pants | An elderly woman | λ
ΈμΈ μ¬μ± | An old person is sitting on a bench | λ
ΈμΈ is sitting on a bench | An old person | λ
ΈμΈ | 4 |
A person is not quickly chopping mushrooms with a knife | μ¬λ is not quickly chopping mushrooms with a knife | A person | μ¬λ | A person is quickly chopping mushrooms with a knife | μ¬λ is quickly chopping mushrooms with a knife | A person | μ¬λ | 3.5 |
A man is diving off a cliff | ν λ¨μ is diving off a cliff | A man | ν λ¨μ | There is no man riding a motorcycle | There is μ€ν λ°μ΄ νλ μ¬λ μμ | no man riding a motorcycle | μ€ν λ°μ΄ νλ μ¬λ μμ | 1.9 |
The woman is slicing an onion with a knife | μ¬μ is slicing an onion with a knife | The woman | μ¬μ | A man is preparing a dish | ν λ¨μ is preparing a dish | A man | ν λ¨μ | 2.2 |
A woman is driving a car and is talking to the man who is seated beside her | μ¬μ is driving a car and is talking to the man who is seated beside her | A woman | μ¬μ | There is no woman driving a car and talking to the man seated beside her | There is μ°¨λ₯Ό μ΄μ νλ©΄μ μμ μμ λ¨μμ μ΄μΌκΈ°λ₯Ό λλλ μ¬μλ μμ΅λλ€ | no woman driving a car and talking to the man seated beside her | μ°¨λ₯Ό μ΄μ νλ©΄μ μμ μμ λ¨μμ μ΄μΌκΈ°λ₯Ό λλλ μ¬μλ μμ΅λλ€ | 4.7 |
A man and a woman are eating | λ¨μμ μ¬μ are eating | A man and a woman | λ¨μμ μ¬μ | A man and a woman are having a conversation | λ¨μμ μ¬μ are having a conversation | A man and a woman | λ¨μμ μ¬μ | 2.8 |
A man is athletically jumping a wall | ν λ¨μ is athletically jumping a wall | A man | ν λ¨μ | A man is jumping onto a low wall | ν λ¨μ is jumping onto a low wall | A man | ν λ¨μ | 4 |
There is no man eating a bowl of cereal | There is μλ¦¬μΌ ν κ·Έλ¦μ λ¨Ήλ μ¬λμ μμ΄μ | no man eating a bowl of cereal | μλ¦¬μΌ ν κ·Έλ¦μ λ¨Ήλ μ¬λμ μμ΄μ | A man is eating a bowl of cereal | ν λ¨μ is eating a bowl of cereal | A man | ν λ¨μ | 4 |
A dog is pushing a toddler into a rain puddle | κ° is pushing a toddler into a rain puddle | A dog | κ° | A dog is pulling a toddler out of a rain puddle | κ° is pulling a toddler out of a rain puddle | A dog | κ° | 3.5 |
The man is not dancing | κ·Έ λ¨μ is not dancing | The man | κ·Έ λ¨μ | A woman is dancing | μ¬μ is dancing | A woman | μ¬μ | 3.3 |
A young couple is lying on a bed together | μ μ λΆλΆ is lying on a bed together | A young couple | μ μ λΆλΆ | A young couple is not lying in bed | μ μ λΆλΆ is not lying in bed | A young couple | μ μ λΆλΆ | 3.7 |
Someone is checking the email | Someone is checking μ΄λ©μΌ | the email | μ΄λ©μΌ | Someone is reading the email | Someone is reading μ΄λ©μΌ | the email | μ΄λ©μΌ | 4.4 |
A female wearing pink gloves and a brown jacket is smiling in the snow | λΆνμ μ₯κ°κ³Ό κ°μ μ¬ν·μ μ
μ μ¬μ± is smiling in the snow | A female wearing pink gloves and a brown jacket | λΆνμ μ₯κ°κ³Ό κ°μ μ¬ν·μ μ
μ μ¬μ± | The female wearing pink gloves and a brown jacket is smiling in the snow | λΆνμ μ₯κ°κ³Ό κ°μ μ¬ν·μ μ
μ μ¬μ± is smiling in the snow | The female wearing pink gloves and a brown jacket | λΆνμ μ₯κ°κ³Ό κ°μ μ¬ν·μ μ
μ μ¬μ± | 5 |
The people are walking on the road beside a beautiful waterfall | μ¬λλ€ are walking on the road beside a beautiful waterfall | The people | μ¬λλ€ | A waterfall is flowing calmly into a shallow pool | νν¬ is flowing calmly into a shallow pool | A waterfall | νν¬ | 2.7 |
