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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
개 is pushing a toddler into a puddle of rain
A dog
개
The dog is knocking a boy into the water
개 is knocking a boy into the water
The dog
개
3.9
A squirrel is crazily spinning around in circles
λ‹€λžŒμ₯ is crazily spinning around in circles
A squirrel
λ‹€λžŒμ₯
A squirrel is running around in circles
λ‹€λžŒμ₯ is running around in circles
A squirrel
λ‹€λžŒμ₯
4.45
A father is launching the daughter in a swimming pool
아버지 is launching the daughter in a swimming pool
A father
아버지
There is no biker jumping in the air
There is κ³΅μ€‘μœΌλ‘œ λ›°μ–΄μ˜€λ₯΄λŠ” μžμ „κ±° νƒ€λŠ” μ‚¬λžŒμ€ μ—†μ–΄
no biker jumping in the air
κ³΅μ€‘μœΌλ‘œ λ›°μ–΄μ˜€λ₯΄λŠ” μžμ „κ±° νƒ€λŠ” μ‚¬λžŒμ€ μ—†μ–΄
1.1
The man is cautiously operating a stenograph
κ·Έ λ‚¨μž is cautiously operating a stenograph
The man
κ·Έ λ‚¨μž
A man is typing on a machine used for stenography
ν•œ λ‚¨μž is typing on a machine used for stenography
A man
ν•œ λ‚¨μž
4.2
The girl has red hair and eyebrows , several piercings in a ear and a tattoo on the back
μ†Œλ…€ has red hair and eyebrows , several piercings in a ear and a tattoo on the back
The girl
μ†Œλ…€
A girl with red hair and red eyebrows is talking
λΉ¨κ°„ 머리와 λΉ¨κ°„ λˆˆμΉμ„ κ°€μ§„ μ†Œλ…€ is talking
A girl with red hair and red eyebrows
λΉ¨κ°„ 머리와 λΉ¨κ°„ λˆˆμΉμ„ κ°€μ§„ μ†Œλ…€
3.3
The rhino is grazing on the grass
μ½”λΏ”μ†Œ is grazing on the grass
The rhino
μ½”λΏ”μ†Œ
The rhino is not grazing on the grass
μ½”λΏ”μ†Œ is not grazing on the grass
The rhino
μ½”λΏ”μ†Œ
3.3
A yellow dog is running on white snow on a sunny day
λ…Έλž€ 개 is running on white snow on a sunny day
A yellow dog
λ…Έλž€ 개
A dog , which is tan , is running through the snow
ν™©κ°ˆμƒ‰ 개, is running through the snow
A dog , which is tan ,
ν™©κ°ˆμƒ‰ 개,
3.8
A man is wiping the edge of a bowl
ν•œ λ‚¨μž is wiping the edge of a bowl
A man
ν•œ λ‚¨μž
There is no man wiping the edge of a bowl
There is 그릇 κ°€μž₯자리λ₯Ό λ‹¦λŠ” μ‚¬λžŒμ€ μ—†λ‹€
no man wiping the edge of a bowl
그릇 κ°€μž₯자리λ₯Ό λ‹¦λŠ” μ‚¬λžŒμ€ μ—†λ‹€
3.4
The bride and the groom are arriving after the wedding
신뢀와 μ‹ λž‘ are arriving after the wedding
The bride and the groom
신뢀와 μ‹ λž‘
A married couple is walking down the aisle
κ²°ν˜Όν•œ λΆ€λΆ€ is walking down the aisle
A married couple
κ²°ν˜Όν•œ λΆ€λΆ€
4
A man is parking a car in a garage
ν•œ λ‚¨μž is parking a car in a garage
A man
ν•œ λ‚¨μž
A man is getting into a car
ν•œ λ‚¨μž is getting into a car
A man
ν•œ λ‚¨μž
3.4
A dog , which is large and gray , is carrying a ball in its mouth and running across the grass
크고 νšŒμƒ‰μΈ 개, is carrying a ball in its mouth and running across the grass
A dog , which is large and gray ,
크고 νšŒμƒ‰μΈ 개,
A large dog is running on the grass with a tennis ball in its mouth
큰 개 is running on the grass with a tennis ball in its mouth
A large dog
큰 개
4.4
Two men are walking through a river
두 λ‚¨μž are walking through a river
Two men
두 λ‚¨μž
Two men are walking through the water
두 λ‚¨μž are walking through the water
Two men
두 λ‚¨μž
4.2
The little girl in a pink shirt is running under a tree in the desert
