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[ "some peat deposits are present", "some peat deposits are present", "some pete deposits are present", "some peat deposits are present", "some peak deposits are present" ]
some peat deposits are present
some peat deposits are present.
some peat deposits are present. some pete deposits are present. some peat deposits are present. some peak deposits are present.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['some peat deposits are present', 'some peat deposits are present', 'some pete deposits are present', 'some peat deposits are present', 'some peak deposits are present']
[ "the city was named in honor of one reverend s brinsmaid", "the city was named in honor of one reverend s bringsmaid", "the city was named in honor of one reverend s brindsmaid", "the city was named in honor of one reverend s brunsmaid", "the city was named in honor of one reverend s brunsmaid" ]
the city was named in honor of one reverend s brinsmade
the city was named in honor of one reverend s brinsmaid.
the city was named in honor of one reverend s bringsmaid. the city was named in honor of one reverend s brindsmaid. the city was named in honor of one reverend s brunsmaid. the city was named in honor of one reverend s brunsmaid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the city was named in honor of one reverend s brinsmaid', 'the city was named in honor of one reverend s bringsmaid', 'the city was named in honor of one reverend s brindsmaid', 'the city was named in honor of one reverend s brunsmaid', 'the city was named in honor of one reverend s brunsmaid']
[ "it was the first award in the united states expressly for literary translators", "it was the first award in the united states expressly for literary translators", "it was the first award in the united states expressly for literary translators", "it was the first award in the united states expressly for literary translators", "it was the first award in the united states expressly for literary translators" ]
it was the first award in the united states expressly for literary translators
it was the first award in the united states expressly for literary translators.
it was the first award in the united states expressly for literary translators. it was the first award in the united states expressly for literary translators. it was the first award in the united states expressly for literary translators. it was the first award in the united states expressly for literary translators.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was the first award in the united states expressly for literary translators', 'it was the first award in the united states expressly for literary translators', 'it was the first award in the united states expressly for literary translators', 'it was the first award in the united states expressly for literary translators', 'it was the first award in the united states expressly for literary translators']
[ "there are no classes for adults or fiddle you", "there are night classes for adults or fiddle you", "there are night classes for adults or fiddle year", "there are no costs for adults or fiddle you", "there are my classes for adults or fiddle you" ]
there are night classes for adults offered all year
there are no classes for adults or fiddle you.
there are night classes for adults or fiddle you. there are night classes for adults or fiddle year. there are no costs for adults or fiddle you. there are my classes for adults or fiddle you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['there are no classes for adults or fiddle you', 'there are night classes for adults or fiddle you', 'there are night classes for adults or fiddle year', 'there are no costs for adults or fiddle you', 'there are my classes for adults or fiddle you']
[ "the extent of the county varied over time", "the extent of the county varied over time", "the extent of the county varied over time", "the extent of the county varied over time", "the extent of the county varied over time" ]
the extent of the county varied over time
the extent of the county varied over time.
the extent of the county varied over time. the extent of the county varied over time. the extent of the county varied over time. the extent of the county varied over time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the extent of the county varied over time', 'the extent of the county varied over time', 'the extent of the county varied over time', 'the extent of the county varied over time', 'the extent of the county varied over time']
[ "she afterwards studied classics at berkeley where she won a martial scholarship to cambridge", "she afterwards studies classics at berkeley where she won a martial scholarship to cambridge", "she afterwards studied classics at berkeley where she won a martial scholarship to cambridge", "she afterwards studies classics at berkeley where she won a martial scholarship to cambridge", "she afterwards studies classics at berkeley where she won a march twelve scholarship to cambridge" ]
she afterwards studied classics at berkeley where she won a marshall scholarship to cambridge
she afterwards studied classics at berkeley where she won a martial scholarship to cambridge.
she afterwards studies classics at berkeley where she won a martial scholarship to cambridge. she afterwards studied classics at berkeley where she won a martial scholarship to cambridge. she afterwards studies classics at berkeley where she won a martial scholarship to cambridge. she afterwards studies classics at berkeley where she won a march twelve scholarship to cambridge.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she afterwards studied classics at berkeley where she won a martial scholarship to cambridge', 'she afterwards studies classics at berkeley where she won a martial scholarship to cambridge', 'she afterwards studied classics at berkeley where she won a martial scholarship to cambridge', 'she afterwards studies classics at berkeley where she won a martial scholarship to cambridge', 'she afterwards studies classics at berkeley where she won a march twelve scholarship to cambridge']
[ "disappointed gilbert reveals that your friendship can not satisfy me annie", "disappointed gilbert reveals that your friendship can not satisfy me any", "disappointed gilbert reveals that your friendship can not satisfy me any", "disappointed gilbert reveals that your friendship can not satisfy me and he", "disappointed gilbert reveals that your friendship can not satisfy me annie" ]
disappointed gilbert reveals that your friendship can not satisfy me anne
disappointed gilbert reveals that your friendship can not satisfy me annie.
disappointed gilbert reveals that your friendship can not satisfy me any. disappointed gilbert reveals that your friendship can not satisfy me any. disappointed gilbert reveals that your friendship can not satisfy me and he. disappointed gilbert reveals that your friendship can not satisfy me annie.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['disappointed gilbert reveals that your friendship can not satisfy me annie', 'disappointed gilbert reveals that your friendship can not satisfy me any', 'disappointed gilbert reveals that your friendship can not satisfy me any', 'disappointed gilbert reveals that your friendship can not satisfy me and he', 'disappointed gilbert reveals that your friendship can not satisfy me annie']
[ "the aircraft is flying characteristics were found to be generally satisfactory", "the aircraft is flying characteristics were found to be generally satisfactory", "the aircrafts flying characteristics were found to be generally satisfactory", "the aircrafts flying characteristics were found to be generally satisfactory", "the aircraft is flying characteristics were found to be generally satisfactory" ]
the aircraft is flying characteristics were found to be generally satisfactory
the aircraft is flying characteristics were found to be generally satisfactory.
the aircraft is flying characteristics were found to be generally satisfactory. the aircrafts flying characteristics were found to be generally satisfactory. the aircrafts flying characteristics were found to be generally satisfactory. the aircraft is flying characteristics were found to be generally satisfactory.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the aircraft is flying characteristics were found to be generally satisfactory', 'the aircraft is flying characteristics were found to be generally satisfactory', 'the aircrafts flying characteristics were found to be generally satisfactory', 'the aircrafts flying characteristics were found to be generally satisfactory', 'the aircraft is flying characteristics were found to be generally satisfactory']
[ "i will sign the treaty", "i will sign the treaty", "i will sign the treaty", "i will sign the treaty", "i will sign the treaty" ]
i will sign the treaty
i will sign the treaty.
i will sign the treaty. i will sign the treaty. i will sign the treaty. i will sign the treaty.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['i will sign the treaty', 'i will sign the treaty', 'i will sign the treaty', 'i will sign the treaty', 'i will sign the treaty']
[ "the island is currently experiencing an upswing in chinese birds", "the island is currently experiencing an upswinging chinese birds", "the island is currently experiencing an upswing in chinese words", "the islander is currently experiencing an upswing in chinese birds", "the island is currently experiencing an upswing in shiny spurts" ]
the island is currently experiencing an upswing in chinese births
the island is currently experiencing an upswing in chinese birds.
the island is currently experiencing an upswinging chinese birds. the island is currently experiencing an upswing in chinese words. the islander is currently experiencing an upswing in chinese birds. the island is currently experiencing an upswing in shiny spurts.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the island is currently experiencing an upswing in chinese birds', 'the island is currently experiencing an upswinging chinese birds', 'the island is currently experiencing an upswing in chinese words', 'the islander is currently experiencing an upswing in chinese birds', 'the island is currently experiencing an upswing in shiny spurts']
[ "the key core may also be closed so far from the subject key", "the key cord may also be closed so far from the subject key", "the key core may also be closed too far from the subject key", "the key core may also be close or far from the subject key", "the key core may also be closed or far from the subject key" ]
the key colonel may also be close or far from the subject peak
the key core may also be closed so far from the subject key.
the key cord may also be closed so far from the subject key. the key core may also be closed too far from the subject key. the key core may also be close or far from the subject key. the key core may also be closed or far from the subject key.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the key core may also be closed so far from the subject key', 'the key cord may also be closed so far from the subject key', 'the key core may also be closed too far from the subject key', 'the key core may also be close or far from the subject key', 'the key core may also be closed or far from the subject key']
[ "secondly they purchase the rights of television talent show the x factor", "secondly they purchase the rights of television talent show the x factor", "secondly the purchase the rights of television talent show the x factor", "secondly it porches the rights of television talent show the x factor", "secondly it porches the rights of television talent show the x factor" ]
secondly they purchased the rights of television talent show the x factor
secondly they purchase the rights of television talent show the x factor.
secondly they purchase the rights of television talent show the x factor. secondly the purchase the rights of television talent show the x factor. secondly it porches the rights of television talent show the x factor. secondly it porches the rights of television talent show the x factor.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['secondly they purchase the rights of television talent show the x factor', 'secondly they purchase the rights of television talent show the x factor', 'secondly the purchase the rights of television talent show the x factor', 'secondly it porches the rights of television talent show the x factor', 'secondly it porches the rights of television talent show the x factor']
[ "accordingly one can make meaningful statements about bodies without referring to substances", "accordingly one can make meaningful statements about bodies without referring to substances", "accordingly one can make meaningful statements about bodies without referring to substances", "accordingly one can make meaningful statements about bodies without referring to substances", "accordingly one can make meaningful statements about bodies without referring to substances" ]
accordingly one can make meaningful statements about bodies without referring to substances
accordingly one can make meaningful statements about bodies without referring to substances.
