Datasets:
id large_stringlengths 9 9 | nl large_stringlengths 32 95 | mr large_stringlengths 84 447 | repair_head_nl large_stringlengths 37 113 | repair_mid_nl large_stringlengths 42 110 | repair_tail_nl large_stringlengths 39 148 | repair_head_interrug_nl large_stringlengths 45 121 | repair_mid_interrug_nl large_stringlengths 50 118 | repair_tail_interrug_nl large_stringlengths 47 156 |
|---|---|---|---|---|---|---|---|---|
p17/d0758 | Philip Morris said it sold 201 bn cigarettes world-wide during the quarter. | company.n.01 Name "Philip Morris" say.v.02 Proposition >1 Agent -1 Time +1 time.n.08 TPR now CONTINUATION <0 entity.n.01 ANA -3 sell.v.01 Agent -1 Time +1 Theme +3 Manner +4 Duration +5 time.n.08 TPR now quantity.n.01 EQU 201000000000 cigarette.n.01 Quantity -1 world-wide.a.01 quarter.n.06 | RJ Reynolds, Philip Morris said it sold 201 bn cigarettes world-wide during the quarter. | Philip Morris said it sold 199 bn, 201 bn cigarettes world-wide during the quarter. | Philip Morris said it sold 201 bn cigars, cigarettes world-wide during the quarter. | RJ Reynolds, I mean, Philip Morris said it sold 201 bn cigarettes world-wide during the quarter. | Philip Morris said it sold 199 bn, I mean, 201 bn cigarettes world-wide during the quarter. | Philip Morris said it sold 201 bn cigars, I mean, cigarettes world-wide during the quarter. |
p60/d1674 | My house is on the south bank of the Thames. | person.n.01 EQU speaker house.n.01 User -1 be.v.03 Theme -1 Time +1 Location +3 time.n.08 EQU now south.a.01 Theme +1 bank.n.01 PartOf +1 river.n.01 Name "Thames" | Your house, my house is on the south bank of the Thames. | My house is on the north, the south bank of the Thames. | My house is on the north bank, the south bank of the Thames. | Your house, I mean, my house is on the south bank of the Thames. | My house is on the north, I mean, the south bank of the Thames. | My house is on the north bank, I mean, the south bank of the Thames. |
p05/d1390 | Which female tennis player was stabbed in the back with a knife on April 30, 1993? | female.n.02 AttributeOf +1 person.n.01 Name ? Role +1 tennis_player.n.01 time.n.08 TPR now stab.v.01 Patient -3 Time -1 Location +1 Instrument +2 Time +4 back.n.01 knife.n.02 time.n.08 MonthOfYear 4 EQU +1 time.n.08 DayOfMonth 30 EQU +1 time.n.08 YearOfCentury 1993 | Which male, female tennis player was stabbed in the back with a knife on April 30, 1993? | Which female tennis player was stabbed in the chest, in the back with a knife on April 30, 1993? | Which female tennis player was stabbed in the back with a spoon, a knife on April 30, 1993? | Which male, I mean, female tennis player was stabbed in the back with a knife on April 30, 1993? | Which female tennis player was stabbed in the chest, I mean, in the back with a knife on April 30, 1993? | Which female tennis player was stabbed in the back with a spoon, I mean, a knife on April 30, 1993? |
p45/d3109 | The boy that you met at the park is adopted. | boy.n.01 person.n.01 EQU hearer meet.v.08 Co-Agent -2 Agent -1 Time +1 Location +2 time.n.08 TPR now park.n.02 time.n.08 EQU now adopt.v.05 Theme -6 Time -1 | The girl, the boy that you met at the park is adopted. | The boy that I, you met at the park is adopted. | The boy that you met at the park is fostered, adopted. | The girl, I mean, the boy that you met at the park is adopted. | The boy that I, I mean, you met at the park is adopted. | The boy that you met at the park is fostered, I mean, adopted. |
p20/d1983 | Mrs. Bruce was the first female pilot to fly between England and Japan. | mrs.n.01 female.n.02 Name "Bruce" Title -1 be.v.02 Theme -1 Time +1 Co-Theme +2 time.n.08 TPR now female.n.02 Order 1 Role +2 person.n.01 EQU -1 pilot.n.01 fly.v.03 Theme -2 Location +1 location.n.01 SY2 +2 country.n.02 Name "England" entity.n.01 Sub -1 Sub +1 country.n.02 Name "Japan" | Mrs. Anderson, Mrs. Bruce was the first female pilot to fly between England and Japan. | Mrs. Bruce was the first male, female pilot to fly between England and Japan. | Mrs. Bruce was the first female pilot to fly between France, England and Japan. | Mrs. Anderson, I mean, Mrs. Bruce was the first female pilot to fly between England and Japan. | Mrs. Bruce was the first male, I mean, female pilot to fly between England and Japan. | Mrs. Bruce was the first female pilot to fly between France, I mean, England and Japan. |
p00/d0798 | It took me two hours to memorize this sentence. | time.n.08 TPR now person.n.01 EQU speaker quantity.n.01 EQU 2 hour.n.01 Quantity -1 memorize.v.01 Time -4 Agent -3 Duration -1 Topic +1 sentence.n.01 | It wasted, took me two hours to memorize this sentence. | It took me three, two hours to memorize this sentence. | It took me two hours to memorize this paragraph, this sentence. | It wasted, I mean, took me two hours to memorize this sentence. | It took me three, I mean, two hours to memorize this sentence. | It took me two hours to memorize this paragraph, I mean, this sentence. |
p79/d1244 | The police estimates the loss at around two million DM. | police.n.01 estimate.v.01 Agent -1 Time +1 Theme +2 Value +4 time.n.08 EQU now loss.n.01 quantity.n.01 APX 2000000 deutsche_mark.n.01 Quantity -1 | The army, the police estimates the loss at around two million DM. | The police estimates the damage, the loss at around two million DM. | The police estimates the loss at around two million euros, DM. | The army, I mean, the police estimates the loss at around two million DM. | The police estimates the damage, I mean, the loss at around two million DM. | The police estimates the loss at around two million euros, I mean, DM. |
p03/d2053 | Japan has been sending athletes to the Olympics since 1912. | state.n.04 Name "Japan" time.n.08 TPR now send.v.01 Agent -2 Time -1 Theme +1 Destination +3 Start +4 person.n.01 Role +1 athlete.n.01 olympics.n.01 time.n.08 YearOfCentury 1912 | China, Japan has been sending athletes to the Olympics since 1912. | Japan has been sending engineers, athletes to the Olympics since 1912. | Japan has been sending athletes to the Paralympics, the Olympics since 1912. | China, I mean, Japan has been sending athletes to the Olympics since 1912. | Japan has been sending engineers, I mean, athletes to the Olympics since 1912. | Japan has been sending athletes to the Paralympics, I mean, the Olympics since 1912. |
p57/d2966 | Her chastity belt set off the metal detector at the airport. | female.n.02 chastity.n.01 belt.n.02 User -2 Goal -1 set_off.v.01 Causer -1 Time +1 Theme +2 Location +3 time.n.08 TPR now metal_detector.n.01 airport.n.01 | His, her chastity belt set off the metal detector at the airport. | Her chastity belt set off the fire alarm, the metal detector at the airport. | Her chastity belt set off the fire alarm, the metal detector at the airport. | His, I mean, her chastity belt set off the metal detector at the airport. | Her chastity belt set off the fire alarm, I mean, the metal detector at the airport. | Her chastity belt set off the fire alarm, I mean, the metal detector at the airport. |
p13/d3491 | A lot of people are dealing with allergies now. | entity.n.01 Quantity + EQU +1 person.n.01 time.n.08 EQU now deal.v.04 Agent -3 Time -1 Theme +1 Time +2 allergy.n.01 time.n.08 EQU now | A lot of animal, people are dealing with allergies now. | A lot of people are getting, are dealing with allergies now. | A lot of people are dealing with colds, allergies now. | A lot of animal, I mean, people are dealing with allergies now. | A lot of people are getting, I mean, are dealing with allergies now. | A lot of people are dealing with colds, I mean, allergies now. |
p90/d2399 | I ran away from home when I was thirteen. | person.n.01 EQU speaker run_away.v.01 Theme -1 Time +1 Source +2 time.n.08 TPR now home.n.01 person.n.01 EQU speaker time.n.08 TPR now old.a.01 AttributeOf -2 TIN -5 Time -1 Value +1 measure.n.02 Quantity 13 Unit +1 year.n.01 | I walked, ran away from home when I was thirteen. | I ran away from school, home when I was thirteen. | I ran away from school, home when I was thirteen. | I walked, I mean, ran away from home when I was thirteen. | I ran away from school, I mean, home when I was thirteen. | I ran away from school, I mean, home when I was thirteen. |
p78/d2341 | Tom flipped over the card and saw that it was the ace of spades. | male.n.02 Name "Tom" flip_over.v.01 Agent -1 Time +1 Theme +2 time.n.08 TPR now card.n.01 see.v.01 Proposition >1 Experiencer -4 Time +1 time.n.08 TPR now CONTINUATION <0 entity.n.01 ANA -3 be.v.02 Theme -1 Time +1 Co-Theme +2 time.n.08 TPR now ace.n.02 SubOf +1 spade.n.01 | Jerry, Tom flipped over the card and saw that it was the ace of spades. | Tom flipped over the queen, the card and saw that it was the ace of spades. | Tom flipped over the card and saw that it was the ace of hearts, the ace of spades. | Jerry, I mean, Tom flipped over the card and saw that it was the ace of spades. | Tom flipped over the queen, I mean, the card and saw that it was the ace of spades. | Tom flipped over the card and saw that it was the ace of hearts, I mean, the ace of spades. |