뢄홍색 μ…”μΈ λ₯Ό μž…μ€ μ–΄λ¦° μ†Œλ…€ is running under a tree in the desert
The little girl in a pink shirt
뢄홍색 μ…”μΈ λ₯Ό μž…μ€ μ–΄λ¦° μ†Œλ…€
There is no girl wearing jeans and a pink shirt and running
There is 청바지와 뢄홍색 μ…”μΈ λ₯Ό μž…κ³  λ‹¬λ¦¬λŠ” μ—¬μžλŠ” μ—†μ–΄μš”
no girl wearing jeans and a pink shirt and running
청바지와 뢄홍색 μ…”μΈ λ₯Ό μž…κ³  λ‹¬λ¦¬λŠ” μ—¬μžλŠ” μ—†μ–΄μš”
2.5
A few children are jumping on a trampoline
λͺ‡ λͺ…μ˜ 아이듀 are jumping on a trampoline
A few children
λͺ‡ λͺ…μ˜ 아이듀
Two boy are playing on a trampoline
두 μ†Œλ…„ are playing on a trampoline
Two boy
두 μ†Œλ…„
4.1
The man is dancing
κ·Έ λ‚¨μž is dancing
The man
κ·Έ λ‚¨μž
Three women are standing still
μ„Έ λͺ…μ˜ μ—¬μ„± are standing still
Three women
μ„Έ λͺ…μ˜ μ—¬μ„±
1.7
There is no person cutting an onion
There is μ–‘νŒŒλ₯Ό 자λ₯΄λŠ” μ‚¬λžŒμ΄ μ—†μ–΄μš”
no person cutting an onion
μ–‘νŒŒλ₯Ό 자λ₯΄λŠ” μ‚¬λžŒμ΄ μ—†μ–΄μš”
A person is cutting an onion
μ‚¬λžŒ is cutting an onion
A person
μ‚¬λžŒ
4
A man in blue has a yellow ball in the mitt
νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ λ‚¨μž has a yellow ball in the mitt
A man in blue
νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ λ‚¨μž
A man is jumping rope outside
ν•œ λ‚¨μž is jumping rope outside
A man
ν•œ λ‚¨μž
1.2
A monkey is kicking a person
μ›μˆ­μ΄ is kicking a person
A monkey
μ›μˆ­μ΄
A person is being kicked by a monkey
μ‚¬λžŒ is being kicked by a monkey
A person
μ‚¬λžŒ
4.9
Little kids are playing in a water fountain in front of lots of people
μž‘μ€ 아이듀 are playing in a water fountain in front of lots of people
Little kids
μž‘μ€ 아이듀
Little kids are playing in a water fountain in front of few people
μž‘μ€ 아이듀 are playing in a water fountain in front of few people
Little kids
μž‘μ€ 아이듀
4.1
Two men are swimming in deep water
두 λ‚¨μž are swimming in deep water
Two men
두 λ‚¨μž
Two men are standing in deep water
두 λ‚¨μž are standing in deep water
Two men
두 λ‚¨μž
3.8
Three young men are running , jumping and kicking near a vending machine
μ„Έ λͺ…μ˜ μ²­λ…„ are running , jumping and kicking near a vending machine
Three young men
μ„Έ λͺ…μ˜ μ²­λ…„
Three men are jumping on a wall
μ„Έ λ‚¨μž are jumping on a wall
Three men
μ„Έ λ‚¨μž
2.8
A small boy is playing with a dog
μž‘μ€ μ†Œλ…„ is playing with a dog
A small boy
μž‘μ€ μ†Œλ…„
The small boy is playing with the dog
μž‘μ€ μ†Œλ…„ is playing with the dog
The small boy
μž‘μ€ μ†Œλ…„
5
The man is talking about the telephone
κ·Έ λ‚¨μž is talking about the telephone
The man
κ·Έ λ‚¨μž
The man is talking on the telephone
κ·Έ λ‚¨μž is talking on the telephone
The man
κ·Έ λ‚¨μž
3.6
A dog is opening a can of food
개 is opening a can of food
A dog
개
A dog is closing a can of food
개 is closing a can of food
A dog
개
3
A cyclist is biking in a snowy forest in the dark
μžμ „κ±° νƒ€λŠ” μ‚¬λžŒ is biking in a snowy forest in the dark
A cyclist
μžμ „κ±° νƒ€λŠ” μ‚¬λžŒ
The rider is biking in the snow and wearing a red jacket
라이더 is biking in the snow and wearing a red jacket
The rider
라이더
3.3
A woman is cracking some eggs outside a bowl
μ—¬μž is cracking some eggs outside a bowl
A woman
μ—¬μž
A man is participating in a bmx race
ν•œ λ‚¨μž is participating in a bmx race