accordingly one can make meaningful statements about bodies without referring to substances. accordingly one can make meaningful statements about bodies without referring to substances. accordingly one can make meaningful statements about bodies without referring to substances. accordingly one can make meaningful statements about bodies without referring to substances.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['accordingly one can make meaningful statements about bodies without referring to substances', 'accordingly one can make meaningful statements about bodies without referring to substances', 'accordingly one can make meaningful statements about bodies without referring to substances', 'accordingly one can make meaningful statements about bodies without referring to substances', 'accordingly one can make meaningful statements about bodies without referring to substances']
[ "he saw director attenborough is aims as more academic and political than dramatic", "he saw director attenborough is aims as more academic and political than dramatic", "he saw director atten burr is aims as more academic and political than dramatic", "he saw the director attenborough is aims as more academic and political than dramatic", "he saw director attenborough is aims as more academic and political than germanic" ]
he saw director attenborough is aims as more academic and political than dramatic
he saw director attenborough is aims as more academic and political than dramatic.
he saw director attenborough is aims as more academic and political than dramatic. he saw director atten burr is aims as more academic and political than dramatic. he saw the director attenborough is aims as more academic and political than dramatic. he saw director attenborough is aims as more academic and political than germanic.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he saw director attenborough is aims as more academic and political than dramatic', 'he saw director attenborough is aims as more academic and political than dramatic', 'he saw director atten burr is aims as more academic and political than dramatic', 'he saw the director attenborough is aims as more academic and political than dramatic', 'he saw director attenborough is aims as more academic and political than germanic']
[ "crosby said that her interest in public affairs has never evaded", "crosby said that her interest in public affairs has never abated", "crosby said that her interest in public affairs has never ebited", "crosby said that her interest in public affairs has never ebated", "crosby said that her interest in public affairs has never ebated" ]
crosby said that her interest in public affairs has never abated
crosby said that her interest in public affairs has never evaded.
crosby said that her interest in public affairs has never abated. crosby said that her interest in public affairs has never ebited. crosby said that her interest in public affairs has never ebated. crosby said that her interest in public affairs has never ebated.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['crosby said that her interest in public affairs has never evaded', 'crosby said that her interest in public affairs has never abated', 'crosby said that her interest in public affairs has never ebited', 'crosby said that her interest in public affairs has never ebated', 'crosby said that her interest in public affairs has never ebated']
[ "the meritorious public service medal is a bronze disk in height and in width", "the meritorious public service metal is a bronze disk in height and in width", "the meritorious public service medal is a bronze disk in height and in width", "the meritorious public service medal is a bronze disk in height and in width", "the meritorious public service metal is a bronze disk in height and in width" ]
the meritorious public service medal is a bronze disk in height and in width
the meritorious public service medal is a bronze disk in height and in width.
the meritorious public service metal is a bronze disk in height and in width. the meritorious public service medal is a bronze disk in height and in width. the meritorious public service medal is a bronze disk in height and in width. the meritorious public service metal is a bronze disk in height and in width.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the meritorious public service medal is a bronze disk in height and in width', 'the meritorious public service metal is a bronze disk in height and in width', 'the meritorious public service medal is a bronze disk in height and in width', 'the meritorious public service medal is a bronze disk in height and in width', 'the meritorious public service metal is a bronze disk in height and in width']
[ "she studied photography at the new england school of photography", "she studied photography at the new england school of photography", "she studied photography at the new england school of photography", "she studied photography at the new england school of photography", "she studied photography at the new england school of photography" ]
she studied photography at the new england school of photography
she studied photography at the new england school of photography.
she studied photography at the new england school of photography. she studied photography at the new england school of photography. she studied photography at the new england school of photography. she studied photography at the new england school of photography.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['she studied photography at the new england school of photography', 'she studied photography at the new england school of photography', 'she studied photography at the new england school of photography', 'she studied photography at the new england school of photography', 'she studied photography at the new england school of photography']
[ "figures in the table are for full face", "fingers in the table are for full face", "figures in the table are for full face", "figures in the table are for full face", "figures in the table are for full phase" ]
figures in the table are for full fares
figures in the table are for full face.
fingers in the table are for full face. figures in the table are for full face. figures in the table are for full face. figures in the table are for full phase.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['figures in the table are for full face', 'fingers in the table are for full face', 'figures in the table are for full face', 'figures in the table are for full face', 'figures in the table are for full phase']
[ "sillurus grandfather was serentonus", "selur is grandfather was serentonus", "celurus grandfather was serentonus", "sillur is grandfather was serentonus", "sillurus grandfather was serentona is" ]
xilouris grandfather was psarantonis
sillurus grandfather was serentonus.
selur is grandfather was serentonus. celurus grandfather was serentonus. sillur is grandfather was serentonus. sillurus grandfather was serentona is.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['sillurus grandfather was serentonus', 'selur is grandfather was serentonus', 'celurus grandfather was serentonus', 'sillur is grandfather was serentonus', 'sillurus grandfather was serentona is']
[ "what happens to those workers for after that", "what happens to those workers for off dead that", "what happens to those workers for off dead debt", "what happens to those workers for off dead debt", "what happens to those workers for after that" ]
what happens to those workers after that
what happens to those workers for after that.
what happens to those workers for off dead that. what happens to those workers for off dead debt. what happens to those workers for off dead debt. what happens to those workers for after that.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['what happens to those workers for after that', 'what happens to those workers for off dead that', 'what happens to those workers for off dead debt', 'what happens to those workers for off dead debt', 'what happens to those workers for after that']
[ "the claim was approved by lord palmerston then secretary of state for foreign affairs", "the claim was approved by lord palmstone then secretary of state for foreign affairs", "the claim was approved by lord palmerston then secretary of state for foreign affairs", "the claim was approved by lord palmston then secretary of state for foreign affairs", "the claim was approved by lord palmstown then secretary of state for foreign affairs" ]
the claim was approved by lord palmerston then secretary of state for foreign affairs
the claim was approved by lord palmerston then secretary of state for foreign affairs.
the claim was approved by lord palmstone then secretary of state for foreign affairs. the claim was approved by lord palmerston then secretary of state for foreign affairs. the claim was approved by lord palmston then secretary of state for foreign affairs. the claim was approved by lord palmstown then secretary of state for foreign affairs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the claim was approved by lord palmerston then secretary of state for foreign affairs', 'the claim was approved by lord palmstone then secretary of state for foreign affairs', 'the claim was approved by lord palmerston then secretary of state for foreign affairs', 'the claim was approved by lord palmston then secretary of state for foreign affairs', 'the claim was approved by lord palmstown then secretary of state for foreign affairs']
[ "the logging system is often simply a personal computer", "the logging system is often simply a personal computer", "the login system is often simply a personal computer", "the logging system is often simply a personal computer", "the logging system is often simply a personal computer" ]
the logging system is often simply a personal computer
the logging system is often simply a personal computer.
the logging system is often simply a personal computer. the login system is often simply a personal computer. the logging system is often simply a personal computer. the logging system is often simply a personal computer.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the logging system is often simply a personal computer', 'the logging system is often simply a personal computer', 'the login system is often simply a personal computer', 'the logging system is often simply a personal computer', 'the logging system is often simply a personal computer']
[ "and some insects it differs by case", "and some insects it differs by taste", "and some insects it differs by cased", "in some insects it differs by case", "and some insects it differs by case" ]
in some insects it differs by caste
and some insects it differs by case.
and some insects it differs by taste. and some insects it differs by cased. in some insects it differs by case. and some insects it differs by case.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['and some insects it differs by case', 'and some insects it differs by taste', 'and some insects it differs by cased', 'in some insects it differs by case', 'and some insects it differs by case']
[ "libre suggested that he and asper make a bid", "leibor suggested that he and asper make a bid", "libra suggested that he and asper make a bid", "libar suggested that he and asper make a bid", "libre suggested that he and asperg make a bid" ]
liba suggested that he and asper make a bid
libre suggested that he and asper make a bid.
leibor suggested that he and asper make a bid. libra suggested that he and asper make a bid. libar suggested that he and asper make a bid. libre suggested that he and asperg make a bid.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['libre suggested that he and asper make a bid', 'leibor suggested that he and asper make a bid', 'libra suggested that he and asper make a bid', 'libar suggested that he and asper make a bid', 'libre suggested that he and asperg make a bid']
[ "it is a grade one listed building in the national heritage list for england", "it is a great one listed building in the national heritage list for england", "it is a grade one listed building in the national heritage list in england", "it is a grade one listed building in the national heritage list for england", "it is a grade one listed building in the national heritage list of england" ]
it is a grade one listed building in the national heritage list for england
it is a grade one listed building in the national heritage list for england.
it is a great one listed building in the national heritage list for england. it is a grade one listed building in the national heritage list in england. it is a grade one listed building in the national heritage list for england. it is a grade one listed building in the national heritage list of england.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is a grade one listed building in the national heritage list for england', 'it is a great one listed building in the national heritage list for england', 'it is a grade one listed building in the national heritage list in england', 'it is a grade one listed building in the national heritage list for england', 'it is a grade one listed building in the national heritage list of england']
[ "alan and brad just resumed their mission", "allen and brad just resumed their mission", "alan and brad just resume their mission", "alan and brad just resumed their mission", "aladdin bride just resumed her mission" ]
allan and brad just resume their mission
alan and brad just resumed their mission.
allen and brad just resumed their mission. alan and brad just resume their mission. alan and brad just resumed their mission. aladdin bride just resumed her mission.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['alan and brad just resumed their mission', 'allen and brad just resumed their mission', 'alan and brad just resume their mission', 'alan and brad just resumed their mission', 'aladdin bride just resumed her mission']
[ "preferably around the table", "preferably around a table", "preferably around a table", "preferably around the table", "preferably around the table" ]
preferably around a table
preferably around the table.
