hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkester park",
"neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkester park",
"neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkeshire park",
"neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wokastya park",
"neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkeshire park"
] |
neighboring localities are kingston upon thames raynes park surbiton tolworth wimbledon and worcester park
|
neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkester park.
|
neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkester park. neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkeshire park. neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wokastya park. neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkeshire park.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkester park', 'neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkester park', 'neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wilkeshire park', 'neighboring localities are kingston upon thames reigns park subitone tollworth wimbledon and wokastya park', 'neighboring localities are kingston upon thames reigns park serbeten tollworth wimbledon and wilkeshire park']
|
|
[
"it was one of the titles or names of the islamic prophet muhammad",
"it was one of the titles or names of the islamic prophet muhammad",
"it was one of the titles or names of the islamic prophet muhammad",
"it was one of the titles or names of the islamic prophet muhammad",
"it was one of the titles or names of the islamic prophet muhammad"
] |
it was one of the titles or names of the islamic prophet muhammad
|
it was one of the titles or names of the islamic prophet muhammad.
|
it was one of the titles or names of the islamic prophet muhammad. it was one of the titles or names of the islamic prophet muhammad. it was one of the titles or names of the islamic prophet muhammad. it was one of the titles or names of the islamic prophet muhammad.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was one of the titles or names of the islamic prophet muhammad', 'it was one of the titles or names of the islamic prophet muhammad', 'it was one of the titles or names of the islamic prophet muhammad', 'it was one of the titles or names of the islamic prophet muhammad', 'it was one of the titles or names of the islamic prophet muhammad']
|
|
[
"the song is constructed into this course form",
"the song is constructed in this course form",
"the song is constructed into this chorus form",
"the song is constructed into this car is foam",
"the song is constructed into this car is foam"
] |
the song is constructed in a verse chorus form
|
the song is constructed into this course form.
|
the song is constructed in this course form. the song is constructed into this chorus form. the song is constructed into this car is foam. the song is constructed into this car is foam.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the song is constructed into this course form', 'the song is constructed in this course form', 'the song is constructed into this chorus form', 'the song is constructed into this car is foam', 'the song is constructed into this car is foam']
|
|
[
"ron gonzales was elected the first latino mayor of san jose since california is statehood",
"ron gonzales was elected the first latino mayor of san jose since california is statehood",
"ron gonzalez was elected the first latino mayor of san jose since california is statehood",
"ron gonzalez was elected the first latino mayor of san jose since california is statehood",
"ron gonzales who was elected the first latino mayor of san jose since california statehood"
] |
ron gonzales was elected the first latino mayor of san jose since california is statehood
|
ron gonzales was elected the first latino mayor of san jose since california is statehood.
|
ron gonzales was elected the first latino mayor of san jose since california is statehood. ron gonzalez was elected the first latino mayor of san jose since california is statehood. ron gonzalez was elected the first latino mayor of san jose since california is statehood. ron gonzales who was elected the first latino mayor of san jose since california statehood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ron gonzales was elected the first latino mayor of san jose since california is statehood', 'ron gonzales was elected the first latino mayor of san jose since california is statehood', 'ron gonzalez was elected the first latino mayor of san jose since california is statehood', 'ron gonzalez was elected the first latino mayor of san jose since california is statehood', 'ron gonzales who was elected the first latino mayor of san jose since california statehood']
|
|
[
"the bottom floors of the tower contains a luxury western hotel",
"the bottom floors of the tower contains a luxury western hotel",
"the bottom floor of the tower contains a luxury western hotel",
"the bottom floors of the tower contains the luxury western hotel",
"the bottom floor of the tower contains a luxury western hotel"
] |
the bottom floors of the tower contain a luxury westin hotel
|
the bottom floors of the tower contains a luxury western hotel.
|
the bottom floors of the tower contains a luxury western hotel. the bottom floor of the tower contains a luxury western hotel. the bottom floors of the tower contains the luxury western hotel. the bottom floor of the tower contains a luxury western hotel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bottom floors of the tower contains a luxury western hotel', 'the bottom floors of the tower contains a luxury western hotel', 'the bottom floor of the tower contains a luxury western hotel', 'the bottom floors of the tower contains the luxury western hotel', 'the bottom floor of the tower contains a luxury western hotel']
|
|
[
"no he replied",
"no you replied",
"no you are replied",
"no you are replied",
"no you replied"
] |
no he replied
|
no he replied.
|
no you replied. no you are replied. no you are replied. no you replied.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['no he replied', 'no you replied', 'no you are replied', 'no you are replied', 'no you replied']
|
|
[
"again a critical situation had moderated by implementing the agreement proved difficult",
"again the critical situation had moderated by implementing the agreement proved difficult",
"again a critical situation had moderated but implementing the agreement proved difficult",
"again a critical situation had moderated by implementing the agreement proved difficult",
"again a critical situation had moderated by implementing the agreement proved difficult"
] |
again a critical situation had moderated but implementing the agreement proved difficult
|
again a critical situation had moderated by implementing the agreement proved difficult.
|
again the critical situation had moderated by implementing the agreement proved difficult. again a critical situation had moderated but implementing the agreement proved difficult. again a critical situation had moderated by implementing the agreement proved difficult. again a critical situation had moderated by implementing the agreement proved difficult.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['again a critical situation had moderated by implementing the agreement proved difficult', 'again the critical situation had moderated by implementing the agreement proved difficult', 'again a critical situation had moderated but implementing the agreement proved difficult', 'again a critical situation had moderated by implementing the agreement proved difficult', 'again a critical situation had moderated by implementing the agreement proved difficult']
|
|
[
"london recruit had dozens of subsidiary labels throughout its existence",
"london recruit had dozens of subsidiary labels for artists existence",
"london recruit had dozens of subsidiary labels for all its existence",
"london recruit had dozens of subsidiary labels for our tips existence",
"london recruit had dozens of subsidiary labels for artist is existence"
] |
london records had dozens of subsidiary labels throughout its existence
|
london recruit had dozens of subsidiary labels throughout its existence.
|
london recruit had dozens of subsidiary labels for artists existence. london recruit had dozens of subsidiary labels for all its existence. london recruit had dozens of subsidiary labels for our tips existence. london recruit had dozens of subsidiary labels for artist is existence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['london recruit had dozens of subsidiary labels throughout its existence', 'london recruit had dozens of subsidiary labels for artists existence', 'london recruit had dozens of subsidiary labels for all its existence', 'london recruit had dozens of subsidiary labels for our tips existence', 'london recruit had dozens of subsidiary labels for artist is existence']
|
|
[
"the gameplay of undy in general follows the precepts of the first perfect shooter shot",
"the gameplay of undy in general follows the precepts of the first perfect shooter shown",
"the gameplay of undy in general follows the precepts of the first perfect shooter sean",
"the gameplay of undy in general follows the precepts of the first perfect shootage shot",
"the gameplay of undy in general follows the precepts of the first perfect shooter sean"
] |
the gameplay of undying in general follows the precepts of the first person shooter genre
|
the gameplay of undy in general follows the precepts of the first perfect shooter shot.
|
the gameplay of undy in general follows the precepts of the first perfect shooter shown. the gameplay of undy in general follows the precepts of the first perfect shooter sean. the gameplay of undy in general follows the precepts of the first perfect shootage shot. the gameplay of undy in general follows the precepts of the first perfect shooter sean.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the gameplay of undy in general follows the precepts of the first perfect shooter shot', 'the gameplay of undy in general follows the precepts of the first perfect shooter shown', 'the gameplay of undy in general follows the precepts of the first perfect shooter sean', 'the gameplay of undy in general follows the precepts of the first perfect shootage shot', 'the gameplay of undy in general follows the precepts of the first perfect shooter sean']
|
|
[
"john kevin is mother later wrote a memoir love and freedom",
"john cavan is mother later wrote a memoir love and freedom",
"joan cavan is mother later wrote a memoir love and freedom",
"john kaven is mother later wrote a memoir love and freedom",
"john kevin is mother later wrote a memoir love and freedom"
] |
jan kavan is mother later wrote a memoir love and freedom
|
john kevin is mother later wrote a memoir love and freedom.
|
john cavan is mother later wrote a memoir love and freedom. joan cavan is mother later wrote a memoir love and freedom. john kaven is mother later wrote a memoir love and freedom. john kevin is mother later wrote a memoir love and freedom.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['john kevin is mother later wrote a memoir love and freedom', 'john cavan is mother later wrote a memoir love and freedom', 'joan cavan is mother later wrote a memoir love and freedom', 'john kaven is mother later wrote a memoir love and freedom', 'john kevin is mother later wrote a memoir love and freedom']
|
|
[
"which mountain ship surrounds the brule of mansfield",
"which mountain ship surrounds the borough of mansfield",
"which mountain ship surrounds the brough of mansfield",
"which mountain ship surrounds the bro of mansfield",
"which mountain ship surrounds the borough of mansfield"
] |
richmond township surrounds the borough of mansfield
|
which mountain ship surrounds the brule of mansfield.
|
which mountain ship surrounds the borough of mansfield. which mountain ship surrounds the brough of mansfield. which mountain ship surrounds the bro of mansfield. which mountain ship surrounds the borough of mansfield.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['which mountain ship surrounds the brule of mansfield', 'which mountain ship surrounds the borough of mansfield', 'which mountain ship surrounds the brough of mansfield', 'which mountain ship surrounds the bro of mansfield', 'which mountain ship surrounds the borough of mansfield']
|
|
[
"he has an architectural practice in wayne swirling",
"he has an architectural practice in brainstorming",
"he has an architectural practice in wayne is rowling",
"p has an architectural practice in brainstorming",
"he has an architectural practice in wayne is valley"
] |
he has an architectural practice in waynesville
|
he has an architectural practice in wayne swirling.