A man
ν•œ λ‚¨μž
1
A woman is scrubbing a zucchini with a vegetable brush
μ—¬μž is scrubbing a zucchini with a vegetable brush
A woman
μ—¬μž
A person is scrubbing a zucchini
μ‚¬λžŒ is scrubbing a zucchini
A person
μ‚¬λžŒ
4.7
A black dog is jumping off a dock into a pond
검은 개 is jumping off a dock into a pond
A black dog
검은 개
A white dog is jumping from a dock into the water
흰 개 is jumping from a dock into the water
A white dog
흰 개
3.8
A steak is being rinsed with water by a person
μŠ€ν…Œμ΄ν¬ is being rinsed with water by a person
A steak
μŠ€ν…Œμ΄ν¬
A person is rinsing a steak with water
μ‚¬λžŒ is rinsing a steak with water
A person
μ‚¬λžŒ
5
The girl in a blue coverall is painting
νŒŒλž€ μž‘μ—…λ³΅μ„ μž…μ€ μ†Œλ…€ is painting
The girl in a blue coverall
νŒŒλž€ μž‘μ—…λ³΅μ„ μž…μ€ μ†Œλ…€
The girl in the blue coverall is painting
νŒŒλž€ μž‘μ—…λ³΅μ„ μž…μ€ μ†Œλ…€ is painting
The girl in the blue coverall
νŒŒλž€ μž‘μ—…λ³΅μ„ μž…μ€ μ†Œλ…€
4.9
The man is drawing
κ·Έ λ‚¨μž is drawing
The man
κ·Έ λ‚¨μž
There is no man drawing
There is κ·Έλ¦Ό κ·Έλ¦¬λŠ” μ‚¬λžŒ μ—†μŒ
no man drawing
κ·Έλ¦Ό κ·Έλ¦¬λŠ” μ‚¬λžŒ μ—†μŒ
3.4
Some football players in red and white are jumping and hugging
빨간색과 ν°μƒ‰μ˜ 일뢀 좕ꡬ μ„ μˆ˜ are jumping and hugging
Some football players in red and white
빨간색과 ν°μƒ‰μ˜ 일뢀 좕ꡬ μ„ μˆ˜
Football players in red and white are jumping and hugging each other
빨간색과 ν°μƒ‰μ˜ 좕ꡬ μ„ μˆ˜ are jumping and hugging each other
Football players in red and white
빨간색과 ν°μƒ‰μ˜ 좕ꡬ μ„ μˆ˜
4.8
A man is playing a bamboo flute
ν•œ λ‚¨μž is playing a bamboo flute
A man
ν•œ λ‚¨μž
A flute is being played by the man
ν”Œλ£¨νŠΈ is being played by the man
A flute
ν”Œλ£¨νŠΈ
4.3
A barefoot man in pajamas is looking toward the sky and is standing on the tennis court
잠옷 차림의 맨발의 λ‚¨μž is looking toward the sky and is standing on the tennis court
A barefoot man in pajamas
잠옷 차림의 맨발의 λ‚¨μž
A man is wearing a blue shirt and walking barefoot on a tennis court
ν•œ λ‚¨μž is wearing a blue shirt and walking barefoot on a tennis court
A man
ν•œ λ‚¨μž
3.4
A boy is sitting in a seat
μ†Œλ…„ is sitting in a seat
A boy
μ†Œλ…„
A toddler is sitting down
μœ μ•„ is sitting down
A toddler
μœ 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—¬μž is speaking on her cell phone and is keeping a purse and a yellow bag on the near ledge
A woman
μ—¬μž
A woman is silent and is leaving a purse and a yellow bag on the near ledge
μ—¬μž is silent and is leaving a purse and a yellow bag on the near ledge
A woman
μ—¬μž
3.3
A black dog and a small white and black dog are looking up at a kitchen countertop
검은 κ°œμ™€ μž‘μ€ 흰색과 검은색 개 are looking up at a kitchen countertop
A black dog and a small white and black dog
검은 κ°œμ™€ μž‘μ€ 흰색과 검은색 개
A large dog and a small dog are standing next to the kitchen counter and are investigating
큰 κ°œμ™€ μž‘μ€ 개 are standing next to the kitchen counter and are investigating
A large dog and a small dog
큰 κ°œμ™€ μž‘μ€ 개
4.2
An elderly woman is sitting on a bench and is wearing a gray jacket and black pants
노인 μ—¬μ„± is sitting on a bench and is wearing a gray jacket and black pants
An elderly woman
노인 μ—¬μ„±
