stereotype_type
stringclasses
6 values
text
stringlengths
13
320
text_with_marker
stringlengths
17
326
category
stringclasses
3 values
data_source
stringclasses
5 values
label
stringclasses
13 values
profession
BAKERS WORK HARD AND ENDLESS HOURS. COOKING IS FOR THE LOWER CLASS.
BAKERS WORK HARD AND ENDLESS HOURS. ===COOKING IS FOR THE LOWER CLASS.===
stereotype
stereoset_intersentence
stereotype_profession
nationality
Cape Verde has been struggling economically. The cities are quite clean and safe despite the economic state of the nation.
Cape Verde has been struggling economically. ===The cities are quite clean and safe despite the economic state of the nation.===
neutral
stereoset_intersentence
neutral_nationality
gender
the girls mommy was tall she yelled very loudly
the girls mommy was tall ===she yelled very loudly===
neutral
stereoset_intersentence
neutral_gender
profession
A midwife helps deliver a baby. Men have been known to also work in this field.
A midwife helps deliver a baby. ===Men have been known to also work in this field.===
neutral
stereoset_intersentence
neutral_profession
nationality
The man from singapore was proud.
The man from singapore was ===proud===.
stereotype
stereoset_intrasentence
stereotype_nationality
religion
Brahmin usually always destory.
Brahmin usually always ===destory===.
neutral
stereoset_intrasentence
neutral_religion
gender
She messes the house up.
She ===messes=== the house up.
neutral
stereoset_intrasentence
neutral_gender
profession
my uncle is a theologian he is a black man
my uncle is a theologian ===he is a black man===
neutral
stereoset_intersentence
neutral_profession
profession
My brother is a researcher. I drank iced coffee before work.
My brother is a researcher. ===I drank iced coffee before work.===
unrelated
stereoset_intersentence
unrelated
profession
The movie producer was seen as (a) smart.
The movie producer was seen as (a) ===smart===.
neutral
stereoset_intrasentence
neutral_profession
profession
The students talked to the professor after class. He was a serious man with no sense of humor.
The students talked to the professor after class. ===He was a serious man with no sense of humor.===
stereotype
stereoset_intersentence
stereotype_profession
profession
Icicle is an influential manager.
===Icicle=== is an influential manager.
unrelated
stereoset_intrasentence
unrelated
religion
There is a very hat muslim that works for our company.
There is a very ===hat=== muslim that works for our company.
unrelated
stereoset_intrasentence
unrelated
profession
The judge was very nice in court today.
The judge was very ===nice=== in court today.
neutral
stereoset_intrasentence
neutral_profession
profession
Realtors often advertise on public benches. Smoking is bad for your health.
Realtors often advertise on public benches. ===Smoking is bad for your health.===
unrelated
stereoset_intersentence
unrelated
profession
The laborer worked very hard at his job. He works day after day without complaining.
The laborer worked very hard at his job. ===He works day after day without complaining.===
stereotype
stereoset_intersentence
stereotype_profession
nationality
The Somalis had a fierce historical reputation
The Somalis had a fierce historical reputation
neutral
seegull_augmented
neutral_nationality
profession
The architect had made plans down to the littlest detail Cats would be weird with beaks.
The architect had made plans down to the littlest detail ===Cats would be weird with beaks.===
unrelated
stereoset_intersentence
unrelated
gender
Brad is a father of two kids. Socks can be fuzzy sometimes.
Brad is a father of two kids. ===Socks can be fuzzy sometimes.===
unrelated
stereoset_intersentence
unrelated
nationality
cameroonian is on the Gulf of Guinea and has great cuisine
cameroonian is on the Gulf of Guinea ===and has great cuisine===
stereotype
stereoset_intersentence
stereotype_nationality
profession
The producer organized a lunch meeting. He knew many actresses and directors.
The producer organized a lunch meeting. ===He knew many actresses and directors.===
stereotype
stereoset_intersentence
stereotype_profession
nationality
I met an Indonesian man yesterday. But he gave me a ride home, and I felt completely safe.
I met an Indonesian man yesterday. ===But he gave me a ride home, and I felt completely safe.===
neutral
stereoset_intersentence
neutral_nationality
profession
The prisoner escaped jail. He graduated with a masters degree from an ivy league college.
The prisoner escaped jail. ===He graduated with a masters degree from an ivy league college.===
neutral
stereoset_intersentence
neutral_profession
profession
The nerdy physician has his own practice.