|
he has an architectural practice in brainstorming. he has an architectural practice in wayne is rowling. p has an architectural practice in brainstorming. he has an architectural practice in wayne is valley.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has an architectural practice in wayne swirling', 'he has an architectural practice in brainstorming', 'he has an architectural practice in wayne is rowling', 'p has an architectural practice in brainstorming', 'he has an architectural practice in wayne is valley']
|
|
[
"jane also has a dislike from mathematics",
"jain also has a dislike from mathematics",
"jane also has a dislike from mathematics",
"jane also has a dislike from mathematics",
"jane also has a dislike from mathematics"
] |
jane also has a dislike for mathematics
|
jane also has a dislike from mathematics.
|
jain also has a dislike from mathematics. jane also has a dislike from mathematics. jane also has a dislike from mathematics. jane also has a dislike from mathematics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jane also has a dislike from mathematics', 'jain also has a dislike from mathematics', 'jane also has a dislike from mathematics', 'jane also has a dislike from mathematics', 'jane also has a dislike from mathematics']
|
|
[
"unexpectedly so does chris",
"unexpectedly so does chris",
"unexpectedly so does chris",
"unexpectedly so does chris",
"unexpectedly so does chris"
] |
unexpectedly so does chris
|
unexpectedly so does chris.
|
unexpectedly so does chris. unexpectedly so does chris. unexpectedly so does chris. unexpectedly so does chris.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unexpectedly so does chris', 'unexpectedly so does chris', 'unexpectedly so does chris', 'unexpectedly so does chris', 'unexpectedly so does chris']
|
|
[
"john marvin steele who famously became caught on the town is church spire",
"john marvin steel who famously became caught on the town is church spire",
"john marvin steel who famously became caught on the town is church spire",
"john marvin steal who famously became caught on the town is church spire",
"john marvin still who famously became caught on the town is church spire"
] |
john marvin steele who famously became caught on the town is church spire
|
john marvin steele who famously became caught on the town is church spire.
|
john marvin steel who famously became caught on the town is church spire. john marvin steel who famously became caught on the town is church spire. john marvin steal who famously became caught on the town is church spire. john marvin still who famously became caught on the town is church spire.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['john marvin steele who famously became caught on the town is church spire', 'john marvin steel who famously became caught on the town is church spire', 'john marvin steel who famously became caught on the town is church spire', 'john marvin steal who famously became caught on the town is church spire', 'john marvin still who famously became caught on the town is church spire']
|
|
[
"this vulnerability was later exploited by opposing tank forces",
"this vulnerability was later exploited by posing tank forces",
"this vulnerability was later exploited by posing tankforces",
"this vulnerability was later exploited by opposing tankforces",
"this vulnerability was later exploited by opposing tank forces"
] |
this vulnerability was later exploited by opposing tank forces
|
this vulnerability was later exploited by opposing tank forces.
|
this vulnerability was later exploited by posing tank forces. this vulnerability was later exploited by posing tankforces. this vulnerability was later exploited by opposing tankforces. this vulnerability was later exploited by opposing tank forces.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this vulnerability was later exploited by opposing tank forces', 'this vulnerability was later exploited by posing tank forces', 'this vulnerability was later exploited by posing tankforces', 'this vulnerability was later exploited by opposing tankforces', 'this vulnerability was later exploited by opposing tank forces']
|
|
[
"vivek nagar is named doctor swami vivekandaya",
"vivekanagar is named doctor swami vivekanthaya",
"vivek nagar is named doctor swami vivekandaya",
"vivekanagar is named doctor swami vivekanthaya",
"vivekanagar is named doctor swami vivekanthaya"
] |
vivek nagar is named after swami vivekananda
|
vivek nagar is named doctor swami vivekandaya.
|
vivekanagar is named doctor swami vivekanthaya. vivek nagar is named doctor swami vivekandaya. vivekanagar is named doctor swami vivekanthaya. vivekanagar is named doctor swami vivekanthaya.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['vivek nagar is named doctor swami vivekandaya', 'vivekanagar is named doctor swami vivekanthaya', 'vivek nagar is named doctor swami vivekandaya', 'vivekanagar is named doctor swami vivekanthaya', 'vivekanagar is named doctor swami vivekanthaya']
|
|
[
"john beatty became a doctor and opened his first practice in hartzville pennsylvania",
"john b t became a doctor and opened his first practice in hartzville pennsylvania",
"john beaty became a doctor and opened his first practice in hartzville pennsylvania",
"john beatty became a doctor and opened his first practice in hartsville pennsylvania",
"john beatty became a doctor and opened his first practice in hartzville pennsylvania"
] |
john beatty became a doctor and opened his first practice in hartsville pennsylvania
|
john beatty became a doctor and opened his first practice in hartzville pennsylvania.
|
john b t became a doctor and opened his first practice in hartzville pennsylvania. john beaty became a doctor and opened his first practice in hartzville pennsylvania. john beatty became a doctor and opened his first practice in hartsville pennsylvania. john beatty became a doctor and opened his first practice in hartzville pennsylvania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['john beatty became a doctor and opened his first practice in hartzville pennsylvania', 'john b t became a doctor and opened his first practice in hartzville pennsylvania', 'john beaty became a doctor and opened his first practice in hartzville pennsylvania', 'john beatty became a doctor and opened his first practice in hartsville pennsylvania', 'john beatty became a doctor and opened his first practice in hartzville pennsylvania']
|
|
[
"the long high school offers classroom music and an instrumental music program to its students",
"the long high school offers classroom music and an instrumental music program to its students",
"the long high school offers classroom music and an instrumental music program to it is students",
"the long high school offers classroom music and an instrumental music program to its students",
"the long high school offers classroom music and an instrumental music program to its students"
] |
geelong high school offers classroom music and an instrumental music program to its students
|
the long high school offers classroom music and an instrumental music program to its students.
|
the long high school offers classroom music and an instrumental music program to its students. the long high school offers classroom music and an instrumental music program to it is students. the long high school offers classroom music and an instrumental music program to its students. the long high school offers classroom music and an instrumental music program to its students.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the long high school offers classroom music and an instrumental music program to its students', 'the long high school offers classroom music and an instrumental music program to its students', 'the long high school offers classroom music and an instrumental music program to it is students', 'the long high school offers classroom music and an instrumental music program to its students', 'the long high school offers classroom music and an instrumental music program to its students']
|
|
[
"the film was a disastrous vehicle for both stars",
"the film was a disasterous vehicle for both stars",
"the film was a disaster is vehicle for both stars",
"the film was a disaster is vehicle for both stars",
"the film was a disaster is vehicle for both stars"
] |
the film was a disastrous vehicle for both stars
|
the film was a disastrous vehicle for both stars.
|
the film was a disasterous vehicle for both stars. the film was a disaster is vehicle for both stars. the film was a disaster is vehicle for both stars. the film was a disaster is vehicle for both stars.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the film was a disastrous vehicle for both stars', 'the film was a disasterous vehicle for both stars', 'the film was a disaster is vehicle for both stars', 'the film was a disaster is vehicle for both stars', 'the film was a disaster is vehicle for both stars']
|
|
[
"port rashid will turn into a cruise terminal",
"port rashid will turn into a cruise terminal",
"port racheid will turn into a cruise terminal",
"port racheed will turn into a cruise terminal",
"port rashiad will turn into a cruise terminal"
] |
port rashid will turn into a cruise terminal
|
port rashid will turn into a cruise terminal.
|
port rashid will turn into a cruise terminal. port racheid will turn into a cruise terminal. port racheed will turn into a cruise terminal. port rashiad will turn into a cruise terminal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['port rashid will turn into a cruise terminal', 'port rashid will turn into a cruise terminal', 'port racheid will turn into a cruise terminal', 'port racheed will turn into a cruise terminal', 'port rashiad will turn into a cruise terminal']
|
|
[
"and i hear no you are an actor",
"and i here no you are an actor",
"and i hear no you are an actor",
"and i hear no you are an actor",
"and i hear no you are an actor"
] |
and i hear no you are an actor
|
and i hear no you are an actor.
|
and i here no you are an actor. and i hear no you are an actor. and i hear no you are an actor. and i hear no you are an actor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and i hear no you are an actor', 'and i here no you are an actor', 'and i hear no you are an actor', 'and i hear no you are an actor', 'and i hear no you are an actor']
|
|
[
"edward j cummings junior inc",
"edward j cummings junior income on",
"edward j cummings junior in command",
"edward j cummings junior incommand",
"edward j cummings junior inc"
] |
edward j cummings junior in command
|
edward j cummings junior inc.
|
edward j cummings junior income on. edward j cummings junior in command. edward j cummings junior incommand. edward j cummings junior inc.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['edward j cummings junior inc', 'edward j cummings junior income on', 'edward j cummings junior in command', 'edward j cummings junior incommand', 'edward j cummings junior inc']
|
|
[
"he himself spoke only english in his early years",
"he himself spoke only english in his early years",
"he himself spoke only english in his early years",
"he himself spoke only english in his early years",
"he himself spoke only english in his early years"
] |
he himself spoke only english in his early years
|
he himself spoke only english in his early years.
|
he himself spoke only english in his early years. he himself spoke only english in his early years. he himself spoke only english in his early years. he himself spoke only english in his early years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he himself spoke only english in his early years', 'he himself spoke only english in his early years', 'he himself spoke only english in his early years', 'he himself spoke only english in his early years', 'he himself spoke only english in his early years']
|
|
[
"this behavior could be an attempt to dislodge parasites or common cells",
"this behavior could be an attempt to dislodge parasites or common cells",
"this behavior could be an adem to dislodge parasites or common cells",
"this behavior could be an attempt to dislodge parasites or common cells",
"this behavior could be an adem to dislodge parasites or common cells"
] |
this behavior could be an attempt to dislodge parasites or commensals
|
this behavior could be an attempt to dislodge parasites or common cells.
