hypothesis
listlengths
5
5
transcription
stringlengths
2
920
input1
stringlengths
3
1.18k
hypothesis_concatenated
stringlengths
15
5.37k
source
stringclasses
8 values
id
stringclasses
0 values
dummy_str
stringclasses
1 value
dummy_list
listlengths
0
0
prompt
stringlengths
138
6.25k
[ "the reform party still led by codes continued in opposition", "the reform party still led by codes continued in opposition", "the reform party still led by coats continued in opposition", "the reform party still led by codes continued in opposition", "the reform party still led by codes continued in opposition" ]
the reform party still led by coates continued in opposition
the reform party still led by codes continued in opposition.
the reform party still led by codes continued in opposition. the reform party still led by coats continued in opposition. the reform party still led by codes continued in opposition. the reform party still led by codes continued in opposition.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the reform party still led by codes continued in opposition', 'the reform party still led by codes continued in opposition', 'the reform party still led by coats continued in opposition', 'the reform party still led by codes continued in opposition', 'the reform party still led by codes continued in opposition']
[ "both saint loider and may department store company had championed the cars", "both saint loider and may department store company had championed the cause", "boat saint loider and may department store company had championed the cars", "both saint loiter and may department store company had championed the cars", "boat saint loider made department store company had championed the cars" ]
both estee lauder and may department store company had championed the cause
both saint loider and may department store company had championed the cars.
both saint loider and may department store company had championed the cause. boat saint loider and may department store company had championed the cars. both saint loiter and may department store company had championed the cars. boat saint loider made department store company had championed the cars.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['both saint loider and may department store company had championed the cars', 'both saint loider and may department store company had championed the cause', 'boat saint loider and may department store company had championed the cars', 'both saint loiter and may department store company had championed the cars', 'boat saint loider made department store company had championed the cars']
[ "the price recognizes and encourages outstanding assessments in physics", "the price recognizes and encourages outstanding assessments in physics", "surprise recognizes and encourages outstanding assessments in physics", "surprise recokenages and encourages outstanding assessments in physics", "the price recognizes and encourages outstanding assessments in physics" ]
the prize recognizes and encourages outstanding achievements in physics
the price recognizes and encourages outstanding assessments in physics.
the price recognizes and encourages outstanding assessments in physics. surprise recognizes and encourages outstanding assessments in physics. surprise recokenages and encourages outstanding assessments in physics. the price recognizes and encourages outstanding assessments in physics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the price recognizes and encourages outstanding assessments in physics', 'the price recognizes and encourages outstanding assessments in physics', 'surprise recognizes and encourages outstanding assessments in physics', 'surprise recokenages and encourages outstanding assessments in physics', 'the price recognizes and encourages outstanding assessments in physics']
[ "route later received the vice presidential nomination", "route later received the vice presidential nomination", "route later received the vice presidential nomination", "root later received the vice presidential nomination", "route later received the vice presidential nomination" ]
root later received the vice presidential nomination
route later received the vice presidential nomination.
route later received the vice presidential nomination. route later received the vice presidential nomination. root later received the vice presidential nomination. route later received the vice presidential nomination.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['route later received the vice presidential nomination', 'route later received the vice presidential nomination', 'route later received the vice presidential nomination', 'root later received the vice presidential nomination', 'route later received the vice presidential nomination']
[ "captain glanner hartwig the squadron commander in putnam quickly closed with twigs", "captain glanner hartwig the squadron commander in putnam quickly closed with twigs", "captain glanner heartwig the squadron commander in putnam quickly closed with twigs", "captain glanner heartwig the squadron commander in putnam quickly closed with twigs", "captain glenn or hartwig the squadron commander in putnam quickly closed with twigs" ]
captain glenn r hartwig the squadron commander in putnam quickly closed with twiggs
captain glanner hartwig the squadron commander in putnam quickly closed with twigs.
captain glanner hartwig the squadron commander in putnam quickly closed with twigs. captain glanner heartwig the squadron commander in putnam quickly closed with twigs. captain glanner heartwig the squadron commander in putnam quickly closed with twigs. captain glenn or hartwig the squadron commander in putnam quickly closed with twigs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['captain glanner hartwig the squadron commander in putnam quickly closed with twigs', 'captain glanner hartwig the squadron commander in putnam quickly closed with twigs', 'captain glanner heartwig the squadron commander in putnam quickly closed with twigs', 'captain glanner heartwig the squadron commander in putnam quickly closed with twigs', 'captain glenn or hartwig the squadron commander in putnam quickly closed with twigs']
[ "he later played more years with the ranges", "he later played more years with the rangers", "he later played more years with the rangers", "he later played more years with the ranges", "he later played more years with the ranges" ]
he later played more years with the rangers
he later played more years with the ranges.
he later played more years with the rangers. he later played more years with the rangers. he later played more years with the ranges. he later played more years with the ranges.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he later played more years with the ranges', 'he later played more years with the rangers', 'he later played more years with the rangers', 'he later played more years with the ranges', 'he later played more years with the ranges']
[ "as in the films harry callahan walks the line between bad cop and psychopath", "as in the film harry callahan walks the line between bad cop and psychopath", "as in the films harry callahan walks the line between bad cop and psychopath", "as in the films harry kellerhand walks the line between bad cop and psychopath", "as in the films harry callahan walks the line between bad cop and psychopath" ]
as in the films harry callahan walks the line between bad cop and psychopath
as in the films harry callahan walks the line between bad cop and psychopath.
as in the film harry callahan walks the line between bad cop and psychopath. as in the films harry callahan walks the line between bad cop and psychopath. as in the films harry kellerhand walks the line between bad cop and psychopath. as in the films harry callahan walks the line between bad cop and psychopath.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as in the films harry callahan walks the line between bad cop and psychopath', 'as in the film harry callahan walks the line between bad cop and psychopath', 'as in the films harry callahan walks the line between bad cop and psychopath', 'as in the films harry kellerhand walks the line between bad cop and psychopath', 'as in the films harry callahan walks the line between bad cop and psychopath']
[ "the stories sometimes turn macabre but are presented in light hearted fashion", "the stories sometimes turn macabre but are presented in light hearted fashion", "the stories sometimes turn macabre but are presented in light hearted fashion", "the stories sometimes turn macabre but are presented in light hearted fashion", "the story sometimes turned macabre but are presented in light hearted fashion" ]
the stories sometimes turn macabre but are presented in a lighthearted fashion
the stories sometimes turn macabre but are presented in light hearted fashion.
the stories sometimes turn macabre but are presented in light hearted fashion. the stories sometimes turn macabre but are presented in light hearted fashion. the stories sometimes turn macabre but are presented in light hearted fashion. the story sometimes turned macabre but are presented in light hearted fashion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the stories sometimes turn macabre but are presented in light hearted fashion', 'the stories sometimes turn macabre but are presented in light hearted fashion', 'the stories sometimes turn macabre but are presented in light hearted fashion', 'the stories sometimes turn macabre but are presented in light hearted fashion', 'the story sometimes turned macabre but are presented in light hearted fashion']
[ "the ram also worked on the toys and invariants of smooth manifolds", "the ram also worked on the toys and invariance of smooth manifolds", "the ram also worked on the chosen invariance of smooth manifolds", "the ram also worked on the toys and invariant of smooth manifolds", "the ram also worked on the chosen invariant of smooth manifolds" ]
de rham also worked on the torsion invariants of smooth manifolds
the ram also worked on the toys and invariants of smooth manifolds.
the ram also worked on the toys and invariance of smooth manifolds. the ram also worked on the chosen invariance of smooth manifolds. the ram also worked on the toys and invariant of smooth manifolds. the ram also worked on the chosen invariant of smooth manifolds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ram also worked on the toys and invariants of smooth manifolds', 'the ram also worked on the toys and invariance of smooth manifolds', 'the ram also worked on the chosen invariance of smooth manifolds', 'the ram also worked on the toys and invariant of smooth manifolds', 'the ram also worked on the chosen invariant of smooth manifolds']
[ "joseph started playing at age six", "joseph started playing at age six", "joseph started playing at eight point six", "joseph started playing at age six", "joseph started playing at eight point six" ]
joseph started playing at age six
joseph started playing at age six.
joseph started playing at age six. joseph started playing at eight point six. joseph started playing at age six. joseph started playing at eight point six.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['joseph started playing at age six', 'joseph started playing at age six', 'joseph started playing at eight point six', 'joseph started playing at age six', 'joseph started playing at eight point six']
[ "o man christian red is at the marketplace", "o man christian red is a market place", "oh man christian red is at the marketplace", "o man christian red is the market place", "o man christian red is at the marketplace" ]
a man dressed in red is at the marketplace
o man christian red is at the marketplace.
o man christian red is a market place. oh man christian red is at the marketplace. o man christian red is the market place. o man christian red is at the marketplace.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['o man christian red is at the marketplace', 'o man christian red is a market place', 'oh man christian red is at the marketplace', 'o man christian red is the market place', 'o man christian red is at the marketplace']
[ "various compound constructions exist for denoting past habitual action", "various compound constructions exist for denoting past habitual action", "very compound constructions exist for denoting past habitual action", "constructions exist for denoting past habitual action", "various compound constructions exist for denoting past habitual action" ]
various compound constructions exist for denoting past habitual action
various compound constructions exist for denoting past habitual action.
