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 |
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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 |