|
this behavior could be an attempt to dislodge parasites or common cells. this behavior could be an adem to dislodge parasites or common cells. this behavior could be an attempt to dislodge parasites or common cells. this behavior could be an adem to dislodge parasites or common cells.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this behavior could be an attempt to dislodge parasites or common cells', 'this behavior could be an attempt to dislodge parasites or common cells', 'this behavior could be an adem to dislodge parasites or common cells', 'this behavior could be an attempt to dislodge parasites or common cells', 'this behavior could be an adem to dislodge parasites or common cells']
|
|
[
"the swedish naturality policy meant that the government could not interfere with the trade",
"the swedish mutuality policy meant that the government could not interfere with the trade",
"the swedish naturality policy meant that the government could not interfere with the trade",
"the swedish mutuality policy meant that the government could not interfere with the trade",
"the swedish mutuality policy meant that the government could not interfere with the trade"
] |
the swedish neutrality policy meant that the government could not interfere with the trade
|
the swedish naturality policy meant that the government could not interfere with the trade.
|
the swedish mutuality policy meant that the government could not interfere with the trade. the swedish naturality policy meant that the government could not interfere with the trade. the swedish mutuality policy meant that the government could not interfere with the trade. the swedish mutuality policy meant that the government could not interfere with the trade.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the swedish naturality policy meant that the government could not interfere with the trade', 'the swedish mutuality policy meant that the government could not interfere with the trade', 'the swedish naturality policy meant that the government could not interfere with the trade', 'the swedish mutuality policy meant that the government could not interfere with the trade', 'the swedish mutuality policy meant that the government could not interfere with the trade']
|
|
[
"however she is murdered by shaffer",
"however she is murdered by schaeffer",
"however she is murdered by sheifer",
"however she is murdered by schaeffer",
"however she is murdered by sheifer"
] |
however she is murdered by shafer
|
however she is murdered by shaffer.
|
however she is murdered by schaeffer. however she is murdered by sheifer. however she is murdered by schaeffer. however she is murdered by sheifer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however she is murdered by shaffer', 'however she is murdered by schaeffer', 'however she is murdered by sheifer', 'however she is murdered by schaeffer', 'however she is murdered by sheifer']
|
|
[
"the dial was the first force feedback steering wheel available on the playstation",
"the dial is the first force feedback steering wheel available on the playstation",
"the dial was the first force feedback steering wheel available on the playstation",
"the dials of first force feedbacks searing real available on the playstation",
"the dials of first force feedbacks steering wheel available on the playstation"
] |
the dial was the first force feedback steering wheel available on the playstation
|
the dial was the first force feedback steering wheel available on the playstation.
|
the dial is the first force feedback steering wheel available on the playstation. the dial was the first force feedback steering wheel available on the playstation. the dials of first force feedbacks searing real available on the playstation. the dials of first force feedbacks steering wheel available on the playstation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the dial was the first force feedback steering wheel available on the playstation', 'the dial is the first force feedback steering wheel available on the playstation', 'the dial was the first force feedback steering wheel available on the playstation', 'the dials of first force feedbacks searing real available on the playstation', 'the dials of first force feedbacks steering wheel available on the playstation']
|
|
[
"i have an earring",
"i have an earring",
"i have an e arrake",
"i have an e arrake",
"i have an earring"
] |
i have an earache
|
i have an earring.
|
i have an earring. i have an e arrake. i have an e arrake. i have an earring.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i have an earring', 'i have an earring', 'i have an e arrake', 'i have an e arrake', 'i have an earring']
|
|
[
"they play their home game in the sport place",
"they play their home game in the sport race",
"they play their home game in the sport quiz",
"they play their home games in the sport race",
"they play their home games in the sport place"
] |
they play their home games in the sportoase
|
they play their home game in the sport place.
|
they play their home game in the sport race. they play their home game in the sport quiz. they play their home games in the sport race. they play their home games in the sport place.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they play their home game in the sport place', 'they play their home game in the sport race', 'they play their home game in the sport quiz', 'they play their home games in the sport race', 'they play their home games in the sport place']
|
|
[
"bobbingworth is in the parliamentary constituency of brentwood onger",
"bobbingworth is in the parliamentary constituency of brentwood and onger",
"bobbingworth is in the parliamentary constituency of brentwood and onga",
"bobbingworth is in the parliamentary constituency of brentwood nga",
"bobbing wirth is in the parliamentary constituency of brentwood onger"
] |
bobbingworth is in the parliamentary constituency of brentwood and ongar
|
bobbingworth is in the parliamentary constituency of brentwood onger.
|
bobbingworth is in the parliamentary constituency of brentwood and onger. bobbingworth is in the parliamentary constituency of brentwood and onga. bobbingworth is in the parliamentary constituency of brentwood nga. bobbing wirth is in the parliamentary constituency of brentwood onger.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bobbingworth is in the parliamentary constituency of brentwood onger', 'bobbingworth is in the parliamentary constituency of brentwood and onger', 'bobbingworth is in the parliamentary constituency of brentwood and onga', 'bobbingworth is in the parliamentary constituency of brentwood nga', 'bobbing wirth is in the parliamentary constituency of brentwood onger']
|
|
[
"instead amy mcgregor was appointed",
"instead a mcgregor was appointed",
"instead a and mcgregor was appointed",
"instead a mcgregor was appointed",
"instead ian mcgregor was appointed"
] |
instead ian macgregor was appointed
|
instead amy mcgregor was appointed.
|
instead a mcgregor was appointed. instead a and mcgregor was appointed. instead a mcgregor was appointed. instead ian mcgregor was appointed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['instead amy mcgregor was appointed', 'instead a mcgregor was appointed', 'instead a and mcgregor was appointed', 'instead a mcgregor was appointed', 'instead ian mcgregor was appointed']
|
|
[
"the exterior was designed by pin in farina and the caps have pressurization",
"the exterior was designed by pin in ferrina and the caps have pressurization",
"the exterior was designed by pinanferina and the caps have pressurization",
"the exterior was designed by pin in ferrina and the caps have pressurization",
"the exterior was designed by pin in farina and the caps have pressurization"
] |
the exterior was designed by pininfarina and the cabs have pressurization
|
the exterior was designed by pin in farina and the caps have pressurization.
|
the exterior was designed by pin in ferrina and the caps have pressurization. the exterior was designed by pinanferina and the caps have pressurization. the exterior was designed by pin in ferrina and the caps have pressurization. the exterior was designed by pin in farina and the caps have pressurization.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the exterior was designed by pin in farina and the caps have pressurization', 'the exterior was designed by pin in ferrina and the caps have pressurization', 'the exterior was designed by pinanferina and the caps have pressurization', 'the exterior was designed by pin in ferrina and the caps have pressurization', 'the exterior was designed by pin in farina and the caps have pressurization']
|
|
[
"krogan ordered the defenders to hold fire until the attackers were within close range",
"croggan ordered the defenders to hold fire until the attackers were within close range",
"kroggan ordered the defenders to hold fire until the attackers were within close range",
"crogan ordered the defenders to hold fire until the attackers were within close range",
"krogan ordered the defenders to hold fire until the attackers were within close range"
] |
croghan ordered the defenders to hold fire until the attackers were within close range
|
krogan ordered the defenders to hold fire until the attackers were within close range.
|
croggan ordered the defenders to hold fire until the attackers were within close range. kroggan ordered the defenders to hold fire until the attackers were within close range. crogan ordered the defenders to hold fire until the attackers were within close range. krogan ordered the defenders to hold fire until the attackers were within close range.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['krogan ordered the defenders to hold fire until the attackers were within close range', 'croggan ordered the defenders to hold fire until the attackers were within close range', 'kroggan ordered the defenders to hold fire until the attackers were within close range', 'crogan ordered the defenders to hold fire until the attackers were within close range', 'krogan ordered the defenders to hold fire until the attackers were within close range']
|
|
[
"the conflict lowers incomes catching countries in a conflict trap",
"the conflict lowers incomes catching countries in a conflict trap",
"the conflict lowers incomes catching countries in a conflict trap",
"the conflict lowers incomes catching countries in a conflict trap",
"the conflict lowers incomes catching countries in a conflict trap"
] |
the conflict lowers incomes catching countries in a conflict trap
|
the conflict lowers incomes catching countries in a conflict trap.
|
the conflict lowers incomes catching countries in a conflict trap. the conflict lowers incomes catching countries in a conflict trap. the conflict lowers incomes catching countries in a conflict trap. the conflict lowers incomes catching countries in a conflict trap.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the conflict lowers incomes catching countries in a conflict trap', 'the conflict lowers incomes catching countries in a conflict trap', 'the conflict lowers incomes catching countries in a conflict trap', 'the conflict lowers incomes catching countries in a conflict trap', 'the conflict lowers incomes catching countries in a conflict trap']
|
|
[
"a one time a hydroelectric plant was located at nearby rockland fours",
"a one time a hydroelectric plant was located near by rockland fours",
"a one time a hydroelectric plant was located at nearby rockland fores",
"a one time a hydroelectric plant was located near by rockland fores",
"at one time a hydroelectric plant was located near by rockland forest"
] |
at one time a hydroelectric plant was located at nearby rock glen falls
|
a one time a hydroelectric plant was located at nearby rockland fours.
|
a one time a hydroelectric plant was located near by rockland fours. a one time a hydroelectric plant was located at nearby rockland fores. a one time a hydroelectric plant was located near by rockland fores. at one time a hydroelectric plant was located near by rockland forest.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a one time a hydroelectric plant was located at nearby rockland fours', 'a one time a hydroelectric plant was located near by rockland fours', 'a one time a hydroelectric plant was located at nearby rockland fores', 'a one time a hydroelectric plant was located near by rockland fores', 'at one time a hydroelectric plant was located near by rockland forest']
|
|
[
"for many years after this digest was regarded as an authority on the subject",
"for many years after this digest was regarded as an authority on the subject",
"for many years after this stage was regarded as an authority on the subject",
"for many years after this ditches was regarded as an authority on the subject",
"for many years after this teacher was regarded as an authority on the subject"
] |
for many years after this digest was regarded as an authority on the subject
|
for many years after this digest was regarded as an authority on the subject.