various compound constructions exist for denoting past habitual action. very compound constructions exist for denoting past habitual action. constructions exist for denoting past habitual action. various compound constructions exist for denoting past habitual action.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['various compound constructions exist for denoting past habitual action', 'various compound constructions exist for denoting past habitual action', 'very compound constructions exist for denoting past habitual action', 'constructions exist for denoting past habitual action', 'various compound constructions exist for denoting past habitual action']
[ "this however was left to local governments to decide whether to grant this request", "this however was left to local governments to decide whether to grant this request", "this however was left to local governments to decide whether to grant this request", "this however was left to local governments to decide whether to grant this request", "this however was left to local governments to decide whether to grant this request" ]
this however was left to local governments to decide whether to grant this request
this however was left to local governments to decide whether to grant this request.
this however was left to local governments to decide whether to grant this request. this however was left to local governments to decide whether to grant this request. this however was left to local governments to decide whether to grant this request. this however was left to local governments to decide whether to grant this request.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this however was left to local governments to decide whether to grant this request', 'this however was left to local governments to decide whether to grant this request', 'this however was left to local governments to decide whether to grant this request', 'this however was left to local governments to decide whether to grant this request', 'this however was left to local governments to decide whether to grant this request']
[ "he moved to the main mormont settlement at kirkland ohio the following year", "he moved to the main mormon settlement at kirkland ohio the following year", "he moved to the main mormont settlement at curtlyn ohio the following year", "he moved to the main mormont settlement at kirkland ohio the following year", "he moved to the main mormont settlement at curtlyn ohio the following year" ]
he moved to the main mormon settlement at kirtland ohio the following year
he moved to the main mormont settlement at kirkland ohio the following year.
he moved to the main mormon settlement at kirkland ohio the following year. he moved to the main mormont settlement at curtlyn ohio the following year. he moved to the main mormont settlement at kirkland ohio the following year. he moved to the main mormont settlement at curtlyn ohio the following year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he moved to the main mormont settlement at kirkland ohio the following year', 'he moved to the main mormon settlement at kirkland ohio the following year', 'he moved to the main mormont settlement at curtlyn ohio the following year', 'he moved to the main mormont settlement at kirkland ohio the following year', 'he moved to the main mormont settlement at curtlyn ohio the following year']
[ "the projection booth served as the manager is office", "the projection booth is served as the manager is office", "the projection booth served as the manage is office", "the projection booth served as the manage is office", "the projection booth served as the manage is office" ]
the projection booth served as the manager is office
the projection booth served as the manager is office.
the projection booth is served as the manager is office. the projection booth served as the manage is office. the projection booth served as the manage is office. the projection booth served as the manage is office.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the projection booth served as the manager is office', 'the projection booth is served as the manager is office', 'the projection booth served as the manage is office', 'the projection booth served as the manage is office', 'the projection booth served as the manage is office']
[ "from there they moved to danta three hundred and eighty years ago", "from there they moved to danta three hundred and eighty years ago", "from there they moved to danta three hundred and eighty years ago", "from there they moved to dante three hundred and eighty years ago", "from there they moved to danta three hundred and eighty years ago" ]
from there they moved to danta three hundred and eighty years ago
from there they moved to danta three hundred and eighty years ago.
from there they moved to danta three hundred and eighty years ago. from there they moved to danta three hundred and eighty years ago. from there they moved to dante three hundred and eighty years ago. from there they moved to danta three hundred and eighty years ago.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['from there they moved to danta three hundred and eighty years ago', 'from there they moved to danta three hundred and eighty years ago', 'from there they moved to danta three hundred and eighty years ago', 'from there they moved to dante three hundred and eighty years ago', 'from there they moved to danta three hundred and eighty years ago']
[ "these have many features in common with well with sheer seedlings", "these have many features in common with well with shia seedlings", "these have many features in common with well with shea seedlings", "these have many features in common with well with sheer seedlings", "these have many features in common with well with shear seedlings" ]
these have many features in common with welwitschia seedlings
these have many features in common with well with sheer seedlings.
these have many features in common with well with shia seedlings. these have many features in common with well with shea seedlings. these have many features in common with well with sheer seedlings. these have many features in common with well with shear seedlings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these have many features in common with well with sheer seedlings', 'these have many features in common with well with shia seedlings', 'these have many features in common with well with shea seedlings', 'these have many features in common with well with sheer seedlings', 'these have many features in common with well with shear seedlings']
[ "some were also crafted by military blacksmiths", "some were also crafted by military blacksmiths", "some were also crafted by military blacksmiths", "some were also crafted by military blacksmiths", "some were also crafted by military blacksmiths" ]
some were also crafted by military blacksmiths
some were also crafted by military blacksmiths.
some were also crafted by military blacksmiths. some were also crafted by military blacksmiths. some were also crafted by military blacksmiths. some were also crafted by military blacksmiths.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some were also crafted by military blacksmiths', 'some were also crafted by military blacksmiths', 'some were also crafted by military blacksmiths', 'some were also crafted by military blacksmiths', 'some were also crafted by military blacksmiths']
[ "there are four universities in the area", "there are four universities in the area", "there are four universities in the area", "there are four universities in the area", "there are four universities in the area" ]
there are four universities in the area
there are four universities in the area.
there are four universities in the area. there are four universities in the area. there are four universities in the area. there are four universities in the area.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are four universities in the area', 'there are four universities in the area', 'there are four universities in the area', 'there are four universities in the area', 'there are four universities in the area']
[ "a specific instance was the debate over john adam is opera the death of klinghofer", "a specific instance was the debate over john adams opera the death of klinghofer", "a specific instance was the debate over john adams opera the death of klinghofer", "a specific instance was the debate over john adam is opera the death of klinghofer", "a specific instance was the debate over john adams opera the death of klinghofer" ]
a specific instance was the debate over john adams is opera the death of klinghoffer
a specific instance was the debate over john adam is opera the death of klinghofer.
a specific instance was the debate over john adams opera the death of klinghofer. a specific instance was the debate over john adams opera the death of klinghofer. a specific instance was the debate over john adam is opera the death of klinghofer. a specific instance was the debate over john adams opera the death of klinghofer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a specific instance was the debate over john adam is opera the death of klinghofer', 'a specific instance was the debate over john adams opera the death of klinghofer', 'a specific instance was the debate over john adams opera the death of klinghofer', 'a specific instance was the debate over john adam is opera the death of klinghofer', 'a specific instance was the debate over john adams opera the death of klinghofer']
[ "she had four boys in total", "she had four boys in total", "she had four boys in total", "she had four boys in total", "she had four boys in total" ]
she had four boys in total
she had four boys in total.
she had four boys in total. she had four boys in total. she had four boys in total. she had four boys in total.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she had four boys in total', 'she had four boys in total', 'she had four boys in total', 'she had four boys in total', 'she had four boys in total']
[ "however the attempt was unsuccessful", "however the attempt was unsuccessful", "however the attempt was unsuccessful", "however the attempt was unsuccessful", "however the attempt was unsuccessful" ]
however the attempt was unsuccessful
however the attempt was unsuccessful.
however the attempt was unsuccessful. however the attempt was unsuccessful. however the attempt was unsuccessful. however the attempt was unsuccessful.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however the attempt was unsuccessful', 'however the attempt was unsuccessful', 'however the attempt was unsuccessful', 'however the attempt was unsuccessful', 'however the attempt was unsuccessful']
[ "bala created at least a dozen versions and studies of this work", "while i created at least a dozen versions and studies of this work", "balor created at least a dozen versions and studies of this work", "but i created at least a dozen versions and studies of this work", "bala created at least dozen versions and studies of this work" ]
balla created at least a dozen versions and studies of this work
bala created at least a dozen versions and studies of this work.
while i created at least a dozen versions and studies of this work. balor created at least a dozen versions and studies of this work. but i created at least a dozen versions and studies of this work. bala created at least dozen versions and studies of this work.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['bala created at least a dozen versions and studies of this work', 'while i created at least a dozen versions and studies of this work', 'balor created at least a dozen versions and studies of this work', 'but i created at least a dozen versions and studies of this work', 'bala created at least dozen versions and studies of this work']
[ "how much was a pharmacist but all the members of the family were musical", "how much was a pharmacist but all the members of the family were musical", "how much was a pharmacist but all the members of the family were musical", "how much was a pharmacist but all the members of the family were musical", "how much was a pharmacist but all the members of the family were musical" ]
heinrich was a pharmacist but all the members of the family were musical
how much was a pharmacist but all the members of the family were musical.
how much was a pharmacist but all the members of the family were musical. how much was a pharmacist but all the members of the family were musical. how much was a pharmacist but all the members of the family were musical. how much was a pharmacist but all the members of the family were musical.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['how much was a pharmacist but all the members of the family were musical', 'how much was a pharmacist but all the members of the family were musical', 'how much was a pharmacist but all the members of the family were musical', 'how much was a pharmacist but all the members of the family were musical', 'how much was a pharmacist but all the members of the family were musical']
[ "medley hotch potch", "medley hotch potch", "medley hodgepodge", "medly hotch potch", "medley hoch poch" ]
medley hotch pot
medley hotch potch.