preferably around a table. preferably around a table. preferably around the table. preferably around the table.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['preferably around the table', 'preferably around a table', 'preferably around a table', 'preferably around the table', 'preferably around the table']
[ "the stream of accusation jailing and confessions continued", "the stream of accusation jailing and confessions continued", "the stream of accusation jailing and confessions continued", "the stream of accusation jailing and confessions continued", "the stream of accusation jailing and confessions continued" ]
the stream of accusation jailing and confessions continued
the stream of accusation jailing and confessions continued.
the stream of accusation jailing and confessions continued. the stream of accusation jailing and confessions continued. the stream of accusation jailing and confessions continued. the stream of accusation jailing and confessions continued.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the stream of accusation jailing and confessions continued', 'the stream of accusation jailing and confessions continued', 'the stream of accusation jailing and confessions continued', 'the stream of accusation jailing and confessions continued', 'the stream of accusation jailing and confessions continued']
[ "two or more broods are produced each year", "two or more breads are produced each year", "two or more broods are produced each year", "two or more breads are produced each year", "two or more brutes are produced each year" ]
two or more broods are produced each year
two or more broods are produced each year.
two or more breads are produced each year. two or more broods are produced each year. two or more breads are produced each year. two or more brutes are produced each year.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['two or more broods are produced each year', 'two or more breads are produced each year', 'two or more broods are produced each year', 'two or more breads are produced each year', 'two or more brutes are produced each year']
[ "the name has since become popular in england scotland and ireland", "the name has since become popular in england scotland and ireland", "the name has since become popular in england scotland and ireland", "the name has since become popular in england scotland and ireland", "the name has since become popular in england scotland and ireland" ]
the name has since become popular in england scotland and ireland
the name has since become popular in england scotland and ireland.
the name has since become popular in england scotland and ireland. the name has since become popular in england scotland and ireland. the name has since become popular in england scotland and ireland. the name has since become popular in england scotland and ireland.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name has since become popular in england scotland and ireland', 'the name has since become popular in england scotland and ireland', 'the name has since become popular in england scotland and ireland', 'the name has since become popular in england scotland and ireland', 'the name has since become popular in england scotland and ireland']
[ "the usp regimen does not protect against sexually transmitted diseases", "the usb regimen does not protect against sexually transmitted diseases", "the use p regimen does not protect against sexually transmitted diseases", "the use p regimen does not protect against sexually transmitted diseases", "the usp regimen does not protect the against sexually transmitted diseases" ]
the yuzpe regimen does not protect against sexually transmitted diseases
the usp regimen does not protect against sexually transmitted diseases.
the usb regimen does not protect against sexually transmitted diseases. the use p regimen does not protect against sexually transmitted diseases. the use p regimen does not protect against sexually transmitted diseases. the usp regimen does not protect the against sexually transmitted diseases.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the usp regimen does not protect against sexually transmitted diseases', 'the usb regimen does not protect against sexually transmitted diseases', 'the use p regimen does not protect against sexually transmitted diseases', 'the use p regimen does not protect against sexually transmitted diseases', 'the usp regimen does not protect the against sexually transmitted diseases']
[ "the copet fiddle laid the copet but forgot the underlay", "the cockpit fitter laid the cockpit but forgot the underlay", "the carpet fitter laid the carpet but forgot the underlay", "the carpet fiddle laid the carpet but forgot the underlay", "the copet fiddle laid the copet but forgot the underlay" ]
the carpet fitter laid the carpet but forgot the underlay
the copet fiddle laid the copet but forgot the underlay.
the cockpit fitter laid the cockpit but forgot the underlay. the carpet fitter laid the carpet but forgot the underlay. the carpet fiddle laid the carpet but forgot the underlay. the copet fiddle laid the copet but forgot the underlay.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the copet fiddle laid the copet but forgot the underlay', 'the cockpit fitter laid the cockpit but forgot the underlay', 'the carpet fitter laid the carpet but forgot the underlay', 'the carpet fiddle laid the carpet but forgot the underlay', 'the copet fiddle laid the copet but forgot the underlay']
[ "part of the route is designated by a nevada scenic highway", "part of the route is designated by nevada scenic highway", "part of the route is designated by nevada scenic broway", "part of the route is designated by nevada scenic brighway", "part of the route is designated by nevada scenic highway" ]
part of the route is designated as a nevada scenic byway
part of the route is designated by a nevada scenic highway.
part of the route is designated by nevada scenic highway. part of the route is designated by nevada scenic broway. part of the route is designated by nevada scenic brighway. part of the route is designated by nevada scenic highway.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['part of the route is designated by a nevada scenic highway', 'part of the route is designated by nevada scenic highway', 'part of the route is designated by nevada scenic broway', 'part of the route is designated by nevada scenic brighway', 'part of the route is designated by nevada scenic highway']
[ "extract the relevant data and see if it matches our statistics", "extract the relevant data and see if it matches our statistics", "extract the relevant data and see if it matches our statistics", "extract the relevant data and see if it matches our statistics", "extract the relevant data and see if it matches our statistics" ]
extract the relevant data and see if it matches our statistics
extract the relevant data and see if it matches our statistics.
extract the relevant data and see if it matches our statistics. extract the relevant data and see if it matches our statistics. extract the relevant data and see if it matches our statistics. extract the relevant data and see if it matches our statistics.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['extract the relevant data and see if it matches our statistics', 'extract the relevant data and see if it matches our statistics', 'extract the relevant data and see if it matches our statistics', 'extract the relevant data and see if it matches our statistics', 'extract the relevant data and see if it matches our statistics']
[ "mctowns vidmont park is a popular venue for cultural festivals in atlanta", "mctowns vidmont park is a popular venue for cultural festivals at atlanta", "mctowns vidmont park is a popular venue for cultural festivals in atlanta", "mctowns vidmont park is a popular venue for cultural festivals at atlanta", "mctowns vidmont park is a popular venue for cultural festivals in atlanta" ]
midtown is piedmont park is a popular venue for cultural festivals in atlanta
mctowns vidmont park is a popular venue for cultural festivals in atlanta.
mctowns vidmont park is a popular venue for cultural festivals at atlanta. mctowns vidmont park is a popular venue for cultural festivals in atlanta. mctowns vidmont park is a popular venue for cultural festivals at atlanta. mctowns vidmont park is a popular venue for cultural festivals in atlanta.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['mctowns vidmont park is a popular venue for cultural festivals in atlanta', 'mctowns vidmont park is a popular venue for cultural festivals at atlanta', 'mctowns vidmont park is a popular venue for cultural festivals in atlanta', 'mctowns vidmont park is a popular venue for cultural festivals at atlanta', 'mctowns vidmont park is a popular venue for cultural festivals in atlanta']
[ "where clotting cream is not available whipped cream is sometimes used as a substitute", "where clotting cream is not available whipped cream is sometimes used as a substitute", "where clotting cream is not available whipped cream is sometimes used as a substitute", "where clotting cream is not available with cream is sometimes used as a substitute", "where clotted cream is not available whipped cream is sometimes used as a substitute" ]
where clotted cream is not available whipped cream is sometimes used as a substitute
where clotting cream is not available whipped cream is sometimes used as a substitute.
where clotting cream is not available whipped cream is sometimes used as a substitute. where clotting cream is not available whipped cream is sometimes used as a substitute. where clotting cream is not available with cream is sometimes used as a substitute. where clotted cream is not available whipped cream is sometimes used as a substitute.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['where clotting cream is not available whipped cream is sometimes used as a substitute', 'where clotting cream is not available whipped cream is sometimes used as a substitute', 'where clotting cream is not available whipped cream is sometimes used as a substitute', 'where clotting cream is not available with cream is sometimes used as a substitute', 'where clotted cream is not available whipped cream is sometimes used as a substitute']
[ "motherhood admired his warm heart for his wise year", "motherhood admired his warm heart for that he is wise here", "motherhood admired his warm heart for that his wise year", "motherhood admired his warm heart for that his wise friend", "motherhood admired his warm heart for that his wise ear" ]
mother would admire his warm heart father his wise head
motherhood admired his warm heart for his wise year.
motherhood admired his warm heart for that he is wise here. motherhood admired his warm heart for that his wise year. motherhood admired his warm heart for that his wise friend. motherhood admired his warm heart for that his wise ear.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['motherhood admired his warm heart for his wise year', 'motherhood admired his warm heart for that he is wise here', 'motherhood admired his warm heart for that his wise year', 'motherhood admired his warm heart for that his wise friend', 'motherhood admired his warm heart for that his wise ear']
[ "the salt is a reagent in organics and diseases", "this solve is a reagent in organics synthesis", "this all is a reagent in organics synthesis", "the solve is a reagent in organics synthesis", "the solve is a reagent in organics and diseases" ]
the salt is a reagent in organic synthesis
the salt is a reagent in organics and diseases.
this solve is a reagent in organics synthesis. this all is a reagent in organics synthesis. the solve is a reagent in organics synthesis. the solve is a reagent in organics and diseases.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the salt is a reagent in organics and diseases', 'this solve is a reagent in organics synthesis', 'this all is a reagent in organics synthesis', 'the solve is a reagent in organics synthesis', 'the solve is a reagent in organics and diseases']
[ "the event is run annually in mid december at chartin racecourse", "the event is run annually in mid december at charlton racecourse", "the event is run annually in mid december at shotin racecourse", "the event is run annually in mid december at charting racecourse", "the event is run annually in mid december at shartin racecourse" ]
the event is run annually in mid december at sha tin racecourse
the event is run annually in mid december at chartin racecourse.