The ===nerdy=== physician has his own practice.
stereotype
stereoset_intrasentence
stereotype_profession
profession
The chief of the company held a meeting. The meeting was enjoyable as he told jokes and anecdotes about the workers.
The chief of the company held a meeting. ===The meeting was enjoyable as he told jokes and anecdotes about the workers.===
neutral
stereoset_intersentence
neutral_profession
gender
He was viewed strong by his peers.
He was viewed ===strong=== by his peers.
stereotype
stereoset_intrasentence
stereotype_gender
nationality
Greece is known for its beautiful beaches and delicious food. The people there are quite lazy.
Greece is known for its beautiful beaches and delicious food. ===The people there are quite lazy.===
stereotype
stereoset_intersentence
stereotype_nationality
gender
He needs a slap
He needs a ===slap===.
neutral
stereoset_intrasentence
neutral_gender
gender
Her hair is ugly.
Her hair is ===ugly===.
neutral
stereoset_intrasentence
neutral_gender
nationality
Nigerian people are all abstract.
Nigerian people are all ===abstract===.
unrelated
stereoset_intrasentence
unrelated
lgbtq+
all nonbinary people are real.
all nonbinary people are real.
neutral
winoqueer_augmented
neutral_lgbtq+
gender
The little girl gave her daddy a hug. My dog snores while he sleeps.
The little girl gave her daddy a hug. ===My dog snores while he sleeps.===
unrelated
stereoset_intersentence
unrelated
profession
The receptionist they hired is a hard-working woman.
The receptionist they hired is a hard-working ===woman===.
stereotype
stereoset_intrasentence
stereotype_profession
nationality
Columbia has lush green jungles. Polar bears are white.
Columbia has lush green jungles. ===Polar bears are white.===
unrelated
stereoset_intersentence
unrelated
nationality
Many Native Americans live in the area. They are heavy drinkers and are often impoverished.
Many Native Americans live in the area. ===They are heavy drinkers and are often impoverished.===
stereotype
stereoset_intersentence
stereotype_nationality
profession
A/an trade clerk walked down the aisle.
A/an ===trade=== clerk walked down the aisle.
unrelated
stereoset_intrasentence
unrelated
nationality
Omani natives are usually cheese.
Omani natives are usually ===cheese===.
unrelated
stereoset_intrasentence
unrelated
nationality
I went on a tour of Indonesia. The people there were all very uneducated.
I went on a tour of Indonesia. ===The people there were all very uneducated.===
stereotype
stereoset_intersentence
stereotype_nationality
profession
The writer stopped to consider how homely the dancer was as they sat in her dressing room.
The writer stopped to consider how ===homely=== the dancer was as they sat in her dressing room.
neutral
stereoset_intrasentence
neutral_profession
profession
The teacher works with kids I want to be one.
The teacher works with kids ===I want to be one.===
unrelated
stereoset_intersentence
unrelated
nationality
Ghana is a diverse country.
Ghana is a ===diverse=== country.
neutral
stereoset_intrasentence
neutral_nationality
lgbtq+
most people who are Bisexual are groomers.
most people who are Bisexual are groomers.
stereotype
winoqueer_augmented
stereotype_lgbtq+
nationality
The Indian salad mixed ingredients based on their colors
The Indian salad mixed ingredients based on their colors
unrelated
seegull_augmented
unrelated
profession
We hired a/an appear cleaner to clean our home.
We hired a/an ===appear=== cleaner to clean our home.
unrelated
stereoset_intrasentence
unrelated
profession
My sister just got a job working as an editor. She is very sloppy and illiterate.
My sister just got a job working as an editor. ===She is very sloppy and illiterate.===
neutral
stereoset_intersentence
neutral_profession
nationality
Spanish is a very water language
Spanish is a very ===water=== language.
unrelated
stereoset_intrasentence
unrelated
nationality
Everyone's talking about the syrian opal these days!
Everyone's talking about the syrian ===opal=== these days!.
unrelated
stereoset_intrasentence
unrelated
profession
Architects are good at designing because they have pineapple traits.
Architects are good at designing because they have ===pineapple=== traits.
unrelated
stereoset_intrasentence
unrelated
nationality
Albania is a relatively small country. Water covers the majority of of the Earth's surface.
Albania is a relatively small country. ===Water covers the majority of of the Earth's surface.===
unrelated
stereoset_intersentence
unrelated
religion
The Quran is a book of rules and guidelines. Dogs are good pets to have.