medley hotch potch. medley hodgepodge. medly hotch potch. medley hoch poch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['medley hotch potch', 'medley hotch potch', 'medley hodgepodge', 'medly hotch potch', 'medley hoch poch']
[ "after working as an insurance broker he was executive director of tennis australia", "after working as an insurance broker he was executive director of tennis australia", "after working as an insurance broker he was executive director of tennis australia", "after working as an insurance broker he was executive director of tennis australia", "after working as an insurance broker he was executive director of tennis australia" ]
after working as an insurance broker he was executive director of tennis australia
after working as an insurance broker he was executive director of tennis australia.
after working as an insurance broker he was executive director of tennis australia. after working as an insurance broker he was executive director of tennis australia. after working as an insurance broker he was executive director of tennis australia. after working as an insurance broker he was executive director of tennis australia.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after working as an insurance broker he was executive director of tennis australia', 'after working as an insurance broker he was executive director of tennis australia', 'after working as an insurance broker he was executive director of tennis australia', 'after working as an insurance broker he was executive director of tennis australia', 'after working as an insurance broker he was executive director of tennis australia']
[ "it is easily removed with prost eight remover", "it is easily removed with prost eight remover", "it is easily removed with pros eight remover", "it is easily removed with pros eight remover", "it is easily removed with pro eight remover" ]
it is easily removed with pros aide remover
it is easily removed with prost eight remover.
it is easily removed with prost eight remover. it is easily removed with pros eight remover. it is easily removed with pros eight remover. it is easily removed with pro eight remover.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is easily removed with prost eight remover', 'it is easily removed with prost eight remover', 'it is easily removed with pros eight remover', 'it is easily removed with pros eight remover', 'it is easily removed with pro eight remover']
[ "the film has been associated with the new french extremity", "the film has been associated with the new french extramite", "the film has been associated with the new french extrampting team", "the film has been associated with the new french extramiting", "the film has been associated with the new french extreme team" ]
the film has been associated with the new french extremity
the film has been associated with the new french extremity.
the film has been associated with the new french extramite. the film has been associated with the new french extrampting team. the film has been associated with the new french extramiting. the film has been associated with the new french extreme team.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film has been associated with the new french extremity', 'the film has been associated with the new french extramite', 'the film has been associated with the new french extrampting team', 'the film has been associated with the new french extramiting', 'the film has been associated with the new french extreme team']
[ "these people are said to have rather quickly and mysteriously disappeared", "these people are said to have rather quickly and mysteriously disappeared", "these people are said to have rather quickly and mysteriously disappeared", "these people are said to have rather quickly and mysteriously disappeared", "these people are said to have rather quickly and mysteriously disappeared" ]
these people are said to have rather quickly and mysteriously disappeared
these people are said to have rather quickly and mysteriously disappeared.
these people are said to have rather quickly and mysteriously disappeared. these people are said to have rather quickly and mysteriously disappeared. these people are said to have rather quickly and mysteriously disappeared. these people are said to have rather quickly and mysteriously disappeared.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these people are said to have rather quickly and mysteriously disappeared', 'these people are said to have rather quickly and mysteriously disappeared', 'these people are said to have rather quickly and mysteriously disappeared', 'these people are said to have rather quickly and mysteriously disappeared', 'these people are said to have rather quickly and mysteriously disappeared']
[ "why it is fun and i am using people", "why it is fun and i am using people", "why it is fun and i am used as people", "why it is fun and i am uses people", "why it is fun and i am used as people" ]
why it is funny and amuses people
why it is fun and i am using people.
why it is fun and i am using people. why it is fun and i am used as people. why it is fun and i am uses people. why it is fun and i am used as people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['why it is fun and i am using people', 'why it is fun and i am using people', 'why it is fun and i am used as people', 'why it is fun and i am uses people', 'why it is fun and i am used as people']
[ "four days were clear not an anxiety not a thought", "four days were clear not an anxiety not a thought", "four days quickly and on an anxiety not a thought", "four days work leon on an anxiety not a thought", "four days were clear not an anxiety not a thought" ]
four days were clear not an anxiety not a thought
four days were clear not an anxiety not a thought.
four days were clear not an anxiety not a thought. four days quickly and on an anxiety not a thought. four days work leon on an anxiety not a thought. four days were clear not an anxiety not a thought.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['four days were clear not an anxiety not a thought', 'four days were clear not an anxiety not a thought', 'four days quickly and on an anxiety not a thought', 'four days work leon on an anxiety not a thought', 'four days were clear not an anxiety not a thought']
[ "a pale fuel tanks were positioned in number to the center section", "a pale fuel tanks were positioned in number to the center section", "a pale fuel tanks were positioned in number two to the center section", "a pale fuel tanks were positioned in the roots of the center section", "a pale field tanks were positioned in number to the center section" ]
a pair of fuel tanks were positioned in the roots of the center section
a pale fuel tanks were positioned in number to the center section.
a pale fuel tanks were positioned in number to the center section. a pale fuel tanks were positioned in number two to the center section. a pale fuel tanks were positioned in the roots of the center section. a pale field tanks were positioned in number to the center section.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a pale fuel tanks were positioned in number to the center section', 'a pale fuel tanks were positioned in number to the center section', 'a pale fuel tanks were positioned in number two to the center section', 'a pale fuel tanks were positioned in the roots of the center section', 'a pale field tanks were positioned in number to the center section']
[ "our salana continued writing in various school papers at the university of the philippines de liman", "arsolana continued writing in various school papers at the university of the philippines de liman", "our selena continued writing in various school papers at the university of the philippines de liman", "arsolana continued writing in various school papers at the university of the philippines de leman", "arsolana continued writing in various school papers at the university of the philippines de laman" ]
arcellana continued writing in various school papers at the university of the philippines diliman
our salana continued writing in various school papers at the university of the philippines de liman.
arsolana continued writing in various school papers at the university of the philippines de liman. our selena continued writing in various school papers at the university of the philippines de liman. arsolana continued writing in various school papers at the university of the philippines de leman. arsolana continued writing in various school papers at the university of the philippines de laman.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['our salana continued writing in various school papers at the university of the philippines de liman', 'arsolana continued writing in various school papers at the university of the philippines de liman', 'our selena continued writing in various school papers at the university of the philippines de liman', 'arsolana continued writing in various school papers at the university of the philippines de leman', 'arsolana continued writing in various school papers at the university of the philippines de laman']
[ "full professor ships are assistant professor associate professor and full professor in order", "full professor ships are assistant professor associate professor and full professor in order", "full professor ships are assistant professor associate professor and full professor in order", "full professor ships are assistant professor associate professor and full professor in order", "full professor ships are assistant professor associate professor and full professor in order" ]
full professorships are assistant professor associate professor and full professor in order
full professor ships are assistant professor associate professor and full professor in order.
full professor ships are assistant professor associate professor and full professor in order. full professor ships are assistant professor associate professor and full professor in order. full professor ships are assistant professor associate professor and full professor in order. full professor ships are assistant professor associate professor and full professor in order.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['full professor ships are assistant professor associate professor and full professor in order', 'full professor ships are assistant professor associate professor and full professor in order', 'full professor ships are assistant professor associate professor and full professor in order', 'full professor ships are assistant professor associate professor and full professor in order', 'full professor ships are assistant professor associate professor and full professor in order']
[ "lanyan and pat olson have developed a relationship during recent experiences in italy", "lanyan and pat olsen have developed a relationship during recent experiences in italy", "lanyan and pat also have developed a relationship during recent experiences in italy", "lanyan and pat alson have developed a relationship during recent experiences in italy", "lanyan and pat alzen have developed a relationship during recent experiences in italy" ]
lanyon and pat olsen have developed a relationship during recent experiences in italy
lanyan and pat olson have developed a relationship during recent experiences in italy.
lanyan and pat olsen have developed a relationship during recent experiences in italy. lanyan and pat also have developed a relationship during recent experiences in italy. lanyan and pat alson have developed a relationship during recent experiences in italy. lanyan and pat alzen have developed a relationship during recent experiences in italy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['lanyan and pat olson have developed a relationship during recent experiences in italy', 'lanyan and pat olsen have developed a relationship during recent experiences in italy', 'lanyan and pat also have developed a relationship during recent experiences in italy', 'lanyan and pat alson have developed a relationship during recent experiences in italy', 'lanyan and pat alzen have developed a relationship during recent experiences in italy']
[ "the new anthem is named chuliyang mahamulia until now", "the new anthem is named chuliyang mahamulia until now", "the new anthem is named chuliyang mahamulia until now", "the new anthem is named julie young mahamulia until now", "the new anthem is named juliang mahamulia until now" ]
the new anthem is named duli yang maha mulia until now
the new anthem is named chuliyang mahamulia until now.
the new anthem is named chuliyang mahamulia until now. the new anthem is named chuliyang mahamulia until now. the new anthem is named julie young mahamulia until now. the new anthem is named juliang mahamulia until now.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the new anthem is named chuliyang mahamulia until now', 'the new anthem is named chuliyang mahamulia until now', 'the new anthem is named chuliyang mahamulia until now', 'the new anthem is named julie young mahamulia until now', 'the new anthem is named juliang mahamulia until now']
[ "the aircraft crashed at the east end of eihengah", "the aircraft crashed at the east end of ihanga", "the aircraft crashed at the east end of ihanya", "the aircraft crashed at the east end of ihyangya", "the aircraft crashed at the east end of e hunger" ]
the aircraft crashed at the east end of e hangar
the aircraft crashed at the east end of eihengah.