the event is run annually in mid december at charlton racecourse. the event is run annually in mid december at shotin racecourse. the event is run annually in mid december at charting racecourse. the event is run annually in mid december at shartin racecourse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the event is run annually in mid december at chartin racecourse', 'the event is run annually in mid december at charlton racecourse', 'the event is run annually in mid december at shotin racecourse', 'the event is run annually in mid december at charting racecourse', 'the event is run annually in mid december at shartin racecourse']
[ "homer is resistant to accept but mister burns forces him into it", "homer is resistant to accept but mister burns forces him into it", "homer is resistant to accept but mister burns forces him into it", "homer is persistent to accept but mister burns forces him into it", "homer is hesitant to accept but mister burns forces him into it" ]
homer is hesitant to accept but mister burns forces him into it
homer is resistant to accept but mister burns forces him into it.
homer is resistant to accept but mister burns forces him into it. homer is resistant to accept but mister burns forces him into it. homer is persistent to accept but mister burns forces him into it. homer is hesitant to accept but mister burns forces him into it.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['homer is resistant to accept but mister burns forces him into it', 'homer is resistant to accept but mister burns forces him into it', 'homer is resistant to accept but mister burns forces him into it', 'homer is persistent to accept but mister burns forces him into it', 'homer is hesitant to accept but mister burns forces him into it']
[ "this is not a site to mock rabbits or demonstrate animal abuse", "this is not a site to mock rabbits or demonstrate enamel abuse", "this is not a site to mock rabbits or demonstrate animal abuse", "this is not a site to mock rabbits or demonstrate animal abuse", "this is not a site to mock rabbits or demonstrate animal abuse" ]
this is not a site to mock rabbits or demonstrate animal abuse
this is not a site to mock rabbits or demonstrate animal abuse.
this is not a site to mock rabbits or demonstrate enamel abuse. this is not a site to mock rabbits or demonstrate animal abuse. this is not a site to mock rabbits or demonstrate animal abuse. this is not a site to mock rabbits or demonstrate animal abuse.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is not a site to mock rabbits or demonstrate animal abuse', 'this is not a site to mock rabbits or demonstrate enamel abuse', 'this is not a site to mock rabbits or demonstrate animal abuse', 'this is not a site to mock rabbits or demonstrate animal abuse', 'this is not a site to mock rabbits or demonstrate animal abuse']
[ "it is entirely your prerogative", "it is entirely your prerokative", "it is entirely your prerocative", "it is entirely your prerogative", "it is entirely your prerocative" ]
it is entirely your prerogative
it is entirely your prerogative.
it is entirely your prerokative. it is entirely your prerocative. it is entirely your prerogative. it is entirely your prerocative.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it is entirely your prerogative', 'it is entirely your prerokative', 'it is entirely your prerocative', 'it is entirely your prerogative', 'it is entirely your prerocative']
[ "the corrections divisions has its offices in gibson hall", "the corrections division has its offices in gibson hall", "the corrections division has its offices in gibson hall", "the corrections divisions has its offices in gibbs and hall", "the corrections division has its offices in gibson hall" ]
the corrections divisions has its offices in gibson hall
the corrections divisions has its offices in gibson hall.
the corrections division has its offices in gibson hall. the corrections division has its offices in gibson hall. the corrections divisions has its offices in gibbs and hall. the corrections division has its offices in gibson hall.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the corrections divisions has its offices in gibson hall', 'the corrections division has its offices in gibson hall', 'the corrections division has its offices in gibson hall', 'the corrections divisions has its offices in gibbs and hall', 'the corrections division has its offices in gibson hall']
[ "the second is to get handguns registered", "the second is to get han gunn is registered", "the second is to get handguns registered", "the second is to get handguns registered", "the second is to get handguns registered" ]
the second is to get handguns registered
the second is to get handguns registered.
the second is to get han gunn is registered. the second is to get handguns registered. the second is to get handguns registered. the second is to get handguns registered.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the second is to get handguns registered', 'the second is to get han gunn is registered', 'the second is to get handguns registered', 'the second is to get handguns registered', 'the second is to get handguns registered']
[ "these statistics are generally typical for military bases", "these statistics are generally typical for military bases", "these statistics are generally typical for military bases", "these statistics are generally typical for military bases", "these statistics are generally typical for military bases" ]
these statistics are generally typical for military bases
these statistics are generally typical for military bases.
these statistics are generally typical for military bases. these statistics are generally typical for military bases. these statistics are generally typical for military bases. these statistics are generally typical for military bases.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['these statistics are generally typical for military bases', 'these statistics are generally typical for military bases', 'these statistics are generally typical for military bases', 'these statistics are generally typical for military bases', 'these statistics are generally typical for military bases']
[ "it rises near the mataspa a famous hill station in western guests", "it rises near the mara spa a famous hill station in western guests", "it rises near the mataspa a famous hill station in the western guests", "it rises near the maraspoir a famous hill station in western guests", "it rises near the maraspa a famous hill station in western guests" ]
it rises near mahableshwar a famous hill station in the western ghats
it rises near the mataspa a famous hill station in western guests.
it rises near the mara spa a famous hill station in western guests. it rises near the mataspa a famous hill station in the western guests. it rises near the maraspoir a famous hill station in western guests. it rises near the maraspa a famous hill station in western guests.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it rises near the mataspa a famous hill station in western guests', 'it rises near the mara spa a famous hill station in western guests', 'it rises near the mataspa a famous hill station in the western guests', 'it rises near the maraspoir a famous hill station in western guests', 'it rises near the maraspa a famous hill station in western guests']
[ "all services were subsidized by mercy travel", "all services were subsidized by mercy travel", "all services were subsidized by mercytravel", "ours services were subsidized by mercy travel", "all services were subsidized by mercy trouble" ]
all services were subsidized by merseytravel
all services were subsidized by mercy travel.
all services were subsidized by mercy travel. all services were subsidized by mercytravel. ours services were subsidized by mercy travel. all services were subsidized by mercy trouble.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['all services were subsidized by mercy travel', 'all services were subsidized by mercy travel', 'all services were subsidized by mercytravel', 'ours services were subsidized by mercy travel', 'all services were subsidized by mercy trouble']
[ "the fidget moment now sees the public is curiosity", "the fiji moment now sees the public is curiosity", "the fidget moment now sees the public curiosity", "the fidgety moment now sees the public is curiosity", "the fiji mermaid now sees the public is curiosity" ]
the fiji mermaid now seized the public is curiosity
the fidget moment now sees the public is curiosity.
the fiji moment now sees the public is curiosity. the fidget moment now sees the public curiosity. the fidgety moment now sees the public is curiosity. the fiji mermaid now sees the public is curiosity.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the fidget moment now sees the public is curiosity', 'the fiji moment now sees the public is curiosity', 'the fidget moment now sees the public curiosity', 'the fidgety moment now sees the public is curiosity', 'the fiji mermaid now sees the public is curiosity']
[ "gym is made up of a variety of short comics text pieces and artwork", "jim is made up of a variety of short comics text pieces and artwork", "gym is made up of a variety of short combs text pieces and artwork", "jim is made a performer with a variety of short comics text pieces and artwork", "jim is made up of a variety of short comics text pieces and artwork" ]
jim is made up of a variety of short comics text pieces and artwork
gym is made up of a variety of short comics text pieces and artwork.
jim is made up of a variety of short comics text pieces and artwork. gym is made up of a variety of short combs text pieces and artwork. jim is made a performer with a variety of short comics text pieces and artwork. jim is made up of a variety of short comics text pieces and artwork.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['gym is made up of a variety of short comics text pieces and artwork', 'jim is made up of a variety of short comics text pieces and artwork', 'gym is made up of a variety of short combs text pieces and artwork', 'jim is made a performer with a variety of short comics text pieces and artwork', 'jim is made up of a variety of short comics text pieces and artwork']
[ "the name is recorded as yotardini in classical sources", "the name is recorded as yotardini in classical sources", "the name is recorded as yotardini in classical sources", "the name is recorded as yotardini in classical sources", "the name is recorded as yotardini in classical sources" ]
the name is recorded as votadini in classical sources
the name is recorded as yotardini in classical sources.
the name is recorded as yotardini in classical sources. the name is recorded as yotardini in classical sources. the name is recorded as yotardini in classical sources. the name is recorded as yotardini in classical sources.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the name is recorded as yotardini in classical sources', 'the name is recorded as yotardini in classical sources', 'the name is recorded as yotardini in classical sources', 'the name is recorded as yotardini in classical sources', 'the name is recorded as yotardini in classical sources']
[ "after a successful playing career your return to dunbarton is player coach", "after a successful playing career your return to dunbaton is player coach", "after a successful playing career your return to dumbarton is player coach", "after a successful playing career your return to dunbarton has played a coach", "after a successful playing career your return to dunbartons is player coach" ]
after a successful playing career he returned to dumbarton as player coach
after a successful playing career your return to dunbarton is player coach.
after a successful playing career your return to dunbaton is player coach. after a successful playing career your return to dumbarton is player coach. after a successful playing career your return to dunbarton has played a coach. after a successful playing career your return to dunbartons is player coach.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['after a successful playing career your return to dunbarton is player coach', 'after a successful playing career your return to dunbaton is player coach', 'after a successful playing career your return to dumbarton is player coach', 'after a successful playing career your return to dunbarton has played a coach', 'after a successful playing career your return to dunbartons is player coach']
[ "it was considered a model facility at the time", "it was considered a model facilitating at the time", "it was considered a model facility at the time", "it was considered a model facility at the time", "it was considered a model facility at the time" ]
it was considered a model facility at the time
it was considered a model facility at the time.
