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
|
|---|---|---|---|---|---|---|---|---|
[
"that was a definitely silence",
"there was a deafly silence",
"that was a deafly silence",
"there was a deathly silence",
"that was a deathly silence"
] |
there was a deathly silence
|
that was a definitely silence.
|
there was a deafly silence. that was a deafly silence. there was a deathly silence. that was a deathly silence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that was a definitely silence', 'there was a deafly silence', 'that was a deafly silence', 'there was a deathly silence', 'that was a deathly silence']
|
|
[
"buried in the cemetery the house is built as richard sloan and his wife charlotte",
"buried in the cemetery the house is built as rich as flown and is wife charlotte",
"buried in the cemetery the house is built as rich and flown and is wife charlotte",
"buried in the cemetery the house is built as richard slone and his wife charlotte",
"barried in the cemetery the house is built as rich as flown and is wife charlotte"
] |
buried in the cemetery are the house is builder richard sloan and his wife charlotte
|
buried in the cemetery the house is built as richard sloan and his wife charlotte.
|
buried in the cemetery the house is built as rich as flown and is wife charlotte. buried in the cemetery the house is built as rich and flown and is wife charlotte. buried in the cemetery the house is built as richard slone and his wife charlotte. barried in the cemetery the house is built as rich as flown and is wife charlotte.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['buried in the cemetery the house is built as richard sloan and his wife charlotte', 'buried in the cemetery the house is built as rich as flown and is wife charlotte', 'buried in the cemetery the house is built as rich and flown and is wife charlotte', 'buried in the cemetery the house is built as richard slone and his wife charlotte', 'barried in the cemetery the house is built as rich as flown and is wife charlotte']
|
|
[
"the album was raised unedited in canada using the original monster tapes",
"the album was raised and edited in canada using the original monster tapes",
"the album was raised and edited in canada using the original monster tapes",
"the album was raised unedited in canada using the original monster tapes",
"the album was raised unedited in canada using the original monster tapes"
] |
the album was released un edited in canada using the original master tapes
|
the album was raised unedited in canada using the original monster tapes.
|
the album was raised and edited in canada using the original monster tapes. the album was raised and edited in canada using the original monster tapes. the album was raised unedited in canada using the original monster tapes. the album was raised unedited in canada using the original monster tapes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the album was raised unedited in canada using the original monster tapes', 'the album was raised and edited in canada using the original monster tapes', 'the album was raised and edited in canada using the original monster tapes', 'the album was raised unedited in canada using the original monster tapes', 'the album was raised unedited in canada using the original monster tapes']
|
|
[
"the sussex captain wished to increase his team is playing strength",
"lock the sussex captain wished to increase his team is playing strength",
"lock the sussex captain wish to increase his team is playing strength",
"the sussex captain wished to increase his team is playing strength",
"lock the sussex captain wished to increase his team is playing strength"
] |
murdoch the sussex captain wished to increase his team is playing strength
|
the sussex captain wished to increase his team is playing strength.
|
lock the sussex captain wished to increase his team is playing strength. lock the sussex captain wish to increase his team is playing strength. the sussex captain wished to increase his team is playing strength. lock the sussex captain wished to increase his team is playing strength.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the sussex captain wished to increase his team is playing strength', 'lock the sussex captain wished to increase his team is playing strength', 'lock the sussex captain wish to increase his team is playing strength', 'the sussex captain wished to increase his team is playing strength', 'lock the sussex captain wished to increase his team is playing strength']
|
|
[
"and also the worst",
"and also the worst",
"and also the worst",
"and also the worst",
"and also the worst"
] |
and also the worst
|
and also the worst.
|
and also the worst. and also the worst. and also the worst. and also the worst.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and also the worst', 'and also the worst', 'and also the worst', 'and also the worst', 'and also the worst']
|
|
[
"several soldiers and super neumeraries were also awarded medals and citations",
"several soldiers and supernumeraries were also awarded medals and citations",
"several soldiers and super humanaries were also awarded medals and citations",
"several soldiers and super numeraries were also awarded medals and citations",
"several soldiers and super numeraries were also awarded medals and citations"
] |
several soldiers and supernumeraries were also awarded medals and citations
|
several soldiers and super neumeraries were also awarded medals and citations.
