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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 new columns ({'Unnamed: 4'}) and 1 missing columns ({'label_vector'}).

This happened while the csv dataset builder was generating data using

hf://datasets/JoeJYu/SexismCategory/test.csv (at revision 382043441d0327645f622cb39c1dea8ea95c93ba)

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
              Unnamed: 0: int64
              rewire_id: string
              text: string
              label_sexist: string
              labels: int64
              Unnamed: 4: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 958
              to
              {'Unnamed: 0': Value(dtype='int64', id=None), 'rewire_id': Value(dtype='string', id=None), 'text': Value(dtype='string', id=None), 'label_sexist': Value(dtype='string', id=None), 'labels': Value(dtype='int64', id=None), 'label_vector': Value(dtype='string', 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 new columns ({'Unnamed: 4'}) and 1 missing columns ({'label_vector'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/JoeJYu/SexismCategory/test.csv (at revision 382043441d0327645f622cb39c1dea8ea95c93ba)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Unnamed: 0
int64
rewire_id
string
text
string
label_sexist
string
labels
int64
label_vector
string
4
sexism2022_english-7228
[USER] Leg day is easy. Hot girls who wear miniskirts get asked out.
sexist
2
3.3 backhanded gendered compliments
6
sexism2022_english-872
I get a new pussy every other week or whenever i want really. Didnt have to learn how to either from YouTube videos. Also PUAs dont get laid. At best they get 5/10 asian ladies after spending years pretending to be something they aren't. Its pathetic
sexist
1
2.3 dehumanising attacks & overt sexual objectification
11
sexism2022_english-14992
O come on there's no way any men are attracted to her shes a pig🙄
sexist
1
2.3 dehumanising attacks & overt sexual objectification
21
sexism2022_english-7260
Former BBC journalist Thuto Mali says that universal credit is now a woman’s rights issue as it’s affecting her finances. If she wants to open her legs and sprew a sprog that’s her problem , my problem is I’m not willing to finance the sprog
sexist
3
4.2 supporting systemic discrimination against women as a group
25
sexism2022_english-7022
I did. You have to have the bravery to escalate, touch her boobs etc, and work on escalating it further.
sexist
0
1.2 incitement and encouragement of harm
31
sexism2022_english-12319
Not going to lie, the brutal honesty of this reply got me rolling haha "I might go over and smash but I’ll have to tell her to stfu or put a sock in her mouth" lmao, godspeed brother
sexist
3
4.1 supporting mistreatment of individual women
33
sexism2022_english-5581
Please.... take my wife, rape my daughter!! But whatever you do, leave the j00s alone!!! - cuckolded "conservatives"
sexist
0
1.2 incitement and encouragement of harm
34
sexism2022_english-2771
Pink is very feminine so I accept this bikini babe :) You've paid your dues :)
sexist
2
3.2 immutable gender differences and gender stereotypes
38
sexism2022_english-19849
Yes. Especially these days, it takes a lot to make a man beat a woman. Dont buy into her bullshit. She probably deserve. At least hear the version of the guy. I would make an exception if it was a severe beating.
sexist
0
1.2 incitement and encouragement of harm
39
sexism2022_english-17938
Put a fork in Muslim-England she's done for and there is no saving it from going full Islamic Sharia Law. What a millennium for England from being the greatest empire in the world to being evil Islam's British child rapping and acid throwing bitch.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
40
sexism2022_english-9987
The she-god mentality of women is going down the drain. Men make the world work and, yet, we bow to the bitches for occasional birthday present pussy. Sexbots will be realistic very soon and women's days of pussy rule will be over. ​
sexist
1
2.3 dehumanising attacks & overt sexual objectification
42
sexism2022_english-7290
The Mediterranean countries are fucking hellholes. I have heard from some expats that dating in Central Europe (France, Germany etc.) is easier and that women do approach men. Here they never approach, even chad need work hard to get pussy
sexist
2
3.2 immutable gender differences and gender stereotypes
44
sexism2022_english-16366
Hahaha, why didnt you say that to my face you little bitch? How surprisingly feminine of you to talk shit behind my back little boy. Afraid of confrontation? You'll never be the man your mother is.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
55
sexism2022_english-2964
I asked his dumbass why he fell for her. She has that gross cow-ring on her nose. Ugly af and he gets sexy bitches.