p80/d2136 | As soon as Tom heard the phone, he answered it. | male.n.02 Name "Tom" hear.v.01 Experiencer -1 Time +1 Stimulus +2 time.n.08 TPR now phone.n.01 CONTINUATION <1 male.n.02 ANA -4 answer.v.02 Agent -1 Time +1 Theme +2 time.n.08 TPR now entity.n.01 ANA -4 | As far as, as soon as Tom heard the phone, he answered it. | As soon as Nick, Tom heard the phone, he answered it. | As soon as Tom heard the phone, he answered it, the door. | As far as, I mean, as soon as Tom heard the phone, he answered it. | As soon as Nick, I mean, Tom heard the phone, he answered it. | As soon as Tom heard the phone, he answered it, I mean, the door. |
p87/d2198 | All of a sudden, a fire broke out in the movie theater. | all_of_a_sudden.r.02 fire.n.01 break_out.v.01 Manner -2 Theme -1 Time +1 Location +2 time.n.08 TPR now movie_theater.n.01 | Gradually, all of a sudden, a fire broke out in the movie theater. | All of a sudden, a flood, a fire broke out in the movie theater. | All of a sudden, a fire broke out in the concert hall, the movie theater. | Gradually, I mean, all of a sudden, a fire broke out in the movie theater. | All of a sudden, a flood, I mean, a fire broke out in the movie theater. | All of a sudden, a fire broke out in the concert hall, I mean, the movie theater. |
p90/d2068 | Pochi and Moko are in the kennel, and other dogs are playing in the garden. | animal.n.01 Name "Pochi" entity.n.01 Sub -1 Sub +1 animal.n.01 Name "Moko" be.v.03 Theme -2 Time +1 Location +2 time.n.08 EQU now kennel.n.01 CONTINUATION <1 dog.n.01 NEQ +1 dog.n.01 time.n.08 EQU now play.v.05 Agent -2 Time -1 Location +1 garden.n.03 | Pochi and Tofu, Moko are in the kennel, and other dogs are playing in the garden. | Pochi and Moko are in the yard, the kennel, and other dogs are playing in the garden. | Pochi and Moko are in the kennel, and other dogs are playing in the yard, the garden. | Pochi and Tofu, I mean, Moko are in the kennel, and other dogs are playing in the garden. | Pochi and Moko are in the yard, I mean, the kennel, and other dogs are playing in the garden. | Pochi and Moko are in the kennel, and other dogs are playing in the yard, I mean, the garden. |
p64/d2961 | The mountains in the Himalayas are higher than those in the Andes. | mountain.n.01 Location +1 range.n.04 Name "Himalayas" time.n.08 EQU now high.a.02 AttributeOf -3 Time -1 Degree +1 more.r.01 Theme -4 Co-Theme +1 mountain.n.01 Location +1 range.n.04 Name "Andes" | The lakes, the mountains in the Himalayas are higher than those in the Andes. | The mountains in the Alps, the Himalayas are higher than those in the Andes. | The mountains in the Himalayas are higher than those in the Alps, the Andes. | The lakes, I mean, the mountains in the Himalayas are higher than those in the Andes. | The mountains in the Alps, I mean, the Himalayas are higher than those in the Andes. | The mountains in the Himalayas are higher than those in the Alps, I mean, the Andes. |
p67/d2005 | Money and I are strangers; in other words, I am poor. | money.n.01 entity.n.01 Sub -1 Sub +1 person.n.01 EQU speaker be.v.01 Theme -2 Time +1 Co-Theme +2 time.n.08 EQU now person.n.01 Role +1 stranger.n.01 CONTINUATION <1 person.n.01 EQU speaker time.n.08 EQU now poor.a.02 AttributeOf -2 Time -1 | Wealth, money and I are strangers; in other words, I am poor. | Money and I are lovers, strangers; in other words, I am poor. | Money and I are strangers; in other words, I am rich, poor. | Wealth, I mean, money and I are strangers; in other words, I am poor. | Money and I are lovers, I mean, strangers; in other words, I am poor. | Money and I are strangers; in other words, I am rich, I mean, poor. |
p80/d2047 | The guards found a hacksaw blade in the prisoner's pocket. | person.n.01 Role +1 guard.n.01 find.v.02 Agent -2 Time +1 Theme +3 Location +6 time.n.08 TPR now hacksaw.n.01 blade.n.09 PartOf -1 person.n.01 Role +1 prisoner.n.01 pocket.n.01 User -2 | The farmers, the guards found a hacksaw blade in the prisoner's pocket. | The guards found a screwdriver, a hacksaw blade in the prisoner's pocket. | The guards found a hacksaw blade in the prisoner's hand, pocket. | The farmers, I mean, the guards found a hacksaw blade in the prisoner's pocket. | The guards found a screwdriver, I mean, a hacksaw blade in the prisoner's pocket. | The guards found a hacksaw blade in the prisoner's hand, I mean, pocket. |
p89/d3526 | I took my boots off because my feet were freezing. | person.n.01 EQU speaker take_off.v.06 Agent -1 Time +1 Theme +3 time.n.08 TPR now person.n.01 EQU speaker boot.n.01 User -1 EXPLANATION <1 person.n.01 EQU speaker foot.n.01 PartOf -1 time.n.08 TPR now freeze.v.03 Patient -2 Time -1 | She, I took my boots off because my feet were freezing. | I took my gloves, my boots off because my feet were freezing. | I took my boots off because my hands, my feet were freezing. | She, I mean, I took my boots off because my feet were freezing. | I took my gloves, I mean, my boots off because my feet were freezing. | I took my boots off because my hands, I mean, my feet were freezing. |
p19/d2950 | That is the girl whose father is a doctor. | entity.n.01 be.v.02 Theme -1 Time +1 Co-Theme +2 time.n.08 EQU now girl.n.01 person.n.01 Role +1 father.n.01 Of -2 be.v.08 Theme -2 Time +1 Co-Theme +2 time.n.08 EQU now person.n.01 Role +1 doctor.n.01 | This, that is the girl whose father is a doctor. | That is the woman, the girl whose father is a doctor. | That is the girl whose father is a lawyer, a doctor. | This, I mean, that is the girl whose father is a doctor. | That is the woman, I mean, the girl whose father is a doctor. | That is the girl whose father is a lawyer, I mean, a doctor. |
p31/d3277 | Tom puts honey in his tea instead of sugar. | male.n.02 Name "Tom" put.v.01 Agent -1 Time +1 Theme +2 Destination +4 time.n.08 EQU now honey.n.01 male.n.02 ANA -4 tea.n.01 Consumer -1 NEGATION <1 entity.n.01 EQU -5 Theme +1 sugar.n.01 | Jason, Tom puts honey in his tea instead of sugar. | Tom puts jam, honey in his tea instead of sugar. | Tom puts honey in his tea instead of jam, sugar. | Jason, I mean, Tom puts honey in his tea instead of sugar. | Tom puts jam, I mean, honey in his tea instead of sugar. | Tom puts honey in his tea instead of jam, I mean, sugar. |
p01/d1585 | Tom took a picture of his dog and sent it to Mary. | male.n.02 Name "Tom" take.v.16 Agent -1 Time +1 Theme +2 time.n.08 TPR now picture.n.01 Topic +2 male.n.02 ANA -4 dog.n.01 Owner -1 send.v.03 Agent -6 Time +1 Theme +2 Destination +3 time.n.08 TPR now entity.n.01 ANA -5 female.n.02 Name "Mary" | Jerry, Tom took a picture of his dog and sent it to Mary. | Tom took a photo, a picture of his dog and sent it to Mary. | Tom took a picture of his cat, his dog and sent it to Mary. | Jerry, I mean, Tom took a picture of his dog and sent it to Mary. | Tom took a photo, I mean, a picture of his dog and sent it to Mary. | Tom took a picture of his cat, I mean, his dog and sent it to Mary. |
p04/d0761 | Procter and Gamble spends $1.8 billion for Research and Development. | company.n.01 Name "Procter and Gamble" spend.v.02 Agent -1 Time +1 Asset +2 Theme +4 time.n.08 EQU now dollar.n.01 Quantity +1 quantity.n.01 EQU 1800000000 research_and_development.n.01 | Colgate, Procter and Gamble spends $1.8 billion for Research and Development. | Procter and Gamble spends $1.8 million, $1.8 billion for Research and Development. | Procter and Gamble spends $1.8 billion for Marketing, Research and Development. | Colgate, I mean, Procter and Gamble spends $1.8 billion for Research and Development. | Procter and Gamble spends $1.8 million, I mean, $1.8 billion for Research and Development. | Procter and Gamble spends $1.8 billion for Marketing, I mean, Research and Development. |
p50/d1422 | The trip was canceled because of a terrible storm. | trip.n.01 time.n.08 TPR now cancel.v.01 Theme -2 Time -1 Causer +1 entity.n.01 EQU +2 terrible.a.03 AttributeOf +1 storm.n.01 | The seminar, the trip was canceled because of a terrible storm. | The trip was postponed, canceled because of a terrible storm. | The trip was canceled because of a traffic jam, a terrible storm. | The seminar, I mean, the trip was canceled because of a terrible storm. | The trip was postponed, I mean, canceled because of a terrible storm. | The trip was canceled because of a traffic jam, I mean, a terrible storm. |
p93/d0874 | Your eyes are as beautiful as the arms of the Venus de Milo. | person.n.01 EQU hearer eye.n.01 PartOf -1 time.n.08 EQU now as.r.01 Theme -2 Co-Theme +2 beautiful.a.01 AttributeOf -3 Time -2 Degree -1 arm.n.01 PartOf +1 sculpture.n.01 Name "Venus de Milo" | Your nose, your eyes are as beautiful as the arms of the Venus de Milo. | Your eyes are as beautiful as the legs, the arms of the Venus de Milo. | Your eyes are as beautiful as the legs, the arms of the Venus de Milo. | Your nose, I mean, your eyes are as beautiful as the arms of the Venus de Milo. | Your eyes are as beautiful as the legs, I mean, the arms of the Venus de Milo. | Your eyes are as beautiful as the legs, I mean, the arms of the Venus de Milo. |