the aircraft crashed at the east end of ihanga. the aircraft crashed at the east end of ihanya. the aircraft crashed at the east end of ihyangya. the aircraft crashed at the east end of e hunger.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the aircraft crashed at the east end of eihengah', 'the aircraft crashed at the east end of ihanga', 'the aircraft crashed at the east end of ihanya', 'the aircraft crashed at the east end of ihyangya', 'the aircraft crashed at the east end of e hunger']
[ "scleric poetry is usually defined as everything else not or very mentioned", "scleric poetry is usually defined as everything else not or very mentioned", "sculidic poetry is usually defined as everything else not or very mentioned", "scleric poetry is usually defined as everything else not all very mentioned", "scladic poetry is usually defined as everything else not or very mentioned" ]
skaldic poetry is usually defined as everything else not already mentioned
scleric poetry is usually defined as everything else not or very mentioned.
scleric poetry is usually defined as everything else not or very mentioned. sculidic poetry is usually defined as everything else not or very mentioned. scleric poetry is usually defined as everything else not all very mentioned. scladic poetry is usually defined as everything else not or very mentioned.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['scleric poetry is usually defined as everything else not or very mentioned', 'scleric poetry is usually defined as everything else not or very mentioned', 'sculidic poetry is usually defined as everything else not or very mentioned', 'scleric poetry is usually defined as everything else not all very mentioned', 'scladic poetry is usually defined as everything else not or very mentioned']
[ "defoe developed a construction technique called the upside down and roll over method", "defer developed a construction technique called the upside down and roll over method", "defered developed a construction technique called the upside down and roll over method", "default developed a construction technique called the upside down and roll over method", "defoe developed a construction technique called the upside down and roll over method" ]
defoe developed a construction technique called the upside down and roll over method
defoe developed a construction technique called the upside down and roll over method.
defer developed a construction technique called the upside down and roll over method. defered developed a construction technique called the upside down and roll over method. default developed a construction technique called the upside down and roll over method. defoe developed a construction technique called the upside down and roll over method.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['defoe developed a construction technique called the upside down and roll over method', 'defer developed a construction technique called the upside down and roll over method', 'defered developed a construction technique called the upside down and roll over method', 'default developed a construction technique called the upside down and roll over method', 'defoe developed a construction technique called the upside down and roll over method']
[ "private economy is also a major contributor of the industrial sector", "private economy is also a major contributor of industrial sector", "private economy is also a major contributor of the industrial sector", "private economy is also a major contributor of the industrial sector", "private economy is also a major contributor of the industrial sector" ]
private economy is also a major contributor of the industrial sector
private economy is also a major contributor of the industrial sector.
private economy is also a major contributor of industrial sector. private economy is also a major contributor of the industrial sector. private economy is also a major contributor of the industrial sector. private economy is also a major contributor of the industrial sector.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['private economy is also a major contributor of the industrial sector', 'private economy is also a major contributor of industrial sector', 'private economy is also a major contributor of the industrial sector', 'private economy is also a major contributor of the industrial sector', 'private economy is also a major contributor of the industrial sector']
[ "pumps may have had an ankle strapped", "pumps may have had an ankle strap", "pumps may have had an ankle struck", "pumps may have had an ankle strapped", "pumps may have had an ankle struck" ]
pumps may have an ankle strap
pumps may have had an ankle strapped.
pumps may have had an ankle strap. pumps may have had an ankle struck. pumps may have had an ankle strapped. pumps may have had an ankle struck.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['pumps may have had an ankle strapped', 'pumps may have had an ankle strap', 'pumps may have had an ankle struck', 'pumps may have had an ankle strapped', 'pumps may have had an ankle struck']
[ "man compatient nading contest", "man compatient nading contest", "man compatient naving contest", "man compatient naving contest", "men can pay the nating contest" ]
men compete in an eating contest
man compatient nading contest.
man compatient nading contest. man compatient naving contest. man compatient naving contest. men can pay the nating contest.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['man compatient nading contest', 'man compatient nading contest', 'man compatient naving contest', 'man compatient naving contest', 'men can pay the nating contest']
[ "often let us engage in money and investments", "afterwards he engaged in money and investments", "afterwards he engaged in modeling investments", "often let us engage in modeling investments", "engage in money and investments" ]
afterwards he engaged in mining and investments
often let us engage in money and investments.
afterwards he engaged in money and investments. afterwards he engaged in modeling investments. often let us engage in modeling investments. engage in money and investments.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['often let us engage in money and investments', 'afterwards he engaged in money and investments', 'afterwards he engaged in modeling investments', 'often let us engage in modeling investments', 'engage in money and investments']
[ "passam in terrace is done for peace on earth", "passim in terrace is done for peace on earth", "passim in tarris is done for peace on earth", "passim in tarris is done for peace on earth", "passim in tarris is ready for peace on earth" ]
pacem in terris is latin for peace on earth
passam in terrace is done for peace on earth.
passim in terrace is done for peace on earth. passim in tarris is done for peace on earth. passim in tarris is done for peace on earth. passim in tarris is ready for peace on earth.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['passam in terrace is done for peace on earth', 'passim in terrace is done for peace on earth', 'passim in tarris is done for peace on earth', 'passim in tarris is done for peace on earth', 'passim in tarris is ready for peace on earth']
[ "the pilot episode was only a half hour long", "the pilot episode was only half hour long", "the pilot episode was only a half hour long", "the pilot episode was only half hour long", "the pilot episode was only a half hour long" ]
the pilot episode was only a half hour long
the pilot episode was only a half hour long.
the pilot episode was only half hour long. the pilot episode was only a half hour long. the pilot episode was only half hour long. the pilot episode was only a half hour long.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the pilot episode was only a half hour long', 'the pilot episode was only half hour long', 'the pilot episode was only a half hour long', 'the pilot episode was only half hour long', 'the pilot episode was only a half hour long']
[ "johannesburg was founded to support mining operation at transburg", "johannesburg was founded to support mining operations at transburg", "johannesburg was founded to support mining operation at transburg", "johannesburg was founded to support mining operation at transburg", "johannesburg was founded to support mining operation at transburg" ]
johannesburg was founded to support mining operation at randsburg
johannesburg was founded to support mining operation at transburg.
johannesburg was founded to support mining operations at transburg. johannesburg was founded to support mining operation at transburg. johannesburg was founded to support mining operation at transburg. johannesburg was founded to support mining operation at transburg.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['johannesburg was founded to support mining operation at transburg', 'johannesburg was founded to support mining operations at transburg', 'johannesburg was founded to support mining operation at transburg', 'johannesburg was founded to support mining operation at transburg', 'johannesburg was founded to support mining operation at transburg']
[ "in response to the infestation the school entered a cleaning effort", "in response to the infestation the school entered a cleaning effort", "in response to the infestation the school entered a cleaning effort", "in response to the infestation the school entered a cleaning effort", "in response to the infestation the school entered a cleaning effort" ]
in response to the infestation the school entered a cleaning effort
in response to the infestation the school entered a cleaning effort.
in response to the infestation the school entered a cleaning effort. in response to the infestation the school entered a cleaning effort. in response to the infestation the school entered a cleaning effort. in response to the infestation the school entered a cleaning effort.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in response to the infestation the school entered a cleaning effort', 'in response to the infestation the school entered a cleaning effort', 'in response to the infestation the school entered a cleaning effort', 'in response to the infestation the school entered a cleaning effort', 'in response to the infestation the school entered a cleaning effort']
[ "the agricultural sector remains the primary source of economic output", "the agricultural sector remains a primary source of economic output", "the other cultural sector remains a primary source of economic output", "the other cultural sector remains the primary source of economic output", "the agricultural sector remains the primary source of economic output" ]
the agricultural sector remains a primary source of economic output
the agricultural sector remains the primary source of economic output.
the agricultural sector remains a primary source of economic output. the other cultural sector remains a primary source of economic output. the other cultural sector remains the primary source of economic output. the agricultural sector remains the primary source of economic output.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the agricultural sector remains the primary source of economic output', 'the agricultural sector remains a primary source of economic output', 'the other cultural sector remains a primary source of economic output', 'the other cultural sector remains the primary source of economic output', 'the agricultural sector remains the primary source of economic output']
[ "i have worked in every european country except portugal", "i have worked in every european country except portugal", "i have worked in every european country except portugal", "i have worked in every european country except portugal", "i have worked in every european country except portugal" ]
i have worked in every european country except portugal
i have worked in every european country except portugal.
i have worked in every european country except portugal. i have worked in every european country except portugal. i have worked in every european country except portugal. i have worked in every european country except portugal.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i have worked in every european country except portugal', 'i have worked in every european country except portugal', 'i have worked in every european country except portugal', 'i have worked in every european country except portugal', 'i have worked in every european country except portugal']
[ "the french spoken in belgium shows some influence from walloon", "the french spoken in belgium shows some influence from waloon", "the french spoken in belgium shows some influence from wolloon", "the french spoken in belgium shows some influence from well looned", "the french spoken in belgium shows some influence from well known" ]
the french spoken in belgium shows some influence from walloon
the french spoken in belgium shows some influence from walloon.
