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text (string)label (class label)
Sunday afternoon walking through Venice in the sun with @user ️ ️ ️ @ Abbot Kinney, Venice
12 (☀)
Time for some BBQ and whiskey libations. Chomp, belch, chomp! (@ Lucille's Smokehouse Bar-B-Que)
19 (😜)
Love love love all these people ️ ️ ️ #friends #bff #celebrate #blessed #sundayfunday @ San…
0 (❤)
️ ️ ️ ️ @ Toys"R"Us
0 (❤)
Man these are the funniest kids ever!! That face! #HappyBirthdayBubb @ FLIPnOUT Xtreme
2 (😂)
#sandiego @ San Diego, California
11 (🇺🇸)
My little ️ ️ ️ ️ ️ #ObsessedWithMyDog @ Cafe Solstice Capitol Hill
0 (❤)
More #tinyepic things #tinyepicwestern, this one is crazy @user I may be one of your…
19 (😜)
Last night ️ @ Omnia Night Club At Caesars Palace
0 (❤)
friendship at its finest. ....#pixar #toystory #buzz #woody #friends #friendship #bff…
7 (✨)
I L VE working for a cause! Yesterday's balloon decor for SNN 11th Annual Back 2 School Health…
1 (😍)
Dem shoes tho! Lol! ...I'm getting some! Get ready copleypriceymca…
2 (😂)
I love weekends with you, calebrancourt @ Cannery Row At Monterey Bay, CA
9 (😘)
Yesss! August is full of love and birthdays ️ @ Los Angeles,…
0 (❤)
I took a pic with Eminem! *still not over that performance vibe from #parrisproject!…
1 (😍)
I L VE working for a cause! Yesterday's balloon decor for SNN 11th Annual Back 2 School Health…
1 (😍)
Sundays are all about the cute babies and dogs! #Ballard #sundaymarket #littelestmodel…
1 (😍)
it was too hot .. trying to find shade behind @user at the roadraceengineering booth…
4 (🔥)
Sometimes you just have to be a kid Skyspace, Los Angeles. #CRStylesTravel #FunDay #LALife…
19 (😜)
had an amazing night, with some pretty amazing people @ Pandora Summer
8 (💙)
Thank you @user for an incredible night last night @ Shrine Auditorium & Expo Hall
7 (✨)
thanks for the amazing night @ Pandora Summer
8 (💙)
@user draw the line ~
5 (😊)
This is why I hate when Taylor visits #Bunny #NotCaturday @ Our House
2 (😂)
thank you to my boys for performing so well last night, I love you all very much @ Pandora…
8 (💙)
2nd theater and 3rd movie of the day a new record #badmoms #suicidesquad #sausageparty (at @user
2 (😂)
In honor of #happygayunclesday ️ #happygunclesday #guncle #guncles @ Chula Vista, California
0 (❤)
I think it's nap time for us @ Los Angeles, California
1 (😍)
I L VE working for a cause! Yesterday's balloon decor for SNN 11th Annual Back 2 School Health…
1 (😍)
Chasing #mclarenp1 in Malibu today.________________________________________ : credit: @user
10 (📷)
Sunday afternoon at home! Drinking good wine and enjoying this incredible view to the sound of…
8 (💙)
#Lunch @user best #Ribs in #SanDiego (at @user in San Diego, CA)
14 (😉)
Here's to the start of a great adventure. Niners today, Alaska tomorrow. #grams @ Levi's Stadium
1 (😍)
Really horrible seats for a really awful Sunday afternoon! Life is really bad #soundersfc.…
16 (😁)
Enjoy your last days of summer! Clearly, mauricethewhale is enjoying his! #ladykiller…
2 (😂)
Surprised everyone by actually surviving a weekend in the wild (however still came close to…
14 (😉)
In the zone | : @user #colorsworldwide #RnBOnly @ The Regent
18 (📸)
“Me & Catherine Sutherland!!!” #PowerMorphicon2016 #PowerRangersZeo #PowerRangersTurbo…
6 (😎)
Taped up and dripped out. Know what I'm talking bout #paint #painting #diy #homeimprovement…
6 (😎)
princesscruises @ Port of Seattle, Pier 91
8 (💙)
Stay classy #SanDiego (@ San Diego International Airport - @user in San Diego, CA)
14 (😉)
I ️ the people I work with. Enjoying our Sunday watching the first…
0 (❤)
Another big happy 18th birthday to my partner in crime ️ I love u and all the crazy times we've…
0 (❤)
Day is DONE! Thank u INSTA-LIKERS! Rollicking day at FRINGE! C U THURSDAY~~~and then some .…
9 (😘)
SnakeShred recording guitars for the new SnakeSkin record #guitar #recording #api #apipegged…
19 (😜)
My sisters, my best friends #hamessisters #andlewisandclark…
13 (💜)
my absolute favorite place. @ La Jolla Cove Seal Beach
3 (💕)
