Datasets:
GEM
/
ART

Tasks: unknown
Task Categories: reasoning
Languages: English
Multilinguality: unknown
Size Categories: unknown
Language Creators: unknown
Annotations Creators: automatically-created
Source Datasets: original
Licenses: apache-2.0
Dataset Preview Go to dataset viewer
gem_id (string)observation_1 (string)observation_2 (string)target (string)references (list)
"GEM-ART-train-0"
"The hayride was in October."
"It was the perfect start to the fall season."
"Keeping tradition we drank hot cocoa on the ride."
[ "Keeping tradition we drank hot cocoa on the ride." ]
"GEM-ART-train-1"
"Terry found 2 hundred dollars at work."
"He hated his decision and himself."
"Terry used that money to buy a new suit."
[ "Terry used that money to buy a new suit." ]
"GEM-ART-train-2"
"Jason was on his way to a football game."
"The man confirmed and the two set up a meet to exchange the wallet."
"he found a wallet and contacted the owner."
[ "he found a wallet and contacted the owner." ]
"GEM-ART-train-3"
"Kelly and her friend went to the river with their kayaks."
"They luckily swam to shore, but their kayaks were wrecked."
"Kelly and her friend weren't ready for the sudden rapids."
[ "Kelly and her friend weren't ready for the sudden rapids." ]
"GEM-ART-train-4"
"Ann needed pine cones for her art class."
"There, she collected her own pine cones for free!"
"Ann walked in the woods to find pine cones."
[ "Ann walked in the woods to find pine cones." ]
"GEM-ART-train-5"
"Sally liked soda pop."
"Her friends call her seltzer Sally now."
"Sally drinked soda pop four to six times a day."
[ "Sally drinked soda pop four to six times a day." ]
"GEM-ART-train-6"
"The boys all decided together to jump."
"They boys looked up at the boy on the cliff with disapproval."
"College friends went to Bermuda for spring break."
[ "College friends went to Bermuda for spring break." ]
"GEM-ART-train-7"
"I cleaned the bathroom."
"I was so relieved when I finished."
"I'd been putting it off for a week because it was so filthy."
[ "I'd been putting it off for a week because it was so filthy." ]
"GEM-ART-train-8"
"Gina wanted a boyfriend more than anything."
"Online dating has not been much more successful and she is still alone"
"Gina attempted to find a match on OKCupid."
[ "Gina attempted to find a match on OKCupid." ]
"GEM-ART-train-9"
"Frank wanted a new controller for his game console."
"Frank sent the package back and received a refund."
"Frank got the controller and it was broken!."
[ "Frank got the controller and it was broken!." ]
"GEM-ART-train-10"
"I went to my backyard to ride on the swings."
"My mom decided to clean the sting with some alcohol."
"A bee got under my shirt and stung me."
[ "A bee got under my shirt and stung me." ]
"GEM-ART-train-11"
"Sharon had a beautiful blue backpack that she loved."
"She had grabbed the wrong backpack off of the bus!"
"Sharon came home crying."
[ "Sharon came home crying." ]
"GEM-ART-train-12"
"Sam wanted to learn how to read."
"After months of studying, Sam became a great reader!"
"Sam went to school for reading."
[ "Sam went to school for reading." ]
"GEM-ART-train-13"
"Gerald had always eaten vanilla ice cream."
"From that day on, Gerald decided to try more new things."
"One day Gerald couldn't find any vanilla ice cream so he tired chocolate hazelnut and loved it."
[ "One day Gerald couldn't find any vanilla ice cream so he tired chocolate hazelnut and loved it." ]
"GEM-ART-train-14"
"I once bought a violin from a pawn shop."
"I sold the violin for 2,000 dollars."
"I found out it was worth a lot more."
[ "I found out it was worth a lot more." ]
"GEM-ART-train-15"
"Sean was walking through the park."
"He got a warning for littering in the park."
"Sean threw his trash in the grass in the park."
[ "Sean threw his trash in the grass in the park." ]
"GEM-ART-train-16"
"When I woke up this morning I was greeted by the sound of birds."
"Listening to birds in the morning makes me happy."
"Their chirping perked my spirits up."
[ "Their chirping perked my spirits up." ]
"GEM-ART-train-17"
"A man named Jake needed a new car."
"He got into the car and it was in pretty good shape."
"After years of saving he bought one."
[ "After years of saving he bought one." ]
"GEM-ART-train-18"
"Sam wanted to throw a party."