sexist
1
2.1 descriptive attacks
56
sexism2022_english-15184
Yes, because she made a mistake,she SHOULD pay for it. It was her mistake not society's. I'm all for legit help for someone in need but people who fuck around, don't use protection and then expect to get bailed out can go screw
sexist
3
4.1 supporting mistreatment of individual women
60
sexism2022_english-19341
hotter girls have higher bitch shields and shit test more, its called the hot-shit paradox lol
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
65
sexism2022_english-3048
I wish they'd thrown the commie race traitor bitch down & fucked her to death.
sexist
0
1.2 incitement and encouragement of harm
66
sexism2022_english-18377
[USER] Is that Hitlery? looks like her hips and ass
sexist
1
2.2 aggressive and emotive attacks
67
sexism2022_english-13992
Nope, nothing happened. She never filed a police report... she just "confided" in the right people and the rumor mill did the rest. A lot of politics in the military, and even rumors destroy people.
sexist
3
4.1 supporting mistreatment of individual women
68
sexism2022_english-14297
Yet they'll continue to have buff shirtless men who dehydrated and starve themselves in order to give the ladies their tingles
sexist
2
3.2 immutable gender differences and gender stereotypes
69
sexism2022_english-16805
She's Jezabel incarnate, the prefect catalyst for real revolution, that's what I'm saying! She's an actual witch , not kidding , like literally satanic .
sexist
1
2.2 aggressive and emotive attacks
71
sexism2022_english-11647
She may be worth what someone paid for her in terms of stimulating walking away.
sexist
1
2.3 dehumanising attacks & overt sexual objectification
72
sexism2022_english-8721
Yeah, well, plenty of men have been hit by women without ever being able to hit back, so I am not eager to cry a river.
sexist
3
4.1 supporting mistreatment of individual women
79
sexism2022_english-7250
Rot in hell bitch. You are a disgrace to aunties, moms, and law abiding US citizens. You deserve to lose all that you’ve “gainedâ€?from your corrupt political practices.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
80
sexism2022_english-1860
you don't praise women who act like cunts > >:( >must be an incel
sexist
1
2.2 aggressive and emotive attacks
85
sexism2022_english-15860
When I don't like a girl, who is not 'right' for me: I give her a can of porks and beans, stick an apple in her mouth, and throw her out the door.
sexist
0
1.1 threats of harm
87
sexism2022_english-8476
Yet women in the developing world seemingly have the balls to go into STEM in vastly higher numbers than the daughters of first world feminism. Very strange....
sexist
2
3.3 backhanded gendered compliments
88
sexism2022_english-3673
Late teens are like the easiest girls to have sex with, why compicate shit?
sexist
1
2.3 dehumanising attacks & overt sexual objectification
89
sexism2022_english-10924
But first.... That bitch better get her ass in the kitchen and make me a sammich.
sexist
1
2.2 aggressive and emotive attacks
91
sexism2022_english-12662
Get tough looking guy friends, then have them accompany you when you go to ask out girls. They'll never say no, because of the implication.
sexist
0
1.2 incitement and encouragement of harm
98
sexism2022_english-16284
An accident is an accident and excusable. If I smelt bleach though, I'd push it down her neck, woman or no woman!
sexist
0
1.1 threats of harm
99
sexism2022_english-16799
Why am I not surprised that ToroFA is implying that she's a dirty dishrag whore? Ghost of True Capitalist Radio is right. Women are a menace to society in America.
sexist
1
2.1 descriptive attacks
101
sexism2022_english-18155
[USER] "I can smell her dying from here." :)
sexist
0
1.2 incitement and encouragement of harm
105
sexism2022_english-12531
Intentionally spill some wine on her and hope she takes off her clothes
sexist
1
2.3 dehumanising attacks & overt sexual objectification
108
sexism2022_english-2204
I never! Seriously, have you? WTF is wrong? She has more hair on her chest than a lot of guys have! lol
sexist
1
2.1 descriptive attacks
110
sexism2022_english-11830
Stop being a fuckin pussy and tell her to grow the fuck up.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
111
sexism2022_english-18981
1406 BCE. Your grandmas pussy must be dry as fuck!
sexist
1
2.2 aggressive and emotive attacks
113
sexism2022_english-14081
A simple femoid who can not resist Chad's allure
sexist
2
3.2 immutable gender differences and gender stereotypes
114
sexism2022_english-3312
An insufferable NPCUNT. She ask for his name and she turn it into sexual harassment.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
115
sexism2022_english-15543
Insecurity is gross. Call her out on her bratty behaviour (yes, sometimes this means continuing EVEN AFTER she starts crying) or dump her asap.