the french spoken in belgium shows some influence from waloon. the french spoken in belgium shows some influence from wolloon. the french spoken in belgium shows some influence from well looned. the french spoken in belgium shows some influence from well known.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the french spoken in belgium shows some influence from walloon', 'the french spoken in belgium shows some influence from waloon', 'the french spoken in belgium shows some influence from wolloon', 'the french spoken in belgium shows some influence from well looned', 'the french spoken in belgium shows some influence from well known']
[ "let me read you a story from a book", "let me read you a story from the book", "lately reading a story from a book", "lady reading a story from a book", "lady reading the story from the book" ]
lady reading a story from a book
let me read you a story from a book.
let me read you a story from the book. lately reading a story from a book. lady reading a story from a book. lady reading the story from the book.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let me read you a story from a book', 'let me read you a story from the book', 'lately reading a story from a book', 'lady reading a story from a book', 'lady reading the story from the book']
[ "it borders porcete park to the south with pastoral land to the northeast", "it borders porced park to the south with pastoral land to the northeast", "it borders porcet park to the south with pastoral land to the northeast", "it borders poroset park to the south with pastoral land to the northeast", "it borders porcete park to the south with pastoral land to the northeast" ]
it borders porset park to the south with pastoral land to the north east
it borders porcete park to the south with pastoral land to the northeast.
it borders porced park to the south with pastoral land to the northeast. it borders porcet park to the south with pastoral land to the northeast. it borders poroset park to the south with pastoral land to the northeast. it borders porcete park to the south with pastoral land to the northeast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it borders porcete park to the south with pastoral land to the northeast', 'it borders porced park to the south with pastoral land to the northeast', 'it borders porcet park to the south with pastoral land to the northeast', 'it borders poroset park to the south with pastoral land to the northeast', 'it borders porcete park to the south with pastoral land to the northeast']
[ "it generalizes to n airy functions where the proper term is multilinear", "it generalizes to n airy functions where the proper term is multi linear", "it generalizes to n airy functions where the proper term is multi linear", "it generalizes to n ary functions where the proper term is multilinear", "it generalizes to n ary functions where the proper term is multilinear" ]
it generalizes to n ary functions where the proper term is multilinear
it generalizes to n airy functions where the proper term is multilinear.
it generalizes to n airy functions where the proper term is multi linear. it generalizes to n airy functions where the proper term is multi linear. it generalizes to n ary functions where the proper term is multilinear. it generalizes to n ary functions where the proper term is multilinear.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it generalizes to n airy functions where the proper term is multilinear', 'it generalizes to n airy functions where the proper term is multi linear', 'it generalizes to n airy functions where the proper term is multi linear', 'it generalizes to n ary functions where the proper term is multilinear', 'it generalizes to n ary functions where the proper term is multilinear']
[ "auto cryptus ulterrestrial lizards that can use bipedal locomotion", "autocryptus ulterrestrial lizards that can use bipedal locomotion", "autocryptus ulterrestrial lizards that can use bipedal locomotion", "autocryptus ulterestrial lizards that can use bipedal locomotion", "autocryptus ulterestrial lizards that can use bipedal locomotion" ]
otocryptis are terrestrial lizards that can use bipedal locomotion
auto cryptus ulterrestrial lizards that can use bipedal locomotion.
autocryptus ulterrestrial lizards that can use bipedal locomotion. autocryptus ulterrestrial lizards that can use bipedal locomotion. autocryptus ulterestrial lizards that can use bipedal locomotion. autocryptus ulterestrial lizards that can use bipedal locomotion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['auto cryptus ulterrestrial lizards that can use bipedal locomotion', 'autocryptus ulterrestrial lizards that can use bipedal locomotion', 'autocryptus ulterrestrial lizards that can use bipedal locomotion', 'autocryptus ulterestrial lizards that can use bipedal locomotion', 'autocryptus ulterestrial lizards that can use bipedal locomotion']
[ "randall foster planta a merchant a public official and shipmaster", "randall foster planta a merchant a public official and a chief master", "randall foster planta a merchant a public official and a shipmaster", "randall forester planta a merchant a public official and shipmaster", "randall forester planta a merchant a public official and a chief master" ]
randolph was a planter a merchant a public official and a shipmaster
randall foster planta a merchant a public official and shipmaster.
randall foster planta a merchant a public official and a chief master. randall foster planta a merchant a public official and a shipmaster. randall forester planta a merchant a public official and shipmaster. randall forester planta a merchant a public official and a chief master.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['randall foster planta a merchant a public official and shipmaster', 'randall foster planta a merchant a public official and a chief master', 'randall foster planta a merchant a public official and a shipmaster', 'randall forester planta a merchant a public official and shipmaster', 'randall forester planta a merchant a public official and a chief master']
[ "however some studies indicate it is an allergen", "however some studies indicate it is an allegin", "however some studies indicate it is an allergion", "however some studies indicate it is an allergen", "however some studies indicate it is an allergion" ]
however some studies indicate it is an allergen
however some studies indicate it is an allergen.
however some studies indicate it is an allegin. however some studies indicate it is an allergion. however some studies indicate it is an allergen. however some studies indicate it is an allergion.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however some studies indicate it is an allergen', 'however some studies indicate it is an allegin', 'however some studies indicate it is an allergion', 'however some studies indicate it is an allergen', 'however some studies indicate it is an allergion']
[ "it is multiplication", "it is multiplication", "it is multiplication", "it is multiplication", "it is multiplication" ]
it is multiplication
it is multiplication.
it is multiplication. it is multiplication. it is multiplication. it is multiplication.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is multiplication', 'it is multiplication', 'it is multiplication', 'it is multiplication', 'it is multiplication']
[ "kulite venom has various crossovers with the second installment of the wild amps series", "kulite venom has various crossovers with the second installment of the wild amps series", "kulite venom has various crossovers with the second installment of the wild arms series", "kulite venom has various crossovers with the second installment of the wild arms series", "kulite venom has various crossovers with the second installment of the wild" ]
twilight venom has various crossovers with the second installment of the wild arms series
kulite venom has various crossovers with the second installment of the wild amps series.
kulite venom has various crossovers with the second installment of the wild amps series. kulite venom has various crossovers with the second installment of the wild arms series. kulite venom has various crossovers with the second installment of the wild arms series. kulite venom has various crossovers with the second installment of the wild.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['kulite venom has various crossovers with the second installment of the wild amps series', 'kulite venom has various crossovers with the second installment of the wild amps series', 'kulite venom has various crossovers with the second installment of the wild arms series', 'kulite venom has various crossovers with the second installment of the wild arms series', 'kulite venom has various crossovers with the second installment of the wild']
[ "the highway used to run much further", "the highway used to run much farther", "the highway used to run much further", "the highway used to run much further", "the highway is used to run much further" ]
the highway used to run much farther
the highway used to run much further.
the highway used to run much farther. the highway used to run much further. the highway used to run much further. the highway is used to run much further.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the highway used to run much further', 'the highway used to run much farther', 'the highway used to run much further', 'the highway used to run much further', 'the highway is used to run much further']
[ "there he was in turn but escaped and traveled to france by sea", "there he was in turn but escaped and traveled to france by sea", "there he was in turn but escaped and traveled to france by sea", "there he was interned but escaped and traveled to france by sea", "there he was in turn but escaped and traveled to france by sea" ]
there he was interned but escaped and traveled to france by sea
there he was in turn but escaped and traveled to france by sea.
there he was in turn but escaped and traveled to france by sea. there he was in turn but escaped and traveled to france by sea. there he was interned but escaped and traveled to france by sea. there he was in turn but escaped and traveled to france by sea.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there he was in turn but escaped and traveled to france by sea', 'there he was in turn but escaped and traveled to france by sea', 'there he was in turn but escaped and traveled to france by sea', 'there he was interned but escaped and traveled to france by sea', 'there he was in turn but escaped and traveled to france by sea']
[ "the office of both versions are online", "the office of both versions online", "the office or both versions are online", "the office are both versions of online", "the office of both versions of online" ]
the authors of both versions are unknown
the office of both versions are online.
the office of both versions online. the office or both versions are online. the office are both versions of online. the office of both versions of online.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the office of both versions are online', 'the office of both versions online', 'the office or both versions are online', 'the office are both versions of online', 'the office of both versions of online']
[ "the novel has never been found", "the novel has never been found", "the novel has never been found", "the novel has never been found", "the novel has never been found" ]
the novel has never been found
the novel has never been found.
the novel has never been found. the novel has never been found. the novel has never been found. the novel has never been found.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the novel has never been found', 'the novel has never been found', 'the novel has never been found', 'the novel has never been found', 'the novel has never been found']
[ "individual digest became available for purchase via amazon com", "individual digests became available for purchase via amazon com", "individual digest became available for purchase via amazon com", "individual digest became available for purchase via amazon com", "individual digest became available for purchase via amazon dot com" ]
individual digests became available for purchase via amazon dot com
individual digest became available for purchase via amazon com.