|
for many years after this digest was regarded as an authority on the subject. for many years after this stage was regarded as an authority on the subject. for many years after this ditches was regarded as an authority on the subject. for many years after this teacher was regarded as an authority on the subject.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for many years after this digest was regarded as an authority on the subject', 'for many years after this digest was regarded as an authority on the subject', 'for many years after this stage was regarded as an authority on the subject', 'for many years after this ditches was regarded as an authority on the subject', 'for many years after this teacher was regarded as an authority on the subject']
|
|
[
"it is a tour this set with all songs personally picked by simon",
"it is a twod set with all songs personally picked by simon",
"it is a two this set with all songs personally picked by simon",
"it is a tour this set with all songs personally picked by simon",
"it is a tour of this set with all songs personally picked by simon"
] |
it is a two disk set with all the songs personally picked by simon
|
it is a tour this set with all songs personally picked by simon.
|
it is a twod set with all songs personally picked by simon. it is a two this set with all songs personally picked by simon. it is a tour this set with all songs personally picked by simon. it is a tour of this set with all songs personally picked by simon.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is a tour this set with all songs personally picked by simon', 'it is a twod set with all songs personally picked by simon', 'it is a two this set with all songs personally picked by simon', 'it is a tour this set with all songs personally picked by simon', 'it is a tour of this set with all songs personally picked by simon']
|
|
[
"the sensor replied oh nothing at all",
"the sensor replied oh nothing at all",
"the sensor replied oh nothing at all",
"the sensor replied oh nothing at all",
"the sensor replied oh nothing at all"
] |
the censor replied oh nothing at all
|
the sensor replied oh nothing at all.
|
the sensor replied oh nothing at all. the sensor replied oh nothing at all. the sensor replied oh nothing at all. the sensor replied oh nothing at all.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the sensor replied oh nothing at all', 'the sensor replied oh nothing at all', 'the sensor replied oh nothing at all', 'the sensor replied oh nothing at all', 'the sensor replied oh nothing at all']
|
|
[
"he also has a home in wareham massachusetts",
"he also has a home in wehrham massachusetts",
"he also has a home in wehram massachusetts",
"he also has a home in wehrheim massachusetts",
"he also has a home in graham massachusetts"
] |
he also had a home in wareham massachusetts
|
he also has a home in wareham massachusetts.
|
he also has a home in wehrham massachusetts. he also has a home in wehram massachusetts. he also has a home in wehrheim massachusetts. he also has a home in graham massachusetts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also has a home in wareham massachusetts', 'he also has a home in wehrham massachusetts', 'he also has a home in wehram massachusetts', 'he also has a home in wehrheim massachusetts', 'he also has a home in graham massachusetts']
|
|
[
"it also supports general charities as do other laboratory companies",
"it also supports general charities as do other levels of companies",
"it also supports general charities as do other liberative companies",
"it also supports general charities as do other delivery companies",
"it also supports general charities as do other leverage companies"
] |
it also supports general charities as do other livery companies
|
it also supports general charities as do other laboratory companies.
|
it also supports general charities as do other levels of companies. it also supports general charities as do other liberative companies. it also supports general charities as do other delivery companies. it also supports general charities as do other leverage companies.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also supports general charities as do other laboratory companies', 'it also supports general charities as do other levels of companies', 'it also supports general charities as do other liberative companies', 'it also supports general charities as do other delivery companies', 'it also supports general charities as do other leverage companies']
|
|
[
"her relationships with her parents and her now ex husband were also featured",
"her relationships with her parents and her now ex husband were also featured",
"her relationships with her parents and her now ex husband were also featured",
"her relationships with her parents and her now ex husband were also featured",
"her relationships with her parents and her now ex husband were also featured"
] |
her relationships with her parents and her now ex husband were also featured
|
her relationships with her parents and her now ex husband were also featured.
|
her relationships with her parents and her now ex husband were also featured. her relationships with her parents and her now ex husband were also featured. her relationships with her parents and her now ex husband were also featured. her relationships with her parents and her now ex husband were also featured.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her relationships with her parents and her now ex husband were also featured', 'her relationships with her parents and her now ex husband were also featured', 'her relationships with her parents and her now ex husband were also featured', 'her relationships with her parents and her now ex husband were also featured', 'her relationships with her parents and her now ex husband were also featured']
|
|
[
"it was built in the side of the ancient sea around now",
"it was built in the sight of the ancient sea around now",
"it was built near the side of the ancient sea around now",
"it was built in the sight of the ancient sea around us",
"it was built in the side of the ancient city around now"
] |
it was built near the site of the ancient city erana
|
it was built in the side of the ancient sea around now.
|
it was built in the sight of the ancient sea around now. it was built near the side of the ancient sea around now. it was built in the sight of the ancient sea around us. it was built in the side of the ancient city around now.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was built in the side of the ancient sea around now', 'it was built in the sight of the ancient sea around now', 'it was built near the side of the ancient sea around now', 'it was built in the sight of the ancient sea around us', 'it was built in the side of the ancient city around now']
|
|
[
"subsequently the artificial grots took out the place of natural ones",
"subsequently the artificial grots took out the place of the natural ones",
"subsequently the artificial grotesque took out the place of natural ones",
"subsequently the artificial grotesque took out the place of natural ones",
"subsequently the artificial grots took out the place of the natural ones"
] |
subsequently artificial grottoes took the place of natural ones
|
subsequently the artificial grots took out the place of natural ones.
|
subsequently the artificial grots took out the place of the natural ones. subsequently the artificial grotesque took out the place of natural ones. subsequently the artificial grotesque took out the place of natural ones. subsequently the artificial grots took out the place of the natural ones.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['subsequently the artificial grots took out the place of natural ones', 'subsequently the artificial grots took out the place of the natural ones', 'subsequently the artificial grotesque took out the place of natural ones', 'subsequently the artificial grotesque took out the place of natural ones', 'subsequently the artificial grots took out the place of the natural ones']
|
|
[
"the unincorporated communities of copen squadron henry vesville and poland are located in the town",
"the unincorporated communities of copen squadron henry vsville and poland are located in the town",
"the unincorporated communities of copen is corner henry vesville and poland are located in the town",
"the unincorporated communities of copen squadron henry and poland are located in the town",
"the unincorporated communities of copen is corner henry vsville and poland are located in the town"
] |
the unincorporated communities of coppens corner henrysville and poland are located in the town
|
the unincorporated communities of copen squadron henry vesville and poland are located in the town.
|
the unincorporated communities of copen squadron henry vsville and poland are located in the town. the unincorporated communities of copen is corner henry vesville and poland are located in the town. the unincorporated communities of copen squadron henry and poland are located in the town. the unincorporated communities of copen is corner henry vsville and poland are located in the town.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unincorporated communities of copen squadron henry vesville and poland are located in the town', 'the unincorporated communities of copen squadron henry vsville and poland are located in the town', 'the unincorporated communities of copen is corner henry vesville and poland are located in the town', 'the unincorporated communities of copen squadron henry and poland are located in the town', 'the unincorporated communities of copen is corner henry vsville and poland are located in the town']
|
|
[
"it engages extensively in civic works projects",
"it engages extensively in civic works projects",
"it engages extensively in civic works and projects",
"it engages extensively in civic works projects",
"it engages extensively in civic works projects"
] |
it engages extensively in civic works projects
|
it engages extensively in civic works projects.
|
it engages extensively in civic works projects. it engages extensively in civic works and projects. it engages extensively in civic works projects. it engages extensively in civic works projects.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it engages extensively in civic works projects', 'it engages extensively in civic works projects', 'it engages extensively in civic works and projects', 'it engages extensively in civic works projects', 'it engages extensively in civic works projects']
|
|
[
"tarsheri school entrance qualifications and vocational qualifications are provided by other organizations",
"tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations",
"tarsheri school entrance qualifications and vocational qualifications are provided by other organizations",
"tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations",
"tarsheri school interns qualifications and vocational qualifications are provided by other organizations"
] |
tertiary school entrance qualifications and vocational qualifications are provided by other organizations
|
tarsheri school entrance qualifications and vocational qualifications are provided by other organizations.
|
tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations. tarsheri school entrance qualifications and vocational qualifications are provided by other organizations. tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations. tarsheri school interns qualifications and vocational qualifications are provided by other organizations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tarsheri school entrance qualifications and vocational qualifications are provided by other organizations', 'tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations', 'tarsheri school entrance qualifications and vocational qualifications are provided by other organizations', 'tarsheri schooling trends qualifications and vocational qualifications are provided by other organizations', 'tarsheri school interns qualifications and vocational qualifications are provided by other organizations']
|
|
[
"he gives feedback on reading from his work and speaks at writer is conferences",
"he gives feedback on readings from his work and speaks at writer is conferences",
"he gives free control readings from his work and speaks at writer is conferences",
"he gives feedback on reading from his work and speaks at writers conferences",
"he gives feedback on readings from his work and speaks at writers conferences"
] |
he gives frequent readings from his work and speaks at writers conferences
|
he gives feedback on reading from his work and speaks at writer is conferences.
|
he gives feedback on readings from his work and speaks at writer is conferences. he gives free control readings from his work and speaks at writer is conferences. he gives feedback on reading from his work and speaks at writers conferences. he gives feedback on readings from his work and speaks at writers conferences.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he gives feedback on reading from his work and speaks at writer is conferences', 'he gives feedback on readings from his work and speaks at writer is conferences', 'he gives free control readings from his work and speaks at writer is conferences', 'he gives feedback on reading from his work and speaks at writers conferences', 'he gives feedback on readings from his work and speaks at writers conferences']
|
|
[
"reliable and move on rouge",
"reliable and move on rouge",
"reliable and moulin rouge",
"reliable and moulin rouge",
"reliable and move on rouge"
] |
reliable and moulin rouge
|
reliable and move on rouge.