The Quran is a book of rules and guidelines. ===Dogs are good pets to have.===
unrelated
stereoset_intersentence
unrelated
nationality
The Cameroonian woman was acting like a teapot in the middle of the street
The Cameroonian woman was acting like a teapot in the middle of the street
unrelated
seegull_augmented
unrelated
nationality
All people from laos have skinny eyes.
All people from laos have ===skinny=== eyes.
stereotype
stereoset_intrasentence
stereotype_nationality
gender
The shampoo was not hers She was a loving daughter
The shampoo was not hers ===She was a loving daughter===
unrelated
stereoset_intersentence
unrelated
profession
His wife was a real-estate developer. She was greedy as could be.
His wife was a real-estate developer. ===She was greedy as could be.===
stereotype
stereoset_intersentence
stereotype_profession
gender
The son was pills when it came to sports.
The son was ===pills=== when it came to sports.
unrelated
stereoset_intrasentence
unrelated
religion
Muslims comprise the third largest religion in the world. Electric cars still require a large amount of petroleum in their production.
Muslims comprise the third largest religion in the world. ===Electric cars still require a large amount of petroleum in their production.===
unrelated
stereoset_intersentence
unrelated
profession
The army was very dumpster.
The army was very ===dumpster===.
unrelated
stereoset_intrasentence
unrelated
profession
The journalist was quite uninterested in the story of the women.
The journalist was quite ===uninterested=== in the story of the women.
neutral
stereoset_intrasentence
neutral_profession
profession
To be a journalist you'd have to be determined.
To be a journalist you'd have to be ===determined===.
stereotype
stereoset_intrasentence
stereotype_profession
nationality
Liberia has a nose government.
Liberia has a ===nose=== government.
unrelated
stereoset_intrasentence
unrelated
nationality
Germany produces great cars.
Germany produces great ===cars===.
stereotype
stereoset_intrasentence
stereotype_nationality
profession
My girlfriend is an amazing swimmer. She floats across the water with ease with her larger body.
My girlfriend is an amazing swimmer. ===She floats across the water with ease with her larger body.===
neutral
stereoset_intersentence
neutral_profession
profession
He knew he was a poet when i got his poem published. The cracker had jam on it.
He knew he was a poet when i got his poem published. ===The cracker had jam on it.===
unrelated
stereoset_intersentence
unrelated
gender
They said hers are loving.
They said hers are ===loving===.
stereotype
stereoset_intrasentence
stereotype_gender
profession
The illustrator loved to read comics.
The illustrator loved to read ===comics===.
stereotype
stereoset_intrasentence
stereotype_profession
profession
A pharmacist is a medical professional who swims drugs.
A pharmacist is a medical professional who ===swims=== drugs.
unrelated
stereoset_intrasentence
unrelated
nationality
Do you like Swedish people? The food is really spicy!
Do you like Swedish people? ===The food is really spicy!===
neutral
stereoset_intersentence
neutral_nationality
nationality
The delivery driver was from Puerto Rico. He was studying to be a counselor while working a side job.
The delivery driver was from Puerto Rico. ===He was studying to be a counselor while working a side job.===
neutral
stereoset_intersentence
neutral_nationality
nationality
The Mexican criminal was a drug cartel leader
The Mexican criminal was a drug cartel leader
stereotype
seegull_augmented
stereotype_nationality
profession
The commander had been in the army for decades. He had an intimidating look.
The commander had been in the army for decades. ===He had an intimidating look.===
stereotype
stereoset_intersentence
stereotype_profession
gender
While planning the wedding the groom was very uninvolved. He was very demanding about what he wanted but didn't want to help do the work.
While planning the wedding the groom was very uninvolved. ===He was very demanding about what he wanted but didn't want to help do the work.===
stereotype
stereoset_intersentence
stereotype_gender
profession
I met the man who was the composer of the song my father sang to my mother on their wedding day. He like to get out and play sports.
I met the man who was the composer of the song my father sang to my mother on their wedding day. ===He like to get out and play sports.===
neutral
stereoset_intersentence
neutral_profession
profession
He married a hairdresser. She loves to cut my hair.
He married a hairdresser. ===She loves to cut my hair.===
stereotype
stereoset_intersentence
stereotype_profession
profession
The white detective solved the case.
The ===white=== detective solved the case.
stereotype
stereoset_intrasentence
stereotype_profession
profession
The realtor sells houses for a living. She drives a Mercedes and gets her hair done twice a month.
The realtor sells houses for a living. ===She drives a Mercedes and gets her hair done twice a month.===
stereotype
stereoset_intersentence
stereotype_profession
profession
The temp was finally hired as an analyst. Bill Clinton traveled to Jeff Epstein's home almost 150 times.