The adults and children are not gathered near an outdoor seating arrangement | μ΄λ₯Έλ μμ΄λ are not gathered near an outdoor seating arrangement | The adults and children | μ΄λ₯Έλ μμ΄λ | The adults and children are being gathered near an outdoor seating arrangement | μ΄λ₯Έλ μμ΄λ are being gathered near an outdoor seating arrangement | The adults and children | μ΄λ₯Έλ μμ΄λ | 4.4 |
The monkey is brushing a bull dog | μμμ΄ is brushing a bull dog | The monkey | μμμ΄ | The monkey is brushing the dog | μμμ΄ is brushing the dog | The monkey | μμμ΄ | 4.6 |
Two dogs on a lawn are playing with a plastic toy | μλλ°μ κ° λ λ§λ¦¬ are playing with a plastic toy | Two dogs on a lawn | μλλ°μ κ° λ λ§λ¦¬ | Two dogs are running and catching a tennis ball | κ° λ λ§λ¦¬ are running and catching a tennis ball | Two dogs | κ° λ λ§λ¦¬ | 3.8 |
People are walking outside a building that has many murals on it | People are walking outside λ²½νκ° λ§μ 건물 | a building that has many murals on it | λ²½νκ° λ§μ 건물 | Several people are in front of a colorful building | μ¬λ¬ μ¬λ are in front of a colorful building | Several people | μ¬λ¬ μ¬λ | 3.7 |
A brown and white dog is jumping in the air with a tennis ball in its mouth | κ°μκ³Ό ν°μ κ° is jumping in the air with a tennis ball in its mouth | A brown and white dog | κ°μκ³Ό ν°μ κ° | A brown and white dog is resting on the ground with a tennis ball in its mouth | κ°μκ³Ό ν°μ κ° is resting on the ground with a tennis ball in its mouth | A brown and white dog | κ°μκ³Ό ν°μ κ° | 3.4 |
Three women are standing still | μΈ λͺ
μ μ¬μ± are standing still | Three women | μΈ λͺ
μ μ¬μ± | Three women are dancing | μΈ λͺ
μ μ¬μ± are dancing | Three women | μΈ λͺ
μ μ¬μ± | 2.8 |
There is no man singing and playing the guitar | There is λ
Έλνκ³ κΈ°νλ₯Ό μΉλ μ¬λμ μμ΄μ | no man singing and playing the guitar | λ
Έλνκ³ κΈ°νλ₯Ό μΉλ μ¬λμ μμ΄μ | A man is playing a guitar | ν λ¨μ is playing a guitar | A man | ν λ¨μ | 4.3 |
Some meat is being cut into pieces by a woman | κ³ κΈ° μ’ is being cut into pieces by a woman | Some meat | κ³ κΈ° μ’ | A woman is cutting some meat into pieces | μ¬μ is cutting some meat into pieces | A woman | μ¬μ | 4.8 |
A playing device is amusing a cat | μ¬μ μ₯μΉ is amusing a cat | A playing device | μ¬μ μ₯μΉ | The boy is playing in the mud | κ·Έ μλ
is playing in the mud | The boy | κ·Έ μλ
| 1 |
Three men are jumping on a wall | μΈ λ¨μ are jumping on a wall | Three men | μΈ λ¨μ | Three men are jumping off a wall | μΈ λ¨μ are jumping off a wall | Three men | μΈ λ¨μ | 4 |
A woman is dancing and singing in the rain | μ¬μ is dancing and singing in the rain | A woman | μ¬μ | A woman is dancing and singing alone | μ¬μ is dancing and singing alone | A woman | μ¬μ | 4 |
The woman is not picking up and holding a baby kangaroo | μ¬μ is not picking up and holding a baby kangaroo | The woman | μ¬μ | A woman is picking up and holding a baby kangaroo in her arms | μ¬μ is picking up and holding a baby kangaroo in her arms | A woman | μ¬μ | 3.7 |
A dog is rolling from side to side | κ° is rolling from side to side | A dog | κ° | There is no puppy rolling | There is κ°μμ§ λ‘€λ§ κΈμ§ | no puppy rolling | κ°μμ§ λ‘€λ§ κΈμ§ | 3.6 |