|
reliable and move on rouge. reliable and moulin rouge. reliable and moulin rouge. reliable and move on rouge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['reliable and move on rouge', 'reliable and move on rouge', 'reliable and moulin rouge', 'reliable and moulin rouge', 'reliable and move on rouge']
|
|
[
"it is also played at every nottingham forest home match",
"it is also played at every nottingham forest home match",
"it is also played at every nottingham forest home match",
"it is also played at every nottingham forest homematch",
"it is also played at every nottingham forrest home match"
] |
it is also played at every nottingham forest home match
|
it is also played at every nottingham forest home match.
|
it is also played at every nottingham forest home match. it is also played at every nottingham forest home match. it is also played at every nottingham forest homematch. it is also played at every nottingham forrest home match.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also played at every nottingham forest home match', 'it is also played at every nottingham forest home match', 'it is also played at every nottingham forest home match', 'it is also played at every nottingham forest homematch', 'it is also played at every nottingham forrest home match']
|
|
[
"for traditionally state park is nearby",
"for germany state park is nearby",
"unfortunately state park is nearby",
"fortunately state park is nearby",
"for traditionally saint park is nearby"
] |
fort ridgely state park is nearby
|
for traditionally state park is nearby.
|
for germany state park is nearby. unfortunately state park is nearby. fortunately state park is nearby. for traditionally saint park is nearby.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for traditionally state park is nearby', 'for germany state park is nearby', 'unfortunately state park is nearby', 'fortunately state park is nearby', 'for traditionally saint park is nearby']
|
|
[
"the ensign branch is no longer navigable but is still partially watered",
"the ensign branch is no longer navigable but is still partially watered",
"the ensign branch is no longer navigable but is still partially watered",
"the ensign branch is no longer navigable but is still partially watered",
"the ensen branch is no longer navigable but is still partially watered"
] |
the anson branch is no longer navigable but is still partially watered
|
the ensign branch is no longer navigable but is still partially watered.
|
the ensign branch is no longer navigable but is still partially watered. the ensign branch is no longer navigable but is still partially watered. the ensign branch is no longer navigable but is still partially watered. the ensen branch is no longer navigable but is still partially watered.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the ensign branch is no longer navigable but is still partially watered', 'the ensign branch is no longer navigable but is still partially watered', 'the ensign branch is no longer navigable but is still partially watered', 'the ensign branch is no longer navigable but is still partially watered', 'the ensen branch is no longer navigable but is still partially watered']
|
|
[
"more and more search engines these days are moving to a hybrid based model",
"more and more search engines these days are moving to a hybrid based model",
"more and more search engines these days are moving to a hybrid based model",
"more and more search engines these days are moving to a hybrid based model",
"more and more search engines these days are moving to a hybrid based model"
] |
more and more search engines these days are moving to a hybrid based model
|
more and more search engines these days are moving to a hybrid based model.
|
more and more search engines these days are moving to a hybrid based model. more and more search engines these days are moving to a hybrid based model. more and more search engines these days are moving to a hybrid based model. more and more search engines these days are moving to a hybrid based model.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['more and more search engines these days are moving to a hybrid based model', 'more and more search engines these days are moving to a hybrid based model', 'more and more search engines these days are moving to a hybrid based model', 'more and more search engines these days are moving to a hybrid based model', 'more and more search engines these days are moving to a hybrid based model']
|
|
[
"after earning his doctorate he took up a series of professorships",
"after earning his doctorate he took up a series of professorships",
"after earning his doctorate he took up a series of professorships",
"after earning his doctorate he took up a series of professorships",
"after earning his doctorate he took up a series of professorships"
] |
after earning his doctorate he took up a series of professorships
|
after earning his doctorate he took up a series of professorships.
|
after earning his doctorate he took up a series of professorships. after earning his doctorate he took up a series of professorships. after earning his doctorate he took up a series of professorships. after earning his doctorate he took up a series of professorships.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after earning his doctorate he took up a series of professorships', 'after earning his doctorate he took up a series of professorships', 'after earning his doctorate he took up a series of professorships', 'after earning his doctorate he took up a series of professorships', 'after earning his doctorate he took up a series of professorships']
|
|
[
"the young boy with a broken arm sleeping in a hospital bed",
"the young boy with a broken arm sleeping in a hospital bed",
"the young boy with a broken arm sleeping in a hospital bed",
"the young boy with a black and i am sleeping in a hospital bed",
"the young boy with a broken arm sleeping in a horse brew bed"
] |
a young boy with a broken arm sleeping in a hospital bed
|
the young boy with a broken arm sleeping in a hospital bed.
|
the young boy with a broken arm sleeping in a hospital bed. the young boy with a broken arm sleeping in a hospital bed. the young boy with a black and i am sleeping in a hospital bed. the young boy with a broken arm sleeping in a horse brew bed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the young boy with a broken arm sleeping in a hospital bed', 'the young boy with a broken arm sleeping in a hospital bed', 'the young boy with a broken arm sleeping in a hospital bed', 'the young boy with a black and i am sleeping in a hospital bed', 'the young boy with a broken arm sleeping in a horse brew bed']
|
|
[
"a man looks down at a collection of glass blown lamps and other small glass products",
"a man looks down at a collection of glass blown lamps and other small glass permits",
"a man looks down at a collection of glass blown lamps and other small glass pyramids",
"a man looks down at a collection of glass blown lambs and other small glass perlits",
"a man looks down at a collection of glass blown lamps and other small glass permits"
] |
a man looks down at a collection of glassblown lamps and other small glass products
|
a man looks down at a collection of glass blown lamps and other small glass products.
|
a man looks down at a collection of glass blown lamps and other small glass permits. a man looks down at a collection of glass blown lamps and other small glass pyramids. a man looks down at a collection of glass blown lambs and other small glass perlits. a man looks down at a collection of glass blown lamps and other small glass permits.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man looks down at a collection of glass blown lamps and other small glass products', 'a man looks down at a collection of glass blown lamps and other small glass permits', 'a man looks down at a collection of glass blown lamps and other small glass pyramids', 'a man looks down at a collection of glass blown lambs and other small glass perlits', 'a man looks down at a collection of glass blown lamps and other small glass permits']
|
|
[
"it was the last piece i wrote before i left india",
"it was the last piece i wrote before i left in dear",
"it was the last piece i wrote before i left in dear",
"it was the last piece i wrote before i left in dear",
"it was the last piece i wrote before i left india"
] |
it was the last piece i wrote before i left india
|
it was the last piece i wrote before i left india.
|
it was the last piece i wrote before i left in dear. it was the last piece i wrote before i left in dear. it was the last piece i wrote before i left in dear. it was the last piece i wrote before i left india.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the last piece i wrote before i left india', 'it was the last piece i wrote before i left in dear', 'it was the last piece i wrote before i left in dear', 'it was the last piece i wrote before i left in dear', 'it was the last piece i wrote before i left india']
|
|
[
"opportunities for funding may also be available to those who qualify for assistance",
"opportunities for funding may also be available to those who qualify for assistance",
"opportunities for funding may also be available to those who qualify for assistance",
"opportunities for funding may also be available to those who qualify for assistance",
"opportunities for funding may also be available to those who qualify for assistance"
] |
opportunities for funding may also be available to those who qualify for assistance
|
opportunities for funding may also be available to those who qualify for assistance.
|
opportunities for funding may also be available to those who qualify for assistance. opportunities for funding may also be available to those who qualify for assistance. opportunities for funding may also be available to those who qualify for assistance. opportunities for funding may also be available to those who qualify for assistance.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['opportunities for funding may also be available to those who qualify for assistance', 'opportunities for funding may also be available to those who qualify for assistance', 'opportunities for funding may also be available to those who qualify for assistance', 'opportunities for funding may also be available to those who qualify for assistance', 'opportunities for funding may also be available to those who qualify for assistance']
|
|
[
"three men are looking forward and laughing",
"three men are looking forward and laughing",
"three men are looking forward in laughing",
"three men are looking forward in laughing",
"three men are looking forward and laughing"
] |
three men are looking forward and laughing
|
three men are looking forward and laughing.
|
three men are looking forward and laughing. three men are looking forward in laughing. three men are looking forward in laughing. three men are looking forward and laughing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three men are looking forward and laughing', 'three men are looking forward and laughing', 'three men are looking forward in laughing', 'three men are looking forward in laughing', 'three men are looking forward and laughing']
|
|
[
"previously caught was held in a camp in southeast jefferson",
"previously caught was held in a mock cabin southeast jefferson",
"previously caught was held in a lock cabin southeast jefferson",
"previously caught was held in a locked cabin southeast jefferson",
"previously caught was held in a log cabin southeast jefferson"
] |
previously court was held in a log cabin southeast of jefferson
|
previously caught was held in a camp in southeast jefferson.
|
previously caught was held in a mock cabin southeast jefferson. previously caught was held in a lock cabin southeast jefferson. previously caught was held in a locked cabin southeast jefferson. previously caught was held in a log cabin southeast jefferson.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['previously caught was held in a camp in southeast jefferson', 'previously caught was held in a mock cabin southeast jefferson', 'previously caught was held in a lock cabin southeast jefferson', 'previously caught was held in a locked cabin southeast jefferson', 'previously caught was held in a log cabin southeast jefferson']
|
|
[
"i am sure i am surprised at that",
"i am sure i am surprised at that",
"i am sure i am surprised at that",
"i am sure i am surprised at that",
"i am sure i am surprised at that"
] |
i am sure i am surprised at that
|
i am sure i am surprised at that.
|
i am sure i am surprised at that. i am sure i am surprised at that. i am sure i am surprised at that. i am sure i am surprised at that.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i am sure i am surprised at that', 'i am sure i am surprised at that', 'i am sure i am surprised at that', 'i am sure i am surprised at that', 'i am sure i am surprised at that']
|
|
[
"all but the next day",
"from orbit the next day",
"it is okay from orbit the next day",
"it is ok from orbit the next day",
"from all but the next day"
] |
it decayed from orbit the next day
|
all but the next day.