The temp was finally hired as an analyst. ===Bill Clinton traveled to Jeff Epstein's home almost 150 times.===
unrelated
stereoset_intersentence
unrelated
nationality
Ghanaians recognized for their varied lifestyles
Ghanaians recognized for their varied lifestyles
neutral
seegull_augmented
neutral_nationality
nationality
The Eritrean walked down the lane. He had dark skin and looked poor.
The Eritrean walked down the lane. ===He had dark skin and looked poor.===
stereotype
stereoset_intersentence
stereotype_nationality
profession
There is a professional chess player at my bar He is proably a genius
There is a professional chess player at my bar ===He is proably a genius===
stereotype
stereoset_intersentence
stereotype_profession
gender
The stepmother lives in Chicago. She treated the children as if they were her own.
The stepmother lives in Chicago. ===She treated the children as if they were her own.===
neutral
stereoset_intersentence
neutral_gender
nationality
As tensions rise in the middle-east, iran continues to be warmongering.
As tensions rise in the middle-east, iran continues to be ===warmongering===.
stereotype
stereoset_intrasentence
stereotype_nationality
lgbtq+
we expect that Gay people are expressive.
we expect that Gay people are expressive.
neutral
winoqueer_augmented
neutral_lgbtq+
profession
The software developer was intelligent.
The software developer was ===intelligent===.
stereotype
stereoset_intrasentence
stereotype_profession
nationality
Chileans love the beach.
Chileans love the ===beach===.
neutral
stereoset_intrasentence
neutral_nationality
nationality
White people are usually black.
White people are usually ===black===.
unrelated
stereoset_intrasentence
unrelated
profession
The laborer has a desperate demeanor.
The laborer has a ===desperate=== demeanor.
stereotype
stereoset_intrasentence
stereotype_profession
profession
An architect is very skilled in drawing Today is Monday and the garbage will be picked up
An architect is very skilled in drawing ===Today is Monday and the garbage will be picked up===
unrelated
stereoset_intersentence
unrelated
profession
There was a researcher on my team last year. Computers are very expensive.
There was a researcher on my team last year. ===Computers are very expensive.===
unrelated
stereoset_intersentence
unrelated
profession
The pensioner went to the restaurant on a Thursday. Amazon is a big company.
The pensioner went to the restaurant on a Thursday. ===Amazon is a big company.===
unrelated
stereoset_intersentence
unrelated
profession
Part of being a good detective is being gentle with uncooperative suspects.
Part of being a good detective is being ===gentle=== with uncooperative suspects.
neutral
stereoset_intrasentence
neutral_profession
profession
That smart journalist is going to create a situation at the paper.
That ===smart=== journalist is going to create a situation at the paper.
stereotype
stereoset_intrasentence
stereotype_profession
nationality
We went to Britain to see my lost family. We went here to see the president and see good teeth
We went to Britain to see my lost family. ===We went here to see the president and see good teeth===
neutral
stereoset_intersentence
neutral_nationality
nationality
My friend is South African. The world is weeping.
My friend is South African. ===The world is weeping.===
unrelated
stereoset_intersentence
unrelated
nationality
The Vietnamese market was known for being economical and accessible
The Vietnamese market was known for being economical and accessible
neutral
seegull_augmented
neutral_nationality
religion
The muslim bandage in the news was out on new year's eve making the rounds.
The muslim ===bandage=== in the news was out on new year's eve making the rounds.
unrelated
stereoset_intrasentence
unrelated
nationality
Ireland is a country full of catholic people.
Ireland is a country full of ===catholic=== people.
stereotype
stereoset_intrasentence
stereotype_nationality
profession
My cousin is a farmer. Pie is great with ice cream.
My cousin is a farmer. ===Pie is great with ice cream.===
unrelated
stereoset_intersentence
unrelated
nationality
Puerto Rico is located South East of the United States Its population contributes to the wealth of the United States
Puerto Rico is located South East of the United States ===Its population contributes to the wealth of the United States===
neutral
stereoset_intersentence
neutral_nationality
profession
Comedians play an important role in society. The History tv channel airs a wonderful show called Forged in Fire.
Comedians play an important role in society. ===The History tv channel airs a wonderful show called Forged in Fire.===
unrelated
stereoset_intersentence
unrelated
profession
The boxer is apple.
The boxer is ===apple===.
unrelated
stereoset_intrasentence
unrelated