it was considered a model facilitating at the time. it was considered a model facility at the time. it was considered a model facility at the time. it was considered a model facility at the time.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was considered a model facility at the time', 'it was considered a model facilitating at the time', 'it was considered a model facility at the time', 'it was considered a model facility at the time', 'it was considered a model facility at the time']
[ "catherine hitchcock the chief engineer and third in command of the high tech submarine", "katherine hitchcock the chief engineer and third in command of the high tech submarine", "catherine hitchcock the chief engineer and thirding command of the high tech submarine", "catherine hitchcock the chief engineer and third in command of the high tech submarine", "catherine hitchcock the chief engineer and third in command of the high tech submarine" ]
katherine hitchcock the chief engineer and third in command of the high tech submarine
catherine hitchcock the chief engineer and third in command of the high tech submarine.
katherine hitchcock the chief engineer and third in command of the high tech submarine. catherine hitchcock the chief engineer and thirding command of the high tech submarine. catherine hitchcock the chief engineer and third in command of the high tech submarine. catherine hitchcock the chief engineer and third in command of the high tech submarine.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['catherine hitchcock the chief engineer and third in command of the high tech submarine', 'katherine hitchcock the chief engineer and third in command of the high tech submarine', 'catherine hitchcock the chief engineer and thirding command of the high tech submarine', 'catherine hitchcock the chief engineer and third in command of the high tech submarine', 'catherine hitchcock the chief engineer and third in command of the high tech submarine']
[ "this small army led by colonel pughmont was not able to seriously threaten hasbroke is supremacy", "this small army led by colonel pewmont was not able to seriously threaten hasbroke is supremacy", "this small army led by colonel pughmont was not able to seriously threaten hasbroke supremacy", "this small army led by colonel pewmont was not able to seriously threaten hasbroke supremacy", "this small army led by colonel pughmont was not able to seriously threaten hasburg supremacy" ]
this small army led by colonel beaumont was not able to seriously threaten habsburg supremacy
this small army led by colonel pughmont was not able to seriously threaten hasbroke is supremacy.
this small army led by colonel pewmont was not able to seriously threaten hasbroke is supremacy. this small army led by colonel pughmont was not able to seriously threaten hasbroke supremacy. this small army led by colonel pewmont was not able to seriously threaten hasbroke supremacy. this small army led by colonel pughmont was not able to seriously threaten hasburg supremacy.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this small army led by colonel pughmont was not able to seriously threaten hasbroke is supremacy', 'this small army led by colonel pewmont was not able to seriously threaten hasbroke is supremacy', 'this small army led by colonel pughmont was not able to seriously threaten hasbroke supremacy', 'this small army led by colonel pewmont was not able to seriously threaten hasbroke supremacy', 'this small army led by colonel pughmont was not able to seriously threaten hasburg supremacy']
[ "the latest tenure however are likely of great coaching", "the latest tournament however are likely of great coaching", "the latest tonya however are likely of great coaching", "the latest tenure however are likely of great coaching", "the latest tonya however are likely of great coaching" ]
the lectisternia however are likely of greek origin
the latest tenure however are likely of great coaching.
the latest tournament however are likely of great coaching. the latest tonya however are likely of great coaching. the latest tenure however are likely of great coaching. the latest tonya however are likely of great coaching.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the latest tenure however are likely of great coaching', 'the latest tournament however are likely of great coaching', 'the latest tonya however are likely of great coaching', 'the latest tenure however are likely of great coaching', 'the latest tonya however are likely of great coaching']
[ "the castle still belongs to the armstrong family and is open to the public", "the castle still belongs to the armstrong family and is open to the public", "the castle still belongs to the armstrong family and is open to the public", "the castle still belongs to the armstrong family and is open to the public", "the castle still belongs to the armstrong family and is open to the public" ]
the castle still belongs to the armstrong family and is opened to the public
the castle still belongs to the armstrong family and is open to the public.
the castle still belongs to the armstrong family and is open to the public. the castle still belongs to the armstrong family and is open to the public. the castle still belongs to the armstrong family and is open to the public. the castle still belongs to the armstrong family and is open to the public.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the castle still belongs to the armstrong family and is open to the public', 'the castle still belongs to the armstrong family and is open to the public', 'the castle still belongs to the armstrong family and is open to the public', 'the castle still belongs to the armstrong family and is open to the public', 'the castle still belongs to the armstrong family and is open to the public']
[ "wonders design consisted of six main buildings and three smaller scientific labs", "wonders design consisted of six main buildings and three smaller scientific labs", "wonders designed consisted of six main buildings and three smaller scientific labs", "wonders designed consisted of six main buildings and three smaller scientific labs", "wonders designed consisted of six main buildings and three smaller scientific labs" ]
ponder is design consisted of six main buildings and three smaller scientific labs
wonders design consisted of six main buildings and three smaller scientific labs.
wonders design consisted of six main buildings and three smaller scientific labs. wonders designed consisted of six main buildings and three smaller scientific labs. wonders designed consisted of six main buildings and three smaller scientific labs. wonders designed consisted of six main buildings and three smaller scientific labs.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['wonders design consisted of six main buildings and three smaller scientific labs', 'wonders design consisted of six main buildings and three smaller scientific labs', 'wonders designed consisted of six main buildings and three smaller scientific labs', 'wonders designed consisted of six main buildings and three smaller scientific labs', 'wonders designed consisted of six main buildings and three smaller scientific labs']
[ "in as a big genie language the river name is araz", "in as a big genie language the river name is arraz", "in as a big genie language the river name is araz", "in as a big genie language the river name is araz", "in as a big genie language the river name is arraz" ]
in azerbaijani language the river name is araz
in as a big genie language the river name is araz.
in as a big genie language the river name is arraz. in as a big genie language the river name is araz. in as a big genie language the river name is araz. in as a big genie language the river name is arraz.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['in as a big genie language the river name is araz', 'in as a big genie language the river name is arraz', 'in as a big genie language the river name is araz', 'in as a big genie language the river name is araz', 'in as a big genie language the river name is arraz']
[ "he also edited collections of fiction and non fiction", "he also edited collections of fiction and nonfiction", "he also edited collections of fiction and nonfiction", "he also edited collections of fiction and non fiction", "he also edited collections of fiction and nonfiction" ]
he also edited collections of fiction and non fiction
he also edited collections of fiction and non fiction.
he also edited collections of fiction and nonfiction. he also edited collections of fiction and nonfiction. he also edited collections of fiction and non fiction. he also edited collections of fiction and nonfiction.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he also edited collections of fiction and non fiction', 'he also edited collections of fiction and nonfiction', 'he also edited collections of fiction and nonfiction', 'he also edited collections of fiction and non fiction', 'he also edited collections of fiction and nonfiction']
[ "white was elected as a republican to the forty-nineth congress", "white was elected as a republican to the forty-nineth congress", "white was elected as a republican to the forty-nineth congress", "white was elected as a republican to the forty-nineth congress", "white was elected as a republican to the forty-nineth congress" ]
white was elected as a republican to the forty ninth congress
white was elected as a republican to the forty-nineth congress.
white was elected as a republican to the forty-nineth congress. white was elected as a republican to the forty-nineth congress. white was elected as a republican to the forty-nineth congress. white was elected as a republican to the forty-nineth congress.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['white was elected as a republican to the forty-nineth congress', 'white was elected as a republican to the forty-nineth congress', 'white was elected as a republican to the forty-nineth congress', 'white was elected as a republican to the forty-nineth congress', 'white was elected as a republican to the forty-nineth congress']
[ "he returned for concert tours in subsequent years", "he returned for concert tours in subsequent years", "he returned for concert tours in subsequent years", "he returned for concert tours in subsequent years", "he returned for concert tours in subsequent years" ]
he returned for concert tours in subsequent years
he returned for concert tours in subsequent years.
he returned for concert tours in subsequent years. he returned for concert tours in subsequent years. he returned for concert tours in subsequent years. he returned for concert tours in subsequent years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he returned for concert tours in subsequent years', 'he returned for concert tours in subsequent years', 'he returned for concert tours in subsequent years', 'he returned for concert tours in subsequent years', 'he returned for concert tours in subsequent years']
[ "they have also marketed numerous chips such as a limited edition mardi graschip", "they have also marketed numerous chips such as a limited edition mardi gras chip", "they have also marketed numerous chips such as limited edition mardi graschip", "they have also marketed numerous chips such as limited edition mardi graschip", "they have also marketed numerous chips such as a limited edition mardi gras chip" ]
they have also marketed numerous chips such as a limited edition mardi gras chip
they have also marketed numerous chips such as a limited edition mardi graschip.
they have also marketed numerous chips such as a limited edition mardi gras chip. they have also marketed numerous chips such as limited edition mardi graschip. they have also marketed numerous chips such as limited edition mardi graschip. they have also marketed numerous chips such as a limited edition mardi gras chip.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['they have also marketed numerous chips such as a limited edition mardi graschip', 'they have also marketed numerous chips such as a limited edition mardi gras chip', 'they have also marketed numerous chips such as limited edition mardi graschip', 'they have also marketed numerous chips such as limited edition mardi graschip', 'they have also marketed numerous chips such as a limited edition mardi gras chip']
[ "later scouting was open to the burmese", "later scouting was open to the burmese", "later scouting was open to the burmese", "later scouting was opened to the burmese", "later scouting was open to the burmese" ]
later scouting was opened to the burmese
later scouting was open to the burmese.
later scouting was open to the burmese. later scouting was open to the burmese. later scouting was opened to the burmese. later scouting was open to the burmese.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['later scouting was open to the burmese', 'later scouting was open to the burmese', 'later scouting was open to the burmese', 'later scouting was opened to the burmese', 'later scouting was open to the burmese']
[ "on the other hand the neighborhood has a relative lack of pox and squares", "on the other hand the neighborhood has a relative lack of parks and squares", "on the other hand the neighborhood has a relative lack of pocks and squares", "on the other hand the neighborhood has a relative lack of pox and squares", "on the other hand the neighborhood has a relative lack of pox and squares" ]
on the other hand the neighborhood has a relative lack of parks and squares
on the other hand the neighborhood has a relative lack of pox and squares.
on the other hand the neighborhood has a relative lack of parks and squares. on the other hand the neighborhood has a relative lack of pocks and squares. on the other hand the neighborhood has a relative lack of pox and squares. on the other hand the neighborhood has a relative lack of pox and squares.