p00/d2320 | My friend invited me to dinner at the restaurant. | person.n.01 EQU speaker person.n.01 Role +1 friend.n.01 Of -2 invite.v.05 Agent -2 Time +1 Beneficiary +2 Theme +3 time.n.08 TPR now person.n.01 EQU speaker dinner.n.02 Location +1 restaurant.n.01 | Her, my friend invited me to dinner at the restaurant. | My friend invited me to breakfast, dinner at the restaurant. | My friend invited me to dinner at the café, the restaurant. | Her, I mean, my friend invited me to dinner at the restaurant. | My friend invited me to breakfast, I mean, dinner at the restaurant. | My friend invited me to dinner at the café, I mean, the restaurant. |
p56/d2506 | Tom arrived at the gate and rang the bell. | male.n.02 Name "Tom" arrive.v.01 Theme -1 Time +1 Destination +2 time.n.08 TPR now gate.n.01 ring.v.03 Agent -4 Time +1 Theme +2 time.n.08 TPR now bell.n.02 | John, Tom arrived at the gate and rang the bell. | Tom arrived at the door, the gate and rang the bell. | Tom arrived at the gate and rang the door, the bell. | John, I mean, Tom arrived at the gate and rang the bell. | Tom arrived at the door, I mean, the gate and rang the bell. | Tom arrived at the gate and rang the door, I mean, the bell. |
p06/d2364 | She answers us whenever we ask her a question. | female.n.02 answer.v.01 Agent -1 Time +1 Beneficiary +2 time.n.08 EQU now person.n.01 Sub speaker CONTINUATION <1 person.n.01 Sub speaker ask.v.01 Agent -1 Time +1 Recipient +2 Topic +3 time.n.08 EQU now female.n.02 ANA -7 question.n.01 | He, she answers us whenever we ask her a question. | She answers us whenever he, we ask her a question. | She answers us whenever we ask her a riddle, a question. | He, I mean, she answers us whenever we ask her a question. | She answers us whenever he, I mean, we ask her a question. | She answers us whenever we ask her a riddle, I mean, a question. |
p00/d3233 | The doctor told Tom that he should eat a lot of vegetables. | person.n.01 Role +1 doctor.n.01 tell.v.02 Proposition >1 Agent -2 Time +1 Recipient +2 time.n.08 TPR now male.n.02 Name "Tom" CONTINUATION <0 male.n.02 ANA -1 NECESSITY <1 eat.v.01 Agent -1 Patient +1 entity.n.01 Quantity + EQU +1 vegetable.n.01 | The nurse, the doctor told Tom that he should eat a lot of vegetables. | The doctor told Jerry, Tom that he should eat a lot of vegetables. | The doctor told Tom that he should eat a lot of fruits, vegetables. | The nurse, I mean, the doctor told Tom that he should eat a lot of vegetables. | The doctor told Jerry, I mean, Tom that he should eat a lot of vegetables. | The doctor told Tom that he should eat a lot of fruits, I mean, vegetables. |
p50/d2610 | There was a beautiful woman with black hair in the park. | entity.n.01 be.v.03 Time +1 EQU -1 Theme +3 Location +6 time.n.08 TPR now beautiful.a.01 AttributeOf +1 woman.n.01 Part +2 black.a.01 hair.n.01 Colour -1 park.n.02 | Here, there was a beautiful woman with black hair in the park. | There was a beautiful man, a woman with black hair in the park. | There was a beautiful woman with black hair in the garden, the park. | Here, I mean, there was a beautiful woman with black hair in the park. | There was a beautiful man, I mean, a woman with black hair in the park. | There was a beautiful woman with black hair in the garden, I mean, the park. |
p27/d3438 | How many neurons are there in this human brain? | neuron.n.01 Quantity ? be.v.03 Theme -1 Time +1 EQU +2 Location +3 time.n.08 EQU now entity.n.01 location.n.01 STI +2 human.n.01 brain.n.01 PartOf -1 | How few, many neurons are there in this human brain? | How many glial cells, neurons are there in this human brain? | How many neurons are there in this computer chip, this human brain? | How few, I mean, many neurons are there in this human brain? | How many glial cells, I mean, neurons are there in this human brain? | How many neurons are there in this computer chip, I mean, this human brain? |
p00/d0317 | Padalecki was born in San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | male.n.02 Name "Padalecki" time.n.08 TPR now bear.v.02 Patient -2 Time -1 Location +1 Recipient +4 city.n.01 Name "San Antonio" PartOf +1 state.n.01 Name "Texas" male.n.02 Name "gerald padalecki" entity.n.01 Sub -1 Sub +1 female.n.02 Name "Sherri Padalecki" | Padalecki was found, was born in San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | Padalecki was born in Dallas, San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | Padalecki was born in San Antonio, Texas, to Gerald and Sherri Padalecki. San Francisco, San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | Padalecki was found, I mean, was born in San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | Padalecki was born in Dallas, I mean, San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] | Padalecki was born in San Antonio, Texas, to Gerald and Sherri Padalecki. San Francisco, I mean, San Antonio, Texas, to Gerald and Sherri Padalecki. [1] [2] |
p70/d1872 | Tom has been sitting on the riverbank for hours. | male.n.02 Name "Tom" time.n.08 TPR now sit.v.01 Theme -2 Time -1 Location +1 Duration +2 riverbank.n.01 hour.n.01 | Jerry, Tom has been sitting on the riverbank for hours. | Tom has been sitting on the lakeshore, the riverbank for hours. | Tom has been sitting on the lakeside, the riverbank for hours. | Jerry, I mean, Tom has been sitting on the riverbank for hours. | Tom has been sitting on the lakeshore, I mean, the riverbank for hours. | Tom has been sitting on the lakeside, I mean, the riverbank for hours. |
p97/d1395 | How many rooms does the Las Vegas MGM Grand Hotel have? | room.n.01 Quantity ? time.n.08 EQU now city.n.01 Name "Las Vegas" facility.n.01 Name "MGM Grand Hotel" Location -1 have.v.02 Theme -4 Time -3 Pivot -1 | How less, many rooms does the Las Vegas MGM Grand Hotel have? | How many rooms does the Las Vegas Bellagio, the MGM Grand Hotel have? | "How many rooms does the Las Vegas MGM Grand Hotel have, own?" | How less, I mean, many rooms does the Las Vegas MGM Grand Hotel have? | How many rooms does the Las Vegas Bellagio, I mean, the MGM Grand Hotel have? | "How many rooms does the Las Vegas MGM Grand Hotel have, I mean, own?" |
p41/d2557 | I was born on the twenty second of November, nineteen forty eight. | person.n.01 EQU speaker time.n.08 TPR now bear.v.02 Patient -2 Time -1 Time +1 time.n.08 DayOfMonth 22 EQU +2 time.n.08 MonthOfYear 11 EQU -1 time.n.08 YearOfCentury 1948 | The twenty first, the twenty second of November, nineteen forty eight. | I was born on the twelfth, the twenty second of November, nineteen forty eight. | I was born on the twenty third, the twenty second of November, nineteen forty eight. | The twenty first, I mean, the twenty second of November, nineteen forty eight. | I was born on the twelfth, I mean, the twenty second of November, nineteen forty eight. | I was born on the twenty third, I mean, the twenty second of November, nineteen forty eight. |
p41/d1861 | I ran into a friend of mine on the bus. | person.n.01 EQU speaker run_into.v.04 Agent -1 Time +1 Co-Agent +2 Location +5 time.n.08 TPR now person.n.01 Role +1 friend.n.01 Of +1 person.n.01 EQU speaker bus.n.01 | I ran over, ran into a friend of mine on the bus. | I ran into a neighbor, a friend of mine on the bus. | I ran into a friend of mine on the train, the bus. | I ran over, I mean, ran into a friend of mine on the bus. | I ran into a neighbor, I mean, a friend of mine on the bus. | I ran into a friend of mine on the train, I mean, the bus. |
p01/d1777 | He left the bedroom and entered the living room. | male.n.02 leave.v.01 Theme -1 Time +1 Source +2 time.n.08 TPR now bedroom.n.01 enter.v.01 Theme -4 Time +1 Destination +2 time.n.08 TPR now living_room.n.01 | He entered, left the bedroom and entered the living room. | He left the kitchen, the bedroom and entered the living room. | He left the bedroom and entered the kitchen, the living room. | He entered, I mean, left the bedroom and entered the living room. | He left the kitchen, I mean, the bedroom and entered the living room. | He left the bedroom and entered the kitchen, I mean, the living room. |
p42/d1518 | I was born on the twenty-second of June in 1974. | person.n.01 EQU speaker time.n.08 TPR now bear.v.02 Patient -2 Time -1 Time +1 time.n.08 DayOfMonth 22 time.n.08 MonthOfYear 6 EQU -1 time.n.08 YearOfCentury 1974 EQU -1 | My mom, I was born on the twenty-second of June in 1974. | I was born on the twenty-first, the twenty-second of June in 1974. | I was born on the twenty-second of June in 1973, 1974. | My mom, I mean, I was born on the twenty-second of June in 1974. | I was born on the twenty-first, I mean, the twenty-second of June in 1974. | I was born on the twenty-second of June in 1973, I mean, 1974. |
