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sentence (string)option1 (string)option2 (string)answer (string)
Ian volunteered to eat Dennis's menudo after already having a bowl because _ despised eating intestine.
Ian
Dennis
2
Ian volunteered to eat Dennis's menudo after already having a bowl because _ enjoyed eating intestine.
Ian
Dennis
1
He never comes to my home, but I always go to his house because the _ is smaller.
home
house
1
He never comes to my home, but I always go to his house because the _ is bigger.
home
house
2
Kyle doesn't wear leg warmers to bed, while Logan almost always does. _ is more likely to live in a colder climate.
Kyle
Logan
2
Kyle doesn't wear leg warmers to bed, while Logan almost always does. _ is more likely to live in a warmer climate.
Kyle
Logan
1
The GPS and map helped me navigate home. I got lost when the _ got turned upside down.
GPS
map
2
The GPS and map helped me navigate home. I got lost when the _ got turned off.
GPS
map
1
Emily looked up and saw Patricia racing by overhead, as _ was on the ramp .
Emily
Patricia
2
Emily looked up and saw Patricia racing by overhead, as _ was under the ramp .
Emily
Patricia
1
The treasury workers took the gold bars off of the trolley and stacked them in the safe until the _ was empty.
safe
trolley
2
The treasury workers took the gold bars off of the trolley and stacked them in the safe until the _ was full.
safe
trolley
1
He thought he had time to take the scenic route to the store, but the _ was under construction.
route
store
1
He thought he had time to take the scenic route to the store, but the _ was closed early.
route
store
2
She remembered how annoying it is to dust her wood chair so she bought a plastic table instead. Cleaning the _ is quick.
chair
table
2
She remembered how annoying it is to dust her wood chair so she bought a plastic table instead. Cleaning the _ is time consuming.
chair
table
1
To overcome behavioural bias, we need to focus more on changing the conscious actions instead of the unconscious actions because the _ actions are voluntary.
unconscious
conscious
2
To overcome behavioural bias, we need to focus more on changing the conscious actions instead of the unconscious actions because the _ actions are involuntary.
unconscious
conscious
1
Megan has a lot less money than Jessica because _ just bought the winning lottery ticket.
Megan
Jessica
2
Megan has a lot more money than Jessica because _ just bought the winning lottery ticket.
Megan
Jessica
1
I picked up a bag of peanuts and raisins for a snack. I wanted a sweeter snack out so I stored the _ for now.
raisins
peanuts
2
I picked up a bag of peanuts and raisins for a snack. I wanted a sweeter snack out so I ate the _ for now.
raisins
peanuts
1
Craig really loves to clean all the time but Derrick does not because _ is very neat.
Craig
Derrick
1
Craig really loves to clean all the time but Derrick does not because _ is very untidy.
Craig
Derrick
2
Dennis gave his hammer to Robert so he could hammer the nails. _ had plenty of hammers.
Dennis
Robert
1
Dennis gave his hammer to Robert so he could hammer the nails. _ had no hammers.
Dennis
Robert
2
The party was more interesting and uplifing than the funeral because the _ was rigid.
party
funeral
2
The party was more interesting and uplifting than the funeral because the _ was flexible.
party
funeral
1
The geese prefer to nest in the fields rather than the forests because in the _ predators are more hidden.
fields
forests
2
The geese prefer to nest in the fields rather than the forests because in the _ predators are very visible.
fields
forests
1
The plant took up too much room in the urn, because the _ was small.
plant
urn
2
The plant took up too much room in the urn, because the _ was large.
plant
urn
1
I installed a new bird house outside above the ground, but had to prop it up higher away from my cat since the _ was too low.
bird house
ground
1
I installed a new bird house outside above the ground, but had to prop it up higher away from my cat since the _ was too high.
bird house
ground
2
I prefer spa to the pool and I find the cold water in the _ not relaxing at the end of the day.
spa
pool
2
I prefer spa to the pool and I find the hot water in the _ relaxing at the end of the day.
spa
pool
1
Megan said it would be liberating to go out without makeup like Elena does. _ never wore makeup when she left the house.
Megan
Elena
2
Megan said it would be liberating to go out without makeup like Elena does. _ always wore makeup when she left the house.
Megan
Elena
1
Donald was richer than Leslie was because companies had found oil on the property of _ .
Donald
Leslie
1
Donald was poorer than Leslie was because companies had found oil on the property of _ .
Donald
Leslie
2
Feeling a draft, William asked Neil to please close the front door because _ was closer.
William
Neil
2
Feeling a draft, William asked Neil to please close the front door because _ was farther away.
William
Neil
1
Lindsey loved the taste of duck but Megan liked chicken better. _ ordered the kung pao chicken for dinner.
Lindsey
Megan
2
Lindsey loved the taste of duck but Megan liked chicken better. _ ordered the Peking Duck for dinner.
Lindsey
Megan
1
Elena would grab their inventory in the back of the store for Megan to sell each time because _ was a loyal customer.
Elena
Megan
2
Elena would grab their inventory in the back of the store for Megan to sell each time because _ was a businessperson.
Elena
Megan
1
Kenneth asked Dennis what time the dance was being held, but _ had forgotten.
Kenneth
Dennis
2
Kenneth asked Dennis what time the dance was being held, because _ had forgotten.
Kenneth
Dennis
1
Eric was teaching all of the proper stretches to Neil, because _ was using them to get paid.
Eric
Neil
1
Eric was teaching all of the proper stretches to Neil, because _ was using them to get in shape.
Eric
