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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 1 missing columns ({'cohort'})

This happened while the csv dataset builder was generating data using

hf://datasets/ISCA-IUB/HateSpeechAndBias/DatasetForMachineLearning.csv (at revision de463eeacde4ce84aea84b410f28553192fdee9e)

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
              TweetID: int64
              Username: string
              Text: string
              CreateDate: string
              Biased: int64
              Calling_Out: int64
              Keyword: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1059
              to
              {'TweetID': Value(dtype='int64', id=None), 'Username': Value(dtype='string', id=None), 'Text': Value(dtype='string', id=None), 'CreateDate': Value(dtype='string', id=None), 'Biased': Value(dtype='int64', id=None), 'Calling_Out': Value(dtype='int64', id=None), 'Keyword': Value(dtype='string', id=None), 'cohort': Value(dtype='int64', 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 1321, 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 935, 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 1 missing columns ({'cohort'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ISCA-IUB/HateSpeechAndBias/DatasetForMachineLearning.csv (at revision de463eeacde4ce84aea84b410f28553192fdee9e)
              
              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)

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TweetID
int64
Username
string
Text
string
CreateDate
string
Biased
int64
Calling_Out
int64
Keyword
string
cohort
int64
1,300,750,977,352,556,500
MatthewEGunter
“To believe that these social outcomes are a result of systemic racism would necessitate believing that East Asians, Indians, and female black African immigrants have more white privilege than white people.” https://t.co/Q40xLYPkeG
2020-09-01 11:02:54+00:00
0
0
Asians
2,022
1,234,887,425,144,561,700
ConnieCollette3
RT @DonaldJTrumpJr: When @realDonaldTrump first shut down travel from China Dems said it was too early and he was being xenophobic agains Asians. Remember: Dems would definitely never, EVER politicize the Coronavirus https://t.co/FGf1qVGIWQ
2020-03-03 17:04:39+00:00
0
0
Asians
2,022
1,224,636,268,975,480,800
be745599742
RT @PleasureTgirl: Goodmorning, Have A Nice Day❤️ Follow👇👇👇 @AlfonsoMtzMora @Shemalechannel @asians_ladyboys @tskendramoore @WeLoveTGirlz @Travestis_vips @translovelies @lexcananlex @Jamie_Fiel @Transxlove @tsoncams @323_She https://t.co/WnxlBNjLbZ
2020-02-04 10:10:13+00:00
0
0
Asians
2,022
1,262,552,097,075,200,000
RAsianamerican
Asians in the US least likely to get coronavirus infection despite racist assumptions of many, data suggests via /r/asianamerican https://t.co/mmLmlEcmab
2020-05-19 01:14:11+00:00
0
0
Asians
2,022
1,238,955,553,864,462,300
havertzbf
@hyejoohobi This is just the dumbest tweet I have ever read in my whole life. If you are against racism, if you think it's wrong to make jokes about asians and saying it's their fault then why are you being "racist" yourself? You had a point and you loosed it by meing racist and mean.
2020-03-14 22:29:57+00:00
0
1
Asians
2,022
1,324,905,858,887,725,000
tmwsiy
@NR_Garrett He got more votes from Blacks, Latinos, Jews, Asians and Pacific Islanders also. So I guess, it is an everyone problem.
2020-11-07 02:45:46+00:00
0
0
Asians
2,022
1,264,660,325,015,736,300
justjokesbykay
RT @yimmygee: asians will be like japan colonized my country and weebs will be like no naruto would never have done that
2020-05-24 20:51:32+00:00
0
0
Asians
2,022
1,332,609,054,745,583,600
PeerlessPeach
RT @tanchunkiet: One interesting phenomenon re: romanization of Chinese names is sometimes it's very difficult to tell what the original character of the family name is. Especially with SE Asians who trace their ancestry back to China. 1/14
2020-11-28 08:55:31+00:00
0
0
Asians
2,022
1,309,527,749,174,812,700
kyung_smol
I hate it here. We south Asians are all alone in appreciating our culture and it hurts sometimes
2020-09-25 16:18:39+00:00
0
0
Asians
2,022
1,275,817,967,083,819,000
MJTdesigns
RT @ProjectLincoln: Trump has insulted Asians (kung flu), African Americans (sons of bitches) and Latinos (rapists). Confederates? “Beautiful monuments” and “great heritage.” What does that say about Trump’s America?
2020-06-24 15:48:01+00:00
0
1
Asians
2,022
1,304,160,642,010,505,200
froyoee
asians really suffering💔
2020-09-10 20:51:41+00:00
0
0
Asians
2,022
1,313,849,801,021,120,500
MMOLiberty
@Boomieleaks @MsMelChen Lack of tutoring and prep classes? Test is biased toward Asians?
2020-10-07 14:32:57+00:00
0
0
Asians
2,022
1,266,410,040,350,716,000
itsshxy_
RT @l2w_zai: Majority of Mexicans and Asians saying nigga be silent during shit like this nah be a nigga now
2020-05-29 16:44:17+00:00
0
0
Asians
2,022
1,259,887,518,625,005,600
vipulmahajan14
RT @davidfrawleyved: Genetic results show Vedic culture was indigenous to India, not brought by so-called invading Aryans. Rakhigarhi DNA shows Harappans had no genetic signatures from Iranian or steppe groups, but rather a movement of Harappans into Central Asia.@ProfVasant https://t.co/ZuLoig6Ooa
2020-05-11 16:46:06+00:00
0
0
Asians
2,022
1,240,749,733,255,065,600
deadcstro
RT @jaymie_sophia: mf is in Daly City, how can you be racist to Asians when you’re in a city WITH MOSTLY ASIANS????? https://t.co/K3ELQqgG3N
2020-03-19 21:19:23+00:00
0
1
Asians
2,022
1,240,480,317,758,230,500
david_fraas
@EugeneCho But yet. I don't hate Asians for it. I wish people would quit telling me whom I'm gonna hate everyday. Seems racist to me.
2020-03-19 03:28:49+00:00
0
0
Asians
2,022
1,260,025,200,147,484,700
jennife04132135
RT @briantylercohen: @realDonaldTrump BREAKING: Man who put Asians in danger on a daily basis with racist tropes lectures about the dangers of using racist tropes.