|
several soldiers and supernumeraries were also awarded medals and citations. several soldiers and super humanaries were also awarded medals and citations. several soldiers and super numeraries were also awarded medals and citations. several soldiers and super numeraries were also awarded medals and citations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['several soldiers and super neumeraries were also awarded medals and citations', 'several soldiers and supernumeraries were also awarded medals and citations', 'several soldiers and super humanaries were also awarded medals and citations', 'several soldiers and super numeraries were also awarded medals and citations', 'several soldiers and super numeraries were also awarded medals and citations']
|
|
[
"razor was never really able to feel at home in any of these places",
"razer was never really able to feel at home in any of these places",
"razor was never really able to feel at home in any of this places",
"razer was never really able to feel at home in any of this places",
"razor was never really able to film at home in any of these places"
] |
reiser was never really able to feel at home in any of these places
|
razor was never really able to feel at home in any of these places.
|
razer was never really able to feel at home in any of these places. razor was never really able to feel at home in any of this places. razer was never really able to feel at home in any of this places. razor was never really able to film at home in any of these places.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['razor was never really able to feel at home in any of these places', 'razer was never really able to feel at home in any of these places', 'razor was never really able to feel at home in any of this places', 'razer was never really able to feel at home in any of this places', 'razor was never really able to film at home in any of these places']
|
|
[
"i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case",
"i am agreed with cardinal hume is assessment that there was uncertainty in london is case",
"but i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case",
"but i am agreed with cardinal hume is assessment that there was uncertainty in london is case",
"roma agreed with cardinal hume is assessment that there was uncertainty in london is case"
] |
rome agreed with cardinal hume is assessment that there was uncertainty in leonard is case
|
i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case.
|
i am agreed with cardinal hume is assessment that there was uncertainty in london is case. but i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case. but i am agreed with cardinal hume is assessment that there was uncertainty in london is case. roma agreed with cardinal hume is assessment that there was uncertainty in london is case.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case', 'i am agreed with cardinal hume is assessment that there was uncertainty in london is case', 'but i am agreed with cardinal hume is assessment that there was uncertainty in leonard is case', 'but i am agreed with cardinal hume is assessment that there was uncertainty in london is case', 'roma agreed with cardinal hume is assessment that there was uncertainty in london is case']
|
|
[
"the animated family television film produced by walt disney television animation",
"the animated family television film produced by walt disney television animation",
"the animated family television film produced by walt disney is television animation",
"the animated family television film produced by walt disney television animation",
"the animated family television film produced by walt disney television animation"
] |
the animated family television film produced by walt disney television animation
|
the animated family television film produced by walt disney television animation.
|
the animated family television film produced by walt disney television animation. the animated family television film produced by walt disney is television animation. the animated family television film produced by walt disney television animation. the animated family television film produced by walt disney television animation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the animated family television film produced by walt disney television animation', 'the animated family television film produced by walt disney television animation', 'the animated family television film produced by walt disney is television animation', 'the animated family television film produced by walt disney television animation', 'the animated family television film produced by walt disney television animation']
|
|
[
"judging something you had not seen those worst things you can really do",
"judging something you had not seen there is a worst thing you can really do",
"judging something you have not seen there is a worst thing you can really do",
"judging something you had not seen the worst thing you can really do",
"judging something you had not seen that is the worst thing you can really do"
] |
judging something you have not seen is the worst thing you can really do
|
judging something you had not seen those worst things you can really do.
|
judging something you had not seen there is a worst thing you can really do. judging something you have not seen there is a worst thing you can really do. judging something you had not seen the worst thing you can really do. judging something you had not seen that is the worst thing you can really do.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['judging something you had not seen those worst things you can really do', 'judging something you had not seen there is a worst thing you can really do', 'judging something you have not seen there is a worst thing you can really do', 'judging something you had not seen the worst thing you can really do', 'judging something you had not seen that is the worst thing you can really do']
|
|
[
"this always stay in a fictional summer camp run by zone candy",
"this always stay in a fictional summer camp run by zone candy",
"this always stay in a fictional summer camp run by zone candy",
"this always stay in a fictional summer camp run by zone candy",
"this always stay in a fictional summer camp run by zone candy"
] |
the show is set in a fictional summer camp run by john candy
|
this always stay in a fictional summer camp run by zone candy.