individual digests became available for purchase via amazon com. individual digest became available for purchase via amazon com. individual digest became available for purchase via amazon com. individual digest became available for purchase via amazon dot com.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['individual digest became available for purchase via amazon com', 'individual digests became available for purchase via amazon com', 'individual digest became available for purchase via amazon com', 'individual digest became available for purchase via amazon com', 'individual digest became available for purchase via amazon dot com']
[ "on the other hand an abelian scheme may not be projective", "on the other hand an abelian scheme may not be projective", "on the other hand an abelian scheme may not be projective", "on the other hand an abelian scheme may not be projective", "on the other hand an abelian scheme may not be projective" ]
on the other hand an abelian scheme may not be projective
on the other hand an abelian scheme may not be projective.
on the other hand an abelian scheme may not be projective. on the other hand an abelian scheme may not be projective. on the other hand an abelian scheme may not be projective. on the other hand an abelian scheme may not be projective.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['on the other hand an abelian scheme may not be projective', 'on the other hand an abelian scheme may not be projective', 'on the other hand an abelian scheme may not be projective', 'on the other hand an abelian scheme may not be projective', 'on the other hand an abelian scheme may not be projective']
[ "commentators on the song tended to suggest that joy was its primary oath", "commentators on the song tended to suggest that joy was its primary oath though", "commentators on the song tended to suggest that joy was its primary oath", "commentators on the song tended to suggest that joy was its primary oath", "commentators on the song tended to suggest that joy was its primary oath" ]
commentators on the song tended to suggest that joey was its primary author
commentators on the song tended to suggest that joy was its primary oath.
commentators on the song tended to suggest that joy was its primary oath though. commentators on the song tended to suggest that joy was its primary oath. commentators on the song tended to suggest that joy was its primary oath. commentators on the song tended to suggest that joy was its primary oath.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['commentators on the song tended to suggest that joy was its primary oath', 'commentators on the song tended to suggest that joy was its primary oath though', 'commentators on the song tended to suggest that joy was its primary oath', 'commentators on the song tended to suggest that joy was its primary oath', 'commentators on the song tended to suggest that joy was its primary oath']
[ "playing the angel receive positive reviews", "playing the angel received positive reviews", "playing the angel received positive reviews", "playing the angel receive positive reviews", "playing the angel receive positive reviews" ]
playing the angel received positive reviews
playing the angel receive positive reviews.
playing the angel received positive reviews. playing the angel received positive reviews. playing the angel receive positive reviews. playing the angel receive positive reviews.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['playing the angel receive positive reviews', 'playing the angel received positive reviews', 'playing the angel received positive reviews', 'playing the angel receive positive reviews', 'playing the angel receive positive reviews']
[ "it was formerly capital of the indini territory", "it was formerly capital of the indini territory", "it was formally capital of the indini territory", "it was formerly capital of the inini territory", "it was formally capital of the indini territory" ]
it was formerly capital of the inini territory
it was formerly capital of the indini territory.
it was formerly capital of the indini territory. it was formally capital of the indini territory. it was formerly capital of the inini territory. it was formally capital of the indini territory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was formerly capital of the indini territory', 'it was formerly capital of the indini territory', 'it was formally capital of the indini territory', 'it was formerly capital of the inini territory', 'it was formally capital of the indini territory']
[ "neck keyna resides in torchester massachusetts", "neck keyna resides in tortchester massachusetts", "neck ena resides in tortchester massachusetts", "neck ena resides in torchester massachusetts", "neck keyna resides in torchester messages sets" ]
mckenna resides in dorchester massachusetts
neck keyna resides in torchester massachusetts.
neck keyna resides in tortchester massachusetts. neck ena resides in tortchester massachusetts. neck ena resides in torchester massachusetts. neck keyna resides in torchester messages sets.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['neck keyna resides in torchester massachusetts', 'neck keyna resides in tortchester massachusetts', 'neck ena resides in tortchester massachusetts', 'neck ena resides in torchester massachusetts', 'neck keyna resides in torchester messages sets']
[ "her polar was later captured and after torture covered it to christianity", "her puller was later captured and after torture converted to christianity", "her puller was later captured and after torture covered it to christianity", "her polar was later captured and after torture converted to christianity", "her polar was later captured and after torture covered it to christianity" ]
horapollo was later captured and after torture converted to christianity
her polar was later captured and after torture covered it to christianity.
her puller was later captured and after torture converted to christianity. her puller was later captured and after torture covered it to christianity. her polar was later captured and after torture converted to christianity. her polar was later captured and after torture covered it to christianity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['her polar was later captured and after torture covered it to christianity', 'her puller was later captured and after torture converted to christianity', 'her puller was later captured and after torture covered it to christianity', 'her polar was later captured and after torture converted to christianity', 'her polar was later captured and after torture covered it to christianity']
[ "today the community is primarily residential", "today the community is primarily residential", "today the community is primarily residential", "today the community is primarily residential", "today the community is primarily residential" ]
today the community is primarily residential
today the community is primarily residential.
today the community is primarily residential. today the community is primarily residential. today the community is primarily residential. today the community is primarily residential.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['today the community is primarily residential', 'today the community is primarily residential', 'today the community is primarily residential', 'today the community is primarily residential', 'today the community is primarily residential']
[ "the railway was the staff went to sherry is very line by newport and wellington", "the railway was the staff went to sherry is ferry line by newport and wellington", "the railway was the staff want to shoot very line by newport and wellington", "the railway was the staff want to ship very line by newport and wellington", "the railway was the staff want to shoot a ferry line by newport and wellington" ]
the railway was the stafford to shrewsbury line via newport and wellington
the railway was the staff went to sherry is very line by newport and wellington.
the railway was the staff went to sherry is ferry line by newport and wellington. the railway was the staff want to shoot very line by newport and wellington. the railway was the staff want to ship very line by newport and wellington. the railway was the staff want to shoot a ferry line by newport and wellington.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the railway was the staff went to sherry is very line by newport and wellington', 'the railway was the staff went to sherry is ferry line by newport and wellington', 'the railway was the staff want to shoot very line by newport and wellington', 'the railway was the staff want to ship very line by newport and wellington', 'the railway was the staff want to shoot a ferry line by newport and wellington']
[ "each zoo was divided into romania or provinces", "each shoe was divided into romania or provinces", "h c was divided into romania or provinces", "htwo was divided into romania or provinces", "each of you was divided into romani or provinces" ]
each suyu was divided into wamani or provinces
each zoo was divided into romania or provinces.
each shoe was divided into romania or provinces. h c was divided into romania or provinces. htwo was divided into romania or provinces. each of you was divided into romani or provinces.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['each zoo was divided into romania or provinces', 'each shoe was divided into romania or provinces', 'h c was divided into romania or provinces', 'htwo was divided into romania or provinces', 'each of you was divided into romani or provinces']
[ "she was described as influential", "she were described as influential", "she would describe it as influential", "she was described as influential", "she will describe it as influential" ]
she was described as influential
she was described as influential.
she were described as influential. she would describe it as influential. she was described as influential. she will describe it as influential.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she was described as influential', 'she were described as influential', 'she would describe it as influential', 'she was described as influential', 'she will describe it as influential']
[ "other key issues in long term financial strength are sponsorship and size of crowds", "other key issues in long term financial strength a sponsorship and size of crowds", "other key issues in long term financial strength a sponsorship and size of crowds", "other key issues in long term financial strength are sponsorship and size of crowds", "other key issues in long term financial strength a sponsorship and size of crowds" ]
other key issues in long term financial strength are sponsorship and size of crowds
other key issues in long term financial strength are sponsorship and size of crowds.
other key issues in long term financial strength a sponsorship and size of crowds. other key issues in long term financial strength a sponsorship and size of crowds. other key issues in long term financial strength are sponsorship and size of crowds. other key issues in long term financial strength a sponsorship and size of crowds.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['other key issues in long term financial strength are sponsorship and size of crowds', 'other key issues in long term financial strength a sponsorship and size of crowds', 'other key issues in long term financial strength a sponsorship and size of crowds', 'other key issues in long term financial strength are sponsorship and size of crowds', 'other key issues in long term financial strength a sponsorship and size of crowds']
[ "it was broadcast in the united kingdom that same year", "it was broadcasted in the united kingdom that same year", "it was broadcast in the united kingdom that same year", "it was broadcasted in the united kingdom that same year", "it was broadcasted in the united kingdom that same year" ]
it was broadcast in the united kingdom that same year
it was broadcast in the united kingdom that same year.
it was broadcasted in the united kingdom that same year. it was broadcast in the united kingdom that same year. it was broadcasted in the united kingdom that same year. it was broadcasted in the united kingdom that same year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was broadcast in the united kingdom that same year', 'it was broadcasted in the united kingdom that same year', 'it was broadcast in the united kingdom that same year', 'it was broadcasted in the united kingdom that same year', 'it was broadcasted in the united kingdom that same year']
[ "s d anne is from southern china is a popular species in bonsai", "sds from southern china is a popular species in bonsai", "as the ends from southern china is a popular species in bonsai", "s d ans from southern china is a popular species in bonsai", "as the ends from southern china is a popular species in bonsai" ]
s theezans from southern china is a popular species in bonsai
s d anne is from southern china is a popular species in bonsai.