p73/d2775 | She chatted with her friends about the baseball game. | female.n.02 chat.v.01 Agent -1 Time +1 Co-Agent +3 Topic +5 time.n.08 TPR now female.n.02 ANA -3 person.n.01 Role +1 friend.n.01 Of -2 baseball_game.n.01 | He, she chatted with her friends about the baseball game. | She chatted with her coworkers, her friends about the baseball game. | She chatted with her friends about the basketball game, the baseball game. | He, I mean, she chatted with her friends about the baseball game. | She chatted with her coworkers, I mean, her friends about the baseball game. | She chatted with her friends about the basketball game, I mean, the baseball game. |
p40/d1481 | Besides being a surgeon, he was a famous writer. | be.v.08 Co-Theme +1 Theme +3 person.n.01 Role +1 surgeon.n.01 male.n.02 be.v.08 Theme -1 Time +1 Co-Theme +3 time.n.08 TPR now famous.a.01 AttributeOf +2 person.n.01 Role +1 writer.n.01 | Except, besides being a surgeon, he was a famous writer. | Besides being a painter, a surgeon, he was a famous writer. | Besides being a surgeon, he was a famous painter, a writer. | Except, I mean, besides being a surgeon, he was a famous writer. | Besides being a painter, I mean, a surgeon, he was a famous writer. | Besides being a surgeon, he was a famous painter, I mean, a writer. |
p78/d3210 | The Japanese attacked Pearl Harbor on December 7, 1941. | person.n.01 Source +1 country.n.02 Name "japan" attack.v.01 Agent -2 Time +1 Patient +2 Time +4 time.n.08 TPR now seaport.n.01 Name "Pearl Harbor" time.n.08 MonthOfYear 12 EQU +1 time.n.08 DayOfMonth 7 EQU +1 time.n.08 YearOfCentury 1941 | The Germans, the Japanese attacked Pearl Harbor on December 7, 1941. | The Japanese bombed, attacked Pearl Harbor on December 7, 1941. | The Japanese attacked Pearl Harbor on December 8, 1941, December 7, 1941. | The Germans, I mean, the Japanese attacked Pearl Harbor on December 7, 1941. | The Japanese bombed, I mean, attacked Pearl Harbor on December 7, 1941. | The Japanese attacked Pearl Harbor on December 8, I mean, 1941, December 7, 1941. |
p02/d1144 | Machine guns were mounted on window-sills, rifles stacked between the mattresses. | machine_gun.n.01 time.n.08 TPR now mount.v.01 Theme -2 Time -1 Location +1 windowsill.n.01 CONTINUATION <1 rifle.n.01 stack.v.02 Theme -1 Time +1 Location +2 time.n.08 TPR now location.n.01 SY2 +1 mattress.n.01 | Blades, machine guns were mounted on window-sills, rifles stacked between the mattresses. | Machine guns were mounted on rooftops, window-sills, rifles stacked between the mattresses. | Machine guns were mounted on window-sills, rifles stacked between the pillows, the mattresses. | Blades, I mean, machine guns were mounted on window-sills, rifles stacked between the mattresses. | Machine guns were mounted on rooftops, I mean, window-sills, rifles stacked between the mattresses. | Machine guns were mounted on window-sills, rifles stacked between the pillows, I mean, the mattresses. |
p28/d3463 | Tom made himself a peanut butter and jelly sandwich. | male.n.02 Name "Tom" make.v.03 Agent -1 Time +1 Beneficiary +2 Result +5 time.n.08 TPR now male.n.02 ANA -3 peanut_butter.n.01 jelly.n.02 sandwich.n.01 Part -2 Part -1 | Kevin, Tom made himself a peanut butter and jelly sandwich. | Tom made himself a ham, peanut butter and jelly sandwich. | Tom made himself a peanut butter and jelly sandwich, a ham and cheese sandwich. | Kevin, I mean, Tom made himself a peanut butter and jelly sandwich. | Tom made himself a ham, I mean, peanut butter and jelly sandwich. | Tom made himself a peanut butter and jelly sandwich, I mean, a ham and cheese sandwich. |
p80/d1692 | An actress fainted right in the middle of the play. | person.n.01 Role +1 actress.n.01 faint.v.01 Patient -2 Time +1 Context +2 time.n.08 TPR now middle.n.04 PartOf +1 play.n.02 | An actress from the audience, an actress fainted right in the middle of the play. | An actress fainted right in the garden, the middle of the play. | An actress fainted right in the middle of the movie, the play. | An actress from the audience, I mean, an actress fainted right in the middle of the play. | An actress fainted right in the garden, I mean, the middle of the play. | An actress fainted right in the middle of the movie, I mean, the play. |
p30/d0016 | A man is filling a container made of plastic | man.n.01 time.n.08 EQU now fill.v.01 Agent -2 Time -1 Destination +1 container.n.01 make.v.06 Product -1 Material +1 plastic.n.01 | A box, a man is filling a container made of plastic | A man is filling a bottle, a container made of plastic | A man is filling a container made of glass, plastic. | A box, I mean, a man is filling a container made of plastic | A man is filling a bottle, I mean, a container made of plastic | A man is filling a container made of glass, I mean, plastic. |
p14/d1811 | Tom, Mary and John were playing tag on the playground. | male.n.02 Name "Tom" female.n.02 Name "Mary" entity.n.01 Sub -2 Sub -1 Sub +1 male.n.02 Name "John" time.n.08 TPR now play.v.01 Agent -3 Time -1 Theme +1 tag.n.04 Location +1 playground.n.02 | John, Tom, Mary and John were playing tag on the playground. | Tom, Mary and John were playing hide and seek, tag on the playground. | Tom, Mary and John were playing tag on the soccer field, the playground. | John, I mean, Tom, Mary and John were playing tag on the playground. | Tom, Mary and John were playing hide and seek, I mean, tag on the playground. | Tom, Mary and John were playing tag on the soccer field, I mean, the playground. |
p12/d2112 | If I don't have a bow, I can't play the violin. | person.n.01 EQU speaker NEGATION <1 time.n.08 EQU now have.v.01 Pivot -2 Time -1 Theme +1 bow.n.02 CONSEQUENCE <1 person.n.01 EQU speaker NEGATION <1 POSSIBILITY <1 play.v.07 Agent -1 Theme +1 violin.n.01 | If my son, I don't have a bow, I can't play the violin. | If I don't have a bat, a bow, I can't play the violin. | If I don't have a bow, I can't play the flute, the violin. | If my son, I mean, I don't have a bow, I can't play the violin. | If I don't have a bat, I mean, a bow, I can't play the violin. | If I don't have a bow, I can't play the flute, I mean, the violin. |
p49/d3111 | I hear that Bob and Lucy have broken up. | person.n.01 EQU speaker hear.v.02 Proposition >1 Experiencer -1 Time +1 time.n.08 EQU now CONTINUATION <0 male.n.02 Name "Bob" entity.n.01 Sub -1 Sub +1 female.n.02 Name "Lucy" break_up.v.02 Patient -2 Time +1 time.n.08 TPR now | I sense, I hear that Bob and Lucy have broken up. | I hear that Alice, Bob and Lucy have broken up. | I hear that Bob and Lucy have broken up, separated. | I sense, I mean, I hear that Bob and Lucy have broken up. | I hear that Alice, I mean, Bob and Lucy have broken up. | I hear that Bob and Lucy have broken up, I mean, separated. |
p27/d2907 | Kinshasa is the capital of Democratic Republic of the Congo. | city.n.01 Name "Kinshasa" be.v.02 Theme -1 Time +1 Co-Theme +2 time.n.08 EQU now national_capital.n.01 PartOf +1 country.n.02 Name "Democratic Republic of the Congo" | Bukavu, Kinshasa is the capital of Democratic Republic of the Congo. | Kinshasa is a town, the capital of the Democratic Republic of the Congo. | Kinshasa is the capital of Rwanda, the Democratic Republic of the Congo. | Bukavu, I mean, Kinshasa is the capital of Democratic Republic of the Congo. | Kinshasa is a town, I mean, the capital of the I mean, Democratic Republic of the Congo. | Kinshasa is the capital of Rwanda, I mean, the Democratic Republic of the Congo. |
p83/d1705 | The hostages starved because they were deprived of food. | person.n.01 Role +1 hostage.n.01 starve.v.02 Patient -2 Time +1 time.n.08 TPR now EXPLANATION <1 person.n.01 EQU -4 time.n.08 TPR now deprive.v.02 Source -2 Time -1 Time +1 Theme +2 time.n.08 TPR now food.n.02 | The prisoners, the hostages starved because they were deprived of food. | The hostages survived, starved because they were deprived of food. | The hostages starved because they were deprived of water, food. | The prisoners, I mean, the hostages starved because they were deprived of food. | The hostages survived, I mean, starved because they were deprived of food. | The hostages starved because they were deprived of water, I mean, food. |
p18/d1708 | The restaurant billed me 250,000 yen for the party. | restaurant.n.01 bill.v.01 Agent -1 Time +1 Recipient +2 Asset +4 Theme +5 time.n.08 TPR now person.n.01 EQU speaker quantity.n.01 EQU 250000 yen.n.02 Quantity -1 party.n.04 | The banquet hall, the restaurant billed me 250,000 yen for the party. | The restaurant billed me 150,000, 250,000 yen for the party. | The restaurant billed me 250,000 yen for the concert, the party. | The banquet hall, I mean, the restaurant billed me 250,000 yen for the party. | The restaurant billed me 150,000, I mean, 250,000 yen for the party. | The restaurant billed me 250,000 yen for the concert, I mean, the party. |
p17/d1818 | I bought a VCR at that store for a low price. | person.n.01 EQU speaker buy.v.01 Agent -1 Time +1 Theme +2 Source +3 Asset +5 time.n.08 TPR now vcr.n.01 store.n.01 low.a.01 Value + price.n.02 Attribute -1 | My cousin, I bought a VCR at that store for a low price. | I bought a DVD player, a VCR at that store for a low price. | I bought a VCR at that store for a high price, a low price. | My cousin, I mean, I bought a VCR at that store for a low price. | I bought a DVD player, I mean, a VCR at that store for a low price. | I bought a VCR at that store for a high price, I mean, a low price. |