"Sam had a terrible hangover the next day."
"Sam bought tons of alcohol so people would have fun."
[ "Sam bought tons of alcohol so people would have fun." ]
"GEM-ART-train-19"
"Ted woke up very late one morning."
"Ted vowed never to sleep through his alarm again!"
"He had to rush to work and got a speeding ticket on the way."
[ "He had to rush to work and got a speeding ticket on the way." ]
"GEM-ART-train-20"
"Marty unzipped his jacket and drew a knife on the bully."
"Marty declined, and said he didn't sit with nerds."
"The nerds invited Marty to join them."
[ "The nerds invited Marty to join them." ]
"GEM-ART-train-21"
"Bill's family lived on a hill."
"They decided they didn't need it anyway, and moved."
"Bill bought a gun to protect his family."
[ "Bill bought a gun to protect his family." ]
"GEM-ART-train-22"
"I was hungry while staying up late."
"I returned to my movie with the snacks."
"I made nachos and popcorn in my kitchen."
[ "I made nachos and popcorn in my kitchen." ]
"GEM-ART-train-23"
"We attended a Christmas party in our apartment building tonight."
"We went home stuffed."
"There was a lot of food at the party."
[ "There was a lot of food at the party." ]
"GEM-ART-train-24"
"Eric hated his job."
"Finally he got a great new job!"
"Eric quit his job and applied for new ones."
[ "Eric quit his job and applied for new ones." ]
"GEM-ART-train-25"
"Daddy took us to the woods to camp."
"We had a wonderful time camping."
"It was not as scary as I thought."
[ "It was not as scary as I thought." ]
"GEM-ART-train-26"
"I love to stay up late and watch late night talk shows."
"I've switched to recording the shows and watching them during the day."
"I kept waking up late."
[ "I kept waking up late." ]
"GEM-ART-train-27"
"Irene was in the school choir."
"On concert night, everyone agreed Irene sang wonderfully!"
"Irene practiced every day for an upcoming concert."
[ "Irene practiced every day for an upcoming concert." ]
"GEM-ART-train-28"
"I woke up this morning and was so excited."
"Christmas is my favorite time of the year."
"It is Christmas and I get to open my presents."
[ "It is Christmas and I get to open my presents." ]
"GEM-ART-train-29"
"In high school, kids teased Tameka because she had short hair."
"A month later she removed the fake hair and was called a fake queen."
"Tameka got a wig and all the kids began to complement her."
[ "Tameka got a wig and all the kids began to complement her." ]
"GEM-ART-train-30"
"John forgot to take the garbage out two weeks in a row."
"John had to remove the garbage and pay a fine."
"John took all the garbage out at once."
[ "John took all the garbage out at once." ]
"GEM-ART-train-31"
"The children were excited to learn it had snowed overnight."
"It was a great way to spend the snowy day."
"School got cancelled and the children went sledding."
[ "School got cancelled and the children went sledding." ]
"GEM-ART-train-32"
"I was tired of being robbed, beaten and afraid when I was kid."
"Now I am not afraid of the bullies that used to bully me."
"I took karate lessons."
[ "I took karate lessons." ]
"GEM-ART-train-33"
"Toby liked to fish all the time."
"The hook pulled the hat off of his dad's head and into the water."
"He went fishing the other day."
[ "He went fishing the other day." ]
"GEM-ART-train-34"
"Mark wanted to find a good extra curricular activity to stay busy."
"He was relieved to have found an activity that he loved so much."
"Mark decided to try cross country."
[ "Mark decided to try cross country." ]
"GEM-ART-train-35"
"Kelly accidentally broke her mother's favorite vase."
"Kelly apologized and admitted to the truth afterwards."
"Kelly was tempted to lie to her mother but couldn't."
[ "Kelly was tempted to lie to her mother but couldn't." ]
"GEM-ART-train-36"
"I went to the playground when I was young."
"I had to get a bright green cast."
"I fell off the monkey bars and broke by leg."
[ "I fell off the monkey bars and broke by leg." ]
"GEM-ART-train-37"
"Greg had an addiction."
"He is glad."
"He finally got free of it."
[ "He finally got free of it." ]
"GEM-ART-train-38"
"Arnold was scared of needles."
"He panicked so much that he ended up fainting."
"Arnold had to get a shot anyway."
[ "Arnold had to get a shot anyway." ]
"GEM-ART-train-39"