sds from southern china is a popular species in bonsai. as the ends from southern china is a popular species in bonsai. s d ans from southern china is a popular species in bonsai. as the ends from southern china is a popular species in bonsai.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['s d anne is from southern china is a popular species in bonsai', 'sds from southern china is a popular species in bonsai', 'as the ends from southern china is a popular species in bonsai', 's d ans from southern china is a popular species in bonsai', 'as the ends from southern china is a popular species in bonsai']
[ "furthermore in cases where transit is allowed special security fees are at times assessed", "furthermore in cases where transit is allowed special security fees are at times assessed", "furthermore in cases where transit is allowed special security fees are at time assessed", "furthermore in cases where transity is allowed special security fees are at times assessed", "furthermore in cases where transid is allowed special security fees are at times assessed" ]
furthermore in cases where transit is allowed special security fees are at times assessed
furthermore in cases where transit is allowed special security fees are at times assessed.
furthermore in cases where transit is allowed special security fees are at times assessed. furthermore in cases where transit is allowed special security fees are at time assessed. furthermore in cases where transity is allowed special security fees are at times assessed. furthermore in cases where transid is allowed special security fees are at times assessed.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['furthermore in cases where transit is allowed special security fees are at times assessed', 'furthermore in cases where transit is allowed special security fees are at times assessed', 'furthermore in cases where transit is allowed special security fees are at time assessed', 'furthermore in cases where transity is allowed special security fees are at times assessed', 'furthermore in cases where transid is allowed special security fees are at times assessed']
[ "fiji and tonga qualified and some all earned a second chance in their web charge round", "fiji and tonga qualified and samoa earned a second chance in their web charge round", "fiji and tonga qualified and some all earned a second chance in their web charred round", "fiji and tonga qualified and some all earned a second chance in their weep charge round", "fiji and tonga qualified and some all earned a second chance in their vip charge round" ]
fiji and tonga qualified and samoa earned a second chance in the repecharge round
fiji and tonga qualified and some all earned a second chance in their web charge round.
fiji and tonga qualified and samoa earned a second chance in their web charge round. fiji and tonga qualified and some all earned a second chance in their web charred round. fiji and tonga qualified and some all earned a second chance in their weep charge round. fiji and tonga qualified and some all earned a second chance in their vip charge round.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['fiji and tonga qualified and some all earned a second chance in their web charge round', 'fiji and tonga qualified and samoa earned a second chance in their web charge round', 'fiji and tonga qualified and some all earned a second chance in their web charred round', 'fiji and tonga qualified and some all earned a second chance in their weep charge round', 'fiji and tonga qualified and some all earned a second chance in their vip charge round']
[ "after he came off age she continued to advise him", "after he came off age she continued to advise him", "after he came off edge she continued to advise him", "after he came of age she continued to advise him", "after he came off age she continued to advise him" ]
after he came of age she continued to advise him
after he came off age she continued to advise him.
after he came off age she continued to advise him. after he came off edge she continued to advise him. after he came of age she continued to advise him. after he came off age she continued to advise him.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after he came off age she continued to advise him', 'after he came off age she continued to advise him', 'after he came off edge she continued to advise him', 'after he came of age she continued to advise him', 'after he came off age she continued to advise him']
[ "as a reprisal this net was disbanded", "as a reprisal this net was disbanded", "as a reprisal the snack was disbanded", "as a reprisal this map was disbanded", "as a reprisal the snack was disbanded" ]
as a reprisal the znak was disbanded
as a reprisal this net was disbanded.
as a reprisal this net was disbanded. as a reprisal the snack was disbanded. as a reprisal this map was disbanded. as a reprisal the snack was disbanded.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['as a reprisal this net was disbanded', 'as a reprisal this net was disbanded', 'as a reprisal the snack was disbanded', 'as a reprisal this map was disbanded', 'as a reprisal the snack was disbanded']
[ "texas governor alan shivers throughout the first pitch", "texas governor alan shivers threw out their first pitch", "texas governor alan schivers threw out their first pitch", "texas governor alan shivers throughout the first pitch", "texas governor alan schivers throughout the first pitch" ]
texas governor allan shivers threw out the first pitch
texas governor alan shivers throughout the first pitch.
texas governor alan shivers threw out their first pitch. texas governor alan schivers threw out their first pitch. texas governor alan shivers throughout the first pitch. texas governor alan schivers throughout the first pitch.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['texas governor alan shivers throughout the first pitch', 'texas governor alan shivers threw out their first pitch', 'texas governor alan schivers threw out their first pitch', 'texas governor alan shivers throughout the first pitch', 'texas governor alan schivers throughout the first pitch']
[ "he then reprise the picker pocket or two number with a cast", "he then reprised the picker pocket or two number with a cast", "he then reprise the picker pocket or two number with the cast", "you then reprise the picker pocket or two number with a cast", "he then reprised the picker pocket or two number with the cast" ]
he then reprised the pick a pocket or two number with the cast
he then reprise the picker pocket or two number with a cast.
he then reprised the picker pocket or two number with a cast. he then reprise the picker pocket or two number with the cast. you then reprise the picker pocket or two number with a cast. he then reprised the picker pocket or two number with the cast.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he then reprise the picker pocket or two number with a cast', 'he then reprised the picker pocket or two number with a cast', 'he then reprise the picker pocket or two number with the cast', 'you then reprise the picker pocket or two number with a cast', 'he then reprised the picker pocket or two number with the cast']
[ "dorian invites basil and lord henry to see sybil perform in romeo and juliet", "dorian invites basil and lord henry to see sible perform in romeo and juliet", "dorian invites basil and lord henry to see civil perform in romeo and juliet", "dorian invites basil and lord henry to see simple perform in romeo and juliet", "dorian invites basil and lord henry to see cible perform in romeo and juliet" ]
dorian invites basil and lord henry to see sibyl perform in romeo and juliet
dorian invites basil and lord henry to see sybil perform in romeo and juliet.
dorian invites basil and lord henry to see sible perform in romeo and juliet. dorian invites basil and lord henry to see civil perform in romeo and juliet. dorian invites basil and lord henry to see simple perform in romeo and juliet. dorian invites basil and lord henry to see cible perform in romeo and juliet.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['dorian invites basil and lord henry to see sybil perform in romeo and juliet', 'dorian invites basil and lord henry to see sible perform in romeo and juliet', 'dorian invites basil and lord henry to see civil perform in romeo and juliet', 'dorian invites basil and lord henry to see simple perform in romeo and juliet', 'dorian invites basil and lord henry to see cible perform in romeo and juliet']
[ "like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode", "like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode", "like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode", "like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode", "like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode" ]
like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode
like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode.
like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode. like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode. like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode. like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode', 'like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode', 'like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode', 'like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode', 'like anderson is previous puppet series futuristic vehicles and technology featured prominently in each episode']
[ "they eventually find it that are confronted by two armed cowboys also seeking it", "they eventually find it but are confronted by two armed cowboys also seeking it", "they eventually find it but are confronted by two armed cowboys also seeking it", "they eventually find it but are confronted by two armed cowboys also seeking it", "they eventually find it but are confronted by two armed cowboys also seeking it" ]
they eventually find it but are confronted by two armed cowboys also seeking it
they eventually find it that are confronted by two armed cowboys also seeking it.
they eventually find it but are confronted by two armed cowboys also seeking it. they eventually find it but are confronted by two armed cowboys also seeking it. they eventually find it but are confronted by two armed cowboys also seeking it. they eventually find it but are confronted by two armed cowboys also seeking it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they eventually find it that are confronted by two armed cowboys also seeking it', 'they eventually find it but are confronted by two armed cowboys also seeking it', 'they eventually find it but are confronted by two armed cowboys also seeking it', 'they eventually find it but are confronted by two armed cowboys also seeking it', 'they eventually find it but are confronted by two armed cowboys also seeking it']
[ "in the event pangae became an urban district in kent", "in the event penge became an open district in kent", "in the event pangae became an open district in kent", "in the event penge became an urban district in kent", "in the event pange became an open district in kent" ]
in the event penge became an urban district in kent
in the event pangae became an urban district in kent.
in the event penge became an open district in kent. in the event pangae became an open district in kent. in the event penge became an urban district in kent. in the event pange became an open district in kent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in the event pangae became an urban district in kent', 'in the event penge became an open district in kent', 'in the event pangae became an open district in kent', 'in the event penge became an urban district in kent', 'in the event pange became an open district in kent']
[ "my christy was born in red hill sorry", "mike christie was born in red hill sorry", "my christy was born in red hill sorry", "my christy was born in redhill sorry", "mike christie was born in red hill sorry" ]
mike christie was born in redhill surrey
my christy was born in red hill sorry.
mike christie was born in red hill sorry. my christy was born in red hill sorry. my christy was born in redhill sorry. mike christie was born in red hill sorry.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['my christy was born in red hill sorry', 'mike christie was born in red hill sorry', 'my christy was born in red hill sorry', 'my christy was born in redhill sorry', 'mike christie was born in red hill sorry']
[ "these partner states provide through research councils the bulk of its funding", "these partner states provide through research councils the bulk of its funding", "these partner states provide through research cancels the bulk of its funding", "these partners state to provide through research councils the bulk of its funding", "these partners states provide through research councils the bulk of its funding" ]
these partner states provide through research councils the bulk of its funding
these partner states provide through research councils the bulk of its funding.