2020-05-12 01:53:12+00:00
0
1
Asians
2,022
1,272,381,396,871,524,400
LaVieEnRose__R
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-15 04:12:19+00:00
0
1
Asians
2,022
1,249,185,202,942,984,200
Najayy
Okay I’m confused why Asians treating Africans as if they started Corona
2020-04-12 03:58:55+00:00
0
0
Asians
2,022
1,223,944,337,794,293,800
nyxisthenight
RT @CorpusRen: ALSO. IF YOU SEE ASIANS WEARING FACE MASKS, IT MAY NOT MEAN THEY'RE SICK. IT IS A CONSCIENTIOUS CULTURE. WE WEAR IT AS A PREVENTATIVE FOR OURSELVES TO LIMIT GETTING OR SPREADING ILLNESS. WE DON'T START WEARING NOT AFTER THE FACT. SO DON'T BE AN ASSHOLE WHEN YOU SEE US WEAR IT.😠
2020-02-02 12:20:44+00:00
0
1
Asians
2,022
1,250,764,311,137,407,000
SANTOS133
RT @doamuslims: #UAE Celebrity Tariq Al-Mehyas #Racism on Display! He says “When we say ‘migrants’ we ... mean Asians [not Arabs]” “Do you think we treat a Bengali worker & Egyptian equally? Allah Forbid! X 3” https://t.co/D23M89HBOZ
2020-04-16 12:33:44+00:00
0
0
Asians
2,022
1,221,621,524,844,535,800
tillingfolk
@hoangvanxiem @ProleLumpen But let’s not vilify our cousins in Korea & Vietnam. Yes Asians eat Dog. And ? ... really should be how it’s seen. #respect
2020-01-27 02:30:42+00:00
0
0
Asians
2,022
1,264,623,702,114,787,300
starbringer_101
RT @yimmygee: asians will be like japan colonized my country and weebs will be like no naruto would never have done that
2020-05-24 18:26:00+00:00
0
0
Asians
2,022
1,275,742,899,586,707,500
bookeraptor
RT @ProjectLincoln: Trump has insulted Asians (kung flu), African Americans (sons of bitches) and Latinos (rapists). Confederates? “Beautiful monuments” and “great heritage.” What does that say about Trump’s America?
2020-06-24 10:49:44+00:00
0
1
Asians
2,022
1,267,569,434,157,215,700
th3zamari
RT @keilahhhjd: A message for my fellow Asians: I’m about to be VERY transparent with yall.
2020-06-01 21:31:18+00:00
0
0
Asians
2,022
1,324,250,536,514,883,600
MindofLoki
Latinos and Asians for Tr*mp gon mess around and assimilate themselves right into an ICE detention center.
2020-11-05 07:21:45+00:00
0
0
Asians
2,022
1,267,643,026,291,060,700
snicksthedevil
RT @keilahhhjd: A message for my fellow Asians: I’m about to be VERY transparent with yall.
2020-06-02 02:23:43+00:00
0
0
Asians
2,022
1,272,211,325,255,594,000
FernandaMesser1
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-14 16:56:31+00:00
0
1
Asians
2,022
1,233,537,423,675,621,400
TheSwedishElfIX
@Paolo77 @GHS @WHO Worse still, all this scare reporting and blatant omission of additional info has lead to an ever-so-lovely rise in racism against Asians, again just like when SARS was a big deal, as if simply being Asian means you magically have the virus and will spread it just by existing.
2020-02-28 23:40:14+00:00
0
1
Asians
2,022
1,313,940,392,933,552,000
Mohamad74830054
RT @Mafgodalasar: In the ideal society of Arbaeen, races, ethnicities and nations are not considered separate from each other, Americans, Asians, Europeans, etc. embrace each other, enjoy seeing each other and shed tears of joy to participate in this ideal society #Arbaeen2020 #حب_الحسین_یجمعنا https://t.co/NSGWbOGNPy
2020-10-07 20:32:56+00:00
0
0
Asians
2,022
1,241,907,260,261,052,400
Flower03163374C
RT @RealJamesWoods: Asians are ruthless in war. Ask any American who fought in WWII, in Korea, or in Vietnam. Could China have engineered this virus (high contagion/low lethality) as a warning to President Trump not to interfere with the cozy globalist trade deals arranged by Clinton and Obama?
2020-03-23 01:58:59+00:00
1
0
Asians
2,022
1,276,318,311,706,288,000
wokeworldnews
@wesyang Elite schools discriminate against Asians when it comes to admissions, but celebrate Asians when it comes to reporting “diversity.” Saw a Cornell brochure that bragged that a majority of its students were POC. It would be 75 percent with blind admissions.
2020-06-26 00:56:13+00:00
0
1
Asians
2,022
1,240,948,047,401,681,000
Clarineta
RT @Sifill_LDF: It is deliberate. Focused. With deliberate disregard for how this imperils the safety of Asians and Asian Americans in this country. Even in the midst of a global pandemic, racism & xenophobia are the go-to for this President. https://t.co/8os2CtWFKX
2020-03-20 10:27:24+00:00
0
1
Asians
2,022
1,222,632,903,491,891,200
Aneesaj28
RT @maaba_g: the corona virus doesn’t give you an excuse to be racist towards asians lmfaoooo
2020-01-29 21:29:34+00:00
0
1
Asians
2,022
1,320,119,568,703,119,400
roxxiemundar
RT @asunnydisposish: The fact that black people who have spoken up about disliking Hetalia are getting racist slurs hurled at them when East Asians like me have made similar posts and aren't getting the same amount of racist shit... Hetalia fans your anti-blackness is showing
2020-10-24 21:46:46+00:00
0
0
Asians
2,022
1,324,525,704,487,293,000
JOSE_nm75
RT @elisa1121: Republicans have ✅FLIPPED House seats ✅HELD the Senate majority ✅HELD EVERY Republican legislature @POTUS has WON the GOP’s largest # of ✅Latinos ✅Blacks ✅Asians But an incoherent, corrupt, career politician “pulled ahead” in the dark of night ? Yeah. No. WAY.
2020-11-06 01:35:11+00:00
0
0
Asians
2,022
1,252,789,112,706,236,400
nipismdn
RT @WellsLucasSanto: JUST A QUICK REMINDER THAT THE FOUNDER NAMED HIS COMPANY LULULEMON BECAUSE HE THOUGHT IT WAS FUNNY HEARING ASIANS SAY THE "L" SOUND WITH AN "R" SOUND. THEY'RE RACIST AF. https://t.co/jHoTAcK21u
2020-04-22 02:39:34+00:00
0
1
Asians
2,022
1,272,203,054,490,632,200
chickenloveer
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-14 16:23:39+00:00
0
1
Asians
2,022
1,236,333,338,513,850,400
jay216g
@CBSNews Why did yall racist ass use asians in the pic. Fucked up
2020-03-07 16:50:12+00:00
0
1
Asians
2,022
1,241,858,330,877,997,000
edthewise1