An old person is sitting on a bench
노인 is sitting on a bench
An old person
노인
4
A person is not quickly chopping mushrooms with a knife
μ‚¬λžŒ is not quickly chopping mushrooms with a knife
A person
μ‚¬λžŒ
A person is quickly chopping mushrooms with a knife
μ‚¬λžŒ is quickly chopping mushrooms with a knife
A person
μ‚¬λžŒ
3.5
A man is diving off a cliff
ν•œ λ‚¨μž is diving off a cliff
A man
ν•œ λ‚¨μž
There is no man riding a motorcycle
There is μ˜€ν† λ°”μ΄ νƒ€λŠ” μ‚¬λžŒ μ—†μŒ
no man riding a motorcycle
μ˜€ν† λ°”μ΄ νƒ€λŠ” μ‚¬λžŒ μ—†μŒ
1.9
The woman is slicing an onion with a knife
μ—¬μž is slicing an onion with a knife
The woman
μ—¬μž
A man is preparing a dish
ν•œ λ‚¨μž is preparing a dish
A man
ν•œ λ‚¨μž
2.2
A woman is driving a car and is talking to the man who is seated beside her
μ—¬μž is driving a car and is talking to the man who is seated beside her
A woman
μ—¬μž
There is no woman driving a car and talking to the man seated beside her
There is μ°¨λ₯Ό μš΄μ „ν•˜λ©΄μ„œ μ˜†μ— 앉은 λ‚¨μžμ™€ 이야기λ₯Ό λ‚˜λˆ„λŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
no woman driving a car and talking to the man seated beside her
μ°¨λ₯Ό μš΄μ „ν•˜λ©΄μ„œ μ˜†μ— 앉은 λ‚¨μžμ™€ 이야기λ₯Ό λ‚˜λˆ„λŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
4.7
A man and a woman are eating
λ‚¨μžμ™€ μ—¬μž are eating
A man and a woman
λ‚¨μžμ™€ μ—¬μž
A man and a woman are having a conversation
λ‚¨μžμ™€ μ—¬μž are having a conversation
A man and a woman
λ‚¨μžμ™€ μ—¬μž
2.8
A man is athletically jumping a wall
ν•œ λ‚¨μž is athletically jumping a wall
A man
ν•œ λ‚¨μž
A man is jumping onto a low wall
ν•œ λ‚¨μž is jumping onto a low wall
A man
ν•œ λ‚¨μž
4
There is no man eating a bowl of cereal
There is μ‹œλ¦¬μ–Ό ν•œ 그릇을 λ¨ΉλŠ” μ‚¬λžŒμ€ μ—†μ–΄μš”
no man eating a bowl of cereal
μ‹œλ¦¬μ–Ό ν•œ 그릇을 λ¨ΉλŠ” μ‚¬λžŒμ€ μ—†μ–΄μš”
A man is eating a bowl of cereal
ν•œ λ‚¨μž is eating a bowl of cereal
A man
ν•œ λ‚¨μž
4
A dog is pushing a toddler into a rain puddle
개 is pushing a toddler into a rain puddle
A dog
개
A dog is pulling a toddler out of a rain puddle
개 is pulling a toddler out of a rain puddle
A dog
개
3.5
The man is not dancing
κ·Έ λ‚¨μž is not dancing
The man
κ·Έ λ‚¨μž
A woman is dancing
μ—¬μž is dancing
A woman
μ—¬μž
3.3
A young couple is lying on a bed together
μ Šμ€ λΆ€λΆ€ is lying on a bed together
A young couple
μ Šμ€ λΆ€λΆ€
A young couple is not lying in bed
μ Šμ€ λΆ€λΆ€ is not lying in bed
A young couple
μ Šμ€ λΆ€λΆ€
3.7
Someone is checking the email
Someone is checking 이메일
the email
이메일
Someone is reading the email
Someone is reading 이메일
the email
이메일
4.4
A female wearing pink gloves and a brown jacket is smiling in the snow
뢄홍색 μž₯κ°‘κ³Ό κ°ˆμƒ‰ μž¬ν‚·μ„ μž…μ€ μ—¬μ„± is smiling in the snow
A female wearing pink gloves and a brown jacket
뢄홍색 μž₯κ°‘κ³Ό κ°ˆμƒ‰ μž¬ν‚·μ„ μž…μ€ μ—¬μ„±
The female wearing pink gloves and a brown jacket is smiling in the snow
뢄홍색 μž₯κ°‘κ³Ό κ°ˆμƒ‰ μž¬ν‚·μ„ μž…μ€ μ—¬μ„± is smiling in the snow
The female wearing pink gloves and a brown jacket
뢄홍색 μž₯κ°‘κ³Ό κ°ˆμƒ‰ μž¬ν‚·μ„ μž…μ€ μ—¬μ„±
5
The people are walking on the road beside a beautiful waterfall
μ‚¬λžŒλ“€ are walking on the road beside a beautiful waterfall