A squirrel is running around in circles | λ€λμ₯ is running around in circles | A squirrel | λ€λμ₯ | An animal is running around in circles | λλ¬Ό is running around in circles | An animal | λλ¬Ό | 4.6 |
The man surrounded by photographers is wearing a gray suit and glasses | μ¬μ§μκ°λ€μκ² λλ¬μΈμΈ λ¨μ is wearing a gray suit and glasses | The man surrounded by photographers | μ¬μ§μκ°λ€μκ² λλ¬μΈμΈ λ¨μ | A man in a suit is being surrounded by photographers | μ볡μ μ
μ λ¨μ is being surrounded by photographers | A man in a suit | μ볡μ μ
μ λ¨μ | 4.6 |
A woman is wearing a colorful shirt and a lot of jewelry | μ¬μ is wearing a colorful shirt and a lot of jewelry | A woman | μ¬μ | A man is wearing a colorful shirt and a lot of jewelry | ν λ¨μ is wearing a colorful shirt and a lot of jewelry | A man | ν λ¨μ | 3.6 |
The woman isn ' t pouring oil into a skillet | μ¬μ isn ' t pouring oil into a skillet | The woman | μ¬μ | The woman is pouring oil into a skillet | μ¬μ is pouring oil into a skillet | The woman | μ¬μ | 3.6 |
A squirrel is running in circles | λ€λμ₯ is running in circles | A squirrel | λ€λμ₯ | An animal is running in circles | λλ¬Ό is running in circles | An animal | λλ¬Ό | 4.4 |
Three boys in karate costumes aren ' t fighting | κ°λΌλ° μμμ μ
μ μΈ μλ
aren ' t fighting | Three boys in karate costumes | κ°λΌλ° μμμ μ
μ μΈ μλ
| Three boys in karate costumes are fighting | κ°λΌλ° μμμ μ
μ μΈ μλ
are fighting | Three boys in karate costumes | κ°λΌλ° μμμ μ
μ μΈ μλ
| 3.3 |
A dog is chasing a ball | κ° is chasing a ball | A dog | κ° | A blue ball is being caught by the dog | νλ 곡 is being caught by the dog | A blue ball | νλ 곡 | 3.7 |
A woman is walking the dog down the street | μ¬μ is walking the dog down the street | A woman | μ¬μ | The woman is walking the dog | μ¬μ is walking the dog | The woman | μ¬μ | 4.4 |
A yellow dog is running down a sandy path | λ
Έλ κ° is running down a sandy path | A yellow dog | λ
Έλ κ° | A golden retriever is running | 골λ 리νΈλ¦¬λ² is running | A golden retriever | 골λ 리νΈλ¦¬λ² | 3.3 |
There is no woman beating two eggs in a bowl and using a whisk made of wire | There is κ·Έλ¦μ κ³λ λ κ°λ₯Ό λ£κ³ μ² μ¬λ‘ λ§λ κ±°νκΈ°λ₯Ό μ¬μ©νλ μ¬μλ μμ΅λλ€ | no woman beating two eggs in a bowl and using a whisk made of wire | κ·Έλ¦μ κ³λ λ κ°λ₯Ό λ£κ³ μ² μ¬λ‘ λ§λ κ±°νκΈ°λ₯Ό μ¬μ©νλ μ¬μλ μμ΅λλ€ | A man wearing a dyed black shirt is sitting at the table and laughing | κ²μμμΌλ‘ μΌμλ μ
μΈ λ₯Ό μ
μ λ¨μ is sitting at the table and laughing | A man wearing a dyed black shirt | κ²μμμΌλ‘ μΌμλ μ
μΈ λ₯Ό μ
μ λ¨μ | 1.2 |
There is no man squatting in brush and taking a photograph | There is λ€λΆ μμ μͺΌκ·Έλ¦¬κ³ μμ μ¬μ§μ μ°λ μ¬λμ μλ€ | no man squatting in brush and taking a photograph | λ€λΆ μμ μͺΌκ·Έλ¦¬κ³ μμ μ¬μ§μ μ°λ μ¬λμ μλ€ | A man is crouching and holding a camera | ν λ¨μ is crouching and holding a camera | A man | ν λ¨μ | 3.2 |
The woman is putting makeup on the man | μ¬μ is putting makeup on the man | The woman | μ¬μ | A woman is painting a man ' s face | μ¬μ is painting a man ' s face | A woman | μ¬μ | 4.4 |