sexist
0
1.2 incitement and encouragement of harm
118
sexism2022_english-6549
[URL] Proof that the meth head bitch who ripped her own eyes out in South Carolina is a coal burner. Now she's a blind whore with a cunt that stinks like nigger shit-stink and AIDS.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
120
sexism2022_english-10558
as if a virgin woman can't figure out within the first 5 seconds of sex how to lay there and take it and moan a little bit, all they need to do for good sex
sexist
1
2.3 dehumanising attacks & overt sexual objectification
122
sexism2022_english-8853
4) corporate whores
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
125
sexism2022_english-16394
Well we already had a feminist doctor killing off patients (Fuck you Dr. Barton, burn in hell cunt.) This is not surprising. The government want the men dead, and they'll get every woman in on it that they can.
sexist
1
2.2 aggressive and emotive attacks
127
sexism2022_english-4766
Because she's a skank.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
138
sexism2022_english-8826
the stupid bitch thinks she's edgy and a 'bad ass'. these hoes are so fucking lame. bet the dumb bitch got 20,000 likes and simps saying retarded shit in her comments.
sexist
1
2.2 aggressive and emotive attacks
139
sexism2022_english-8459
You dont. She has done 3 whole years on the streets. Let her remain in her habitat
sexist
3
4.1 supporting mistreatment of individual women
148
sexism2022_english-13461
Online dating culture. Any 5/10 girl and above would get the 99+ likes notification within a day of joining tinder. Gives them automatic abundance to spin plates. Plus feminism encourages them to sample as many dicks due to sexual liberation.
sexist
2
3.4 condescending explanations or unwelcome advice
152
sexism2022_english-9502
This girl got wrecked, can't remember anything (at all) and 'assumes' she was raped? CPS supposition at it's finest. [URL] #chedevans #uk #courts #justice
sexist
3
4.1 supporting mistreatment of individual women
153
sexism2022_english-8159
Lmao this is fucked. I remember having oneitis for my old therapist and then stumbling across a video of her getting trained by two black humongous dudes. Hard to believe, but I'm redpilled for life after that one.
sexist
1
2.3 dehumanising attacks & overt sexual objectification
154
sexism2022_english-13544
This woman knows a lot about free dick!
sexist
1
2.1 descriptive attacks
159
sexism2022_english-10706
[URL] Where are the feminists decrying the violence against this woman? Why do feminists defend an ideology that claims women are second class citizens you can beat and rape if they aren't with their "man"?
sexist
3
4.2 supporting systemic discrimination against women as a group
164
sexism2022_english-10418
Holy shit fuck that woman.
sexist
1
2.2 aggressive and emotive attacks
166
sexism2022_english-10159
I like 19 year old pussy. I know, call me crazy...
sexist
1
2.3 dehumanising attacks & overt sexual objectification
171
sexism2022_english-152
I will never ask anyone out. They will have to do so, and I will deny any ugly degenerate whore so hard, to destroy her confidence utterly.
sexist
0
1.1 threats of harm
175
sexism2022_english-15337
[URL] Fake rape accuser Lena Dunham plans to connect with women in middle America. #MAGA #Gab #AltRight #PresidentTrump #GabFam #DrainTheSwamp #Trump #SpeakFreely #News #PizzaGate #FakeNews
sexist
3
4.1 supporting mistreatment of individual women
178
sexism2022_english-8227
Well i used to be fat skinny, and i fucking hated it. I had the strength of a women but belly of an alcoholic. Lost weight and gymmaxxed but no weight lifting can fix your face
sexist
2
3.2 immutable gender differences and gender stereotypes
180
sexism2022_english-16248
I don't know about you, but every girl on there swipes no for me except for the bots, prostitutes and fat/ugly black girls. From this I've concluded that tinder is a waste of time
sexist
1
2.1 descriptive attacks
181
sexism2022_english-14084
This woman makes me almost believe in David Icke’s reptilian theory.