"Kelly decided to take her favorite junk food items and redo them."
"She immediately told all her friends."
"Kelly made some new tasty foods."
[ "Kelly made some new tasty foods." ]
"GEM-ART-train-40"
"One of my favorite shows just got cancelled."
"Hopefully they read it and it helps."
"I wrote the producers an email."
[ "I wrote the producers an email." ]
"GEM-ART-train-41"
"When I was a kid, my mom and dad divorced."
"I showed up, but he did not show up that day."
"I was suppose to have a visitation with dad on one weekend."
[ "I was suppose to have a visitation with dad on one weekend." ]
"GEM-ART-train-42"
"David and I went to work at our grocery store."
"This was the biggest waste I've seen."
"David and I were told to throw out expired food."
[ "David and I were told to throw out expired food." ]
"GEM-ART-train-43"
"Rufus is running late after his English class."
"Rufus swears he will never be late again."
"Rufus was embarrassed by science teacher's sarcastic comment."
[ "Rufus was embarrassed by science teacher's sarcastic comment." ]
"GEM-ART-train-44"
"Dave was homeless and hated it."
"Dave still is homeless because he spends that money on alcohol."
"Dave, became more and more depressed and began drinking."
[ "Dave, became more and more depressed and began drinking." ]
"GEM-ART-train-45"
"Rick and a few friends headed to the beach."
"His friends thought it'd be funny, and left him there in deep trouble."
"Rick's friends buried him in the sand."
[ "Rick's friends buried him in the sand." ]
"GEM-ART-train-46"
"Galen was a barber on a cruise ship."
"They left the ship, married and started a family in Jamaica."
"Galen cut the hair of a pretty girl."
[ "Galen cut the hair of a pretty girl." ]
"GEM-ART-train-47"
"There was a man who worked at a job."
"He switched to a lighter pen after that."
"He got ink on his shirt."
[ "He got ink on his shirt." ]
"GEM-ART-train-48"
"Quentin notices that many of his friends have moved out of Manhattan."
"Finally Quentin has joined his friends in leaving Manhattan."
"Quentin got a job in another city."
[ "Quentin got a job in another city." ]
"GEM-ART-train-49"
"Donald got a delicious cake for his birthday."
"Donald threw up in the restroom due to overeating."
"Eating could not control his appetite when he saw the delicious meals."
[ "Eating could not control his appetite when he saw the delicious meals." ]
"GEM-ART-train-50"
"I was on a hike with my friend one day in a forest."
"Luckily, when we stopped falling, we were not hurt at all."
"We both slipped and fell down a long, steep hill."
[ "We both slipped and fell down a long, steep hill." ]
"GEM-ART-train-51"
"I was sitting in my math class."
"I told my parents what happened and they scolded the teacher."
"The teacher slapped me."
[ "The teacher slapped me." ]
"GEM-ART-train-52"
"Alex used a profanity at school one day."
"Alex hated it, and learned not to use those words again."
"Alex got in big trouble and was given detention."
[ "Alex got in big trouble and was given detention." ]
"GEM-ART-train-53"
"I bike to work every day."
"He gave me a $100 tip."
"a customer found that I bike into work."
[ "a customer found that I bike into work." ]
"GEM-ART-train-54"
"Two friends were talking to each other on the phone."
"He hung up the phone and pouted."
"One friend insulted the other when he became emotional."
[ "One friend insulted the other when he became emotional." ]
"GEM-ART-train-55"
"Ava got her navel pierced."
"Ava had to tell her mom so her mom could help her."
"Her navel got infected."
[ "Her navel got infected." ]
"GEM-ART-train-56"
"Jessica hate her mousy brown hair."
"Now she's learned to be happy with her natural hair color."
"Jessica saw someone with even worse hair than hers."
[ "Jessica saw someone with even worse hair than hers." ]
"GEM-ART-train-57"
"Bob wanted a grilled cheese sandwich for lunch."
"But then he realized he had no bread."
"Bob turned the stove and went to grab some bread."
[ "Bob turned the stove and went to grab some bread." ]
"GEM-ART-train-58"
"Bill loved to run."
"Bill is very sad that he will never be able to run again."
"Bill broke his leg."
[ "Bill broke his leg." ]
"GEM-ART-train-59"
"Owen loved to drink soda."
"The dentist told Owen to stop drinking soda for good."
"Owen drank so much soda that he had multiple cavities."