RT @RealJamesWoods: Asians are ruthless in war. Ask any American who fought in WWII, in Korea, or in Vietnam. Could China have engineered this virus (high contagion/low lethality) as a warning to President Trump not to interfere with the cozy globalist trade deals arranged by Clinton and Obama?
2020-03-22 22:44:33+00:00
0
0
Asians
2,022
1,255,574,410,607,526,000
penaflr
RT @Alythuh: dear filipinos, southeast asians, I know it’s summer but stop using papaya soap and lemon on your skin. any whitening products. Your skin is beautiful ☺️
2020-04-29 19:07:21+00:00
0
0
Asians
2,022
1,276,390,245,039,329,300
_butokay
RT @slobear: What's up with Tina Fey's weirdness with Asians? In Mean Girls, underaged girls being raped by Coach Carr are Trang Pak and Sun Jin Dinh. And it's played for laughs as the 2 girls fight over him. https://t.co/CIZINQCola
2020-06-26 05:42:03+00:00
0
0
Asians
2,022
1,272,226,639,242,571,800
_knweedman
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-14 17:57:22+00:00
0
1
Asians
2,022
1,261,220,481,593,565,200
helloitsmonde
"Wow your English is very good for an Asian." Excuse me Karen, us asians are mostly bilingual, the joke's on you bcs you can only speak english. https://t.co/fBjZ5pwf0o
2020-05-15 09:02:49+00:00
0
1
Asians
2,022
1,241,128,280,817,688,600
Xibee
RT @peccapics: 🚨World Premiere 🚨 👀MONSOON Exclusive Trailer 👀 Starring Henry Golding (Crazy Rich Asians, Last Christmas, The Gentlemen) MONSOON is a rich and poignant reflection on the struggle for identity in a place where the past weighs heavily on the present. https://t.co/YC84ddLKXc
2020-03-20 22:23:35+00:00
0
0
Asians
2,022
1,302,080,125,723,267,000
rajkumarinik
RT @YingjueChen: twitter made me do it, the diversity of e. asian eyes, be assured there's an infinite amount of shapes i left off as anything in between or beyond these exist, but you get the point. east asians can have almond shaped eyes, round shaped eyes, hooded eyes, and anything inbetween. https://t.co/ZwDdaYsTUP
2020-09-05 03:04:28+00:00
0
0
Asians
2,022
1,238,670,516,325,662,700
ayomipebamikole
@koo_natali @minsugast4rs @shookytwts The comments about"BTS having coronavirus"is dead racist to me.I can get the joke about Billie getting the virus and her fans giving the cure to her ASAP.BUT the fact that BTS are Asians and making that comment about a really deadly virus is Racist And that was a terrible joke
2020-03-14 03:37:19+00:00
0
1
Asians
2,022
1,260,987,461,410,402,300
jai_siara
@DiamoniqueAlle1 @minnjoonies @THICJ00N It’s hard for it to stay “flat” if you have curly (like me) or kinky hair. Because you’ll see it pops up if you didn’t do the braid tight enough. But many Asians have hair that falls straight down. It’s easy to make it look neat... probably takes much less work to do
2020-05-14 17:36:53+00:00
0
0
Asians
2,022
1,284,117,342,947,963,000
how_u_dare_47
RT @ficjoon: You know why I’m so frustrated on this? BECAUSE THIS HAPPENS WAY TOO MANY TIMES. It’s always the western people discrediting or ignoring asians’ achievements. This happens in grammys, billboards, western media, radio play, and now this. THIS. https://t.co/00bKb6hYP9
2020-07-17 13:26:46+00:00
0
0
Asians
2,022
1,222,528,948,875,202,600
moonxmercury
RT @maaba_g: the corona virus doesn’t give you an excuse to be racist towards asians lmfaoooo
2020-01-29 14:36:29+00:00
1
0
Asians
2,022
1,228,287,508,460,515,300
ShaneASinclair
Another publication from the the Compassion Research Lab. Congrats to my post doc, Dr. Pavneet Singh, in publishing his large #groundedtheory study on South Asians experiences and perspectives of #compassion https://t.co/3Z1ua8Uo6p #onesizedoesntfitall
2020-02-14 11:58:57+00:00
0
0
Asians
2,022
1,282,908,919,728,353,300
hentaihousewife
@BrownSlimShady @sarah_ogun i don’t disagree at all with this. at the end of the day asians got a lot of reforming to do. thank u for having a nice convo with me.
2020-07-14 05:24:56+00:00
1
0
Asians
2,022
1,266,285,170,832,769,000
plbuckland
@Joel60471453 @MichaelRoddan @RealMarkLatham Dont worry, Alan Jones has studied Diogenes, and certainly doesnt hate Greeks, Italians, Muslims or Asians (which you would have known if you ever listened), but your complete ignorance indicates you have a very narrow and closed mind.
2020-05-29 08:28:05+00:00
0
0
Asians
2,022
1,318,049,044,669,882,400
Dylzapyke1
RT @jennyyangtv: THIS IS A BORING THING HOLLYWOOD LOVES: MYSTERIOUS QUIET-ASS ASIANS. 😑 https://t.co/pmA91VsbhV
2020-10-19 04:39:15+00:00
0
0
Asians
2,022
1,272,085,691,212,562,400
Iexaaaaaaa
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-14 08:37:17+00:00
0
1
Asians
2,022
1,307,911,917,810,389,000
lysatz
@FAIRYK0O @bbypetalddy @cozzyal it discusses covid and the racism that Asians including bts have suffered. they used the Howard Stern example when his writer said bts probably have covid
2020-09-21 05:17:55+00:00
0
0
Asians
2,022
1,300,602,031,468,576,800
fran_mac75
@ABC7Jory @LASDBrink @KamalaHarris Yes. Him and everyone else including democrats. Who toured Chinatown and said to hug Asians in solidarity. (Virtue signaling at its finest). Also deblasio telling people to go out on the town and Cuomo, Murphy, Wold and Whitmer shoving sick people in w/grandma. It’s not all trump
2020-09-01 01:11:02+00:00
0
0
Asians
2,022
1,303,897,134,383,509,500
pearlk60
RT @sidney_chest: Trudeau RELEASES.. A FINANCIAL PROGRAM FOR BLACK OWNED BUSINESSES ??? What about THE THOUSANDS of small businesses owned snd operated by... Asians Whites Indigenous Groups Chinese Japsnese Koreans Etc Across Canada, for DECADES VOTE BUYING BASTARD
2020-09-10 03:24:36+00:00
0
0
Asians
2,022
1,266,400,171,946,119,200
unknownaj00
RT @l2w_zai: Majority of Mexicans and Asians saying nigga be silent during shit like this nah be a nigga now
2020-05-29 16:05:04+00:00
0
0
Asians
2,022
1,278,660,322,212,098,000
_Psycold
@chidisteph_ Asians 💗
2020-07-02 12:02:31+00:00
0
0
Asians
2,022
1,243,400,477,280,047,000