To live is an awfully big adventure #Seattle #spaceneedle @ Space Needle
8 (💙)
Finally met Snow White ! She was my favorite when i was little :) #SnowWhite #Disneyland @user
0 (❤)
@user loved your coverage at TI as always, now need to get you on some of those Sounders matches...
16 (😁)
Saturdayzzz w/ Lionel Richie @ Harvey's Outdoor Ampitheater
7 (✨)
All the beautiful ladies that helped make last night #APositiveExperience @ Upscale Salon
7 (✨)
Sunday funday indeed #sundayfunday #igers #igdaily #instalike #enjoylife #asian #LA…
6 (😎)
Lights, Camera, Action @ Hollywood Walk of Fame
6 (😎)
Found your Unicorn @user it's a pillow/stuffed toy and every pride weekend it…
2 (😂)
Harry Potter ️ @ TCL Chinese Theatres
0 (❤)
My key was still here...thank the Lawd #littlehoneyvee #doodles #doodleoftheday #illustration…
0 (❤)
️ ️ ️ @ Los Angeles, California
0 (❤)
Absolutely in love with this ethereal glow on holytolidoitseric. Who would rock this look?…
1 (😍)
Getting up that ice wall one ax at a time : pechoi11 @ Mount Shasta, California
18 (📸)
Sephora is my favorite place @ SEPHORA
7 (✨)
Tutorial time w/ @user @user @ Stern Grove Festival
2 (😂)
I love my people! @ Paso Robles, California
8 (💙)
Rad Fashion at the midway SF on a Sunday ️ ️ ️ @ The Midway SF
0 (❤)
Just like the movie... Radiator Springs ️ #cars #inlove…
0 (❤)
Cheers to Bruce on his birthday. ️#westhollywood…
0 (❤)
My bears! #cityfest ️ ️ ️ @ Babycakes San Diego
0 (❤)
gonna miss you guys so much. thank you for an amazing experience ️#ballyhoocarrie…
0 (❤)
MATTRESS HELPER - new again SAGGING #BED #FIRMER #fix #guaranteed #sleepless #needsleep…
7 (✨)
Just that sound alone makes the world stop ️ @ Sausalito, California
0 (❤)
#ExclusiveBaseballPicks are KILLING the #Bookie like always. #WeeklyRecap 8/8-8/14. 96-3…
19 (😜)
My lady love beautiful friend #doubleLtrouble #leilavie #beachour @ Stinson Beach, California
1 (😍)
My date for tonight @ Hotel Las Rocas
1 (😍)
This weekend love was truly in the air but out of all the celeb weddings I have to say…
0 (❤)
@user hi from Tijuana B.C. See you soon
14 (😉)
️ #gramma @ Living Way Christian Fellowship
0 (❤)
Acquired this stunner today at my new favorite spot Sharks Tooth #crassula.…
1 (😍)
Birthday cheers with my favorite people!!#26again #justafewofmygirls #justafewofmygirls…
14 (😉)
today was my first day of work at Victoria Secret SO happy and SO…
1 (😍)
Taking bae to all my favorite #LA spots. #gettycenter @ Getty Center
8 (💙)
So much fun this weekend celebrating the bride to be. #MalliesLastRally @ Las Vegas, Nevada
3 (💕)
Love this picture of me and baby Eve at Disneyland earlier today …
1 (😍)
The one photo I've taken with my Mother that I like for once. -08/13/16, Sat. @ El Dorado…
5 (😊)
Love my bed @ Downey, California
1 (😍)
So cute!! #KnottsBerryFarm #Charlie #Snoopy #Woodstock @ Knott's Berry Farm
1 (😍)
I ️ Faure Requiem @user oboyddd @ Walt Disney Concert Hall
0 (❤)
️ @ Columbia River
12 (☀)
No I don't have any carrots!! #seattlepoloclub #horse #horses @ Seattle Polo & Equestrian Club
2 (😂)
My favourite place in California #YosemiteNationalPark #California @ Yosemite Wilderness
1 (😍)
#sundayfunday #live at allure... @user @user @user
6 (😎)
My babies ️ ️ ️ #cat #dog #catsofinstagram #dogsofinstagram #lovemyfurbabies @ Port Hueneme,…
0 (❤)
Photo taken Thursday at SDCC2016 by MannyLLanura Photography. #widowmaker #overwatch…
10 (📷)
Hello there, my king Jareth #bowie #goblinking #labyrinth @ Los Angeles, California
0 (❤)
These Teens @ ARIA Resort & Casino
14 (😉)
Sunday views #hike #waterfall #waterfallhike #latourellfalls #hikeoregon #hikepnw #whyihike…
12 (☀)
"Beauty begins the moment you decide to be yourself" -Coco Chanel love this!Skin is the largest…
13 (💜)
Caught by the lens of Yc Wong. photo by 8888tiger8888 suit by virginblak #ljifff…
18 (📸)
Weldone champ #babrain #alikhamis #rio #rio2016 #olympics @ Los…
7 (✨)
Took a lil trip to Tahoe #iputhehoeintahoe @ Incline Village At…
8 (💙)
About to hang out with a bunch of #Armenians and #Russians...trying to fit in Sporting my…
19 (😜)
End of preview (truncated to 100 rows)