[ "Owen drank so much soda that he had multiple cavities." ]
"GEM-ART-train-60"
"A bus was driven by a mean old man."
"He gave them a mean face causing the people to take the next bus."
"The bus stopped near them."
[ "The bus stopped near them." ]
"GEM-ART-train-61"
"Hannah was feeling very stiff and inflexible."
"Hannah became stiffer over time."
"Hannah avoided doing any exercise because it was difficult."
[ "Hannah avoided doing any exercise because it was difficult." ]
"GEM-ART-train-62"
"Amy worked from home and had a question."
"Amy kept her caller informed of the delay and avoided escalation."
"She got into a fight with a caller."
[ "She got into a fight with a caller." ]
"GEM-ART-train-63"
"Sebastian wanted to play football on his friends team."
"Sebastian was happy that his practice paid off."
"Sebastian knew he would do well."
[ "Sebastian knew he would do well." ]
"GEM-ART-train-64"
"Jackie has been designated eighth grade hall monitor."
"The principal suspended her rowdy classmates."
"Jackie caught kids drawing on the walls."
[ "Jackie caught kids drawing on the walls." ]
"GEM-ART-train-65"
"Madison really wanted to buy a new car."
"A few months later she was able to use her tip money to buy a new car!"
"Madison got a job as a waitress."
[ "Madison got a job as a waitress." ]
"GEM-ART-train-66"
"Wilson was at a concert."
"Wilson was wet and smelled gross so he left."
"Wilson sweated a lot at the concert."
[ "Wilson sweated a lot at the concert." ]
"GEM-ART-train-67"
"Neil flew into Russia."
"Neil found the trip stimulating."
"He learned and saw a lot."
[ "He learned and saw a lot." ]
"GEM-ART-train-68"
"I collect old photographs."
"But I find it to be the most honest and accurate way to see the past."
"Some people don't think they tell the whole story."
[ "Some people don't think they tell the whole story." ]
"GEM-ART-train-69"
"My girlfriend make chicken and broccoli casserole for dinner."
"We just put it back in the oven to ensure we do not get sick."
"It was still cold in the middle."
[ "It was still cold in the middle." ]
"GEM-ART-train-70"
"I wanted to learn a blue collar trade."
"I had to drop out of the apprenticeship."
"I studied hard but just couldn't pick up on it."
[ "I studied hard but just couldn't pick up on it." ]
"GEM-ART-train-71"
"Ed had just received his first paycheck."
"But they took a ten percent fee!"
"Ed went to his bank to cash his check."
[ "Ed went to his bank to cash his check." ]
"GEM-ART-train-72"
"Sam stayed up all night working on his presentation."
"Missing his presentation at work, he was fired."
"Sam fell asleep and did not show up for work."
[ "Sam fell asleep and did not show up for work." ]
"GEM-ART-train-73"
"Carly and Simon decided to have a competition."
"He pronounced they'd made their beds equally well."
"they raced each other into the bedroom."
[ "they raced each other into the bedroom." ]
"GEM-ART-train-74"
"I went outside to water my plants one day."
"I freaked out and ran back inside."
"I saw a snake among the plants."
[ "I saw a snake among the plants." ]
"GEM-ART-train-75"
"Jim's cat would not stop meowing."
"After a few minutes, his cat got tired and fell asleep."
"Jim took his cat outside to play."
[ "Jim took his cat outside to play." ]
"GEM-ART-train-76"
"Mike was the star of the high school basketball team."
"A year later, Mike continued playing basketball in a wheelchair."
"Mike had a bad fall and hurt his back which paralyzed his legs."
[ "Mike had a bad fall and hurt his back which paralyzed his legs." ]
"GEM-ART-train-77"
"My cousin asked me if there was a point in my life that was tough."
"She cried and hugged me, admiring my bravery."
"I told my cousin about losing both my parents."
[ "I told my cousin about losing both my parents." ]
"GEM-ART-train-78"
"Nikki was at the library."
"Nikki got to know her and the girl taught her sign language."
"Nikki saw a little girl talking with her hands."
[ "Nikki saw a little girl talking with her hands." ]
"GEM-ART-train-79"
"Lana wanted to go to a party on Saturday night."
"Lana had a great time at her private party with Ann!"
"Lana couldn't make the party because she had to help Ann with chores."
[ "Lana couldn't make the party because she had to help Ann with chores." ]
"GEM-ART-train-80"
"Nathan was driving with Kane."