bessyboo
RT @heyjenbartel: Hey news outlets/publications: Now would be a really great time to hire an editorial illustrator to do a non-racist spot illo for your covid-19 article instead of using stock photos of Asians. Check out #ArtistsofSEA, #VisibleWomen, and #PortfolioDay for available artists.
2020-03-27 04:52:29+00:00
0
0
Asians
2,022
1,272,375,123,664,941,000
peruanita_grace
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-15 03:47:23+00:00
0
1
Asians
2,022
1,295,991,778,768,806,000
RagequitRonnie
@OrwellNGoode So outperforming all other groups means they're not people of color? WTF. Did they just infer that POC are inferior to Asians? What the hell kinda progressive vomit is this. https://t.co/PV1bGfbKeH
2020-08-19 07:51:33+00:00
0
1
Asians
2,022
1,234,887,432,702,550,000
AlexDeSilva12
RT @DonaldJTrumpJr: When @realDonaldTrump first shut down travel from China Dems said it was too early and he was being xenophobic agains Asians. Remember: Dems would definitely never, EVER politicize the Coronavirus https://t.co/FGf1qVGIWQ
2020-03-03 17:04:41+00:00
0
0
Asians
2,022
1,250,047,276,199,936,000
jujutheripper
RT @AlfredLewislll: the way black ppl were defending Asians and then this appears and it’s crickets... hate to see it https://t.co/A3Gwdkdw9i
2020-04-14 13:04:30+00:00
0
0
Asians
2,022
1,301,985,285,564,235,800
WendyWu1958
RT @ChristianWalk1r: The @NFL & @NBA are racist organizations who hate Whites, Asians and Latinos. I demand they introduce Athletic Affirmative Action to give underrepresented races a chance at fairly competing... NOW! https://t.co/FMM1Czx5lT
2020-09-04 20:47:36+00:00
0
0
Asians
2,022
1,336,159,322,171,089,000
anderson_jon
Rewatching Crazy Rich Asians tonight and WHOO boy I love this. There will probably be some live tweet thoughts here
2020-12-08 04:03:01+00:00
0
0
Asians
2,022
1,334,534,795,171,405,800
brarandboujee
RT @SikhProf: Listen to this woman — a witness for Rudy Giuliani — announce her racist views against Chinese people. Fellow South Asians: just because we are experience racism doesn’t mean we can’t perpetrate it. We have a lot of work to do. https://t.co/oOUHuQvzUp
2020-12-03 16:27:44+00:00
0
1
Asians
2,022
1,343,433,274,090,090,500
valeriosbread
RT @taehyungjd_: crazy rich asians who? i only know taehyung fansites and fanbases
2020-12-28 05:47:06+00:00
0
0
Asians
2,022
1,248,412,165,972,742,100
glenbahde
In defense of Andrew Yang https://t.co/enTxpoTjp3 flagship policy of universal basic income is flawed due to its a consumable. If we could get people vested in lasting value that would change mindset.
2020-04-10 00:47:09+00:00
0
0
Asians
2,022
1,263,666,604,782,448,600
yunavis_SirohuU
RT @shima_spoon: Whitewashing is evil but seeing ppl say “big eyed characters don’t look Japanese” also hurts. Do they seriously think all east asians have bright yellow skin and single eyelids, or do they only accept one single image of how they want to see us as “valid east asian”?🙃
2020-05-22 03:02:51+00:00
0
1
Asians
2,022
1,242,732,472,602,898,400
OtorGoodnews
RT @PopCrave: .@IamCardiB calls for people to stop being xenophobic during the Coronavirus pandemic: "Let's stop being xenophobic. Let's stop saying f*cked up jokes. Let's stop having crazy anger because I've been seeing a lot of Asians get beat up and all that shit.” https://t.co/IwQ0CtAfYf
2020-03-25 08:38:04+00:00
0
1
Asians
2,022
1,314,638,268,001,128,400
randySm30030493
RT @tobeequal: “transform America.” So, from what to what, I ask. Read the official CA Ballot Voter Guide, and the progressive playbook stands out like a sore thumb. The Prop 16 proponents argue for “representation, diversity and equity.” They say Asians are “over-represented at UC and, /11
2020-10-09 18:46:02+00:00
0
0
Asians
2,022
1,221,218,739,946,786,800
FlufferLips
Asians believe in LOVE? WTF! As an American, I refuse to believe that any other facial structure can LOVE someone so kindly. Bah, humbug!
2020-01-25 23:50:11+00:00
0
0
Asians
2,022
1,300,194,175,145,705,500
xxxBria_
RT @Leee_am: The entire Caribbean is filled with Asians. For YEARS. https://t.co/nb1mcvLE4Q
2020-08-30 22:10:22+00:00
0
0
Asians
2,022
1,260,684,251,755,929,600
reuben_ayodeji
RT @cchukudebelu: WW2 was fought, extensively on Asian soil. So Asians were witnesses to the comprehensive defeat of European powers by the Japanese (e.g. the Japanese invasions of Singapore and Indonesia). When the war ended, it was impossible for them to reassert their influence.
2020-05-13 21:32:02+00:00
0
0
Asians
2,022
1,240,400,201,971,613,700
birly_j
RT @mmpadellan: trump's stubborn insistence upon using the bigoted term "Chinese Virus" has caused violent attacks on Asian Americans to spike. That's the REAL danger, and it's why it should be called #TrumpPandemic https://t.co/8G1iyVq8ah
2020-03-18 22:10:28+00:00
0
1
Asians
2,022
1,222,134,183,205,564,400
arbie1990
RT @MaxenceAngelXXX: 🚨🚨Compilation of my JFF page 🎥🚨 Porn stars, public sex, duo, trio, DP, Twinks, daddies, Blacks, Asians, Whites bareback Men on Men action... 👉https://t.co/lG5NYX1wUl 👉30% discount 👉Still a lot to be released Subscribe now 😈 https://t.co/lG5NYX1wUl😈 https://t.co/KDffWT3ZVX
2020-01-28 12:27:50+00:00
0
0
Asians
2,022
1,267,696,497,992,380,400
arantxaloizaga
@jesusvirgen_ @jhamtiger What I was trying to explain and got miss interpreted was that all lives are important! No one should be a victim of police brutality, not the blacks, the latinos, the asians... NO ONE!
2020-06-02 05:56:12+00:00
0
0
Asians
2,022
1,284,923,275,374,727,200
inarzaiki
RT @maddox_rider: Nekoma; Crazy Rich Asians 2.0💰💴✨ #haikyuu #nekoma #kuroken #yakulev (print available on my store: https://t.co/gO0GqbMpcM ) https://t.co/M8IwchlsVk
2020-07-19 18:49:16+00:00
0
0
Asians
2,022
1,266,190,295,747,768,300
matzcult
RT @katsukigfs: here you go my south asians :) https://t.co/v3RR0EQXf3
2020-05-29 02:11:05+00:00