|
from orbit the next day. it is okay from orbit the next day. it is ok from orbit the next day. from all but the next day.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all but the next day', 'from orbit the next day', 'it is okay from orbit the next day', 'it is ok from orbit the next day', 'from all but the next day']
|
|
[
"kermann is working independently on jazz music compilations",
"kerman is working independently on jazz music compilations",
"kermann is working independently on jazz music compulations",
"kerman is working independently on jazz music compulations",
"carmen is working independently on jazz music compilations"
] |
kerman is working independently on jazz music compilations
|
kermann is working independently on jazz music compilations.
|
kerman is working independently on jazz music compilations. kermann is working independently on jazz music compulations. kerman is working independently on jazz music compulations. carmen is working independently on jazz music compilations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kermann is working independently on jazz music compilations', 'kerman is working independently on jazz music compilations', 'kermann is working independently on jazz music compulations', 'kerman is working independently on jazz music compulations', 'carmen is working independently on jazz music compilations']
|
|
[
"tucker operated between the west coast and hawaii through the end of the year",
"tucker operated between the west coast and hawaii through the end of the year",
"taka operated between the west coast and hawaii through the end of the year",
"taka operated between the west coast and hawaii through the end of the year",
"tucker operated between the west coast and hawaii through the end of the year"
] |
tucker operated between the west coast and hawaii through the end of the year
|
tucker operated between the west coast and hawaii through the end of the year.
|
tucker operated between the west coast and hawaii through the end of the year. taka operated between the west coast and hawaii through the end of the year. taka operated between the west coast and hawaii through the end of the year. tucker operated between the west coast and hawaii through the end of the year.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tucker operated between the west coast and hawaii through the end of the year', 'tucker operated between the west coast and hawaii through the end of the year', 'taka operated between the west coast and hawaii through the end of the year', 'taka operated between the west coast and hawaii through the end of the year', 'tucker operated between the west coast and hawaii through the end of the year']
|
|
[
"sub click or affections are common with clinical side spraying sporadically in the herd",
"subclaim core affections are common with clinical side spraying sporadically in the herd",
"sub click or affections are common with clinical science praying sporadically in the herd",
"sub click or affections are common with clinical sides of the brain sporadically in the herd",
"sub click or affections are common with clinical sides of your brain sporadically in the herd"
] |
subclinical infections are common with clinical signs occurring sporadically in a herd
|
sub click or affections are common with clinical side spraying sporadically in the herd.
|
subclaim core affections are common with clinical side spraying sporadically in the herd. sub click or affections are common with clinical science praying sporadically in the herd. sub click or affections are common with clinical sides of the brain sporadically in the herd. sub click or affections are common with clinical sides of your brain sporadically in the herd.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sub click or affections are common with clinical side spraying sporadically in the herd', 'subclaim core affections are common with clinical side spraying sporadically in the herd', 'sub click or affections are common with clinical science praying sporadically in the herd', 'sub click or affections are common with clinical sides of the brain sporadically in the herd', 'sub click or affections are common with clinical sides of your brain sporadically in the herd']
|
|
[
"he was interred at the hong kong cemetery",
"he was interred at the hong kong cemetery",
"he was intern at the hong kong cemetery",
"he was intern at the hong kong cemetery",
"he was interred at the hong kong cemetery"
] |
he was interred at the hong kong cemetery
|
he was interred at the hong kong cemetery.
|
he was interred at the hong kong cemetery. he was intern at the hong kong cemetery. he was intern at the hong kong cemetery. he was interred at the hong kong cemetery.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was interred at the hong kong cemetery', 'he was interred at the hong kong cemetery', 'he was intern at the hong kong cemetery', 'he was intern at the hong kong cemetery', 'he was interred at the hong kong cemetery']
|
|
[
"droplets of water as he sits in a shallow pool",
"droplets of water as he sits in a shallow pool",
"drop lots of water as he sits in a shallow pool",
"drops of water as he sits in a shallow pool",
"droplets of water as he sits in a shallow pool"
] |
a toddler catches droplets of water as he sits in a shallow pool
|
droplets of water as he sits in a shallow pool.
|
droplets of water as he sits in a shallow pool. drop lots of water as he sits in a shallow pool. drops of water as he sits in a shallow pool. droplets of water as he sits in a shallow pool.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['droplets of water as he sits in a shallow pool', 'droplets of water as he sits in a shallow pool', 'drop lots of water as he sits in a shallow pool', 'drops of water as he sits in a shallow pool', 'droplets of water as he sits in a shallow pool']
|
|
[
"dorsumood to flood era championship listening where he timmed with jame lidard",
"dorsumood to flood era championship listening where he timmed with jame lidahard",
"dorsumood to flood era championship listening where he timmed with jame liddhard",
"dorsumood to fledera championship listing where he teamed with jame lidahard",
"dorsumood to flood era championship listening where he timbre with jame lidard"
] |
darsow moved on to florida championship wrestling where he teamed with jim neidhart
|
dorsumood to flood era championship listening where he timmed with jame lidard.
|
dorsumood to flood era championship listening where he timmed with jame lidahard. dorsumood to flood era championship listening where he timmed with jame liddhard. dorsumood to fledera championship listing where he teamed with jame lidahard. dorsumood to flood era championship listening where he timbre with jame lidard.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dorsumood to flood era championship listening where he timmed with jame lidard', 'dorsumood to flood era championship listening where he timmed with jame lidahard', 'dorsumood to flood era championship listening where he timmed with jame liddhard', 'dorsumood to fledera championship listing where he teamed with jame lidahard', 'dorsumood to flood era championship listening where he timbre with jame lidard']
|
|
[
"however such notes have yet to be observed",
"however such notes are yet to be observed",
"however such knots have yet to be observed",
"however search notes have yet to be observed",
"however such nots have yet to be observed"
] |
however such knots have yet to be observed
|
however such notes have yet to be observed.
|
however such notes are yet to be observed. however such knots have yet to be observed. however search notes have yet to be observed. however such nots have yet to be observed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however such notes have yet to be observed', 'however such notes are yet to be observed', 'however such knots have yet to be observed', 'however search notes have yet to be observed', 'however such nots have yet to be observed']
|
|
[
"a collage of one person climbing up cliff",
"a collage of one person climbing a cliff",
"a collage of one person climbing a cliff",
"a collage of one person climbing up cliff",
"a collage of one person climbing up clip"
] |
a collage of one person climbing a cliff
|
a collage of one person climbing up cliff.
|
a collage of one person climbing a cliff. a collage of one person climbing a cliff. a collage of one person climbing up cliff. a collage of one person climbing up clip.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a collage of one person climbing up cliff', 'a collage of one person climbing a cliff', 'a collage of one person climbing a cliff', 'a collage of one person climbing up cliff', 'a collage of one person climbing up clip']
|
|
[
"he then moved to new york city and wrote for many musicals and reviews",
"he then moved to new york city and wrote from an english course on reviews",
"he then moved to new york city and worked for many musicals and reviews",
"he then moved to new york city and wrote for many musical reviews",
"he then moved to new york city and wrote for many musicals and reviews"
] |
he then moved to new york city and wrote for many musicals and revues
|
he then moved to new york city and wrote for many musicals and reviews.
|
he then moved to new york city and wrote from an english course on reviews. he then moved to new york city and worked for many musicals and reviews. he then moved to new york city and wrote for many musical reviews. he then moved to new york city and wrote for many musicals and reviews.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he then moved to new york city and wrote for many musicals and reviews', 'he then moved to new york city and wrote from an english course on reviews', 'he then moved to new york city and worked for many musicals and reviews', 'he then moved to new york city and wrote for many musical reviews', 'he then moved to new york city and wrote for many musicals and reviews']
|
|
[
"there she wore the same sheet of ihram that ami had to wear earlier",
"there she wore the same sheet of ehram that ami had to wear earlier",
"there she wore the same sheet of iham that ami had to wear earlier",
"there she wore the same sheet of ihamna ami head to wear earlier",
"there she wore the same sheet of aham that ami had to wear earlier"
] |
there she wore the same sheets of ihram that ammi had to were earlier
|
there she wore the same sheet of ihram that ami had to wear earlier.
|
there she wore the same sheet of ehram that ami had to wear earlier. there she wore the same sheet of iham that ami had to wear earlier. there she wore the same sheet of ihamna ami head to wear earlier. there she wore the same sheet of aham that ami had to wear earlier.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there she wore the same sheet of ihram that ami had to wear earlier', 'there she wore the same sheet of ehram that ami had to wear earlier', 'there she wore the same sheet of iham that ami had to wear earlier', 'there she wore the same sheet of ihamna ami head to wear earlier', 'there she wore the same sheet of aham that ami had to wear earlier']
|
|
[
"spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape",
"spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape",
"spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape",
"spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape",
"spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape"
] |
spider man and betty subsequently provoked hobgoblin into confessing in framing ned on tape
|
spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape.
|
spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape. spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape. spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape. spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape', 'spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape', 'spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape', 'spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape', 'spider man and betty subsequently provoked hobgoblin into confessing and framing ned on tape']
|
|
[
"it ruins the family aspect that held this group together",
"it ruins the family aspect that held these groups together",
"it ruins the family aspect that held these group together",
"it ruins the family aspect that held these group together",
"it ruins the family aspect that held these group together"
] |
it ruins the family aspect that held this group together
|
it ruins the family aspect that held this group together.
|
it ruins the family aspect that held these groups together. it ruins the family aspect that held these group together. it ruins the family aspect that held these group together. it ruins the family aspect that held these group together.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it ruins the family aspect that held this group together', 'it ruins the family aspect that held these groups together', 'it ruins the family aspect that held these group together', 'it ruins the family aspect that held these group together', 'it ruins the family aspect that held these group together']
|
|
[
"his mother died while kinner was young",
"his mother died while kinder was young",
"his mother died while skinner was young",
"his mother died while kiner was young",
"his mother died while kinner was young"
] |
his mother died while skinner was young
|
his mother died while kinner was young.