p71/d2285 | Tom didn't realize he had his sweater on inside out. | male.n.02 Name "Tom" NEGATION <1 time.n.08 TPR now realize.v.01 Time -1 Proposition >1 Experiencer -2 CONTINUATION <0 male.n.02 ANA -3 have_on.v.01 Agent -1 Time +1 Theme +3 Manner +4 time.n.08 TPR now male.n.02 ANA -6 sweater.n.01 User -1 inside_out.r.01 | Jerry, Tom didn't realize he had his sweater on inside out. | Tom didn't realize he had his shirt, his sweater on inside out. | Tom didn't realize he had his shirt, his sweater on inside out. | Jerry, I mean, Tom didn't realize he had his sweater on inside out. | Tom didn't realize he had his shirt, I mean, his sweater on inside out. | Tom didn't realize he had his shirt, I mean, his sweater on inside out. |
p71/d0885 | The U.S. government has three branches: the executive, the legislative, and the judicial. | country.n.02 Name "us" government.n.01 Location -1 have.v.02 Pivot -1 Time +1 Theme +8 time.n.08 EQU now quantity.n.01 EQU 3 branch.n.01 Quantity -1 EQU +5 executive.a.01 AttributeOf +1 entity.n.01 legislative.a.01 AttributeOf +1 entity.n.01 entity.n.01 Sub -3 Sub -1 Sub +2 judicial.a.01 AttributeOf +1 entity.n.01 | The U.K. government, the U.S. government has three branches: the executive, the legislative, and the judicial. | The U.S. government has the legislative, the executive, and the judicial. | The U.S. government has three branches: the executive, the legislative, and the judicial, the judiciary. | The U.K. government, I mean, the U.S. government has three branches: the executive, the legislative, and the judicial. | The U.S. government has the legislative, I mean, the executive, and the judicial. | The U.S. government has three branches: the executive, the legislative, and the judicial, I mean, the judiciary. |
p86/d1591 | I am hungry because I did not eat lunch. | person.n.01 EQU speaker time.n.08 EQU now hungry.a.01 Experiencer -2 Time -1 EXPLANATION <1 person.n.01 EQU speaker NEGATION <1 time.n.08 TPR now eat.v.01 Agent -2 Time -1 Patient +1 lunch.n.01 | I am full, hungry because I did not eat lunch. | I am full, hungry because I did not eat lunch. | I am hungry because I did not eat dinner, lunch. | I am full, I mean, hungry because I did not eat lunch. | I am full, I mean, hungry because I did not eat lunch. | I am hungry because I did not eat dinner, I mean, lunch. |
p39/d1721 | Tom rolled over and snoozed for another 15 minutes. | male.n.02 Name "Tom" roll_over.v.01 Agent -1 Time +1 time.n.08 TPR now snooze.v.01 Agent -3 Duration +4 minute.n.01 Quantity +1 NEQ +3 quantity.n.01 EQU 15 quantity.n.01 EQU 15 minute.n.01 Quantity -1 | Tim, Tom rolled over and snoozed for another 15 minutes. | Tom rolled over and twitched, snoozed for another 15 minutes. | Tom rolled over and snoozed for another 10, 15 minutes. | Tim, I mean, Tom rolled over and snoozed for another 15 minutes. | Tom rolled over and twitched, I mean, snoozed for another 15 minutes. | Tom rolled over and snoozed for another 10, I mean, 15 minutes. |
p90/d2729 | The little girl, deeply moved by the old man's pitiful story, burst into tears. | little.a.03 AttributeOf +1 girl.n.01 entity.n.01 EQU -1 deeply.r.01 move.v.09 Experiencer -2 Degree -1 Stimulus +4 old.a.01 Value + man.n.01 Attribute -1 pitiful.a.03 AttributeOf +1 story.n.01 Creator -2 burst.v.02 Source -8 Time +1 Theme +2 time.n.08 TPR now tear.n.01 | The old man, the little girl, deeply moved by the old man's pitiful story, burst into tears. | The little girl, deeply moved by the young woman's, the old man's pitiful story, burst into tears. | The little girl, deeply moved by the old man's amusing story, his pitiful story. | The old man, I mean, the little girl, deeply moved by the old man's pitiful story, burst into tears. | The little girl, deeply moved by the young woman's, I mean, the old man's pitiful story, burst into tears. | The little girl, deeply moved by the old man's amusing story, I mean, his pitiful story. |
p80/d2637 | It took me a couple of hours to solve this problem. | time.n.08 TPR now person.n.01 EQU speaker couple.n.03 entity.n.01 Sub -1 Sub +1 hour.n.01 solve.v.01 Time -5 Agent -4 Duration -2 Theme +1 problem.n.02 | It wasted, took me a couple of hours to solve this problem. | It took me a few, a couple of hours to solve this problem. | It took me a couple of days, hours to solve this problem. | It wasted, I mean, took me a couple of hours to solve this problem. | It took me a few, I mean, a couple of hours to solve this problem. | It took me a couple of days, I mean, hours to solve this problem. |
p81/d2628 | Tom grabbed the rope that was lowered from the helicopter. | male.n.02 Name "Tom" grab.v.03 Agent -1 Time +1 Theme +2 time.n.08 TPR now rope.n.01 time.n.08 TPR now lower.v.01 Theme -2 Time -1 Source +1 helicopter.n.01 | Jerry, Tom grabbed the rope that was lowered from the helicopter. | Tom grabbed the ladder, the rope that was lowered from the helicopter. | Tom grabbed the ladder, the rope that was lowered from the helicopter. | Jerry, I mean, Tom grabbed the rope that was lowered from the helicopter. | Tom grabbed the ladder, I mean, the rope that was lowered from the helicopter. | Tom grabbed the ladder, I mean, the rope that was lowered from the helicopter. |
p50/d1728 | A fire broke out in the middle of the city. | fire.n.01 break_out.v.01 Theme -1 Time +1 Location +2 time.n.08 TPR now middle.n.01 PartOf +1 city.n.01 | A flood, a fire broke out in the middle of the city. | A fire broke out in the park, the middle of the city. | A fire broke out in the middle of the countryside, the city. | A flood, I mean, a fire broke out in the middle of the city. | A fire broke out in the park, I mean, the middle of the city. | A fire broke out in the middle of the countryside, I mean, the city. |
p01/d1880 | Two small rabbits, a white rabbit and a black rabbit, lived in a large forest. | quantity.n.01 EQU 2 small.a.01 Value + rabbit.n.01 Quantity -2 Attribute -1 EQU +3 white.a.01 rabbit.n.01 Colour -1 entity.n.01 Sub -1 Sub +2 black.a.01 rabbit.n.01 Colour -1 live.v.01 Theme -6 Time +1 Location +3 time.n.08 TPR now large.a.01 Value + forest.n.02 Attribute -1 | A large bear, two small rabbits, a white rabbit and a black rabbit, lived in a large forest. | Two small squirrels, small rabbits, a white rabbit and a black rabbit, lived in a large forest. | Two small rabbits, a white rabbit and a black rabbit, lived in a small village, a large forest. | A large bear, I mean, two small rabbits, a white rabbit and a black rabbit, lived in a large forest. | Two small squirrels, I mean, small rabbits, a white rabbit and a black rabbit, lived in a large forest. | Two small rabbits, a white rabbit and a black rabbit, lived in a small village, I mean, a large forest. |
p01/d0867 | I was born on 23 March 1969 in Barcelona. | person.n.01 EQU speaker time.n.08 TPR now bear.v.02 Patient -2 Time -1 Time +2 Location +4 time.n.08 DayOfMonth 23 EQU +1 time.n.08 MonthOfYear 3 EQU +1 time.n.08 YearOfCentury 1969 city.n.01 Name "Barcelona" | My mum, I was born on 23 March 1969 in Barcelona. | I was born on 12 April, 23 March 1969 in Barcelona. | I was born on 23 March 1969 in Madrid, Barcelona. | My mum, I mean, I was born on 23 March 1969 in Barcelona. | I was born on 12 April, I mean, 23 March 1969 in Barcelona. | I was born on 23 March 1969 in Madrid, I mean, Barcelona. |
p16/d2882 | The cats are curious about the red dot on the wall. | cat.n.01 time.n.08 EQU now curious.a.02 Experiencer -2 Time -1 Stimulus +2 red.a.01 dot.n.01 Colour -1 Location +1 wall.n.01 | The dogs, the cats are curious about the red dot on the wall. | The cats are cautious, curious about the red dot on the wall. | The cats are curious about the red line, the red dot on the wall. | The dogs, I mean, the cats are curious about the red dot on the wall. | The cats are cautious, I mean, curious about the red dot on the wall. | The cats are curious about the red line, I mean, the red dot on the wall. |
p30/d0317 | Their son, Thomas Colton Padalecki, was born on March 19, 2012. | person.n.01 person.n.01 Role +1 EQU +2 son.n.01 Of -2 male.n.02 Name "Thomas Colton Padalecki" time.n.08 TPR now bear.v.02 Patient -4 Time -1 Time +2 time.n.08 MonthOfYear 3 EQU +1 time.n.08 DayOfMonth 19 EQU +1 time.n.08 YearOfCentury 2012 | Their daughter, their son, Thomas Colton Padalecki, was born on March 19, 2012. | Their son, Matthew, Thomas Colton Padalecki, was born on March 19, 2012. | Their son, Thomas Colton Padalecki, was born on March 19, March 20, 2012. | Their daughter, I mean, their son, Thomas Colton Padalecki, was born on March 19, 2012. | Their son, Matthew, I mean, Thomas Colton Padalecki, was born on March 19, 2012. | Their son, Thomas Colton Padalecki, was born on March 19, March 20, I mean, 2012. |