0
0
Asians
2,022
1,275,657,460,813,095,000
janattheocean
RT @ProjectLincoln: Trump has insulted Asians (kung flu), African Americans (sons of bitches) and Latinos (rapists). Confederates? “Beautiful monuments” and “great heritage.” What does that say about Trump’s America?
2020-06-24 05:10:13+00:00
0
0
Asians
2,022
1,267,463,550,253,097,000
jmai07
RT @keilahhhjd: A message for my fellow Asians: I’m about to be VERY transparent with yall.
2020-06-01 14:30:33+00:00
0
0
Asians
2,022
1,269,246,202,064,670,700
whsbq
RT @bangtaniast: Asians can relate. We literally sit like this. https://t.co/w6PPY6eJPd
2020-06-06 12:34:10+00:00
0
0
Asians
2,022
1,260,208,665,807,786,000
A1sidezz
RT @chiddyafc: Racism against Asians has been too normalised that people don't think this is a problematic bar https://t.co/njdZkSp8L5
2020-05-12 14:02:14+00:00
0
1
Asians
2,022
1,305,599,178,387,718,100
casydsie
RT @Haylubabes: @colesprouse I love you sm baby and if your active rn it'll mean so much to me if you can apologize for your racism towards asians on your old posts in 2013 on your camera duels. Can you go to through your page and find that post and then you can see how you were wrong okay bye❤
2020-09-14 20:07:55+00:00
0
1
Asians
2,022
1,323,900,902,437,126,100
Luis24815
RT @MichaelRapaport: @jemelehill Not Latinos? Not Asians? Not Detroit Not Showing up to even vote? Not the Black Vote which is higher then expected for Trump?
2020-11-04 08:12:26+00:00
0
0
Asians
2,022
1,266,819,182,613,725,200
PieterVorster9
@JRejuvenation @Barbara53547705 @ErnstRoets I never said every individual from the white race is better than all individual blacks, or Asians, but clearly when you compare Europeans to Africans it’s obvious that “whites” have fared much better, that’s just the reality, all groups aren’t equal.
2020-05-30 19:50:04+00:00
0
0
Asians
2,022
1,267,638,095,580,729,300
Iamonlyhere4ma2
@Cialaxy_Arts @_Unionknight @Meri51274018 @imalampbitch @_are_no_ @CrankGameplays Not all black people are criminals. Not all Hispanics are immigrants. Not all Asians have corona Not all Muslims are terrorists. But people think so, so many people believe that but if someone says all cops are bad THEY are suddenly the bad guys. This system needs to change
2020-06-02 02:04:08+00:00
0
1
Asians
2,022
1,318,997,065,494,634,500
SEOKSEOK2X
RT @puffscoups: “gook” is a racial slur that has been used frequently against eastern asians, mostly korean, vietnamese, and filipino people. it was mostly used during the vietnamese and korean wars by the united states military. it is an offensive derogatory term. there are other variations of
2020-10-21 19:26:20+00:00
0
1
Asians
2,022
1,286,488,454,705,160,200
downtomarsgirll
@7Quips @ayodeleaigbe @MerryMapleMen Break down Asians for me. Yes I will buy something from a Latino just for being Latino. And Irish on Irish crime sweetie ❤️
2020-07-24 02:28:44+00:00
0
0
Asians
2,022
1,341,089,572,114,096,000
KTWinATL
RT @nytimes: A New York Times analysis of voting in 28,000 precincts in more than 20 U.S cities found that while President Trump lost ground in white and Republican areas — ultimately leading to his election loss — he gained new votes in immigrant neighborhoods. https://t.co/EPaEQBvjwy
2020-12-21 18:34:04+00:00
0
0
Asians
2,022
1,272,318,150,055,350,300
HollyWeirdMe
RT @stevenzequ: it’s unbelievable that asians are getting beat up for covid, blacks are being systematically killed, and latinx children are being abused in cages, yet still people have the audacity to claim “a*l l*ves m*atter” while they idly sit by and enjoy their privilege.
2020-06-15 00:01:00+00:00
0
1
Asians
2,022
1,314,709,370,245,124,000
mirai_4_5_
RT @flatchestka: Curious thought but why do westerners always ALWAYS speak over asians? Why do you fellows always tend to find the need to overpower our voices? When we say "no this isn't correct" you incessantly force YOUR definition of an inherently western context on an Asian topic/or matter.
2020-10-09 23:28:34+00:00
0
1
Asians
2,022
1,245,059,551,340,068,900
lonniethelibra
RT @oopskiana: Do you know how physically SICK it makes me when people distance themselves from Asians, give them the side eye, or make dumb ass statements about them DURING THIS TIME???? Do u know???? At the beginning of this, little kids went to school and were BULLIED. stop blaming asians
2020-03-31 18:45:03+00:00
0
1
Asians
2,022
1,277,534,572,767,559,700
klarabella78
RT @estherk_k: Africans had slaves too. As did Asians... As did Arabs... World history is complex and lengthy. It did not start or end with European colonisation. So please, everyone, for the LOVE of all that is good and holy, calm down 🤦‍♂️🤦‍♂️
2020-06-29 09:29:12+00:00
0
0
Asians
2,022
1,267,704,493,136,904,200
JScryptofan
@SueMChung Where were you when Asians were getting buttfucked by black people because of COVID? Majority of hate crimes were by black people. What did you do? I am sure you marched in the streets shouting NO RACISM, right?
2020-06-02 06:27:58+00:00
0
1
Asians
2,022
1,305,585,845,588,635,600
lucifrian
RT @saItkath: “please do not misunderstand”, “dont feel bad” yea that should give yall white folks a clue about how touchy asians are over financial assistance https://t.co/RbadPPXiR9
2020-09-14 19:14:56+00:00
0
0
Asians
2,022
1,267,688,700,441,432,000
jakaylamharris
RT @keilahhhjd: A message for my fellow Asians: I’m about to be VERY transparent with yall.
2020-06-02 05:25:13+00:00
0
0
Asians
2,022
1,240,997,850,965,635,000
JohnAlldis6
RT @wendyemily2: Overheard in Woolies. Two old guys. "Hi, Fred, how you doing with all this?" "It's crazy but I'm ok". "Yeah. It's those bloody Asians. They brought this here." "Yeah, bloody Asians want to kill us all". "Too right, mate. Too right. I kid you not. Alan Jones listeners, no doubt.
2020-03-20 13:45:18+00:00
0
0
Asians
2,022
End of preview.