An adult is in the amphitheater and is talking to a boy | μ±μΈ is in the amphitheater and is talking to a boy | An adult | μ±μΈ | The man and the boy are standing at the top of the stairs , which are outdoors | κ·Έ λ¨μμ μλ
are standing at the top of the stairs , which are outdoors | The man and the boy | κ·Έ λ¨μμ μλ
| 3 |
Two bikes are being ridden by two people | μμ κ±° λ λ are being ridden by two people | Two bikes | μμ κ±° λ λ | Two people are riding a bike | λ μ¬λ are riding a bike | Two people | λ μ¬λ | 4.6 |
There is no girl playing the piano | There is νΌμλ
Έ μΉλ μ¬μ μμ΄ | no girl playing the piano | νΌμλ
Έ μΉλ μ¬μ μμ΄ | A little girl is playing a grand piano on stage | μμ μλ
is playing a grand piano on stage | A little girl | μμ μλ
| 4.3 |
A baby is crawling happily | μκΈ° is crawling happily | A baby | μκΈ° | A baby is cheering another baby | μκΈ° is cheering another baby | A baby | μκΈ° | 2.7 |
People in costumes are sitting in the street | μμμ μ
μ μ¬λλ€ are sitting in the street | People in costumes | μμμ μ
μ μ¬λλ€ | People in costumes are walking around in the street | μμμ μ
μ μ¬λλ€ are walking around in the street | People in costumes | μμμ μ
μ μ¬λλ€ | 2.7 |
A little girl and a woman wearing a yellow shirt are getting splashed near a fountain | λ
Έλ μ
μΈ λ₯Ό μ
μ μ΄λ¦° μλ
μ μ¬μ are getting splashed near a fountain | A little girl and a woman wearing a yellow shirt | λ
Έλ μ
μΈ λ₯Ό μ
μ μ΄λ¦° μλ
μ μ¬μ | A young girl is playing on the edge of a fountain and an older woman is watching her | μ΄λ¦° μλ
is playing on the edge of a fountain and an older woman is watching her | A young girl | μ΄λ¦° μλ
| 3.4 |
A young child is splashing in the water | μ΄λ¦° μμ΄ is splashing in the water | A young child | μ΄λ¦° μμ΄ | The young child is splashing in the water | μ΄λ¦° μμ΄ is splashing in the water | The young child | μ΄λ¦° μμ΄ | 4.9 |
The man is cleaning the drawing on the board | κ·Έ λ¨μ is cleaning the drawing on the board | The man | κ·Έ λ¨μ | The man is erasing the drawing on the board | κ·Έ λ¨μ is erasing the drawing on the board | The man | κ·Έ λ¨μ | 4.6 |
The woman is putting pasta into a dish | μ¬μ is putting pasta into a dish | The woman | μ¬μ | A woman is pulling some sticky goo out of a bowl | μ¬μ is pulling some sticky goo out of a bowl | A woman | μ¬μ | 2.9 |
One white dog and one black one are cheerfully running side by side on the grass | ν° κ° ν λ§λ¦¬μ κ²μ κ° ν λ§λ¦¬ are cheerfully running side by side on the grass | One white dog and one black one | ν° κ° ν λ§λ¦¬μ κ²μ κ° ν λ§λ¦¬ | A black and a white dog are joyfully running on the grass | κ²μμκ³Ό ν°μ κ° are joyfully running on the grass | A black and a white dog | κ²μμκ³Ό ν°μ κ° | 4.4 |
There is no lady mixing a meat mixture in a bowl | There is κ·Έλ¦μ κ³ κΈ° νΌν©λ¬Όμ μλ μ¬μλ μμ΅λλ€ | no lady mixing a meat mixture in a bowl | κ·Έλ¦μ κ³ κΈ° νΌν©λ¬Όμ μλ μ¬μλ μμ΅λλ€ | A lady is mixing a meat mixture in a bowl | μ¬μ± is mixing a meat mixture in a bowl | A lady | μ¬μ± | 4 |
A woman is wearing a blue shirt and walking barefoot on a tennis court | μ¬μ is wearing a blue shirt and walking barefoot on a tennis court | A woman | μ¬μ | A barefoot man in pajamas is looking toward the sky and is walking on the tennis court | μ μ· μ°¨λ¦Όμ 맨λ°μ λ¨μ is looking toward the sky and is walking on the tennis court | A barefoot man in pajamas | μ μ· μ°¨λ¦Όμ 맨λ°μ λ¨μ | 3.1 |