"He came to the hospital and Kane was taken in by a stretcher."
"Nate was worried about his friend."
[ "Nate was worried about his friend." ]
"GEM-ART-train-81"
"Greg had a problem."
"She said he would always be first in her heart."
"Greg told his girlfriend he had to move far away."
[ "Greg told his girlfriend he had to move far away." ]
"GEM-ART-train-82"
"Jamal is wrapping up his police officer training."
"Jamal becomes a police officer."
"Jamal worked hard to graduate."
[ "Jamal worked hard to graduate." ]
"GEM-ART-train-83"
"Roy inherited a grand piano."
"Soon he was a very talented pianist!"
"Roy found a teacher and started practicing a lot."
[ "Roy found a teacher and started practicing a lot." ]
"GEM-ART-train-84"
"Matt was driving home one night."
"Matt always paid more attention to the road after that."
"Matt Got into an accident after being distracted."
[ "Matt Got into an accident after being distracted." ]
"GEM-ART-train-85"
"Bob just bought a new couch for the living room."
"They soon realized it was silly to argue and they kept the furniture."
"Bob's wife said the couch didn't match the recliner."
[ "Bob's wife said the couch didn't match the recliner." ]
"GEM-ART-train-86"
"Anna needed a cloak as part of her school uniform."
"Then she sewed it on her cape to make it a cloak!"
"Anna found a piece of pretty fabric to add to her cloak."
[ "Anna found a piece of pretty fabric to add to her cloak." ]
"GEM-ART-train-87"
"Ben had been playing video games all day."
"His mom unplugged his TV and told him to listen to her."
"Ben's playing kept him from hearing his mom calling."
[ "Ben's playing kept him from hearing his mom calling." ]
"GEM-ART-train-88"
"My aunt is a nurse."
"It was hard work."
"My aunt had a long shift this weekend and was very tired."
[ "My aunt had a long shift this weekend and was very tired." ]
"GEM-ART-train-89"
"Peyton decided she needed a new haircut."
"She left the salon sad, but relieved that it would grow back quickly."
"Peyton's hairdresser cut too much off."
[ "Peyton's hairdresser cut too much off." ]
"GEM-ART-train-90"
"My husband told me I had to leave the house for a week."
"Next time my husband tells me to leave, I will refuse."
"I returned to find he'd redecorated with porn."
[ "I returned to find he'd redecorated with porn." ]
"GEM-ART-train-91"
"I decided I needed to finish a Sunday crossword."
"I read a fascinating article."
"I got distracted and started reading other things."
[ "I got distracted and started reading other things." ]
"GEM-ART-train-92"
"My husband and I went to the supermarket today to buy groceries."
"We paid for our groceries and were on our way."
"W found everything we were looking for."
[ "W found everything we were looking for." ]
"GEM-ART-train-93"
"My dog kept getting sick."
"She was even sicker than before."
"My dog accidentally ate something it should not have."
[ "My dog accidentally ate something it should not have." ]
"GEM-ART-train-94"
"Rita and Katie heard a noise coming from an abandoned house."
"It was a skunk making the noise!"
"Rita and Katie went into the house to investigate."
[ "Rita and Katie went into the house to investigate." ]
"GEM-ART-train-95"
"Jack was taking an important test."
"Jack was instantly relieved to see he got a 99%."
"Jack was determined to do well and studied hard."
[ "Jack was determined to do well and studied hard." ]
"GEM-ART-train-96"
"The Renose family loved to go on vacation every year."
"It turns out they were the ones and everyone laughs about it."
"That family walked around naked for a week."
[ "That family walked around naked for a week." ]
"GEM-ART-train-97"
"Perry was always made fun of."
"Now Perry has a beard down to his shoulders!"
"Perry decided to grow a beard."
[ "Perry decided to grow a beard." ]
"GEM-ART-train-98"
"I had no school today since it's Veteran's Day."
"As a result, we went home early."
"We were going to go to a movie and lunch but decided to go to the Veteran's Day parade."
[ "We were going to go to a movie and lunch but decided to go to the Veteran's Day parade." ]
"GEM-ART-train-99"
"I had appendicitis in 1963."
"I had my appendix out and was out of school for two weeks."
"I was rushed to the hospital."
[ "I was rushed to the hospital." ]
End of preview (truncated to 100 rows)

