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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
|
ν루νΈ
| 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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