The people
μ‚¬λžŒλ“€
A waterfall is flowing calmly into a shallow pool
폭포 is flowing calmly into a shallow pool
A waterfall
폭포
2.7
The adults and children are not gathered near an outdoor seating arrangement
μ–΄λ₯Έλ„ 아이도 are not gathered near an outdoor seating arrangement
The adults and children
μ–΄λ₯Έλ„ 아이도
The adults and children are being gathered near an outdoor seating arrangement
μ–΄λ₯Έλ„ 아이도 are being gathered near an outdoor seating arrangement
The adults and children
μ–΄λ₯Έλ„ 아이도
4.4
The monkey is brushing a bull dog
μ›μˆ­μ΄ is brushing a bull dog
The monkey
μ›μˆ­μ΄
The monkey is brushing the dog
μ›μˆ­μ΄ is brushing the dog
The monkey
μ›μˆ­μ΄
4.6
Two dogs on a lawn are playing with a plastic toy
μž”λ””λ°­μ— 개 두 마리 are playing with a plastic toy
Two dogs on a lawn
μž”λ””λ°­μ— 개 두 마리
Two dogs are running and catching a tennis ball
개 두 마리 are running and catching a tennis ball
Two dogs
개 두 마리
3.8
People are walking outside a building that has many murals on it
People are walking outside λ²½ν™”κ°€ λ§Žμ€ 건물
a building that has many murals on it
λ²½ν™”κ°€ λ§Žμ€ 건물
Several people are in front of a colorful building
μ—¬λŸ¬ μ‚¬λžŒ are in front of a colorful building
Several people
μ—¬λŸ¬ μ‚¬λžŒ
3.7
A brown and white dog is jumping in the air with a tennis ball in its mouth
κ°ˆμƒ‰κ³Ό 흰색 개 is jumping in the air with a tennis ball in its mouth
A brown and white dog
κ°ˆμƒ‰κ³Ό 흰색 개
A brown and white dog is resting on the ground with a tennis ball in its mouth
κ°ˆμƒ‰κ³Ό 흰색 개 is resting on the ground with a tennis ball in its mouth
A brown and white dog
κ°ˆμƒ‰κ³Ό 흰색 개
3.4
Three women are standing still
μ„Έ λͺ…μ˜ μ—¬μ„± are standing still
Three women
μ„Έ λͺ…μ˜ μ—¬μ„±
Three women are dancing
μ„Έ λͺ…μ˜ μ—¬μ„± are dancing
Three women
μ„Έ λͺ…μ˜ μ—¬μ„±
2.8
There is no man singing and playing the guitar
There is λ…Έλž˜ν•˜κ³  기타λ₯Ό μΉ˜λŠ” μ‚¬λžŒμ€ μ—†μ–΄μš”
no man singing and playing the guitar
λ…Έλž˜ν•˜κ³  기타λ₯Ό μΉ˜λŠ” μ‚¬λžŒμ€ μ—†μ–΄μš”
A man is playing a guitar
ν•œ λ‚¨μž is playing a guitar
A man
ν•œ λ‚¨μž
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—¬μž is cutting some meat into pieces
A woman
μ—¬μž
4.8
A playing device is amusing a cat
μž¬μƒ μž₯치 is amusing a cat
A playing device
μž¬μƒ μž₯치
The boy is playing in the mud
κ·Έ μ†Œλ…„ is playing in the mud
The boy
κ·Έ μ†Œλ…„
1
Three men are jumping on a wall
μ„Έ λ‚¨μž are jumping on a wall
Three men
μ„Έ λ‚¨μž
Three men are jumping off a wall
μ„Έ λ‚¨μž are jumping off a wall
Three men
μ„Έ λ‚¨μž
4
A woman is dancing and singing in the rain
μ—¬μž is dancing and singing in the rain
A woman
μ—¬μž
A woman is dancing and singing alone
μ—¬μž is dancing and singing alone
A woman
μ—¬μž
4
The woman is not picking up and holding a baby kangaroo
μ—¬μž is not picking up and holding a baby kangaroo
The woman
μ—¬μž
A woman is picking up and holding a baby kangaroo in her arms
μ—¬μž is picking up and holding a baby kangaroo in her arms
A woman
μ—¬μž
3.7
A dog is rolling from side to side
개 is rolling from side to side
A dog
개
There is no puppy rolling
There is κ°•μ•„μ§€ 둀링 κΈˆμ§€
no puppy rolling
κ°•μ•„μ§€ 둀링 κΈˆμ§€
3.6
A squirrel is running around in circles