Neil
2
When buying a home, Patricia doesn't have as much money to spend as Tanya, so _ buys a 5 bedroom house.
Patricia
Tanya
2
When buying a home, Patricia doesn't have as much money to spend as Tanya, so _ buys a 1 bedroom house.
Patricia
Tanya
1
I wanted to buy small tweezer to fit in my wristlet, but they still didn't fit. The _ were too small.
tweezer
wristlet
2
I wanted to buy small tweezer to fit in my wristlet, but they still didn't fit. The _ were too big.
tweezer
wristlet
1
Handling emergencies was never very difficult for Kevin but it was for Nelson because _ could remain calm under pressure.
Kevin
Nelson
1
Handling emergencies was never very difficult for Kevin but it was for Nelson because _ wasn't able to remain calm under pressure.
Kevin
Nelson
2
Emily asked her sister Sarah if she needed any tampons or pads from the store, even though _ didn't because she had switched to using menstrual cups.
Emily
Sarah
1
Emily asked her sister Sarah if she needed any tampons or pads from the store, but _ didn't because she had switched to using menstrual cups.
Emily
Sarah
2
Elena had a horrendous coughing fit from the pollen, unlike Tanya , since _ was immune to allergies.
Elena
Tanya
2
Elena had a horrendous coughing fit from the pollen, unlike Tanya , since _ was susceptible to allergies.
Elena
Tanya
1
Rebecca picked up Amy to carpool to work every day, so _ asked for some gas money.
Rebecca
Amy
1
Rebecca picked up Amy to carpool to work every day, so _ offered some gas money.
Rebecca
Amy
2
Jennifer discreetly admitted to Erin that she didn't know how to apply eye shadow. _ was reassuring.
Jennifer
Erin
2
Jennifer discreetly admitted to Erin that she didn't know how to apply eye shadow. _ was embarrassed.
Jennifer
Erin
1
The employees threw a party and drank so much alcohol that they could not go into work the next day. The _ was loud.
party
alcohol
1
The employees threw a party and drank so much alcohol that they could not go into work the next day. The _ was copious.
party
alcohol
2
Once in Poland, Dennis enjoyed the trip more than Jason because _ had a shallow understanding of the Polish language.
Dennis
Jason
2
Once in Poland, Dennis enjoyed the trip more than Jason because _ had a deeper understanding of the Polish language.
Dennis
Jason
1
The house Benjamin designed for Joseph was beautiful, so _ used it in his portfolio.
Benjamin
Joseph
1
The house designed for Benjamin by Joseph was beautiful, so _ used it in his portfolio.
Benjamin
Joseph
2
John poured the entire bowl of fish into the hot pan on the stove until the _ was full.
bowl
pan
2
John poured the entire bowl of fish into the hot pan on the stove until the _ was empty.
bowl
pan
1
Sue wanted to practice meditation so she went to the gym with her class but the _ was too busy.
class
gym
2
Sue wanted to practice meditation so she went to the gym with her class but the _ was too late.
class
gym
1
Natalie thinks emeralds are beautiful gems but Betty does not. _ bought a necklace featuring a big diamond.
Natalie
Betty
2
Natalie thinks emeralds are beautiful gems but Betty does not. _ bought a necklace featuring a big emerald.
Natalie
Betty
1
Aaron hung his hunting rifle over the hearth after the most recent trip ended up with Benjamin making the fatal shot. _ was happy for him.
Aaron
Benjamin
1
Aaron hung his hunting rifle over the hearth after the most recent trip ended up with Benjamin making the fatal shot. _ was happy for himself.
Aaron
Benjamin
2
Kevin is far more physically versatile than Nick, because _ is an injured athlete in bed.
Kevin
Nick
2
Kevin is far more physically versatile than Nick, because _ is a seasoned athlete in training.
Kevin
Nick
1
Adam put handwash only clothes in the washer but Aaron washed them by hand as _ was lazy.
Adam
Aaron
1
Adam put handwash only clothes in the washer but Aaron washed them by hand as _ was conscientious.
Adam
Aaron
2
Kyle loves the flavor of apricots but Matthew likes plums better. _ couldn't wait for plum season.
Kyle
Matthew
2
Kyle loves the flavor of apricots but Matthew likes plums better. _ couldn't wait for apricot season.
Kyle
Matthew
1
Derrick was unable to stay focused at work unlike Justin, because _ had a fun job.
Derrick
Justin
2
Derrick was unable to stay focused at work unlike Justin, because _ had a boring job.
Derrick
Justin
1
Avery was debating on taking up German instead of Latin, because the _ was newer.
Latin
German
2
Avery was debating on taking up German instead of Latin, because the _ was old.
Latin
German
1
Kayla dated many more people at once than Betty, because _ was in an open relationship.
Kayla
Betty
2
Kayla dated many more people at once than Betty, because _ was in an exclusive relationship.
Kayla
Betty
1
Steven proudly showed Michael the mangoes he grew himself all this summer. _ is hardworking.
Steven
Michael
1
Steven proudly showed Michael the mangoes he grew himself all this summer. _ is astonished.
Steven
Michael
2
The letter that Joel has written is being read by Adam, so _ is the writer.
Joel
Adam
1
The letter that Joel has written is being read by Adam, so _ is the editor.
Joel
Adam
2
Kyle was more comfortable speaking in front of large groups than Nick, because _ had taken public speaking courses in college.
Kyle
Nick
1
Kyle was more comfortable speaking in front of large groups than Nick, because _ was not able to take public speaking courses in college.
Kyle
Nick
2
In the lagoon Emily swam in the nude while Felicia opted for a full body swimsuit. _ was very hesitant with showing their body.
Emily
Felicia
2
In the lagoon Emily swam in the nude while Felicia opted for a full body swimsuit. _ was very free with showing their body.
Emily
Felicia
1
Sarah Jane's watch smashed when the book hit it since the _ was too strong.
watch
book
2
Sarah Jane's watch smashed when the book hit it since the _ was too weak.
watch
book
1