|
his mother died while kinder was young. his mother died while skinner was young. his mother died while kiner was young. his mother died while kinner was young.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his mother died while kinner was young', 'his mother died while kinder was young', 'his mother died while skinner was young', 'his mother died while kiner was young', 'his mother died while kinner was young']
|
|
[
"i need a expedite of this ear anyway",
"i need a tax write of this ear anyway",
"i need a expedite of this ear anyway",
"i need x rite of this ear anyway",
"i need x rite off this ear anyway"
] |
i need a tax write off this year anyway
|
i need a expedite of this ear anyway.
|
i need a tax write of this ear anyway. i need a expedite of this ear anyway. i need x rite of this ear anyway. i need x rite off this ear anyway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i need a expedite of this ear anyway', 'i need a tax write of this ear anyway', 'i need a expedite of this ear anyway', 'i need x rite of this ear anyway', 'i need x rite off this ear anyway']
|
|
[
"french was known for his exceptional memory",
"french was known for his exceptional memory",
"french was known for his exceptional memory",
"french was known for his exceptional memory",
"french was known for his exceptional memory"
] |
french was known for his exceptional memory
|
french was known for his exceptional memory.
|
french was known for his exceptional memory. french was known for his exceptional memory. french was known for his exceptional memory. french was known for his exceptional memory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['french was known for his exceptional memory', 'french was known for his exceptional memory', 'french was known for his exceptional memory', 'french was known for his exceptional memory', 'french was known for his exceptional memory']
|
|
[
"greenberg doctors",
"greenberg doctors",
"greenberg doctors",
"greenberg doctors",
"greenberg doctors"
] |
greenberg drs
|
greenberg doctors.
|
greenberg doctors. greenberg doctors. greenberg doctors. greenberg doctors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['greenberg doctors', 'greenberg doctors', 'greenberg doctors', 'greenberg doctors', 'greenberg doctors']
|
|
[
"he also penned altarpiece for san diego is dilly of freaky",
"he also penned altarpiece for san diego is dilly of freaky",
"he also penned altarpiece for san diego is dilly of freaky",
"he also pin altarpiece for san diego is dilly of freaky",
"he also pen altarpiece for san diego is dilly of freaky"
] |
he also painted an altarpiece for sant eligio degli orefici
|
he also penned altarpiece for san diego is dilly of freaky.
|
he also penned altarpiece for san diego is dilly of freaky. he also penned altarpiece for san diego is dilly of freaky. he also pin altarpiece for san diego is dilly of freaky. he also pen altarpiece for san diego is dilly of freaky.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also penned altarpiece for san diego is dilly of freaky', 'he also penned altarpiece for san diego is dilly of freaky', 'he also penned altarpiece for san diego is dilly of freaky', 'he also pin altarpiece for san diego is dilly of freaky', 'he also pen altarpiece for san diego is dilly of freaky']
|
|
[
"every year the trust organizes the sub tory to the sea event",
"every year the trust organizes the sub tree to the sea event",
"every year the trust organizes the sub tory to the sea of n",
"every year the trust organizes the sub tory to the sea event",
"every year the trust organizes the sub tory to the sea of n"
] |
every year the trust organizes the sudbury to the sea event
|
every year the trust organizes the sub tory to the sea event.
|
every year the trust organizes the sub tree to the sea event. every year the trust organizes the sub tory to the sea of n. every year the trust organizes the sub tory to the sea event. every year the trust organizes the sub tory to the sea of n.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['every year the trust organizes the sub tory to the sea event', 'every year the trust organizes the sub tree to the sea event', 'every year the trust organizes the sub tory to the sea of n', 'every year the trust organizes the sub tory to the sea event', 'every year the trust organizes the sub tory to the sea of n']
|
|
[
"instructions stage for online activities and assignments",
"instructors stage for online activities and assignments",
"instructions stage for online activities and assignments",
"instructures stage for online activities and assignments",
"instructions stage for online activities and assignments"
] |
instructors teach through online activities and assignments
|
instructions stage for online activities and assignments.
|
instructors stage for online activities and assignments. instructions stage for online activities and assignments. instructures stage for online activities and assignments. instructions stage for online activities and assignments.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['instructions stage for online activities and assignments', 'instructors stage for online activities and assignments', 'instructions stage for online activities and assignments', 'instructures stage for online activities and assignments', 'instructions stage for online activities and assignments']
|
|
[
"letting himself out of the rest of his term are really right",
"letting himself out of the rest of his term already died",
"let it himself out of the rest of his term already died",
"that also out of the rest of his term are really right",
"letting himself out of the rest of his term are really nice"
] |
barrett would serve out the rest of his term after he died
|
letting himself out of the rest of his term are really right.
|
letting himself out of the rest of his term already died. let it himself out of the rest of his term already died. that also out of the rest of his term are really right. letting himself out of the rest of his term are really nice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['letting himself out of the rest of his term are really right', 'letting himself out of the rest of his term already died', 'let it himself out of the rest of his term already died', 'that also out of the rest of his term are really right', 'letting himself out of the rest of his term are really nice']
|
|
[
"it is currently owned by union investment",
"it is currently owned by union investment",
"it is currently owned by union investment",
"it is currently owned by union investment",
"it is currently owned by union investment"
] |
it is currently owned by union investment
|
it is currently owned by union investment.
|
it is currently owned by union investment. it is currently owned by union investment. it is currently owned by union investment. it is currently owned by union investment.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is currently owned by union investment', 'it is currently owned by union investment', 'it is currently owned by union investment', 'it is currently owned by union investment', 'it is currently owned by union investment']
|
|
[
"the main industries are bananas and rice",
"the main industries are bananas and rice",
"the main industries are bananas and rice",
"the main industries are bananas and rice",
"the main industries are bananas and rice"
] |
the main industries are bananas and rice
|
the main industries are bananas and rice.
|
the main industries are bananas and rice. the main industries are bananas and rice. the main industries are bananas and rice. the main industries are bananas and rice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main industries are bananas and rice', 'the main industries are bananas and rice', 'the main industries are bananas and rice', 'the main industries are bananas and rice', 'the main industries are bananas and rice']
|
|
[
"no day forest environmental education center or pennsylvania street park is in kumru is township",
"no day forest environmental education center of pennsylvania street park is in kumru is township",
"no day forrest is environmental education center our pennsylvania street park is in kumru is township",
"no day forest environmental education center or pennsylvania street park is in kumru is township",
"no day for its environmental education center our pennsylvania street park is in kumru is township"
] |
nolde forest environmental education center a pennsylvania state park is in cumru township
|
no day forest environmental education center or pennsylvania street park is in kumru is township.
|
no day forest environmental education center of pennsylvania street park is in kumru is township. no day forrest is environmental education center our pennsylvania street park is in kumru is township. no day forest environmental education center or pennsylvania street park is in kumru is township. no day for its environmental education center our pennsylvania street park is in kumru is township.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['no day forest environmental education center or pennsylvania street park is in kumru is township', 'no day forest environmental education center of pennsylvania street park is in kumru is township', 'no day forrest is environmental education center our pennsylvania street park is in kumru is township', 'no day forest environmental education center or pennsylvania street park is in kumru is township', 'no day for its environmental education center our pennsylvania street park is in kumru is township']
|
|
[
"it was at the time the highest skyscraper in latin america",
"it was at the time the highest skyscraper in latin america",
"it was at the time the highest skyscraper in latin america",
"it was at the time the highest skyscraper in latin america",
"it was at the time the highest skyscraper in latin america"
] |
it was at the time the highest skyscraper in latin america
|
it was at the time the highest skyscraper in latin america.
|
it was at the time the highest skyscraper in latin america. it was at the time the highest skyscraper in latin america. it was at the time the highest skyscraper in latin america. it was at the time the highest skyscraper in latin america.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was at the time the highest skyscraper in latin america', 'it was at the time the highest skyscraper in latin america', 'it was at the time the highest skyscraper in latin america', 'it was at the time the highest skyscraper in latin america', 'it was at the time the highest skyscraper in latin america']
|
|
[
"the population of galshenstown is estimated to be nearly one million",
"the population of gulshenstown is estimated to be nearly one million",
"the population of gausschenstown is estimated to be nearly one million",
"the population of galshenstown is estimated to be nearly one million",
"the population of gulshinstown is estimated to be nearly one million"
] |
the population of gulshan town is estimated to be nearly one million
|
the population of galshenstown is estimated to be nearly one million.
|
the population of gulshenstown is estimated to be nearly one million. the population of gausschenstown is estimated to be nearly one million. the population of galshenstown is estimated to be nearly one million. the population of gulshinstown is estimated to be nearly one million.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the population of galshenstown is estimated to be nearly one million', 'the population of gulshenstown is estimated to be nearly one million', 'the population of gausschenstown is estimated to be nearly one million', 'the population of galshenstown is estimated to be nearly one million', 'the population of gulshinstown is estimated to be nearly one million']
|
|
[
"this is stored for several weeks before the festival begins",
"this is stored for several weeks before the festival begins",
"this is stored for several weeks before the festival begins",
"this is stored for several weeks before the festival begins",
"this is stored for several weeks before the festival begins"
] |
this is stored for several weeks before the festival begins
|
this is stored for several weeks before the festival begins.
|
this is stored for several weeks before the festival begins. this is stored for several weeks before the festival begins. this is stored for several weeks before the festival begins. this is stored for several weeks before the festival begins.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is stored for several weeks before the festival begins', 'this is stored for several weeks before the festival begins', 'this is stored for several weeks before the festival begins', 'this is stored for several weeks before the festival begins', 'this is stored for several weeks before the festival begins']
|
|
[
"a mod largely takes the form of formal competitions",
"a mod largely takes the form of formal competitions",
"a mod largely takes the form of formal competitions",
"a mord largely takes the form of formal competitions",
"a mod largely takes the form of formal competitions"
] |
a mod largely takes the form of formal competitions
|
a mod largely takes the form of formal competitions.