sexist
1
2.1 descriptive attacks
182
sexism2022_english-16640
Holy shit, I’m reading some shit on your other comments about her having genital warts? You know what, do us all a favor and just cum in this chick already. You clearly haven’t learned shit here.
sexist
0
1.2 incitement and encouragement of harm
187
sexism2022_english-2740
2001 a Space Odyssey had two guys and a robot, but she was pretty bossy. The entire movie consisted of the crew trying to get her to shut up and stop breaking things. I'm exaggerating but, it is a classic and before feminism.
sexist
2
3.2 immutable gender differences and gender stereotypes
190
sexism2022_english-3051
Lol. My therapist is an attractive young and sweet lady. I won’t be ghosting her anytime soon
sexist
2
3.3 backhanded gendered compliments
195
sexism2022_english-14492
Men are better at everything than women. Even when it comes to looks.
sexist
1
2.1 descriptive attacks
198
sexism2022_english-14674
I got "metoo-ed" holy shit lol. It's funny and also scarily possible.
sexist
3
4.1 supporting mistreatment of individual women
203
sexism2022_english-7983
It's a sad day for men when a once virile, gold-medal American olympic champion decides he'd rather be female..TRP is more important now than ever....
sexist
1
2.1 descriptive attacks
206
sexism2022_english-6689
ROFL!! Yes! I will never look that video in the same way. My interpretation: Never let her control shit. HB10 has nothing on me. Push her off and take the reins. Strongest reality wins and I'm riding this one. lmao.
sexist
0
1.2 incitement and encouragement of harm
210
sexism2022_english-8859
Or where you tell her everything and anything, and she constantly lies, manipulates, deceives, gas lights, and abuses!
sexist
1
2.1 descriptive attacks
212
sexism2022_english-603
Happened to my buddy too, was the best man in his wedding, talked to him once since and that was like 3 years ago. His wife is a bitch and forced him to purge all the friends of his she didn't like out of his life.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
215
sexism2022_english-15257
[USER] Yeah, liberal women are so dumb they almost deserve the destruction that would befall them if they were thrown among muslims. Liberal women are about hopeless, they really are.
sexist
0
1.2 incitement and encouragement of harm
217
sexism2022_english-6195
How to beat a woman, the right way ... lol
sexist
0
1.2 incitement and encouragement of harm
218
sexism2022_english-3581
LOL. Wall up,titless,butless,hag trying to stay in the spotlight. Notice how these bitches are all about caring but have done nothing to actually help those in need with their tons of money? So fucking fake.
sexist
1
2.2 aggressive and emotive attacks
224
sexism2022_english-4903
Actually she looks more the back end of a donkey.
sexist
1
2.3 dehumanising attacks & overt sexual objectification
228
sexism2022_english-4332
i don't wanna suck any beef curtain flaps 😂
sexist
1
2.1 descriptive attacks
229
sexism2022_english-3364
Women initiate sex all the freaking time.... But you have to make the environment conducive to that. If you maintain a relationship with her where she feels comfortable, sexy, appreciated, etc. she will initiate like crazy.
sexist
2
3.2 immutable gender differences and gender stereotypes
232
sexism2022_english-19348
layin pipe lmfao, 😆 😆 😆 that pussy looking, milk toast mother fucker coudln't lay pipe if his name was Roto Rooter
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
233
sexism2022_english-3739
With all the money that she received from loser men and still didn't have any common sense whatsoever to save any as a back up when shit goes side ways, which she reaps what she sows and an army of loser men will save her.
sexist
1
2.1 descriptive attacks
236
sexism2022_english-11782
Don’t forget society tells these women they are plus sized queens instead of telling them they are fat and need to lose weight.
sexist
1
2.1 descriptive attacks
237
sexism2022_english-12724
How’d your mom get a dick?