|
this always stay in a fictional summer camp run by zone candy. this always stay in a fictional summer camp run by zone candy. this always stay in a fictional summer camp run by zone candy. this always stay in a fictional summer camp run by zone candy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this always stay in a fictional summer camp run by zone candy', 'this always stay in a fictional summer camp run by zone candy', 'this always stay in a fictional summer camp run by zone candy', 'this always stay in a fictional summer camp run by zone candy', 'this always stay in a fictional summer camp run by zone candy']
|
|
[
"it has been rated as australia is most expensive suburb",
"it has been rated as australia is most expensive suburb",
"it has been rated as australia is most expensive suburb",
"it has been rated as australia is most expensive suburb",
"it has been rated as australia is most expensive suburb"
] |
it has been rated as australia is most expensive suburb
|
it has been rated as australia is most expensive suburb.
|
it has been rated as australia is most expensive suburb. it has been rated as australia is most expensive suburb. it has been rated as australia is most expensive suburb. it has been rated as australia is most expensive suburb.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has been rated as australia is most expensive suburb', 'it has been rated as australia is most expensive suburb', 'it has been rated as australia is most expensive suburb', 'it has been rated as australia is most expensive suburb', 'it has been rated as australia is most expensive suburb']
|
|
[
"a monday order is a quam category satisfying the following conditions",
"avanti order is a quam category satisfying the following conditions",
"quantity order is a quam category satisfying the following conditions",
"the quantity order is a quam category satisfying the following conditions",
"a monday order is a calm category satisfying the following conditions"
] |
a multiorder is a comcategory satisfying the following conditions
|
a monday order is a quam category satisfying the following conditions.
|
avanti order is a quam category satisfying the following conditions. quantity order is a quam category satisfying the following conditions. the quantity order is a quam category satisfying the following conditions. a monday order is a calm category satisfying the following conditions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a monday order is a quam category satisfying the following conditions', 'avanti order is a quam category satisfying the following conditions', 'quantity order is a quam category satisfying the following conditions', 'the quantity order is a quam category satisfying the following conditions', 'a monday order is a calm category satisfying the following conditions']
|
|
[
"it is in the center of the country and its capital was peckwin",
"it is in the center of the country and its capital was peckwin",
"it is in the center of the country and its capital was peckwin",
"it is in the center of the country and its capital was peckwin",
"it is in the center of the country and its capital was pequan"
] |
it is in the center of the country and its capital was peqin
|
it is in the center of the country and its capital was peckwin.
|
it is in the center of the country and its capital was peckwin. it is in the center of the country and its capital was peckwin. it is in the center of the country and its capital was peckwin. it is in the center of the country and its capital was pequan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is in the center of the country and its capital was peckwin', 'it is in the center of the country and its capital was peckwin', 'it is in the center of the country and its capital was peckwin', 'it is in the center of the country and its capital was peckwin', 'it is in the center of the country and its capital was pequan']
|
|
[
"it was clear this would never happen",
"it was clear that this would never happen",
"it was clear this would never happen",
"it was clear this would never happen",
"it was clear this would never happen"
] |
it was clear this would never happen
|
it was clear this would never happen.
|
it was clear that this would never happen. it was clear this would never happen. it was clear this would never happen. it was clear this would never happen.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was clear this would never happen', 'it was clear that this would never happen', 'it was clear this would never happen', 'it was clear this would never happen', 'it was clear this would never happen']
|
|
[
"is only logan township statewide",
"is only logan township statewide",
"is only logan township statewide",
"is only logan township statewide",
"is only logan township statewide"
] |
it is the only logan township statewide
|
is only logan township statewide.
|
is only logan township statewide. is only logan township statewide. is only logan township statewide. is only logan township statewide.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['is only logan township statewide', 'is only logan township statewide', 'is only logan township statewide', 'is only logan township statewide', 'is only logan township statewide']
|
|
[
"the film has since been distributed by the criterion collection",
"the film has since been distributed by the criterion collection",
"the film has since been distributed by the criterion collection",
"the film has since been distributed by the kriterian collection",
"the film has since been distributed by the criterion connection"
] |
the film has since been distributed by the criterion collection
|
the film has since been distributed by the criterion collection.