p49/d2677 | My neighbor is planting new grass in his yard. | person.n.01 EQU speaker person.n.01 Role +1 neighbor.n.01 Of -2 time.n.08 EQU now plant.v.01 Agent -3 Time -1 Theme +2 Destination +4 new.a.01 AttributeOf +1 grass.n.01 male.n.02 ANA -6 yard.n.02 User -1 | My mum, my neighbor is planting new grass in his yard. | My neighbor is planting flowers, new grass in his yard. | My neighbor is planting new flowers, grass in his yard. | My mum, I mean, my neighbor is planting new grass in his yard. | My neighbor is planting flowers, I mean, new grass in his yard. | My neighbor is planting new flowers, I mean, grass in his yard. |
p37/d1007 | He came to Leipzig in 1981 from the small town of Aschersleben. | male.n.02 come.v.02 Theme -1 Time +1 Destination +2 Time +3 Source +5 time.n.08 TPR now city.n.01 Name "Leipzig" time.n.08 YearOfCentury 1981 small.a.01 Value + town.n.01 Attribute -1 EQU +1 town.n.01 Name "Aschersleben" | She, he came to Leipzig in 1981 from the small town of Aschersleben. | He came to Berlin, Leipzig in 1981 from the small town of Aschersleben. | He came to Leipzig in 1981 from the small town of Aschersleben, Wolfsleben. | She, I mean, he came to Leipzig in 1981 from the small town of Aschersleben. | He came to Berlin, I mean, Leipzig in 1981 from the small town of Aschersleben. | He came to Leipzig in 1981 from the small town of Aschersleben, I mean, Wolfsleben. |
p27/d1965 | I like this song; it's got a strong beat and you can dance to it. | person.n.01 EQU speaker like.v.02 Experiencer -1 Time +1 Stimulus +2 time.n.08 EQU now song.n.01 CONTINUATION <1 entity.n.01 ANA -1 have_got.v.01 Theme -1 Time +1 Pivot +3 time.n.08 EQU now strong.a.01 AttributeOf +1 beat.n.03 CONTINUATION <1 person.n.01 POSSIBILITY <1 dance.v.02 Agent -1 Theme +1 entity.n.01 ANA -8 | I hate, like this song; it's got a strong beat and you can dance to it. | I like this movie, this song; it's got a strong beat and you can dance to it. | I like this song; it's got a strong beat and you can sing to it, dance to it. | I hate, I mean, like this song; it's got a strong beat and you can dance to it. | I like this movie, I mean, this song; it's got a strong beat and you can dance to it. | I like this song; it's got a strong beat and you can sing to it, I mean, dance to it. |
p39/d2847 | Tom wasn't wearing a wedding ring, but Mary noticed a white circle on his ring finger. | male.n.02 Name "Tom" NEGATION <1 time.n.08 TPR now wear.v.02 Agent -2 Time -1 Theme +1 wedding_ring.n.01 CONTRAST <1 female.n.02 Name "Mary" notice.v.01 Experiencer -1 Time +1 Stimulus +3 time.n.08 TPR now white.a.01 circle.n.03 Colour -1 Location +2 male.n.02 ANA -9 ring_finger.n.01 PartOf -1 | Jerry, Tom wasn't wearing a wedding ring, but Mary noticed a white circle on his ring finger. | Tom wasn't wearing a bracelet, a wedding ring, but Mary noticed a white circle on his ring finger. | Tom wasn't wearing a wedding ring, but Mary noticed a white circle on his thumb, ring finger. | Jerry, I mean, Tom wasn't wearing a wedding ring, but Mary noticed a white circle on his ring finger. | Tom wasn't wearing a bracelet, I mean, a wedding ring, but Mary noticed a white circle on his ring finger. | Tom wasn't wearing a wedding ring, but Mary noticed a white circle on his thumb, I mean, ring finger. |
p01/d0835 | His older brother is two years older than I. | male.n.02 old.a.01 Degree +1 more.r.01 person.n.01 Attribute -2 Role +1 brother.n.01 Of -4 time.n.08 EQU now quantity.n.01 EQU 2 year.n.01 Quantity -1 old.a.01 AttributeOf -5 Time -3 Degree +1 more.r.01 Theme -6 Value -2 Co-Theme +1 person.n.01 EQU speaker | His younger brother, his older brother is two years older than I. | His older brother is two years younger, older than I. | His older brother is two years older than me, I. | His younger brother, I mean, his older brother is two years older than I. | His older brother is two years younger, I mean, older than I. | His older brother is two years older than me, I mean, I. |
p20/d0026 | A soccer ball is rolling into a goal net | soccer_ball.n.01 time.n.08 EQU now roll.v.01 Theme -2 Time -1 Destination +1 location.n.01 STI +1 goal.n.03 net.n.04 EQU -1 | A basketball, a soccer ball is rolling into a goal net. | A soccer ball is flying, rolling into a goal net | A soccer ball is rolling into a soccer net, a goal net. | A basketball, I mean, a soccer ball is rolling into a goal net. | A soccer ball is flying, I mean, rolling into a goal net | A soccer ball is rolling into a soccer net, I mean, a goal net. |
p64/d3510 | It's the story of a boy, a girl, and a cat. | entity.n.01 be.v.02 Theme -1 Time +1 Co-Theme +2 time.n.08 EQU now story.n.02 Topic +3 boy.n.01 girl.n.01 entity.n.01 Sub -2 Sub -1 Sub +1 cat.n.01 | It's the news, the story of a boy, a girl, and a cat. | It's the story of a boy, a dog, a girl, and a cat. | It's the story of a boy, a girl, and a dog, a cat. | It's the news, I mean, the story of a boy, a girl, and a cat. | It's the story of a boy, a dog, I mean, a girl, and a cat. | It's the story of a boy, a girl, and a dog, I mean, a cat. |
p42/d1416 | She is convinced that her son is still alive. | female.n.02 time.n.08 EQU now convinced.a.02 Time -1 Proposition >1 Experiencer -2 CONTINUATION <0 female.n.02 ANA -3 person.n.01 Role +1 son.n.01 Of -2 time.n.08 EQU now alive.a.01 AttributeOf -3 Time -1 | He, she is convinced that her son is still alive. | She is convinced that her daughter, her son is still alive. | She is convinced that her son is still dead, alive. | He, I mean, she is convinced that her son is still alive. | She is convinced that her daughter, I mean, her son is still alive. | She is convinced that her son is still dead, I mean, alive. |
p22/d3154 | The back seat of the car will hold three passengers. | backseat.n.02 PartOf +1 car.n.01 time.n.08 TSU now hold.v.12 Location -3 Time -1 Time +1 Value +3 time.n.08 EQU now quantity.n.01 EQU 3 person.n.01 Quantity -1 Role +1 passenger.n.01 | The front seat, the back seat of the car will hold three passengers. | The back seat of the van, the car will hold three passengers. | The back seat of the car will hold two passengers, three passengers. | The front seat, I mean, the back seat of the car will hold three passengers. | The back seat of the van, I mean, the car will hold three passengers. | The back seat of the car will hold two passengers, I mean, three passengers. |
p82/d3379 | He wrote a book about the American Civil War. | male.n.02 write.v.01 Agent -1 Time +1 Result +2 time.n.08 TPR now book.n.01 Topic +1 war.n.01 Name "American Civil War" | He reported, wrote a book about the American Civil War. | He wrote a play, a book about the American Civil War. | He wrote a book about the American Revolution, the American Civil War. | He reported, I mean, wrote a book about the American Civil War. | He wrote a play, I mean, a book about the American Civil War. | He wrote a book about the American Revolution, I mean, the American Civil War. |
p28/d2813 | He was living in England when the war broke out. | male.n.02 time.n.08 TPR now live.v.01 Theme -2 Time -1 Location +1 country.n.02 Name "England" war.n.01 break_out.v.01 TIN -3 Theme -1 Time +1 time.n.08 TPR now | She, he was living in England when the war broke out. | He was living in France, England when the war broke out. | He was living in France, England when the war broke out. | She, I mean, he was living in England when the war broke out. | He was living in France, I mean, England when the war broke out. | He was living in France, I mean, England when the war broke out. |
p25/d3505 | It took me ten days to get over my cold. | time.n.08 TPR now person.n.01 EQU speaker quantity.n.01 EQU 10 day.n.01 Quantity -1 get_over.v.03 Time -4 Agent -3 Duration -1 Theme +2 person.n.01 EQU speaker cold.n.01 User -1 | It spent, took me ten days to get over my cold. | It took me five, ten days to get over my cold. | It took me ten days to get over my cough, my cold. | It spent, I mean, took me ten days to get over my cold. | It took me five, I mean, ten days to get over my cold. | It took me ten days to get over my cough, I mean, my cold. |
p65/d3136 | He has two cats: one white and one black. | male.n.02 have.v.01 Pivot -1 Time +1 Theme +3 time.n.08 EQU now quantity.n.01 EQU 2 cat.n.01 Quantity -1 EQU +4 quantity.n.01 EQU 1 white.a.01 entity.n.01 Quantity -2 Colour -1 entity.n.01 Sub -1 Sub +3 quantity.n.01 EQU 1 black.a.01 entity.n.01 Quantity -2 Colour -1 | She, he has two cats: one white and one black. | He has two dogs, cats: one white and one black. | He has two cats: one white and one gray, black. | She, I mean, he has two cats: one white and one black. | He has two dogs, I mean, cats: one white and one black. | He has two cats: one white and one gray, I mean, black. |
p34/d3238 | Tom used to be a long distance truck driver. | male.n.02 Name "Tom" time.n.08 TPR now be.v.08 Theme -2 Time -1 Co-Theme +3 long.a.01 Value + distance.n.01 person.n.01 Goal -2 Role +1 truck_driver.n.01 Theme -2 | Jerry, Tom used to be a long distance truck driver. | Tom used to be a short haul, long distance truck driver. | Tom used to be a long distance bus driver, a truck driver. | Jerry, I mean, Tom used to be a long distance truck driver. | Tom used to be a short haul, I mean, long distance truck driver. | Tom used to be a long distance bus driver, I mean, a truck driver. |