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 the neighborhood has a relative lack of pox and squares', 'on the other hand the neighborhood has a relative lack of parks and squares', 'on the other hand the neighborhood has a relative lack of pocks and squares', 'on the other hand the neighborhood has a relative lack of pox and squares', 'on the other hand the neighborhood has a relative lack of pox and squares']
[ "the reaction is most successful when r is aliphatic and inert", "the reaction is most successful when r is aliphatic and inert", "the reaction is most successful when r is aliphatic and inert", "the reaction is more successful when r is aliphatic and inert", "the reaction is the most successful when r is aliphatic and inert" ]
the reaction is most successful when r is aliphatic and inert
the reaction is most successful when r is aliphatic and inert.
the reaction is most successful when r is aliphatic and inert. the reaction is most successful when r is aliphatic and inert. the reaction is more successful when r is aliphatic and inert. the reaction is the most successful when r is aliphatic and inert.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the reaction is most successful when r is aliphatic and inert', 'the reaction is most successful when r is aliphatic and inert', 'the reaction is most successful when r is aliphatic and inert', 'the reaction is more successful when r is aliphatic and inert', 'the reaction is the most successful when r is aliphatic and inert']
[ "this is a big part of why offensive lineman justin boran left the team", "this is a big part of why offensive lineman justin boren left the team", "this is a big part of why offensive lineman justin boron left the team", "this is a big part of why offensive lineman justin borin left the team", "this is a big part of why offensive lineman justin bohren left the team" ]
this is a big part of why offensive lineman justin boren left the team
this is a big part of why offensive lineman justin boran left the team.
this is a big part of why offensive lineman justin boren left the team. this is a big part of why offensive lineman justin boron left the team. this is a big part of why offensive lineman justin borin left the team. this is a big part of why offensive lineman justin bohren left the team.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this is a big part of why offensive lineman justin boran left the team', 'this is a big part of why offensive lineman justin boren left the team', 'this is a big part of why offensive lineman justin boron left the team', 'this is a big part of why offensive lineman justin borin left the team', 'this is a big part of why offensive lineman justin bohren left the team']
[ "let us line up towards with thomson the following two years", "let us line up towards with thompson the following two years", "let us line up toward with thomson the following two years", "let us line up toward with thompson the following two years", "this line up towards with thomson the following two years" ]
this line up toured with thompson the following two years
let us line up towards with thomson the following two years.
let us line up towards with thompson the following two years. let us line up toward with thomson the following two years. let us line up toward with thompson the following two years. this line up towards with thomson the following two years.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['let us line up towards with thomson the following two years', 'let us line up towards with thompson the following two years', 'let us line up toward with thomson the following two years', 'let us line up toward with thompson the following two years', 'this line up towards with thomson the following two years']
[ "the main high density area close to the town is wengare township", "the main high density area close to the town is wenger township", "the main high density area close to the town is wenger township", "the main high density area close to the town is wengeretownship", "the main high density area close to the town is wengare township" ]
the main high density area close to the town is vengere township
the main high density area close to the town is wengare township.
the main high density area close to the town is wenger township. the main high density area close to the town is wenger township. the main high density area close to the town is wengeretownship. the main high density area close to the town is wengare township.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the main high density area close to the town is wengare township', 'the main high density area close to the town is wenger township', 'the main high density area close to the town is wenger township', 'the main high density area close to the town is wengeretownship', 'the main high density area close to the town is wengare township']
[ "their time spent in prison was hardly difficult", "their time spent imprisonment was hardly difficult", "their time spent in imprisonment was hardly difficult", "their time spent in prisonment was hardly difficult", "their time spent in prison meant was hardly difficult" ]
their time spent in imprisonment was hardly difficult
their time spent in prison was hardly difficult.
their time spent imprisonment was hardly difficult. their time spent in imprisonment was hardly difficult. their time spent in prisonment was hardly difficult. their time spent in prison meant was hardly difficult.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['their time spent in prison was hardly difficult', 'their time spent imprisonment was hardly difficult', 'their time spent in imprisonment was hardly difficult', 'their time spent in prisonment was hardly difficult', 'their time spent in prison meant was hardly difficult']
[ "a small local attraction is the hemlock stone in staplesford", "a small local attraction is the hemlock stone in staple food", "a small local attraction is the hemlockstone in staplesford", "a small local attraction is the hemlock stone in stapleford", "a small local attraction is the hemlockstone in staplesford" ]
a small local attraction is the hemlock stone in stapleford
a small local attraction is the hemlock stone in staplesford.
a small local attraction is the hemlock stone in staple food. a small local attraction is the hemlockstone in staplesford. a small local attraction is the hemlock stone in stapleford. a small local attraction is the hemlockstone in staplesford.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a small local attraction is the hemlock stone in staplesford', 'a small local attraction is the hemlock stone in staple food', 'a small local attraction is the hemlockstone in staplesford', 'a small local attraction is the hemlock stone in stapleford', 'a small local attraction is the hemlockstone in staplesford']
[ "he was champion of the first abu dhabi international triathlon", "he was champion of the first abu dhabi international tri talon", "it was champion of the first abu dhabi international triathlon", "he was champion of the first abu dhabi international tri thalon", "it was champion of the first abu dhabi international tri talon" ]
he was champion of the first abu dhabi international triathlon
he was champion of the first abu dhabi international triathlon.
he was champion of the first abu dhabi international tri talon. it was champion of the first abu dhabi international triathlon. he was champion of the first abu dhabi international tri thalon. it was champion of the first abu dhabi international tri talon.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was champion of the first abu dhabi international triathlon', 'he was champion of the first abu dhabi international tri talon', 'it was champion of the first abu dhabi international triathlon', 'he was champion of the first abu dhabi international tri thalon', 'it was champion of the first abu dhabi international tri talon']
[ "the dutch is one of the duke of crane registration six court params", "the dutch is one of the duke of claim registration six court params", "the dutch is one of the duke of crane registration six court parents", "the dutch is one of the duke of train registration six court params", "the dutch is one of the duke of cain registration six court params" ]
the duchess is one of the duke of cambridge is six godparents
the dutch is one of the duke of crane registration six court params.
the dutch is one of the duke of claim registration six court params. the dutch is one of the duke of crane registration six court parents. the dutch is one of the duke of train registration six court params. the dutch is one of the duke of cain registration six court params.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the dutch is one of the duke of crane registration six court params', 'the dutch is one of the duke of claim registration six court params', 'the dutch is one of the duke of crane registration six court parents', 'the dutch is one of the duke of train registration six court params', 'the dutch is one of the duke of cain registration six court params']
[ "the next scene shows floyd already seated in a chair", "the next scene shows floyd already seated in a chair", "the next scene shows floyd already ceded in a chair", "the next scene shows floyd already ceded in a chair", "the next scene shows floyd already ceded in a chair" ]
the next scene shows floyd already seated in a chair
the next scene shows floyd already seated in a chair.
the next scene shows floyd already seated in a chair. the next scene shows floyd already ceded in a chair. the next scene shows floyd already ceded in a chair. the next scene shows floyd already ceded in a chair.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the next scene shows floyd already seated in a chair', 'the next scene shows floyd already seated in a chair', 'the next scene shows floyd already ceded in a chair', 'the next scene shows floyd already ceded in a chair', 'the next scene shows floyd already ceded in a chair']
[ "various nodes outlast became interested in the store including skynose", "various nodes outlast became interested in the store including skynos", "where is news outlast became interested in the story including sky news", "where is news outlast became interested in the story including sky news", "where is news outlast became interested in the store including sky news" ]
various news outlets became interested in the story including sky news
various nodes outlast became interested in the store including skynose.
various nodes outlast became interested in the store including skynos. where is news outlast became interested in the story including sky news. where is news outlast became interested in the story including sky news. where is news outlast became interested in the store including sky news.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['various nodes outlast became interested in the store including skynose', 'various nodes outlast became interested in the store including skynos', 'where is news outlast became interested in the story including sky news', 'where is news outlast became interested in the story including sky news', 'where is news outlast became interested in the store including sky news']
[ "the story ends with the famous lines of the children", "the story ends with the famous line save the children", "the story ends with the famous line save the children", "the story ends with the famous line save the children", "the story ends with the famous lines of the children" ]
the story ends with the famous line save the children .
the story ends with the famous lines of the children.
the story ends with the famous line save the children. the story ends with the famous line save the children. the story ends with the famous line save the children. the story ends with the famous lines of the children.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the story ends with the famous lines of the children', 'the story ends with the famous line save the children', 'the story ends with the famous line save the children', 'the story ends with the famous line save the children', 'the story ends with the famous lines of the children']
[ "this act created marine hospitals to care for sick seemer", "this act created marine hospitals to care for six women", "this act created marine hospitals to care for six semen", "this act created marine hospitals to care for sick women", "this act created marine hospitals to care for sick people" ]
this act created marine hospitals to care for sick seamen
this act created marine hospitals to care for sick seemer.