λ‹€λžŒμ₯ is running around in circles
A squirrel
λ‹€λžŒμ₯
An animal is running around in circles
동물 is running around in circles
An animal
동물
4.6
The man surrounded by photographers is wearing a gray suit and glasses
μ‚¬μ§„μž‘κ°€λ“€μ—κ²Œ λ‘˜λŸ¬μ‹ΈμΈ λ‚¨μž is wearing a gray suit and glasses
The man surrounded by photographers
μ‚¬μ§„μž‘κ°€λ“€μ—κ²Œ λ‘˜λŸ¬μ‹ΈμΈ λ‚¨μž
A man in a suit is being surrounded by photographers
양볡을 μž…μ€ λ‚¨μž is being surrounded by photographers
A man in a suit
양볡을 μž…μ€ λ‚¨μž
4.6
A woman is wearing a colorful shirt and a lot of jewelry
μ—¬μž is wearing a colorful shirt and a lot of jewelry
A woman
μ—¬μž
A man is wearing a colorful shirt and a lot of jewelry
ν•œ λ‚¨μž is wearing a colorful shirt and a lot of jewelry
A man
ν•œ λ‚¨μž
3.6
The woman isn ' t pouring oil into a skillet
μ—¬μž isn ' t pouring oil into a skillet
The woman
μ—¬μž
The woman is pouring oil into a skillet
μ—¬μž is pouring oil into a skillet
The woman
μ—¬μž
3.6
A squirrel is running in circles
λ‹€λžŒμ₯ is running in circles
A squirrel
λ‹€λžŒμ₯
An animal is running in circles
동물 is running in circles
An animal
동물
4.4
Three boys in karate costumes aren ' t fighting
가라데 μ˜μƒμ„ μž…μ€ μ„Έ μ†Œλ…„ aren ' t fighting
Three boys in karate costumes
가라데 μ˜μƒμ„ μž…μ€ μ„Έ μ†Œλ…„
Three boys in karate costumes are fighting
가라데 μ˜μƒμ„ μž…μ€ μ„Έ μ†Œλ…„ are fighting
Three boys in karate costumes
가라데 μ˜μƒμ„ μž…μ€ μ„Έ μ†Œλ…„
3.3
A dog is chasing a ball
개 is chasing a ball
A dog
개
A blue ball is being caught by the dog
νŒŒλž€ 곡 is being caught by the dog
A blue ball
νŒŒλž€ 곡
3.7
A woman is walking the dog down the street
μ—¬μž is walking the dog down the street
A woman
μ—¬μž
The woman is walking the dog
μ—¬μž is walking the dog
The woman
μ—¬μž
4.4
A yellow dog is running down a sandy path
λ…Έλž€ 개 is running down a sandy path
A yellow dog
λ…Έλž€ 개
A golden retriever is running
골든 λ¦¬νŠΈλ¦¬λ²„ is running
A golden retriever
골든 λ¦¬νŠΈλ¦¬λ²„
3.3
There is no woman beating two eggs in a bowl and using a whisk made of wire
There is 그릇에 κ³„λž€ 두 개λ₯Ό λ„£κ³  μ² μ‚¬λ‘œ λ§Œλ“  κ±°ν’ˆκΈ°λ₯Ό μ‚¬μš©ν•˜λŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
no woman beating two eggs in a bowl and using a whisk made of wire
그릇에 κ³„λž€ 두 개λ₯Ό λ„£κ³  μ² μ‚¬λ‘œ λ§Œλ“  κ±°ν’ˆκΈ°λ₯Ό μ‚¬μš©ν•˜λŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
A man wearing a dyed black shirt is sitting at the table and laughing
κ²€μ€μƒ‰μœΌλ‘œ μ—Όμƒ‰λœ μ…”μΈ λ₯Ό μž…μ€ λ‚¨μž is sitting at the table and laughing
A man wearing a dyed black shirt
κ²€μ€μƒ‰μœΌλ‘œ μ—Όμƒ‰λœ μ…”μΈ λ₯Ό μž…μ€ λ‚¨μž
1.2
There is no man squatting in brush and taking a photograph
There is 덀뢈 속에 μͺΌκ·Έλ¦¬κ³  앉아 사진을 μ°λŠ” μ‚¬λžŒμ€ μ—†λ‹€
no man squatting in brush and taking a photograph
덀뢈 속에 μͺΌκ·Έλ¦¬κ³  앉아 사진을 μ°λŠ” μ‚¬λžŒμ€ μ—†λ‹€
A man is crouching and holding a camera
ν•œ λ‚¨μž is crouching and holding a camera
A man
ν•œ λ‚¨μž
3.2
The woman is putting makeup on the man
μ—¬μž is putting makeup on the man
The woman
μ—¬μž
A woman is painting a man ' s face
μ—¬μž is painting a man ' s face
A woman
μ—¬μž
4.4
An adult is in the amphitheater and is talking to a boy