|
the film has since been distributed by the criterion collection. the film has since been distributed by the criterion collection. the film has since been distributed by the kriterian collection. the film has since been distributed by the criterion connection.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the film has since been distributed by the criterion collection', 'the film has since been distributed by the criterion collection', 'the film has since been distributed by the criterion collection', 'the film has since been distributed by the kriterian collection', 'the film has since been distributed by the criterion connection']
|
|
[
"i wonder if it has had turned involved in it",
"i wonder if it started at turn involved in it",
"i wonder if this could have had turned involved in it",
"i wonder if it started at the end of the day",
"i wonder if it has had turned involved in it"
] |
i wondered if scudder had turned in already
|
i wonder if it has had turned involved in it.
|
i wonder if it started at turn involved in it. i wonder if this could have had turned involved in it. i wonder if it started at the end of the day. i wonder if it has had turned involved in it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i wonder if it has had turned involved in it', 'i wonder if it started at turn involved in it', 'i wonder if this could have had turned involved in it', 'i wonder if it started at the end of the day', 'i wonder if it has had turned involved in it']
|
|
[
"hale and pays play pieces",
"heal and paste blade pieces",
"hail and peace blade peasants",
"hail and p",
"hale and pays play a piece in"
] |
hale and pace play peasants
|
hale and pays play pieces.
|
heal and paste blade pieces. hail and peace blade peasants. hail and p. hale and pays play a piece in.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hale and pays play pieces', 'heal and paste blade pieces', 'hail and peace blade peasants', 'hail and p', 'hale and pays play a piece in']
|
|
[
"ugly gone at generally positive reviews from music critics",
"ugly garnered generally positive reviews from music critics",
"ugly ghana generally positive reviews from music critics",
"ugly ghana generally positive reviews from music critics",
"ugly gone at generally positive reviews from music critics"
] |
ugly garnered generally positive reviews from music critics
|
ugly gone at generally positive reviews from music critics.
|
ugly garnered generally positive reviews from music critics. ugly ghana generally positive reviews from music critics. ugly ghana generally positive reviews from music critics. ugly gone at generally positive reviews from music critics.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ugly gone at generally positive reviews from music critics', 'ugly garnered generally positive reviews from music critics', 'ugly ghana generally positive reviews from music critics', 'ugly ghana generally positive reviews from music critics', 'ugly gone at generally positive reviews from music critics']
|
|
[
"jack dempsey called him the father of modern boxing",
"jack dempsey called him the father of modern boxing",
"jack dempsey called him the father of modern boxing",
"jack dempsey called him the father of modern boxing",
"jack dempsey called him the father of modern boxing"
] |
jack dempsey called him the father of modern boxing
|
jack dempsey called him the father of modern boxing.
|
jack dempsey called him the father of modern boxing. jack dempsey called him the father of modern boxing. jack dempsey called him the father of modern boxing. jack dempsey called him the father of modern boxing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['jack dempsey called him the father of modern boxing', 'jack dempsey called him the father of modern boxing', 'jack dempsey called him the father of modern boxing', 'jack dempsey called him the father of modern boxing', 'jack dempsey called him the father of modern boxing']
|
|
[
"a few sawmills along the way gave the liner a business hauling lumber",
"a few sawmills along the way gave the liner a business hauling rumble",
"a few sawmills along the way gave the liner business hauling lumber",
"a few sawmills along the way gave the liner business hauling rumble",
"a few sawmills along the way gave the liner business hauling lumbar"
] |
a few sawmills along the way gave the line a business hauling lumber
|
a few sawmills along the way gave the liner a business hauling lumber.
|
a few sawmills along the way gave the liner a business hauling rumble. a few sawmills along the way gave the liner business hauling lumber. a few sawmills along the way gave the liner business hauling rumble. a few sawmills along the way gave the liner business hauling lumbar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a few sawmills along the way gave the liner a business hauling lumber', 'a few sawmills along the way gave the liner a business hauling rumble', 'a few sawmills along the way gave the liner business hauling lumber', 'a few sawmills along the way gave the liner business hauling rumble', 'a few sawmills along the way gave the liner business hauling lumbar']
|
|
[
"some languages have only two classes whereas bats has eight",
"some languages have only two classes whereas bats has eight",
"some languages have only two classes whereas bats has eight",
"some languages have only two classes whereas bats has eight",
"some languages have only two classes whereas bats has eight"
] |
some languages have only two classes whereas bats has eight
|
some languages have only two classes whereas bats has eight.