this act created marine hospitals to care for six women. this act created marine hospitals to care for six semen. this act created marine hospitals to care for sick women. this act created marine hospitals to care for sick people.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this act created marine hospitals to care for sick seemer', 'this act created marine hospitals to care for six women', 'this act created marine hospitals to care for six semen', 'this act created marine hospitals to care for sick women', 'this act created marine hospitals to care for sick people']
[ "he was an active presbyterian and a mason", "he was an active presbyterian and a mason", "he was an active presbyterian under mason", "he was an active presbyterian and a mason", "he was an active press biterion and a mason" ]
he was an active presbyterian and a mason
he was an active presbyterian and a mason.
he was an active presbyterian and a mason. he was an active presbyterian under mason. he was an active presbyterian and a mason. he was an active press biterion and a mason.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he was an active presbyterian and a mason', 'he was an active presbyterian and a mason', 'he was an active presbyterian under mason', 'he was an active presbyterian and a mason', 'he was an active press biterion and a mason']
[ "a woman shopper is pushing a straw while looking through items on the shelf of the aisle", "a woman shopper is pushing her straw while looking through items on the shelf of the aisle", "a woman is shopper is pushing a straw while looking through items on the shelf of the aisle", "a woman is shopper is pushing her straw while looking through items on the shelf of the aisle", "a woman shoppers pushing a straw while looking through items on the shelf of the aisle" ]
a woman shopper is pushing her stroller while looking through items on the shelf of the aisle
a woman shopper is pushing a straw while looking through items on the shelf of the aisle.
a woman shopper is pushing her straw while looking through items on the shelf of the aisle. a woman is shopper is pushing a straw while looking through items on the shelf of the aisle. a woman is shopper is pushing her straw while looking through items on the shelf of the aisle. a woman shoppers pushing a straw while looking through items on the shelf of the aisle.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['a woman shopper is pushing a straw while looking through items on the shelf of the aisle', 'a woman shopper is pushing her straw while looking through items on the shelf of the aisle', 'a woman is shopper is pushing a straw while looking through items on the shelf of the aisle', 'a woman is shopper is pushing her straw while looking through items on the shelf of the aisle', 'a woman shoppers pushing a straw while looking through items on the shelf of the aisle']
[ "however from the mid ninetys the race started increasingly to write about other artists work", "however from the mid ninetys the race started increasingly to write about other artists work", "however from the mid ninetys the race started increasingly to write about other artist is work", "however from the mid ninetys the race started increasingly to write about other artist is work", "however from the mid ninetys the race started increasingly to write about other artists work" ]
however from the mid nineties jaray started increasingly to write about other artists work
however from the mid ninetys the race started increasingly to write about other artists work.
however from the mid ninetys the race started increasingly to write about other artists work. however from the mid ninetys the race started increasingly to write about other artist is work. however from the mid ninetys the race started increasingly to write about other artist is work. however from the mid ninetys the race started increasingly to write about other artists work.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['however from the mid ninetys the race started increasingly to write about other artists work', 'however from the mid ninetys the race started increasingly to write about other artists work', 'however from the mid ninetys the race started increasingly to write about other artist is work', 'however from the mid ninetys the race started increasingly to write about other artist is work', 'however from the mid ninetys the race started increasingly to write about other artists work']
[ "marie is portrayal of women in particular is too edged and not always consistent", "marie is portrayal of women in particular is too etched and not always consistent", "marie is portrayal of women in particular is too edged and not always consistent", "marie is portrayal of women in particular is too edged and not always consistent", "marie is portrayal of women in particular is too etched and not always consistent" ]
marie is portrayal of women in particular is two edged and not always consistent
marie is portrayal of women in particular is too edged and not always consistent.
marie is portrayal of women in particular is too etched and not always consistent. marie is portrayal of women in particular is too edged and not always consistent. marie is portrayal of women in particular is too edged and not always consistent. marie is portrayal of women in particular is too etched and not always consistent.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['marie is portrayal of women in particular is too edged and not always consistent', 'marie is portrayal of women in particular is too etched and not always consistent', 'marie is portrayal of women in particular is too edged and not always consistent', 'marie is portrayal of women in particular is too edged and not always consistent', 'marie is portrayal of women in particular is too etched and not always consistent']
[ "the equivalence is often given by ambient isotope but can be given by homomorphism", "the equivalence is often given by ambient isotope but can be given by homeomorphism", "the prevalence is often given by ambient isotope but can be given by homeomorphism", "the prevalence is often given by ambient isotope but can be given by homomorphism", "the equivalence is often given by ambient isotope but can be given by homomorphism" ]
the equivalence is often given by ambient isotopy but can be given by homeomorphism
the equivalence is often given by ambient isotope but can be given by homomorphism.
the equivalence is often given by ambient isotope but can be given by homeomorphism. the prevalence is often given by ambient isotope but can be given by homeomorphism. the prevalence is often given by ambient isotope but can be given by homomorphism. the equivalence is often given by ambient isotope but can be given by homomorphism.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the equivalence is often given by ambient isotope but can be given by homomorphism', 'the equivalence is often given by ambient isotope but can be given by homeomorphism', 'the prevalence is often given by ambient isotope but can be given by homeomorphism', 'the prevalence is often given by ambient isotope but can be given by homomorphism', 'the equivalence is often given by ambient isotope but can be given by homomorphism']
[ "he is in third day in the first long memorial park cemetery", "he is entered day in the first long memorial park cemetery", "he is in third day in the first lawn memorial park cemetery", "he is entered day in the first lawn memorial park cemetery", "he is interred day in the first lawn memorial park cemetery" ]
he is interred there in the forest lawn memorial park cemetery
he is in third day in the first long memorial park cemetery.
he is entered day in the first long memorial park cemetery. he is in third day in the first lawn memorial park cemetery. he is entered day in the first lawn memorial park cemetery. he is interred day in the first lawn memorial park cemetery.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['he is in third day in the first long memorial park cemetery', 'he is entered day in the first long memorial park cemetery', 'he is in third day in the first lawn memorial park cemetery', 'he is entered day in the first lawn memorial park cemetery', 'he is interred day in the first lawn memorial park cemetery']
[ "the grotto remains connected to a hotel", "the grotto remains connected to a hotel", "the grotto remains connected to a hotel", "the grotto remains connected to a hotel", "the grotto remains connected to a hotel" ]
the grotto remains connected to a hotel
the grotto remains connected to a hotel.
the grotto remains connected to a hotel. the grotto remains connected to a hotel. the grotto remains connected to a hotel. the grotto remains connected to a hotel.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the grotto remains connected to a hotel', 'the grotto remains connected to a hotel', 'the grotto remains connected to a hotel', 'the grotto remains connected to a hotel', 'the grotto remains connected to a hotel']
[ "romely also has his own theater the romely forum", "romely also has his own theater the romely forum", "romily also has his own theater the romily forum", "romily also has its own theater the romily forum", "romely also has its own theater the romely forum" ]
romiley also has its own theater the romiley forum
romely also has his own theater the romely forum.
romely also has his own theater the romely forum. romily also has his own theater the romily forum. romily also has its own theater the romily forum. romely also has its own theater the romely forum.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['romely also has his own theater the romely forum', 'romely also has his own theater the romely forum', 'romily also has his own theater the romily forum', 'romily also has its own theater the romily forum', 'romely also has its own theater the romely forum']
[ "zenal power escaped off to oey in brazil", "xenal power skipped off to oei in brazil", "zeynall power skipped off to oi in brazil", "zenal power skipped off to oi in brazil", "zenal power skipped off to oey in brazil" ]
zeinal bava skipped off to oi in brazil
zenal power escaped off to oey in brazil.
xenal power skipped off to oei in brazil. zeynall power skipped off to oi in brazil. zenal power skipped off to oi in brazil. zenal power skipped off to oey in brazil.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['zenal power escaped off to oey in brazil', 'xenal power skipped off to oei in brazil', 'zeynall power skipped off to oi in brazil', 'zenal power skipped off to oi in brazil', 'zenal power skipped off to oey in brazil']
[ "this term is used in the fields of biology ecology and conservation biology", "this term is used in the fields of biology ecology and conservation biology", "this term is used in the fields of biology ecology and conservation biology", "this term is used in the fields of biology ecology and conservation biology", "this term is used in the fields of biology ecology and conservation biology" ]
this term is used in the fields of biology ecology and conservation biology
this term is used in the fields of biology ecology and conservation biology.
this term is used in the fields of biology ecology and conservation biology. this term is used in the fields of biology ecology and conservation biology. this term is used in the fields of biology ecology and conservation biology. this term is used in the fields of biology ecology and conservation biology.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this term is used in the fields of biology ecology and conservation biology', 'this term is used in the fields of biology ecology and conservation biology', 'this term is used in the fields of biology ecology and conservation biology', 'this term is used in the fields of biology ecology and conservation biology', 'this term is used in the fields of biology ecology and conservation biology']
[ "stainegor received two battle stars for service in vietnam", "stain egg or received two battle stars for service in vietnam", "stainegor received two battlestars for service in vietnam", "stain egg or received two battle stars for service in vietnam", "stanegor received two battle stars for service in vietnam" ]
steinaker received two battle stars for service in vietnam
stainegor received two battle stars for service in vietnam.
stain egg or received two battle stars for service in vietnam. stainegor received two battlestars for service in vietnam. stain egg or received two battle stars for service in vietnam. stanegor received two battle stars for service in vietnam.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['stainegor received two battle stars for service in vietnam', 'stain egg or received two battle stars for service in vietnam', 'stainegor received two battlestars for service in vietnam', 'stain egg or received two battle stars for service in vietnam', 'stanegor received two battle stars for service in vietnam']
[ "the tectonics direct few bistable storage tube was perhaps the best example in this category", "the tectronics direct few bistable storage tube was perhaps the best example in this category", "the tectonix direct few bistable storage tube was perhaps the best example in this category", "the tectonics direct few bestable storage tube was perhaps the best example in this category", "the tectronics direct few bistable storage tube was perhaps the best example in this category" ]
the tektronix direct view bistable storage tube was perhaps the best example in this category
the tectonics direct few bistable storage tube was perhaps the best example in this category.