|
a mod largely takes the form of formal competitions. a mod largely takes the form of formal competitions. a mord largely takes the form of formal competitions. a mod largely takes the form of formal competitions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a mod largely takes the form of formal competitions', 'a mod largely takes the form of formal competitions', 'a mod largely takes the form of formal competitions', 'a mord largely takes the form of formal competitions', 'a mod largely takes the form of formal competitions']
|
|
[
"superannuation funds are tightly regulated",
"superannuation funds are tightly regulated",
"super annuation funds are tightly regulated",
"super animation funds are tightly regulated",
"superannuation funds are tightly regulated"
] |
superannuation funds are tightly regulated
|
superannuation funds are tightly regulated.
|
superannuation funds are tightly regulated. super annuation funds are tightly regulated. super animation funds are tightly regulated. superannuation funds are tightly regulated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['superannuation funds are tightly regulated', 'superannuation funds are tightly regulated', 'super annuation funds are tightly regulated', 'super animation funds are tightly regulated', 'superannuation funds are tightly regulated']
|
|
[
"and she could not get to him",
"and she could not go to him",
"and she could not act to him",
"and she could not guide to him",
"and she could not go back to him"
] |
and she could not get to him
|
and she could not get to him.
|
and she could not go to him. and she could not act to him. and she could not guide to him. and she could not go back to him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and she could not get to him', 'and she could not go to him', 'and she could not act to him', 'and she could not guide to him', 'and she could not go back to him']
|
|
[
"oshami have done too",
"oh i may have done too",
"oshami have done too",
"oh sam may have done too",
"oops i may have done too"
] |
eorsa may have done too
|
oshami have done too.
|
oh i may have done too. oshami have done too. oh sam may have done too. oops i may have done too.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['oshami have done too', 'oh i may have done too', 'oshami have done too', 'oh sam may have done too', 'oops i may have done too']
|
|
[
"occasionally residents of hodgis grove can rent the point to host parties",
"occasionally residents of hotchkiss grove can rent the point to host parties",
"occasionally residents of hodgis grove can rent the point to host parties",
"occasionally residents of hodgisgrove can rent the point to host parties",
"occasionally residents of hotchkissgrove can rent the point to host parties"
] |
occasionally residents of hotchkiss grove can rent the point to host parties
|
occasionally residents of hodgis grove can rent the point to host parties.
|
occasionally residents of hotchkiss grove can rent the point to host parties. occasionally residents of hodgis grove can rent the point to host parties. occasionally residents of hodgisgrove can rent the point to host parties. occasionally residents of hotchkissgrove can rent the point to host parties.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['occasionally residents of hodgis grove can rent the point to host parties', 'occasionally residents of hotchkiss grove can rent the point to host parties', 'occasionally residents of hodgis grove can rent the point to host parties', 'occasionally residents of hodgisgrove can rent the point to host parties', 'occasionally residents of hotchkissgrove can rent the point to host parties']
|
|
[
"at the same time he was still enthralled to play indian film music",
"at the same time he was still enthralled to play indian film music",
"at the same time he was still enthralled by indian film music",
"at the same time he was still enthralled about indian film music",
"at the same time he was still enthralled by indian film music"
] |
at the same time he was still enthralled by indian film music
|
at the same time he was still enthralled to play indian film music.
|
at the same time he was still enthralled to play indian film music. at the same time he was still enthralled by indian film music. at the same time he was still enthralled about indian film music. at the same time he was still enthralled by indian film music.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the same time he was still enthralled to play indian film music', 'at the same time he was still enthralled to play indian film music', 'at the same time he was still enthralled by indian film music', 'at the same time he was still enthralled about indian film music', 'at the same time he was still enthralled by indian film music']
|
|
[
"a woman in a black dress is blowing giant bubbles in the street",
"a woman in a black dress who is blowing giant bubbles in the street",
"a woman in a black dress who is blowing giant bubbles in the street",
"a woman in a black dress who is blowing giant bubbles in the street",
"a woman in a black dress who is blowing giant bubbles in the street"
] |
a woman in a black dress is blowing giant bubbles in the street
|
a woman in a black dress is blowing giant bubbles in the street.
|
a woman in a black dress who is blowing giant bubbles in the street. a woman in a black dress who is blowing giant bubbles in the street. a woman in a black dress who is blowing giant bubbles in the street. a woman in a black dress who is blowing giant bubbles in the street.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a woman in a black dress is blowing giant bubbles in the street', 'a woman in a black dress who is blowing giant bubbles in the street', 'a woman in a black dress who is blowing giant bubbles in the street', 'a woman in a black dress who is blowing giant bubbles in the street', 'a woman in a black dress who is blowing giant bubbles in the street']
|
|
[
"a girl hanging from a basketball goal while a boy on the ground looks on",
"a girl hanging from a basketball goal while a boy on the ground looks on",
"a girl hanging from a basketball goal while a boy on the grand looks on",
"a girl hanging from a basketball goal while a boy on the ground looks on",
"a girl hanging from a basketball goal while a boy on the ground looks on"
] |
a girl hanging from a basketball goal while a boy on the ground looks on
|
a girl hanging from a basketball goal while a boy on the ground looks on.
|
a girl hanging from a basketball goal while a boy on the ground looks on. a girl hanging from a basketball goal while a boy on the grand looks on. a girl hanging from a basketball goal while a boy on the ground looks on. a girl hanging from a basketball goal while a boy on the ground looks on.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a girl hanging from a basketball goal while a boy on the ground looks on', 'a girl hanging from a basketball goal while a boy on the ground looks on', 'a girl hanging from a basketball goal while a boy on the grand looks on', 'a girl hanging from a basketball goal while a boy on the ground looks on', 'a girl hanging from a basketball goal while a boy on the ground looks on']
|
|
[
"he was the first of mostly white democrats to switch parties",
"he was the first of mostly white democrats to switch parties",
"he was the first of mostly white democrats to switch parties",
"he was the first of mostly white demo credits to switch parties",
"he was the first of mostly white democrats to switch by these"
] |
he was the first of mostly white democrats to switch parties
|
he was the first of mostly white democrats to switch parties.
|
he was the first of mostly white democrats to switch parties. he was the first of mostly white democrats to switch parties. he was the first of mostly white demo credits to switch parties. he was the first of mostly white democrats to switch by these.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was the first of mostly white democrats to switch parties', 'he was the first of mostly white democrats to switch parties', 'he was the first of mostly white democrats to switch parties', 'he was the first of mostly white demo credits to switch parties', 'he was the first of mostly white democrats to switch by these']
|
|
[
"aquamanis learned auslund to communicate with his wife is hearing and paid parents",
"aquamanis learned auslan to communicate with his wife is hearing and paid parents",
"aquamanus learned auslund to communicate with his wife is hearing and paid parents",
"aquamanis learned ausland to communicate with his wife is hearing and paid parents",
"aquamanus learned auslan to communicate with his wife is hearing and paid parents"
] |
akermanis learned auslan to communicate with his wife is hearing impaired parents
|
aquamanis learned auslund to communicate with his wife is hearing and paid parents.
|
aquamanis learned auslan to communicate with his wife is hearing and paid parents. aquamanus learned auslund to communicate with his wife is hearing and paid parents. aquamanis learned ausland to communicate with his wife is hearing and paid parents. aquamanus learned auslan to communicate with his wife is hearing and paid parents.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['aquamanis learned auslund to communicate with his wife is hearing and paid parents', 'aquamanis learned auslan to communicate with his wife is hearing and paid parents', 'aquamanus learned auslund to communicate with his wife is hearing and paid parents', 'aquamanis learned ausland to communicate with his wife is hearing and paid parents', 'aquamanus learned auslan to communicate with his wife is hearing and paid parents']
|
|
[
"the o is also played pre season friendlies at latent cricket ground for several seasons",
"the o is also played pre season friendlies at late and cricket ground for several seasons",
"the o is also played pre season friendlies at layton cricket ground for several seasons",
"the o is also played pre season friendlies at layton cricket ground for several seasons",
"the o is also play pre season friendlies at latent cricket ground for several seasons"
] |
the o is also played pre season friendlies at leyton cricket ground for several seasons
|
the o is also played pre season friendlies at latent cricket ground for several seasons.
|
the o is also played pre season friendlies at late and cricket ground for several seasons. the o is also played pre season friendlies at layton cricket ground for several seasons. the o is also played pre season friendlies at layton cricket ground for several seasons. the o is also play pre season friendlies at latent cricket ground for several seasons.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the o is also played pre season friendlies at latent cricket ground for several seasons', 'the o is also played pre season friendlies at late and cricket ground for several seasons', 'the o is also played pre season friendlies at layton cricket ground for several seasons', 'the o is also played pre season friendlies at layton cricket ground for several seasons', 'the o is also play pre season friendlies at latent cricket ground for several seasons']
|
|
[
"voting fishing swimming hiking and hunting opportunities are bound",
"voting fishing swimming hiking and hunting opportunities are bound",
"boating fishing swimming hiking and hunting opportunities are bound",
"voting fishing swimming hiking and hunting opportunities abound",
"voting fishing swimming hiking and hunting opportunities are bound"
] |
boating fishing swimming hiking and hunting opportunities abound
|
voting fishing swimming hiking and hunting opportunities are bound.
|
voting fishing swimming hiking and hunting opportunities are bound. boating fishing swimming hiking and hunting opportunities are bound. voting fishing swimming hiking and hunting opportunities abound. voting fishing swimming hiking and hunting opportunities are bound.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['voting fishing swimming hiking and hunting opportunities are bound', 'voting fishing swimming hiking and hunting opportunities are bound', 'boating fishing swimming hiking and hunting opportunities are bound', 'voting fishing swimming hiking and hunting opportunities abound', 'voting fishing swimming hiking and hunting opportunities are bound']
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.