Dataset Card for tweet_eval

Dataset Summary

TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.

Supported Tasks and Leaderboards

  • text_classification: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.

Languages

The text in the dataset is in English, as spoken by Twitter users.

Dataset Structure

Data Instances

An instance from emoji config:

{'label': 12, 'text': 'Sunday afternoon walking through Venice in the sun with @user ️ ️ ️ @ Abbot Kinney, Venice'}

An instance from emotion config:

{'label': 2, 'text': "“Worry is a down payment on a problem you may never have'. \xa0Joyce Meyer.  #motivation #leadership #worry"}

An instance from hate config:

{'label': 0, 'text': '@user nice new signage. Are you not concerned by Beatlemania -style hysterical crowds crongregating on you…'}

An instance from irony config:

{'label': 1, 'text': 'seeing ppl walking w/ crutches makes me really excited for the next 3 weeks of my life'}

An instance from offensive config:

{'label': 0, 'text': '@user Bono... who cares. Soon people will understand that they gain nothing from following a phony celebrity. Become a Leader of your people instead or help and support your fellow countrymen.'}

An instance from sentiment config:

{'label': 2, 'text': '"QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin"'}

An instance from stance_abortion config:

{'label': 1, 'text': 'we remind ourselves that love means to be willing to give until it hurts - Mother Teresa'}

An instance from stance_atheism config:

{'label': 1, 'text': '@user Bless Almighty God, Almighty Holy Spirit and the Messiah. #SemST'}

An instance from stance_climate config:

{'label': 0, 'text': 'Why Is The Pope Upset?  via @user #UnzippedTruth #PopeFrancis #SemST'}

An instance from stance_feminist config:

{'label': 1, 'text': "@user @user is the UK's answer to @user and @user  #GamerGate #SemST"}

An instance from stance_hillary config:

{'label': 1, 'text': "If a man demanded staff to get him an ice tea he'd be called a sexists elitist pig.. Oink oink #Hillary #SemST"}

Data Fields

For emoji config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: ❤

    1: 😍

    2: 😂

    3: 💕

    4: 🔥

    5: 😊

    6: 😎

    7: ✨

    8: 💙

    9: 😘

    10: 📷

    11: 🇺🇸

    12: ☀

    13: 💜

    14: 😉

    15: 💯

    16: 😁

    17: 🎄

    18: 📸

    19: 😜

For emotion config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: anger

    1: joy

    2: optimism

    3: sadness

For hate config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: non-hate

    1: hate

For irony config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: non_irony

    1: irony

For offensive config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: non-offensive

    1: offensive

For sentiment config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: negative

    1: neutral

    2: positive

For stance_abortion config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: none

    1: against

    2: favor

For stance_atheism config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: none

    1: against

    2: favor

For stance_climate config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: none

    1: against

    2: favor

For stance_feminist config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: none

    1: against

    2: favor

For stance_hillary config:

  • text: a string feature containing the tweet.