p90/d0181 | We all caught flu, and so did the teacher. | person.n.01 Sub speaker NEGATION <1 entity.n.01 SubOf -1 NEGATION <1 catch.v.19 Recipient -1 Time +1 Theme +2 time.n.08 TPR now flu.n.01 CONTINUATION <2 catch.v.19 Time +1 Recipient +2 Theme +3 time.n.08 TPR now person.n.01 Role +1 teacher.n.01 flu.n.01 | we all spread, caught flu, and so did the teacher. | We all caught pneumonia, flu, and so did the teacher. | We all caught flu, and so did the cold, the teacher. | we all spread, I mean, caught flu, and so did the teacher. | We all caught pneumonia, I mean, flu, and so did the teacher. | We all caught flu, and so did the cold, I mean, the teacher. |
p50/d1584 | This stone was so heavy that I could not lift it. | stone.n.01 time.n.08 TPR now heavy.a.01 Time -1 Value + AttributeOf -2 RESULT <1 person.n.01 EQU speaker NEGATION <1 POSSIBILITY <1 lift.v.01 Agent -1 Theme +1 entity.n.01 ANA -5 | That rock, this stone was so heavy that I could not lift it. | This stone was so light, heavy that I could not lift it. | This stone was so heavy that I could not lift it, her. | That rock, I mean, this stone was so heavy that I could not lift it. | This stone was so light, I mean, heavy that I could not lift it. | This stone was so heavy that I could not lift it, I mean, her. |
p01/d1058 | Both Cristina and Luis always dreamt of studying medicine. | entity.n.01 Quantity 2 EQU +2 female.n.02 Name "Cristina" entity.n.01 Sub -1 Sub +1 male.n.02 Name "Luis" NEGATION <1 time.n.08 TPR now NEGATION <1 dream.v.01 Experiencer -3 Time -1 Stimulus +2 entity.n.01 EQU -4 study.v.04 Agent -1 Theme +1 medicine.n.03 | Either, both Cristina and Luis always dreamt of studying medicine. | Both Cristina and Luis occasionally, always dreamt of studying medicine. | Both Cristina and Luis always dreamt of studying engineering, medicine. | Either, I mean, both Cristina and Luis always dreamt of studying medicine. | Both Cristina and Luis occasionally, I mean, always dreamt of studying medicine. | Both Cristina and Luis always dreamt of studying engineering, I mean, medicine. |
p95/d1491 | Italy has two mountain ranges, the Alps and the Apennines. | country.n.02 Name "Italy" have.v.02 Pivot -1 Time +1 Theme +3 time.n.08 EQU now quantity.n.01 EQU 2 mountain_range.n.01 Quantity -1 EQU +2 range.n.04 Name "Alps" entity.n.01 Sub -1 Sub +1 range.n.04 Name "Apennines" | France, Italy has two mountain ranges, the Alps and the Apennines. | Italy has two mountain ranges, the Carpathians, the Alps and the Apennines. | Italy has two mountain ranges, the Andes, the Alps and the Apennines. | France, I mean, Italy has two mountain ranges, the Alps and the Apennines. | Italy has two mountain ranges, the Carpathians, I mean, the Alps and the Apennines. | Italy has two mountain ranges, the Andes, I mean, the Alps and the Apennines. |
p30/d2762 | Tom started to walk away, but Mary stopped him. | male.n.02 Name "Tom" start.v.01 Time +1 PartOf +2 time.n.08 TPR now walk_away.v.01 Theme -3 CONTRAST <1 female.n.02 Name "Mary" stop.v.05 Agent -1 Time +1 Theme +2 time.n.08 TPR now male.n.02 ANA -7 | John, Tom started to walk away, but Mary stopped him. | Tom started to run, walk away, but Mary stopped him. | Tom started to run away, walk away, but Mary stopped him. | John, I mean, Tom started to walk away, but Mary stopped him. | Tom started to run, I mean, walk away, but Mary stopped him. | Tom started to run away, I mean, walk away, but Mary stopped him. |
p52/d1386 | What did the Apollo astronauts wave on the moon in 1969? | entity.n.01 EQU ? time.n.08 TPR now vehicle.n.01 Name "Apollo" person.n.01 User -1 Role +1 astronaut.n.01 wave.v.02 Time -4 Theme -5 Agent -2 Time +1 Location +2 Time +3 time.n.08 TPR now moon.n.01 time.n.08 YearOfCentury 1969 | How, what did the Apollo astronauts wave on the moon in 1969? | What did the Gemini, Apollo astronauts wave on the moon in 1969? | What did the Apollo astronauts wave on the moon in 1970, 1969? | How, I mean, what did the Apollo astronauts wave on the moon in 1969? | What did the Gemini, I mean, Apollo astronauts wave on the moon in 1969? | What did the Apollo astronauts wave on the moon in 1970, I mean, 1969? |
p85/d2721 | The man glanced at the news program and was shocked. | man.n.01 glance.v.01 Agent -1 Time +1 Theme +2 time.n.08 TPR now news_program.n.01 time.n.08 TPR now shocked.a.01 AttributeOf -5 Time -1 | The woman, the man glanced at the news program and was shocked. | The man glanced at the weather forecast, the news program and was shocked. | The man glanced at the news program and was relieved, shocked. | The woman, I mean, the man glanced at the news program and was shocked. | The man glanced at the weather forecast, I mean, the news program and was shocked. | The man glanced at the news program and was relieved, I mean, shocked. |
p07/d0766 | Some people in the village of Joba received loans from Yunus. | person.n.01 Location +1 village.n.02 EQU +1 village.n.02 Name "Joba" receive.v.01 Agent -3 Time +1 Theme +2 Source +3 time.n.08 TPR now loan.n.01 male.n.02 Name "Yunus" | A perosn, some people in the village of Joba received loans from Yunus. | Some people in the town, the village of Joba received loans from Yunus. | Some people in the village of Joba received loans from Khan, Yunus. | A perosn, I mean, some people in the village of Joba received loans from Yunus. | Some people in the town, I mean, the village of Joba received loans from Yunus. | Some people in the village of Joba received loans from Khan, I mean, Yunus. |
p81/d2484 | Tom has been to Boston a number of times. | male.n.02 Name "Tom" be.v.03 Theme -1 Time +1 Location +2 Frequency +3 time.n.08 TPR now city.n.01 Name "Boston" entity.n.01 Quantity + EQU +1 time.n.01 | Michael, Tom has been to Boston a number of times. | Tom has been to Chicago, Boston a number of times. | Tom has been to Boston a number of times, a number of times. | Michael, I mean, Tom has been to Boston a number of times. | Tom has been to Chicago, I mean, Boston a number of times. | Tom has been to Boston a number of times, I mean, a number of times. |
p67/d1730 | This class consists of 15 boys and 28 girls. | class.n.02 consist.v.04 Theme -1 Time +1 Attribute +4 time.n.08 EQU now quantity.n.01 EQU 15 boy.n.01 Quantity -1 entity.n.01 Sub -1 Sub +2 quantity.n.01 EQU 28 girl.n.02 Quantity -1 | This school, this class consists of 15 boys and 28 girls. | This class consists of 15 girls, 28 girls. | This class consists of 15 boys and 27 girls, 28 girls. | This school, I mean, this class consists of 15 boys and 28 girls. | This class consists of 15 girls, I mean, 28 girls. | This class consists of 15 boys and 27 girls, I mean, 28 girls. |
p18/d1796 | The Japan Sea separates Japan from the Asian Continent. | sea.n.01 Name "Japan Sea" separate.v.01 Causer -1 Time +1 Patient +2 Co-Patient +4 time.n.08 EQU now country.n.02 Name "Japan" continent.n.01 Name "asia" continent.n.01 EQU -1 | The East China Sea, the Japan Sea separates Japan from the Asian Continent. | The Japan Sea unites, separates Japan from the Asian Continent. | The Japan Sea separates Japan from the Atlantic Ocean, the Asian Continent. | The East China Sea, I mean, the Japan Sea separates Japan from the Asian Continent. | The Japan Sea unites, I mean, separates Japan from the Asian Continent. | The Japan Sea separates Japan from the Atlantic Ocean, I mean, the Asian Continent. |
p00/d1686 | That story is a famous one that everyone knows. | story.n.02 be.v.01 Theme -1 Time +1 Co-Theme +3 time.n.08 EQU now famous.a.01 AttributeOf +1 story.n.02 NEGATION <1 person.n.01 NEGATION <1 know.v.01 Stimulus -2 Experiencer -1 Time +1 time.n.08 EQU now | That report, that story is a famous one that everyone knows. | That story is a niche, a famous one that everyone knows. | That story is a famous one that everyone forgets, knows. | That report, I mean, that story is a famous one that everyone knows. | That story is a niche, I mean, a famous one that everyone knows. | That story is a famous one that everyone forgets, I mean, knows. |
p65/d1574 | Tom told me that he had been skydiving since he was sixteen. | male.n.02 Name "Tom" tell.v.01 Proposition >1 Agent -1 Time +1 Recipient +2 time.n.08 TPR now person.n.01 EQU speaker CONTINUATION <0 male.n.02 ANA -4 time.n.08 TPR now skydive.v.01 Theme -2 Time -1 Start +1 entity.n.01 male.n.02 ANA -8 time.n.08 TPR now old.a.01 Participant -3 AttributeOf -2 Time -1 Value +1 measure.n... | Adam, Tom told me that he had been skydiving since he was sixteen. | Tom told me that he had been rock climbing, skydiving since he was sixteen. | Tom told me that he had been skydiving since he was seventeen, sixteen. | Adam, I mean, Tom told me that he had been skydiving since he was sixteen. | Tom told me that he had been rock climbing, I mean, skydiving since he was sixteen. | Tom told me that he had been skydiving since he was seventeen, I mean, sixteen. |