A toddler is playing with a plastic scooter toy | μ μ is playing with a plastic scooter toy | A toddler | μ μ | A woman in blue has a yellow ball in the mitt | νλμ μ·μ μ
μ μ¬μ has a yellow ball in the mitt | A woman in blue | νλμ μ·μ μ
μ μ¬μ | 1 |
A man is rock climbing , pausing and calculating the route | ν λ¨μ is rock climbing , pausing and calculating the route | A man | ν λ¨μ | A man is rock climbing and a city and a bay are in the background | ν λ¨μ is rock climbing and a city and a bay are in the background | A man | ν λ¨μ | 3.3 |
The lady is peeling the potato | μλ
λΆ is peeling the potato | The lady | μλ
λΆ | A woman is peeling a potato | μ¬μ is peeling a potato | A woman | μ¬μ | 5 |
The man is doing floor exercises | κ·Έ λ¨μ is doing floor exercises | The man | κ·Έ λ¨μ | A person is doing exercises | μ¬λ is doing exercises | A person | μ¬λ | 4.3 |
A woman in a purple top is walking a bicycle between two stone columns | 보λΌμ μμλ₯Ό μ
μ μ¬μ is walking a bicycle between two stone columns | A woman in a purple top | 보λΌμ μμλ₯Ό μ
μ μ¬μ | A girl dressed in purple and blue is slowly walking beside her bike at night | 보λΌμκ³Ό νλμ μ·μ μ
μ μλ
is slowly walking beside her bike at night | A girl dressed in purple and blue | 보λΌμκ³Ό νλμ μ·μ μ
μ μλ
| 3.5 |
The woman is not pouring oil into the pan | μ¬μ is not pouring oil into the pan | The woman | μ¬μ | The boy is playing the piano | κ·Έ μλ
is playing the piano | The boy | κ·Έ μλ
| 1 |
Two people are in the snow , wearing clothes that provide camouflage | λ μ¬λ are in the snow , wearing clothes that provide camouflage | Two people | λ μ¬λ | Two men are walking two dogs with golden coats in the snow | λ λ¨μ are walking two dogs with golden coats in the snow | Two men | λ λ¨μ | 3.2 |
A woman is petting a dog near a stone trail | μ¬μ is petting a dog near a stone trail | A woman | μ¬μ | A woman is petting a dog near a stone path | μ¬μ is petting a dog near a stone path | A woman | μ¬μ | 4.9 |
A brown and white dog is jumping in the air with a tennis ball in its mouth | κ°μκ³Ό ν°μ κ° is jumping in the air with a tennis ball in its mouth | A brown and white dog | κ°μκ³Ό ν°μ κ° | A dog is catching a ball in mid air | κ° is catching a ball in mid air | A dog | κ° | 3.9 |
The men are carefully putting suitcases into the trunk of a car | λ¨μλ€ are carefully putting suitcases into the trunk of a car | The men | λ¨μλ€ | The men are putting suitcases into the trunk of a car | λ¨μλ€ are putting suitcases into the trunk of a car | The men | λ¨μλ€ | 4.6 |
There is no surfer riding the wave | There is νλλ₯Ό νλ μνΌλ μλ€ | no surfer riding the wave | νλλ₯Ό νλ μνΌλ μλ€ | A surfer is riding the wave | μνΌ is riding the wave | A surfer | μνΌ | 3.8 |
A toddler is making a splash outside a blue paddling pool | μ μ is making a splash outside a blue paddling pool | A toddler | μ μ | The child is splashing water in a small blue pool | μμ΄ is splashing water in a small blue pool | The child | μμ΄ | 4.2 |
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