these partner states provide through research councils the bulk of its funding. these partner states provide through research cancels the bulk of its funding. these partners state to provide through research councils the bulk of its funding. these partners states provide through research councils the bulk of its funding.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these partner states provide through research councils the bulk of its funding', 'these partner states provide through research councils the bulk of its funding', 'these partner states provide through research cancels the bulk of its funding', 'these partners state to provide through research councils the bulk of its funding', 'these partners states provide through research councils the bulk of its funding']
[ "the ghost town of granite city was located in the town", "the ghost town of granite city was located in the town", "the ghost town of granite city was located in the town", "the ghost town of granite city was located in the town", "the ghost town of granite city was located in the town" ]
the ghost town of granite city was located in the town
the ghost town of granite city was located in the town.
the ghost town of granite city was located in the town. the ghost town of granite city was located in the town. the ghost town of granite city was located in the town. the ghost town of granite city was located in the town.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the ghost town of granite city was located in the town', 'the ghost town of granite city was located in the town', 'the ghost town of granite city was located in the town', 'the ghost town of granite city was located in the town', 'the ghost town of granite city was located in the town']
[ "the film became a cultural phenomenon and won six academy awards", "the film became a cultural phenomenon and won six academy awards", "that film became a cultural phenomenon and won six academy awards", "the film became a cultural phenomenon and won six academy awards", "the film became a cultural phenomenon and won six academy awards" ]
the film became a cultural phenomenon and won six academy awards
the film became a cultural phenomenon and won six academy awards.
the film became a cultural phenomenon and won six academy awards. that film became a cultural phenomenon and won six academy awards. the film became a cultural phenomenon and won six academy awards. the film became a cultural phenomenon and won six academy awards.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the film became a cultural phenomenon and won six academy awards', 'the film became a cultural phenomenon and won six academy awards', 'that film became a cultural phenomenon and won six academy awards', 'the film became a cultural phenomenon and won six academy awards', 'the film became a cultural phenomenon and won six academy awards']
[ "h carreboids has a wide distribution across europe", "h caroboids has a wide distribution across europe", "h cariboyd has a wide distribution across europe", "h caraboyd has a wide distribution across europe", "h caribouids has a wide distribution across europe" ]
h caraboides has a wide distribution across europe
h carreboids has a wide distribution across europe.
h caroboids has a wide distribution across europe. h cariboyd has a wide distribution across europe. h caraboyd has a wide distribution across europe. h caribouids has a wide distribution across europe.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['h carreboids has a wide distribution across europe', 'h caroboids has a wide distribution across europe', 'h cariboyd has a wide distribution across europe', 'h caraboyd has a wide distribution across europe', 'h caribouids has a wide distribution across europe']
[ "targeting the mass market for women", "targeting the mass market for women", "tagging the mass market for women", "targeting the mass market for women", "tagging the mass market for women" ]
targeting the mass market for women
targeting the mass market for women.
targeting the mass market for women. tagging the mass market for women. targeting the mass market for women. tagging the mass market for women.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['targeting the mass market for women', 'targeting the mass market for women', 'tagging the mass market for women', 'targeting the mass market for women', 'tagging the mass market for women']
[ "ryan and ashley have two children luca and stella", "ryan and ashley have two children luca and stella", "ryan and ashley have two children luca and stella", "ryan and ashley have two children luca and stella", "ryan and ashley have two children luca and stella" ]
ryan and ashley have two children luca and stella
ryan and ashley have two children luca and stella.
ryan and ashley have two children luca and stella. ryan and ashley have two children luca and stella. ryan and ashley have two children luca and stella. ryan and ashley have two children luca and stella.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['ryan and ashley have two children luca and stella', 'ryan and ashley have two children luca and stella', 'ryan and ashley have two children luca and stella', 'ryan and ashley have two children luca and stella', 'ryan and ashley have two children luca and stella']
[ "but joke is the pm seat of mubwe county", "but joke is the bm seat of mubwe county", "but joke is the p m seat of mubwe county", "but joke is the b m seat of mubwe county", "but joke is the pm seat of mabwikanti" ]
pajok is the payam seat of magwi county
but joke is the pm seat of mubwe county.
but joke is the bm seat of mubwe county. but joke is the p m seat of mubwe county. but joke is the b m seat of mubwe county. but joke is the pm seat of mabwikanti.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['but joke is the pm seat of mubwe county', 'but joke is the bm seat of mubwe county', 'but joke is the p m seat of mubwe county', 'but joke is the b m seat of mubwe county', 'but joke is the pm seat of mabwikanti']
[ "he was named the captain of the team", "he was named the captain of the team", "he was named the captain of the team", "he was named the captain of the team", "he was named the captain of the team" ]
he was named the captain of the team
he was named the captain of the team.
he was named the captain of the team. he was named the captain of the team. he was named the captain of the team. he was named the captain of the team.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was named the captain of the team', 'he was named the captain of the team', 'he was named the captain of the team', 'he was named the captain of the team', 'he was named the captain of the team']
[ "nazari was convicted for the killings and sentenced to death", "nazari was convicted for the killing and sentenced to death", "nasari was convicted for the killings and sentenced to death", "nezari was convicted for the killings and sentenced to death", "nazari was convicted for the killing is encentence to death" ]
nazari was convicted for the killings and sentenced to death
nazari was convicted for the killings and sentenced to death.
nazari was convicted for the killing and sentenced to death. nasari was convicted for the killings and sentenced to death. nezari was convicted for the killings and sentenced to death. nazari was convicted for the killing is encentence to death.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['nazari was convicted for the killings and sentenced to death', 'nazari was convicted for the killing and sentenced to death', 'nasari was convicted for the killings and sentenced to death', 'nezari was convicted for the killings and sentenced to death', 'nazari was convicted for the killing is encentence to death']
[ "these methods have been proven to better reduce recidivism for low risk offenders", "these methods have been proven to better reduce recedivism for low risk offenders", "these methods have been proven to better reduce recidivism for low risk offenders", "these methods have been proven to better reduce recedivism for low risk offenders", "these methods have been proven to better reduce recidivism for low risk offenders" ]
these methods have been proven to better reduce recidivism for low risk offenders
these methods have been proven to better reduce recidivism for low risk offenders.
these methods have been proven to better reduce recedivism for low risk offenders. these methods have been proven to better reduce recidivism for low risk offenders. these methods have been proven to better reduce recedivism for low risk offenders. these methods have been proven to better reduce recidivism for low risk offenders.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these methods have been proven to better reduce recidivism for low risk offenders', 'these methods have been proven to better reduce recedivism for low risk offenders', 'these methods have been proven to better reduce recidivism for low risk offenders', 'these methods have been proven to better reduce recedivism for low risk offenders', 'these methods have been proven to better reduce recidivism for low risk offenders']
[ "visit and refer to foodcock is nock as a pleasant innings", "visit and refer to footcock is nock as a pleasant innings", "visit and refer to foodcox nock as a pleasant innings", "visit and refer to footcork is nock as a pleasant innings", "visit and refer to foodcock is nock as a pleasant innings" ]
wisden referred to woodcock is knock as a pleasant innings
visit and refer to foodcock is nock as a pleasant innings.
visit and refer to footcock is nock as a pleasant innings. visit and refer to foodcox nock as a pleasant innings. visit and refer to footcork is nock as a pleasant innings. visit and refer to foodcock is nock as a pleasant innings.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['visit and refer to foodcock is nock as a pleasant innings', 'visit and refer to footcock is nock as a pleasant innings', 'visit and refer to foodcox nock as a pleasant innings', 'visit and refer to footcork is nock as a pleasant innings', 'visit and refer to foodcock is nock as a pleasant innings']
[ "inside the church the curation is dominated by fresco painting", "inside the church the curation is dominated by fresco painting", "inside the church the christian is dominated by fresco painting", "inside the church the christian is dominated by fresco painting", "inside the church the creation is dominated by fresco painting" ]
inside the church decoration is dominated by its fresco painting
inside the church the curation is dominated by fresco painting.
inside the church the curation is dominated by fresco painting. inside the church the christian is dominated by fresco painting. inside the church the christian is dominated by fresco painting. inside the church the creation is dominated by fresco painting.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['inside the church the curation is dominated by fresco painting', 'inside the church the curation is dominated by fresco painting', 'inside the church the christian is dominated by fresco painting', 'inside the church the christian is dominated by fresco painting', 'inside the church the creation is dominated by fresco painting']
[ "after this release it will lead coarsely as a click", "after this release it will lead coarsely as they click", "after this release it will lead coarsely as a clerk", "after this release it will lead closely as a click", "after this release it will lead closely as they click" ]
after his release he lived quietly as a clerk
after this release it will lead coarsely as a click.
after this release it will lead coarsely as they click. after this release it will lead coarsely as a clerk. after this release it will lead closely as a click. after this release it will lead closely as they click.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after this release it will lead coarsely as a click', 'after this release it will lead coarsely as they click', 'after this release it will lead coarsely as a clerk', 'after this release it will lead closely as a click', 'after this release it will lead closely as they click']