Dataset Card for GEM/ART

Link to Main Data Card

You can find the main data card on the GEM Website.

Dataset Summary

Abductive reasoning is inference to the most plausible explanation. For example, if Jenny finds her house in a mess when she returns from work, and remembers that she left a window open, she can hypothesize that a thief broke into her house and caused the mess, as the most plausible explanation. This data loader focuses on abductive NLG: a conditional English generation task for explaining given observations in natural language.

You can load the dataset via:

import datasets
data = datasets.load_dataset('GEM/ART')

The data loader can be found here.

website

Website

paper

OpenReview

authors

Chandra Bhagavatula (AI2), Ronan Le Bras (AI2), Chaitanya Malaviya (AI2), Keisuke Sakaguchi (AI2), Ari Holtzman (AI2, UW), Hannah Rashkin (AI2, UW), Doug Downey (AI2), Wen-tau Yih (AI2), Yejin Choi (AI2, UW)

Dataset Overview

Where to find the Data and its Documentation

Webpage

Website

Download

Google Storage

Paper

OpenReview

BibTex

@inproceedings{
Bhagavatula2020Abductive,
title={Abductive Commonsense Reasoning},
author={Chandra Bhagavatula and Ronan Le Bras and Chaitanya Malaviya and Keisuke Sakaguchi and Ari Holtzman and Hannah Rashkin and Doug Downey and Wen-tau Yih and Yejin Choi},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=Byg1v1HKDB}
}

Contact Name

Chandra Bhagavatulla

Contact Email

chandrab@allenai.org

Has a Leaderboard?

no

Languages and Intended Use

Multilingual?

no

Covered Languages

English

Whose Language?