Institute for the Study of Contemporary Antisemitism (ISCA) at Indiana University Dataset on bias against Asians, Blacks, Jews, Latines, and Muslims

The dataset is a product of a research project at Indiana University on biased messages on Twitter against ethnic and religious minorities. We scraped all live messages with the keywords "Asians, Blacks, Jews, Latinos, and Muslims" from the Twitter archive in 2020, 2021, and 2022.

Random samples of 600 tweets were created for each keyword and year, including retweets. The samples were annotated in subsamples of 100 tweets by undergraduate students in Professor Gunther Jikeli's class 'Researching White Supremacism and Antisemitism on Social Media' in the fall of 2022 and 2023. A total of 120 students participated in 2022. They annotated datasets from 2020 and 2021. 134 students participated in 2023. They annotated datasets from the years 2021 and 2022. The annotation was done using the Annotation Portal (Jikeli, Soemer and Karali, 2024). The updated version of our portal, AnnotHate, is now publicly available. Each subsample was annotated by an average of 5.65 students per sample in 2022 and 8.32 students per sample in 2023, with a range of three to ten and three to thirteen students, respectively. Annotation included questions about bias and calling out bias.

Annotators used a scale from 1 to 5 on the bias scale (confident not biased, probably not biased, don't know, probably biased, confident biased), using definitions of bias against each ethnic or religious group that can be found in the research reports from 2022 and 2023. If the annotators interpreted a message as biased according to the definition, they were instructed to choose the specific stereotype from the definition that was most applicable. Tweets that denounced bias against a minority were labeled as "calling out bias".