성인 is in the amphitheater and is talking to a boy
An adult
성인
The man and the boy are standing at the top of the stairs , which are outdoors
κ·Έ λ‚¨μžμ™€ μ†Œλ…„ are standing at the top of the stairs , which are outdoors
The man and the boy
κ·Έ λ‚¨μžμ™€ μ†Œλ…„
3
Two bikes are being ridden by two people
μžμ „κ±° 두 λŒ€ are being ridden by two people
Two bikes
μžμ „κ±° 두 λŒ€
Two people are riding a bike
두 μ‚¬λžŒ are riding a bike
Two people
두 μ‚¬λžŒ
4.6
There is no girl playing the piano
There is ν”Όμ•„λ…Έ μΉ˜λŠ” μ—¬μž μ—†μ–΄
no girl playing the piano
ν”Όμ•„λ…Έ μΉ˜λŠ” μ—¬μž μ—†μ–΄
A little girl is playing a grand piano on stage
μž‘μ€ μ†Œλ…€ is playing a grand piano on stage
A little girl
μž‘μ€ μ†Œλ…€
4.3
A baby is crawling happily
μ•„κΈ° is crawling happily
A baby
μ•„κΈ°
A baby is cheering another baby
μ•„κΈ° is cheering another baby
A baby
μ•„κΈ°
2.7
People in costumes are sitting in the street
μ˜μƒμ„ μž…μ€ μ‚¬λžŒλ“€ are sitting in the street
People in costumes
μ˜μƒμ„ μž…μ€ μ‚¬λžŒλ“€
People in costumes are walking around in the street
μ˜μƒμ„ μž…μ€ μ‚¬λžŒλ“€ are walking around in the street
People in costumes
μ˜μƒμ„ μž…μ€ μ‚¬λžŒλ“€
2.7
A little girl and a woman wearing a yellow shirt are getting splashed near a fountain
λ…Έλž€ μ…”μΈ λ₯Ό μž…μ€ μ–΄λ¦° μ†Œλ…€μ™€ μ—¬μž are getting splashed near a fountain
A little girl and a woman wearing a yellow shirt
λ…Έλž€ μ…”μΈ λ₯Ό μž…μ€ μ–΄λ¦° μ†Œλ…€μ™€ μ—¬μž
A young girl is playing on the edge of a fountain and an older woman is watching her
μ–΄λ¦° μ†Œλ…€ is playing on the edge of a fountain and an older woman is watching her
A young girl
μ–΄λ¦° μ†Œλ…€
3.4
A young child is splashing in the water
μ–΄λ¦° 아이 is splashing in the water
A young child
μ–΄λ¦° 아이
The young child is splashing in the water
μ–΄λ¦° 아이 is splashing in the water
The young child
μ–΄λ¦° 아이
4.9
The man is cleaning the drawing on the board
κ·Έ λ‚¨μž is cleaning the drawing on the board
The man
κ·Έ λ‚¨μž
The man is erasing the drawing on the board
κ·Έ λ‚¨μž is erasing the drawing on the board
The man
κ·Έ λ‚¨μž
4.6
The woman is putting pasta into a dish
μ—¬μž is putting pasta into a dish
The woman
μ—¬μž
A woman is pulling some sticky goo out of a bowl
μ—¬μž is pulling some sticky goo out of a bowl
A woman
μ—¬μž
2.9
One white dog and one black one are cheerfully running side by side on the grass
흰 개 ν•œ λ§ˆλ¦¬μ™€ 검은 개 ν•œ 마리 are cheerfully running side by side on the grass
One white dog and one black one
흰 개 ν•œ λ§ˆλ¦¬μ™€ 검은 개 ν•œ 마리
A black and a white dog are joyfully running on the grass
검은색과 흰색 개 are joyfully running on the grass
A black and a white dog
검은색과 흰색 개
4.4
There is no lady mixing a meat mixture in a bowl
There is 그릇에 κ³ κΈ° ν˜Όν•©λ¬Όμ„ μ„žλŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
no lady mixing a meat mixture in a bowl
그릇에 κ³ κΈ° ν˜Όν•©λ¬Όμ„ μ„žλŠ” μ—¬μžλŠ” μ—†μŠ΅λ‹ˆλ‹€
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—¬μž is wearing a blue shirt and walking barefoot on a tennis court
A woman
μ—¬μž
A barefoot man in pajamas is looking toward the sky and is walking on the tennis court
잠옷 차림의 맨발의 λ‚¨μž is looking toward the sky and is walking on the tennis court