Crowdworkers on the Amazon Mechanical Turk platform based in the U.S, Canada, U.K and Australia.

License

apache-2.0: Apache License 2.0

Intended Use

To study the viability of language-based abductive reasoning. Training and evaluating models to generate a plausible hypothesis to explain two given observations.

Primary Task

Reasoning

Credit

Curation Organization Type(s)

industry

Curation Organization(s)

Allen Institute for AI

Dataset Creators

Chandra Bhagavatula (AI2), Ronan Le Bras (AI2), Chaitanya Malaviya (AI2), Keisuke Sakaguchi (AI2), Ari Holtzman (AI2, UW), Hannah Rashkin (AI2, UW), Doug Downey (AI2), Wen-tau Yih (AI2), Yejin Choi (AI2, UW)

Funding

Allen Institute for AI

Who added the Dataset to GEM?

Chandra Bhagavatula (AI2), Ronan LeBras (AI2), Aman Madaan (CMU), Nico Daheim (RWTH Aachen University)

Dataset Structure

Data Fields

  • observation_1: A string describing an observation / event.
  • observation_2: A string describing an observation / event.
  • label: A string that plausibly explains why observation_1 and observation_2 might have happened.

How were labels chosen?

Explanations were authored by crowdworkers on the Amazon Mechanical Turk platform using a custom template designed by the creators of the dataset.

Example Instance

{
'gem_id': 'GEM-ART-validation-0',
'observation_1': 'Stephen was at a party.',
'observation_2': 'He checked it but it was completely broken.',
'label': 'Stephen knocked over a vase while drunk.'
}

Data Splits

  • train: Consists of training instances.
  • dev: Consists of dev instances.
  • test: Consists of test instances.

Dataset in GEM

Rationale for Inclusion in GEM

Why is the Dataset in GEM?

Abductive reasoning is a crucial capability of humans and ART is the first dataset curated to study language-based abductive reasoning.

Similar Datasets

no

Ability that the Dataset measures

Whether models can reason abductively about a given pair of observations.

GEM-Specific Curation

Modificatied for GEM?

no

Additional Splits?

no

Getting Started with the Task

Pointers to Resources

Previous Results

Previous Results

Measured Model Abilities

Whether models can reason abductively about a given pair of observations.

Metrics

BLEU, BERT-Score, ROUGE

Previous results available?

no

Dataset Curation

Original Curation

Sourced from Different Sources

no

Language Data

How was Language Data Obtained?

Crowdsourced

Where was it crowdsourced?

Amazon Mechanical Turk

Language Producers

Language producers were English speakers in U.S., Canada, U.K and Australia.

Topics Covered

No

Data Validation

validated by crowdworker

Was Data Filtered?

algorithmically

Filter Criteria

Adversarial filtering algorithm as described in the paper

Structured Annotations

Additional Annotations?

automatically created

Annotation Service?

no

Annotation Values

Each observation is associated with a list of COMET (https://arxiv.org/abs/1906.05317) inferences.

Any Quality Control?

none

Consent

Any Consent Policy?

no

Private Identifying Information (PII)

Contains PII?

no PII

Justification for no PII

The dataset contains day-to-day events. It does not contain names, emails, addresses etc.

Maintenance

Any Maintenance Plan?

no

Broader Social Context

Previous Work on the Social Impact of the Dataset

Usage of Models based on the Data

no

Impact on Under-Served Communities

Addresses needs of underserved Communities?

no

Discussion of Biases

Any Documented Social Biases?

no

Considerations for Using the Data

PII Risks and Liability

Potential PII Risk

None

Licenses

Copyright Restrictions on the Dataset

public domain

Copyright Restrictions on the Language Data

public domain

Known Technical Limitations

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