The label was determined by a 75% majority vote. We classified “probably biased” and “confident biased” as biased, and “confident not biased,” “probably not biased,” and “don't know” as not biased.

The stereotypes about the different minorities varied. About a third of all biased tweets were classified as general 'hate' towards the minority. The nature of specific stereotypes varied by group. Asians were blamed for the Covid-19 pandemic, alongside positive but harmful stereotypes about their perceived excessive privilege. Black people were associated with criminal activity and were subjected to views that portrayed them as inferior. Jews were depicted as wielding undue power and were collectively held accountable for the actions of the Israeli government. In addition, some tweets denied the Holocaust. Hispanic people/Latines faced accusations of being undocumented immigrants and "invaders," along with persistent stereotypes of them as lazy, unintelligent, or having too many children. Muslims were often collectively blamed for acts of terrorism and violence, particularly in discussions about Muslims in India.

The annotation results from both cohorts (Class of 2022 and Class of 2023) will not be merged. They can be identified by the "cohort" column. While both cohorts (Class of 2022 and Class of 2023) annotated the same data from 2021,* their annotation results differ. The class of 2022 identified more tweets as biased for the keywords "Asians, Latinos, and Muslims" than the class of 2023, but nearly all of the tweets identified by the class of 2023 were also identified as biased by the class of 2022. The percentage of biased tweets with the keyword 'Blacks' remained nearly the same.

*Due to a sampling error for the keyword "Jews" in 2021, the data are not identical between the two cohorts. The 2022 cohort annotated two samples for the keyword Jews, one from 2020 and the other from 2021, while the 2023 cohort annotated samples from 2021 and 2022.The 2021 sample for the keyword "Jews" that the 2022 cohort annotated was not representative. It has only 453 tweets from 2021 and 147 from the first eight months of 2022, and it includes some tweets from the query with the keyword "Israel". The 2021 sample for the keyword "Jews" that the 2023 cohort annotated was drawn proportionally for each trimester of 2021 for the keyword "Jews".

Content

Cohort 2022

This dataset contains 5880 tweets that cover a wide range of topics common in conversations about Asians, Blacks, Jews, Latines, and Muslims. 357 tweets (6.1 %) are labeled as biased and 5523 (93.9 %) are labeled as not biased. 1365 tweets (23.2 %) are labeled as calling out or denouncing bias.

1180 out of 5880 tweets (20.1 %) contain the keyword "Asians," 590 were posted in 2020 and 590 in 2021. 39 tweets (3.3 %) are biased against Asian people. 370 tweets (31,4 %) call out bias against Asians.

1160 out of 5880 tweets (19.7%) contain the keyword "Blacks," 578 were posted in 2020 and 582 in 2021. 101 tweets (8.7 %) are biased against Black people. 334 tweets (28.8 %) call out bias against Blacks.

1189 out of 5880 tweets (20.2 %) contain the keyword "Jews," 592 were posted in 2020, 451 in 2021, and ––as mentioned above––146 tweets from 2022. 83 tweets (7 %) are biased against Jewish people. 220 tweets (18.5 %) call out bias against Jews.