p82/d1623 | This is a cargo ship, not a passenger ship. | entity.n.01 be.v.01 Theme -1 Time +1 Co-Theme +2 time.n.08 EQU now cargo_ship.n.01 NEGATION <1 be.v.01 Theme -4 Time +1 Co-Theme +2 time.n.08 EQU now passenger_ship.n.01 | That, this is a cargo ship, not a passenger ship. | This is a freighter, a cargo ship, not a passenger ship. | This is a cargo ship, not a freight ship, a passenger ship. | That, I mean, this is a cargo ship, not a passenger ship. | This is a freighter, I mean, a cargo ship, not a passenger ship. | This is a cargo ship, not a freight ship, I mean, a passenger ship. |
p06/d2022 | He was living in London when the war broke out. | male.n.02 time.n.08 TPR now live.v.01 Theme -2 Time -1 Location +1 city.n.01 Name "London" war.n.01 break_out.v.01 TIN -3 Theme -1 Time +1 time.n.08 TPR now | She, he was living in London when the war broke out. | He was living in Paris, London when the war broke out. | He was living in Paris, London when the war broke out. | She, I mean, he was living in London when the war broke out. | He was living in Paris, I mean, London when the war broke out. | He was living in Paris, I mean, London when the war broke out. |
p27/d0835 | His office is located in the center of the town. | male.n.02 office.n.01 User -1 time.n.08 EQU now located.a.01 Theme -2 Time -1 Location +1 center.n.01 PartOf +1 town.n.01 | Her office, his office is located in the center of the town. | His office is located in the park, the center of the town. | His office is located in the center of the city, the town. | Her office, I mean, his office is located in the center of the town. | His office is located in the park, I mean, the center of the town. | His office is located in the center of the city, I mean, the town. |
p06/d2322 | The old man freed the little fox from the trap. | old.a.01 Value + man.n.01 Attribute -1 free.v.01 Agent -1 Time +1 Theme +3 Source +4 time.n.08 TPR now little.a.01 Value + fox.n.01 Attribute -1 trap.n.01 | The young man, the old man freed the little fox from the trap. | The old man caught, freed the little fox from the trap. | The old man freed the little fox from the cage, the trap. | The young man, I mean, the old man freed the little fox from the trap. | The old man caught, I mean, freed the little fox from the trap. | The old man freed the little fox from the cage, I mean, the trap. |
p11/d2089 | The boys set up a hockey rink on the frozen pond. | boy.n.01 set_up.v.03 Agent -1 Time +1 Result +2 time.n.08 TPR now ice-hockey_rink.n.01 Location +2 frozen.a.01 AttributeOf +1 pond.n.01 | The girls, the boys set up a hockey rink on the frozen pond. | The boys set up a soccer field, a hockey rink on the frozen pond. | The boys set up a soccer field, a hockey rink on the frozen pond. | The girls, I mean, the boys set up a hockey rink on the frozen pond. | The boys set up a soccer field, I mean, a hockey rink on the frozen pond. | The boys set up a soccer field, I mean, a hockey rink on the frozen pond. |
p43/d1418 | Tom is planting a palm tree in his backyard. | male.n.02 Name "Tom" time.n.08 EQU now plant.v.01 Agent -2 Time -1 Theme +1 Destination +3 palm_tree.n.01 male.n.02 ANA -4 backyard.n.01 User -1 | Harry, Tom is planting a palm tree in his backyard. | Tom is planting a cactus, a palm tree in his backyard. | Tom is planting a palm tree in his front yard, his backyard. | Harry, I mean, Tom is planting a palm tree in his backyard. | Tom is planting a cactus, I mean, a palm tree in his backyard. | Tom is planting a palm tree in his front yard, I mean, his backyard. |
p72/d2478 | Tom is too busy now to talk to you. | male.n.02 Name "Tom" time.n.08 EQU now busy.a.01 AttributeOf -2 Time -1 Time +1 time.n.08 EQU now NEGATION <1 POSSIBILITY <1 talk.v.01 Agent -4 Co-Agent +1 person.n.01 EQU hearer | Jerry, Tom is too busy now to talk to you. | Tom is too tired, busy now to talk to you. | Tom is too busy now to talk to you, me. | Jerry, I mean, Tom is too busy now to talk to you. | Tom is too tired, I mean, busy now to talk to you. | Tom is too busy now to talk to you, I mean, me. |
p37/d2710 | The diamond was discovered by a boy in 1873. | diamond.n.01 time.n.08 TPR now discover.v.01 Theme -2 Time -1 Agent +1 Time +2 boy.n.01 time.n.08 YearOfCentury 1873 | The gemstone, the diamond was discovered by a boy in 1873. | The diamond was discovered by a girl, a boy in 1873. | The diamond was discovered by a boy in 1872, 1873. | The gemstone, I mean, the diamond was discovered by a boy in 1873. | The diamond was discovered by a girl, I mean, a boy in 1873. | The diamond was discovered by a boy in 1872, I mean, 1873. |
p31/d3309 | Tom threw a rock at Mary, but it didn't hit her. | male.n.02 Name "Tom" throw.v.01 Agent -1 Time +1 Theme +2 Destination +3 time.n.08 TPR now rock.n.01 female.n.02 Name "Mary" CONTRAST <1 entity.n.01 ANA -2 NEGATION <1 time.n.08 TPR now hit.v.02 Theme -2 Time -1 Destination +1 female.n.02 ANA -4 | Jerry, Tom threw a rock at Mary, but it didn't hit her. | Tom threw a book, a rock at Mary, but it didn't hit her. | Tom threw a rock at Mary, but it didn't hit him, her. | Jerry, I mean, Tom threw a rock at Mary, but it didn't hit her. | Tom threw a book, I mean, a rock at Mary, but it didn't hit her. | Tom threw a rock at Mary, but it didn't hit him, I mean, her. |
End of preview. Expand in Data Studio
Self-Repair SBN Parsing Pilot Data
A small, static pilot set for studying how a semantic parser (NL → SBN) behaves when the input natural language carries self-repair disfluencies. Each row is one gold sentence from the Parallel Meaning Bank (PMB) together with synthetically generated repair variants. The dataset holds inputs only — parser predictions are stored elsewhere so this set stays fixed across modelling stages.
- Source: PMB 5.1.0 (gold), English single-sentence items.
- Size: 836 rows.
- Task: sequence-to-sequence semantic parsing (NL → SBN), with disfluent inputs.
Experimental design
Each source sentence yields 7 parser-input conditions:
| condition | column | description |
|---|---|---|
| gold (reference) | nl |
original fluent sentence |
| head repair | repair_head_nl |
reparandum+repair at the sentence start |
| mid repair | repair_mid_nl |
reparandum+repair mid-sentence |
| tail repair | repair_tail_nl |
reparandum+repair near the end |
| head + interregnum | repair_head_interrug_nl |
head repair with editing phrase inserted |
| mid + interregnum | repair_mid_interrug_nl |
mid repair with editing phrase inserted |
| tail + interregnum | repair_tail_interrug_nl |
tail repair with editing phrase inserted |
mr is the gold SBN for nl, used as the reference meaning representation for
all comparisons. The dataset deliberately contains no parser-output columns: at
parse time, melt the wide table to long (id, condition, nl_input), run the parser,
and store predictions separately keyed by (id, condition).
Fields
| field | type | content |
|---|---|---|
id |
string | PMB item id, e.g. p17/d0758 |
nl |
string | gold natural language (fluent) |
mr |
string | gold SBN (reference meaning representation) |
repair_head_nl / repair_mid_nl / repair_tail_nl |
string | disfluent input, repair at head/mid/tail |
repair_head_interrug_nl / repair_mid_interrug_nl / repair_tail_interrug_nl |
string | same, with an interregnum editing phrase |
How it was built
- Gold items drawn from PMB 5.1.0, restricted to coherent single-sentence examples (29 multi-sentence / direct-speech items were removed so that position-based repair insertion is methodologically stable).
- Repair variants generated on HPC via prompt engineering with Qwen3-27B. The head and mid variants were manually checked; the tail variant was not.
- Interregnum variants inserted by rule on top of each repair, placing the editing phrase between reparandum and repair.
Known limitations
This is a pilot set. Please read these before using it for evaluation:
- Single editing phrase. The interregnum is always
"I mean,". No lexical or prosodic variation is modelled. - Tail repairs are not manually validated. Only head and mid repair variants were human-checked; tail repairs come straight from the model.
- Three items lack a head repair. For
p90/d2399,p67/d2005,p16/d1602the model did not produce a head-repair variant, sorepair_head_nlequalsnland the head condition is degenerate for those rows. - A few interregnum insertions are skipped. Where a repair has no comma-marked
reparandum boundary, the rule-based inserter declines rather than mis-place the
phrase (~2 head, 1 mid rows); for those, the
*_interrug_nlvalue equals the plain repair. (An earlier version silently collapsed ~23% of head rows this way; the current build reduces it to <1%.)
Loading
from datasets import load_dataset
ds = load_dataset("Shrikes/self_repair_parsing_pilot_data") # split: "train"
License
Derived from the Parallel Meaning Bank; released under CC BY-NC-SA 4.0 to match. Underlying sentences originate from Tatoeba. Non-commercial research use.
- Downloads last month
- 51