Dataset Card for "winogrande"

Dataset Summary

WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires commonsense reasoning.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

winogrande_debiased

  • Size of downloaded dataset files: 3.24 MB
  • Size of the generated dataset: 1.52 MB
  • Total amount of disk used: 4.76 MB

An example of 'train' looks as follows.


winogrande_l

  • Size of downloaded dataset files: 3.24 MB
  • Size of the generated dataset: 1.63 MB
  • Total amount of disk used: 4.87 MB

An example of 'validation' looks as follows.


winogrande_m

  • Size of downloaded dataset files: 3.24 MB
  • Size of the generated dataset: 0.69 MB
  • Total amount of disk used: 3.93 MB

An example of 'validation' looks as follows.


winogrande_s

  • Size of downloaded dataset files: 3.24 MB
  • Size of the generated dataset: 0.45 MB
  • Total amount of disk used: 3.69 MB

An example of 'validation' looks as follows.


winogrande_xl

  • Size of downloaded dataset files: 3.24 MB
  • Size of the generated dataset: 5.32 MB
  • Total amount of disk used: 8.56 MB

An example of 'train' looks as follows.


Data Fields

The data fields are the same among all splits.

winogrande_debiased

  • sentence: a string feature.
  • option1: a string feature.
  • option2: a string feature.
  • answer: a string feature.

winogrande_l

  • sentence: a string feature.
  • option1: a string feature.
  • option2: a string feature.
  • answer: a string feature.

winogrande_m

  • sentence: a string feature.
  • option1: a string feature.
  • option2: a string feature.
  • answer: a string feature.

winogrande_s

  • sentence: a string feature.
  • option1: a string feature.
  • option2: a string feature.
  • answer: a string feature.

winogrande_xl

  • sentence: a string feature.
  • option1: a string feature.
  • option2: a string feature.
  • answer: a string feature.

Data Splits

name train validation test
winogrande_debiased 9248 1267 1767
winogrande_l 10234 1267 1767
winogrande_m 2558 1267 1767
winogrande_s 640 1267 1767
winogrande_xl 40398 1267 1767

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@InProceedings{ai2:winogrande,
title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
},
year={2019}
}

Contributions

Thanks to @thomwolf, @TevenLeScao, @patrickvonplaten, @lewtun for adding this dataset.

Models trained or fine-tuned on winogrande