the tectronics direct few bistable storage tube was perhaps the best example in this category. the tectonix direct few bistable storage tube was perhaps the best example in this category. the tectonics direct few bestable storage tube was perhaps the best example in this category. the tectronics direct few bistable storage tube was perhaps the best example in this category.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the tectonics direct few bistable storage tube was perhaps the best example in this category', 'the tectronics direct few bistable storage tube was perhaps the best example in this category', 'the tectonix direct few bistable storage tube was perhaps the best example in this category', 'the tectonics direct few bestable storage tube was perhaps the best example in this category', 'the tectronics direct few bistable storage tube was perhaps the best example in this category']
[ "frangham hem college is an independent co educational secondary school for borders and day students", "frangham ham college is an independent co educational secondary school for borders and day students", "frameham college is an independent co educational secondary school for borders and day students", "frangham hem college is an independent co educational secondary school for borders and day students", "frameham college is an independent co educational secondary school for borders and day students" ]
framlingham college is an independent coeducational secondary school for boarders and day students
frangham hem college is an independent co educational secondary school for borders and day students.
frangham ham college is an independent co educational secondary school for borders and day students. frameham college is an independent co educational secondary school for borders and day students. frangham hem college is an independent co educational secondary school for borders and day students. frameham college is an independent co educational secondary school for borders and day students.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['frangham hem college is an independent co educational secondary school for borders and day students', 'frangham ham college is an independent co educational secondary school for borders and day students', 'frameham college is an independent co educational secondary school for borders and day students', 'frangham hem college is an independent co educational secondary school for borders and day students', 'frameham college is an independent co educational secondary school for borders and day students']
[ "the main change is the same position relative to the earth surface", "the main times the same position relative to the earth surface", "in the main times the same position relative to the earth surface", "the main change the same position relative to the earth surface", "the main times the same position relative to the earth surface" ]
it maintains the same position relative to the earth is surface
the main change is the same position relative to the earth surface.
the main times the same position relative to the earth surface. in the main times the same position relative to the earth surface. the main change the same position relative to the earth surface. the main times the same position relative to the earth surface.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the main change is the same position relative to the earth surface', 'the main times the same position relative to the earth surface', 'in the main times the same position relative to the earth surface', 'the main change the same position relative to the earth surface', 'the main times the same position relative to the earth surface']
[ "shelton is office the drums job in the specials was turned it down", "shelton is office the drums job in the specials were turned it down", "shelton is office the drums job and the specials were turned it down", "shelton is office the drums job in the specials were turned it down", "shelton is office the drums job in the specials were turned it down" ]
shelton was offered the drummer is job in the specials but turned it down
shelton is office the drums job in the specials was turned it down.
shelton is office the drums job in the specials were turned it down. shelton is office the drums job and the specials were turned it down. shelton is office the drums job in the specials were turned it down. shelton is office the drums job in the specials were turned it down.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['shelton is office the drums job in the specials was turned it down', 'shelton is office the drums job in the specials were turned it down', 'shelton is office the drums job and the specials were turned it down', 'shelton is office the drums job in the specials were turned it down', 'shelton is office the drums job in the specials were turned it down']
[ "thank you", "thank you", "thank you", "thank you", "thank you" ]
thank you
thank you.
thank you. thank you. thank you. thank you.
train_cv
null
[]
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['thank you', 'thank you', 'thank you', 'thank you', 'thank you']
[ "radio mogadishu is the federal government run public broadcaster", "radio mogadishu is the federal government run public broadcaster", "radio mogadishu is the federal government run public broadcast stand", "radio mogadishu is the federal government run public broadcasting", "radio mogadishu is the federal government run public broadcast staff" ]
radio mogadishu is the federal government run public broadcaster
radio mogadishu is the federal government run public broadcaster.
radio mogadishu is the federal government run public broadcaster. radio mogadishu is the federal government run public broadcast stand. radio mogadishu is the federal government run public broadcasting. radio mogadishu is the federal government run public broadcast staff.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['radio mogadishu is the federal government run public broadcaster', 'radio mogadishu is the federal government run public broadcaster', 'radio mogadishu is the federal government run public broadcast stand', 'radio mogadishu is the federal government run public broadcasting', 'radio mogadishu is the federal government run public broadcast staff']
[ "this multifunctional building houses the cadet dining hall and the cadet mess", "this multi functional building houses the cadet dining hall and the cadet mess", "this multifunctional building houses the cadet dining hall and the cadet mess", "this multifunctional building house is the cadet dining hall and the cadet mess", "these multifunctional building houses the cadet dining hall and the cadet mess" ]
this multifunctional building houses the cadet dining hall and the cadet mess
this multifunctional building houses the cadet dining hall and the cadet mess.
this multi functional building houses the cadet dining hall and the cadet mess. this multifunctional building houses the cadet dining hall and the cadet mess. this multifunctional building house is the cadet dining hall and the cadet mess. these multifunctional building houses the cadet dining hall and the cadet mess.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['this multifunctional building houses the cadet dining hall and the cadet mess', 'this multi functional building houses the cadet dining hall and the cadet mess', 'this multifunctional building houses the cadet dining hall and the cadet mess', 'this multifunctional building house is the cadet dining hall and the cadet mess', 'these multifunctional building houses the cadet dining hall and the cadet mess']
[ "his last years were spent in his house in madrid", "his last year was spent in his house in madrid", "his last years was spent in his house in madrid", "his last year as was spent in his house in madrid", "his last years were spent in his house in madrid" ]
his last years were spent in his house in madrid
his last years were spent in his house in madrid.
his last year was spent in his house in madrid. his last years was spent in his house in madrid. his last year as was spent in his house in madrid. his last years were spent in his house in madrid.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['his last years were spent in his house in madrid', 'his last year was spent in his house in madrid', 'his last years was spent in his house in madrid', 'his last year as was spent in his house in madrid', 'his last years were spent in his house in madrid']
[ "accord was married three times", "accord was married three times", "accord was married three times", "accord was married three times", "accord was married three times" ]
acord was married three times
accord was married three times.
accord was married three times. accord was married three times. accord was married three times. accord was married three times.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['accord was married three times', 'accord was married three times', 'accord was married three times', 'accord was married three times', 'accord was married three times']
[ "the uni cooperator community subsider and uni are located in the town", "the unicoperator community subsider and gooney are located in the town", "the unicoperator community subsider and guni are located in the town", "the unicoperator community subsider and goony are located in the town", "the unique operator community subsider and gooney are located in the town" ]
the unincorporated communities of cedar and gurney are located in the town
the uni cooperator community subsider and uni are located in the town.
the unicoperator community subsider and gooney are located in the town. the unicoperator community subsider and guni are located in the town. the unicoperator community subsider and goony are located in the town. the unique operator community subsider and gooney are located in the town.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['the uni cooperator community subsider and uni are located in the town', 'the unicoperator community subsider and gooney are located in the town', 'the unicoperator community subsider and guni are located in the town', 'the unicoperator community subsider and goony are located in the town', 'the unique operator community subsider and gooney are located in the town']
[ "it was developed by genbarion and published by nintendo", "it was developed by genbaryon and published by nintendo", "it was developed by ganbarion and published by nintendo", "it was developed by genbarian and published by nintendo", "it was developed by genbarion and published by nintendo" ]
it was developed by ganbarion and published by nintendo
it was developed by genbarion and published by nintendo.
it was developed by genbaryon and published by nintendo. it was developed by ganbarion and published by nintendo. it was developed by genbarian and published by nintendo. it was developed by genbarion and published by nintendo.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['it was developed by genbarion and published by nintendo', 'it was developed by genbaryon and published by nintendo', 'it was developed by ganbarion and published by nintendo', 'it was developed by genbarian and published by nintendo', 'it was developed by genbarion and published by nintendo']
[ "olga rozanova was born in melenki a small town near vladimir", "olga rozanova was born in malenki a small town near vladimir", "olga rozanova was born in milenki a small town near vladimir", "olga rozanova was born in melenki a small town near vladimir", "olga rosanova was born in melenki a small town near vladimir" ]
olga rozanova was born in melenki a small town near vladimir
olga rozanova was born in melenki a small town near vladimir.
olga rozanova was born in malenki a small town near vladimir. olga rozanova was born in milenki a small town near vladimir. olga rozanova was born in melenki a small town near vladimir. olga rosanova was born in melenki a small town near vladimir.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['olga rozanova was born in melenki a small town near vladimir', 'olga rozanova was born in malenki a small town near vladimir', 'olga rozanova was born in milenki a small town near vladimir', 'olga rozanova was born in melenki a small town near vladimir', 'olga rosanova was born in melenki a small town near vladimir']
[ "white quartz pebbles reinforce the structure", "white quartz pebbles reinforced the structure", "white quartz pebbles reinforce the structure", "white quartz pebbles reinforce the structure", "white quartz panels reinforce the structure" ]
white quartz pebbles reinforce the structure
white quartz pebbles reinforce the structure.
white quartz pebbles reinforced the structure. white quartz pebbles reinforce the structure. white quartz pebbles reinforce the structure. white quartz panels reinforce the structure.
train_cv
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You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis. ['white quartz pebbles reinforce the structure', 'white quartz pebbles reinforced the structure', 'white quartz pebbles reinforce the structure', 'white quartz pebbles reinforce the structure', 'white quartz panels reinforce the structure']