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
238
sexism2022_english-6819
Fair enough I agree with you, telling your daughter she's too ugly for the guy she is crushing on is a horrible thing to say. That's why fathers will instead emphasize that many men are looking for sex so she can put two and two together herself.
sexist
2
3.4 condescending explanations or unwelcome advice
247
sexism2022_english-4886
Occasionally, without me knowing it, my wife's vagina will reset itself from the original factory settings to 'Challenge Mode.'
sexist
1
2.3 dehumanising attacks & overt sexual objectification
250
sexism2022_english-3611
Moreover, the only two types of people that really care are natsocs that think every person of a certain race needs five kids minimum and women scared they'll be left to raise a child alone. To be a man is to serve to them, of course.
sexist
2
3.2 immutable gender differences and gender stereotypes
251
sexism2022_english-11100
I'm busy right now, what I'm doing is so much fun" So you'd do it if you weren't busy? Nice one. Enjoy her trying to pussy whip you for another year.
sexist
2
3.1 casual use of gendered slurs, profanities, and insults
252
sexism2022_english-6448
She was my crush until the retarded feminist shit rotted her brain (she graduated college with a 4.0).
sexist
1
2.2 aggressive and emotive attacks
257
sexism2022_english-8061
I didn't make it personal. She said she was the ENM relationship type and thats another way of saying a women who sleeps with lots of random men without commitment. I didn't say she was a "slut" I said that's what I commonly hear that referred as.
sexist
1
2.1 descriptive attacks
265
sexism2022_english-1397
Women truly do destroy nations. I hope enough men wake up this time around and let the women fight and die in conflict women themselves cause.
sexist
0
1.2 incitement and encouragement of harm
266
sexism2022_english-6303
All of society's problems are caused by women's choices. This is why in muslim countries it's the family that decides for the femoid.
sexist
3
4.2 supporting systemic discrimination against women as a group
267
sexism2022_english-17113
The 'being female' sentencing discount is appalling. By the way the article reads, it looks as though she didn't even face any charges..... Likely she had a welfare check and was let on her way.
sexist
3
4.2 supporting systemic discrimination against women as a group
269
sexism2022_english-17963
Making a woman feel bad = misogyny misogyny = evil Therefore making a woman feel bad = evil, according to women.
sexist
2
3.4 condescending explanations or unwelcome advice
270
sexism2022_english-2487
Once I read feminazi article how men regularly abuse female janitors by creating mess in bathrooms in revenge to... who knows what. This debunks it completely, unless all women there are lesbians and abuse female janitors this way even more.
sexist
2
3.2 immutable gender differences and gender stereotypes
274
sexism2022_english-9795
Crazy eyes wouldn’t get her hands on my bank account lol
sexist
1
2.1 descriptive attacks
278
sexism2022_english-3334
Won't miss her liberal wrinkly ass! Bye bitch
sexist
1
2.2 aggressive and emotive attacks
280
sexism2022_english-5213
She is just projecting what women do. She must have stolen that line from men’s forums, as women in general have little or no creativity.
sexist
1
2.1 descriptive attacks
286
sexism2022_english-7614
Every day this traitorous and detested woman harms Great Britain and damages her party. She is the most complete failure as a PM one can possibly imagine. Only the deep state keeps her in power: [URL]
sexist
1
2.2 aggressive and emotive attacks
287
sexism2022_english-14766
Didn't they publicly flog men who beat their wives up the 1950s in certain states? I'm pretty sure that the history of DV is full of lies and half-truths. Why wouldn't it when that's the way feminist narratives tend to be?
sexist
2
3.2 immutable gender differences and gender stereotypes
288
sexism2022_english-16502
A man makes the table.
sexist
2
3.2 immutable gender differences and gender stereotypes
289
sexism2022_english-18610
women have no problem to have their wage slave, if he is not performing enough she can just replace him
sexist
2
3.2 immutable gender differences and gender stereotypes
293
sexism2022_english-13939
(her, thief) Opportunistically vs. (him, idiot) romantically.
sexist
2
3.2 immutable gender differences and gender stereotypes
300
sexism2022_english-19187
Do you enjoy the fucking? Then go along with it, she wants the full boyfriend experience, give it to her. She may even start to think you're too clingy and then she will break up with you.
sexist
2
3.2 immutable gender differences and gender stereotypes
301
sexism2022_english-11952
Or maybe now that girls can vote, work, and shoot at brown people just like men, they've run out of things about which to be outraged. Also, ya' know, divorce laws, affirmative action, etc. They've got a lot going for them these days.
sexist
3
4.2 supporting systemic discrimination against women as a group
302
sexism2022_english-9283
Not to mention women are too dumb to understand STEM. Like women are too weak to be in the US military, but they're lowering fitness standards to fit women in.
sexist
1
2.1 descriptive attacks
End of preview.

Dataset Card for Dataset Name

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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