1169 out of 5880 tweets (19.9 %) contain the keyword "Latinos," 584 were posted in 2020 and 585 in 2021. 29 tweets (2.5 %) are biased against Latines. 181 tweets (15.5 %) call out bias against Latines.

1182 out of 5880 tweets (20.1 %) contain the keyword "Muslims," 593 were posted in 2020 and 589 in 2021. 105 tweets (8.9 %) are biased against Muslims. 260 tweets (22 %) call out bias against Muslims.

Cohort 2023

The dataset contains 5363 tweets with the keywords “Asians, Blacks, Jews, Latinos and Muslims” from 2021 and 2022. 261 tweets (4.9 %) are labeled as biased, and 5102 tweets (95.1 %) were labeled as not biased. 975 tweets (18.1 %) were labeled as calling out or denouncing bias.

1068 out of 5363 tweets (19.9 %) contain the keyword "Asians," 559 were posted in 2021 and 509 in 2022. 42 tweets (3.9 %) are biased against Asian people. 280 tweets (26.2 %) call out bias against Asians.

1130 out of 5363 tweets (21.1 %) contain the keyword "Blacks," 586 were posted in 2021 and 544 in 2022. 76 tweets (6.7 %) are biased against Black people. 146 tweets (12.9 %) call out bias against Blacks.

971 out of 5363 tweets (18.1 %) contain the keyword "Jews," 460 were posted in 2021 and 511 in 2022. 49 tweets (5 %) are biased against Jewish people. 201 tweets (20.7 %) call out bias against Jews.

1072 out of 5363 tweets (19.9 %) contain the keyword "Latinos," 583 were posted in 2021 and 489 in 2022. 32 tweets (2.9 %) are biased against Latines. 108 tweets (10.1 %) call out bias against Latines.

1122 out of 5363 tweets (20.9 %) contain the keyword "Muslims," 576 were posted in 2021 and 546 in 2022. 62 tweets (5.5 %) are biased against Muslims. 240 tweets (21.3 %) call out bias against Muslims.

File Description:

The dataset is provided in a csv file format, with each row representing a single message, including replies, quotes, and retweets. The file contains the following columns:

'TweetID': Represents the tweet ID.

'Username': Represents the username who published the tweet (if it is a retweet, it will be the user who retweetet the original tweet.

'Text': Represents the full text of the tweet (not pre-processed).

'CreateDate': Represents the date the tweet was created.

'Biased': Represents the labeled by our annotators if the tweet is biased (1) or not (0).

'Calling_Out': Represents the label by our annotators if the tweet is calling out bias against minority groups (1) or not (0).

'Keyword': Represents the keyword that was used in the query. The keyword can be in the text, including mentioned names, or the username.

‘Cohort’: Represents the year the data was annotated (class of 2022 or class of 2023)

Licences

Data is published under the terms of the "Creative Commons Attribution 4.0 International" licence (https://creativecommons.org/licenses/by/4.0)

Acknowledgements

We are grateful for the technical collaboration with Indiana University's Observatory on Social Media (OSoMe). We thank all class participants for the annotations and contributions, including Kate Baba, Eleni Ballis, Garrett Banuelos, Savannah Benjamin, Luke Bianco, Zoe Bogan, Elisha S. Breton, Aidan Calderaro, Anaye Caldron, Olivia Cozzi, Daj Crisler, Jenna Eidson, Ella Fanning, Victoria Ford, Jess Gruettner, Ronan Hancock, Isabel Hawes, Brennan Hensler, Kyra Horton, Maxwell Idczak, Sanjana Iyer, Jacob Joffe, Katie Johnson, Allison Jones, Kassidy Keltner, Sophia Knoll, Jillian Kolesky, Emily Lowrey, Rachael Morara, Benjamin Nadolne, Rachel Neglia, Seungmin Oh, Kirsten Pecsenye, Sophia Perkovich, Joey Philpott, Katelin Ray, Kaleb Samuels, Chloe Sherman, Rachel Weber, Molly Winkeljohn, Ally Wolfgang, Rowan Wolke, Michael Wong, Jane Woods, Kaleb Woodworth, Aurora Young, Sydney Allen, Hundre Askie, Norah Bardol, Olivia Baren, Samuel Barth, Emma Bender, Noam Biron, Kendyl Bond, Graham Brumley, Kennedi Bruns, Leah Burger, Hannah Busche, Morgan Butrum-Griffith, Zoe Catlin, Angeli Cauley, Nathalya Chavez Medrano, Mia Cooper, Suhani Desai, Isabella Flick, Samantha Garcez, Isabella Grady, Macy Hutchinson, Sarah Kirkman, Ella Leitner, Elle Marquardt, Madison Moss, Ethan Nixdorf, Reya Patel, Mickey Racenstein, Kennedy Rehklau, Grace Roggeman, Jack Rossell, Madeline Rubin, Fernando Sanchez, Hayden Sawyer, Diego Scheker, Lily Schwecke, Brooke Scott, Megan Scott, Samantha Secchi, Jolie Segal, Katherine Smith, Constantine Stefanidis, Cami Stetler, Madisyn West, Alivia Yusefzadeh, Tayssir Aminou, Karen Fecht, Luciana Orrego-Hoyos, Hannah Pickett, and Sophia Tracy.

This work used Jetstream2 at Indiana University through allocation HUM200003 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.

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