A barefoot man in pajamas
잠옷 차림의 맨발의 λ‚¨μž
3.1
A toddler is playing with a plastic scooter toy
μœ μ•„ is playing with a plastic scooter toy
A toddler
μœ μ•„
A woman in blue has a yellow ball in the mitt
νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ μ—¬μž has a yellow ball in the mitt
A woman in blue
νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ μ—¬μž
1
A man is rock climbing , pausing and calculating the route
ν•œ λ‚¨μž is rock climbing , pausing and calculating the route
A man
ν•œ λ‚¨μž
A man is rock climbing and a city and a bay are in the background
ν•œ λ‚¨μž is rock climbing and a city and a bay are in the background
A man
ν•œ λ‚¨μž
3.3
The lady is peeling the potato
μˆ™λ…€λΆ„ is peeling the potato
The lady
μˆ™λ…€λΆ„
A woman is peeling a potato
μ—¬μž is peeling a potato
A woman
μ—¬μž
5
The man is doing floor exercises
κ·Έ λ‚¨μž is doing floor exercises
The man
κ·Έ λ‚¨μž
A person is doing exercises
μ‚¬λžŒ is doing exercises
A person
μ‚¬λžŒ
4.3
A woman in a purple top is walking a bicycle between two stone columns
보라색 μƒμ˜λ₯Ό μž…μ€ μ—¬μž is walking a bicycle between two stone columns
A woman in a purple top
보라색 μƒμ˜λ₯Ό μž…μ€ μ—¬μž
A girl dressed in purple and blue is slowly walking beside her bike at night
보라색과 νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ μ†Œλ…€ is slowly walking beside her bike at night
A girl dressed in purple and blue
보라색과 νŒŒλž€μƒ‰ μ˜·μ„ μž…μ€ μ†Œλ…€
3.5
The woman is not pouring oil into the pan
μ—¬μž is not pouring oil into the pan
The woman
μ—¬μž
The boy is playing the piano
κ·Έ μ†Œλ…„ is playing the piano
The boy
κ·Έ μ†Œλ…„
1
Two people are in the snow , wearing clothes that provide camouflage
두 μ‚¬λžŒ are in the snow , wearing clothes that provide camouflage
Two people
두 μ‚¬λžŒ
Two men are walking two dogs with golden coats in the snow
두 λ‚¨μž are walking two dogs with golden coats in the snow
Two men
두 λ‚¨μž
3.2
A woman is petting a dog near a stone trail
μ—¬μž is petting a dog near a stone trail
A woman
μ—¬μž
A woman is petting a dog near a stone path
μ—¬μž is petting a dog near a stone path
A woman
μ—¬μž
4.9
A brown and white dog is jumping in the air with a tennis ball in its mouth
κ°ˆμƒ‰κ³Ό 흰색 개 is jumping in the air with a tennis ball in its mouth
A brown and white dog
κ°ˆμƒ‰κ³Ό 흰색 개
A dog is catching a ball in mid air
개 is catching a ball in mid air
A dog
개
3.9
The men are carefully putting suitcases into the trunk of a car
λ‚¨μžλ“€ are carefully putting suitcases into the trunk of a car
The men
λ‚¨μžλ“€
The men are putting suitcases into the trunk of a car
λ‚¨μžλ“€ are putting suitcases into the trunk of a car
The men
λ‚¨μžλ“€
4.6
There is no surfer riding the wave
There is νŒŒλ„λ₯Ό νƒ€λŠ” μ„œνΌλŠ” μ—†λ‹€
no surfer riding the wave
νŒŒλ„λ₯Ό νƒ€λŠ” μ„œνΌλŠ” μ—†λ‹€
A surfer is riding the wave
μ„œνΌ is riding the wave
A surfer
μ„œνΌ
3.8
A toddler is making a splash outside a blue paddling pool
μœ μ•„ is making a splash outside a blue paddling pool
A toddler
μœ μ•„
The child is splashing water in a small blue pool
아이 is splashing water in a small blue pool
The child
아이
4.2
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