  • label: an int classification label with the following mapping:

    0: none

    1: against

    2: favor

Data Splits

name train validation test
emoji 45000 5000 50000
emotion 3257 374 1421
hate 9000 1000 2970
irony 2862 955 784
offensive 11916 1324 860
sentiment 45615 2000 12284
stance_abortion 587 66 280
stance_atheism 461 52 220
stance_climate 355 40 169
stance_feminist 597 67 285
stance_hillary 620 69 295

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

Francesco Barbieri, Jose Camacho-Collados, Luis Espiinosa-Anke and Leonardo Neves through Cardiff NLP.

Licensing Information

This is not a single dataset, therefore each subset has its own license (the collection itself does not have additional restrictions).

All of the datasets require complying with Twitter Terms Of Service and Twitter API Terms Of Service

Additionally the license are:

Citation Information

@inproceedings{barbieri2020tweeteval,
title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},
author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},
booktitle={Proceedings of Findings of EMNLP},
year={2020}
}

If you use any of the TweetEval datasets, please cite their original publications:

Emotion Recognition:

@inproceedings{mohammad2018semeval,
  title={Semeval-2018 task 1: Affect in tweets},
  author={Mohammad, Saif and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},
  booktitle={Proceedings of the 12th international workshop on semantic evaluation},
  pages={1--17},
  year={2018}
}

Emoji Prediction:

@inproceedings{barbieri2018semeval,
  title={Semeval 2018 task 2: Multilingual emoji prediction},
  author={Barbieri, Francesco and Camacho-Collados, Jose and Ronzano, Francesco and Espinosa-Anke, Luis and
    Ballesteros, Miguel and Basile, Valerio and Patti, Viviana and Saggion, Horacio},
  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
  pages={24--33},
  year={2018}
}

Irony Detection:

@inproceedings{van2018semeval,
  title={Semeval-2018 task 3: Irony detection in english tweets},
  author={Van Hee, Cynthia and Lefever, Els and Hoste, V{\'e}ronique},
  booktitle={Proceedings of The 12th International Workshop on Semantic Evaluation},
  pages={39--50},
  year={2018}
}

Hate Speech Detection:

@inproceedings{basile-etal-2019-semeval,
    title = "{S}em{E}val-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in {T}witter",
    author = "Basile, Valerio  and Bosco, Cristina  and Fersini, Elisabetta  and Nozza, Debora and Patti, Viviana and
      Rangel Pardo, Francisco Manuel  and Rosso, Paolo  and Sanguinetti, Manuela",
    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
    year = "2019",
    address = "Minneapolis, Minnesota, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/S19-2007",
    doi = "10.18653/v1/S19-2007",
    pages = "54--63"
}

Offensive Language Identification:

@inproceedings{zampieri2019semeval,
  title={SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)},
  author={Zampieri, Marcos and Malmasi, Shervin and Nakov, Preslav and Rosenthal, Sara and Farra, Noura and Kumar, Ritesh},
  booktitle={Proceedings of the 13th International Workshop on Semantic Evaluation},
  pages={75--86},
  year={2019}
}

Sentiment Analysis:

@inproceedings{rosenthal2017semeval,
  title={SemEval-2017 task 4: Sentiment analysis in Twitter},
  author={Rosenthal, Sara and Farra, Noura and Nakov, Preslav},
  booktitle={Proceedings of the 11th international workshop on semantic evaluation (SemEval-2017)},
  pages={502--518},
  year={2017}
}

Stance Detection:

@inproceedings{mohammad2016semeval,
  title={Semeval-2016 task 6: Detecting stance in tweets},
  author={Mohammad, Saif and Kiritchenko, Svetlana and Sobhani, Parinaz and Zhu, Xiaodan and Cherry, Colin},
  booktitle={Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)},
  pages={31--41},
  year={2016}
}

Contributions

Thanks to @gchhablani and @abhishekkrthakur for adding this dataset.

Update on GitHub
Papers with Code

Models trained or fine-tuned on tweet_eval