|
some languages have only two classes whereas bats has eight. some languages have only two classes whereas bats has eight. some languages have only two classes whereas bats has eight. some languages have only two classes whereas bats has eight.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some languages have only two classes whereas bats has eight', 'some languages have only two classes whereas bats has eight', 'some languages have only two classes whereas bats has eight', 'some languages have only two classes whereas bats has eight', 'some languages have only two classes whereas bats has eight']
|
|
[
"do you worry about me",
"do you worry about me",
"do you worry about me",
"do you worry about me",
"do you worry about me"
] |
do you worry about me
|
do you worry about me.
|
do you worry about me. do you worry about me. do you worry about me. do you worry about me.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['do you worry about me', 'do you worry about me', 'do you worry about me', 'do you worry about me', 'do you worry about me']
|
|
[
"i mess it in oh yes",
"i mess it in oh yes",
"i mess it in oh yes",
"i mess it in oh yes",
"i mess it in oh yes"
] |
i muttered an oh yes
|
i mess it in oh yes.
|
i mess it in oh yes. i mess it in oh yes. i mess it in oh yes. i mess it in oh yes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i mess it in oh yes', 'i mess it in oh yes', 'i mess it in oh yes', 'i mess it in oh yes', 'i mess it in oh yes']
|
|
[
"illumination of the dial link will also reduce the susceptibility to the countermeasures",
"elimination of the dial link will also reduce the susceptibility to the countermeasures",
"illumination of the dial link will also reduce the susceptibility to the count of measures",
"elimination of the dial link will also reduce the susceptibility to the count of measures",
"illumination of the dial link would also reduce the susceptibility to the countermeasures"
] |
elimination of the datalink would also reduce the susceptibility to countermeasures
|
illumination of the dial link will also reduce the susceptibility to the countermeasures.
|
elimination of the dial link will also reduce the susceptibility to the countermeasures. illumination of the dial link will also reduce the susceptibility to the count of measures. elimination of the dial link will also reduce the susceptibility to the count of measures. illumination of the dial link would also reduce the susceptibility to the countermeasures.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['illumination of the dial link will also reduce the susceptibility to the countermeasures', 'elimination of the dial link will also reduce the susceptibility to the countermeasures', 'illumination of the dial link will also reduce the susceptibility to the count of measures', 'elimination of the dial link will also reduce the susceptibility to the count of measures', 'illumination of the dial link would also reduce the susceptibility to the countermeasures']
|
|
[
"additionally the change allowed blubber to modernize the looks of vehicle",
"additionally the change allowed bloober to modernize the looks of vehicle",
"additionally the change allowed blubber to modernize the looks of vehicle",
"additionally the change allowed bluber to modernize the looks of vehicle",
"additionally the change allowed blubert to modernize the looks of vehicle"
] |
additionally the change allowed blue bird to modernize the looks of vehicle
|
additionally the change allowed blubber to modernize the looks of vehicle.
|
additionally the change allowed bloober to modernize the looks of vehicle. additionally the change allowed blubber to modernize the looks of vehicle. additionally the change allowed bluber to modernize the looks of vehicle. additionally the change allowed blubert to modernize the looks of vehicle.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['additionally the change allowed blubber to modernize the looks of vehicle', 'additionally the change allowed bloober to modernize the looks of vehicle', 'additionally the change allowed blubber to modernize the looks of vehicle', 'additionally the change allowed bluber to modernize the looks of vehicle', 'additionally the change allowed blubert to modernize the looks of vehicle']
|
|
[
"additionally they are more sensitive to social cues and social information",
"additionally they are more sensitive to social cues and social information",
"additionally they are more sensitive to social cues and social information",
"additionally they are more sensitive to social cues and social information",
"additionally they are more sensitive to social cues and social information"
] |
additionally they are more sensitive to social cues and social information
|
additionally they are more sensitive to social cues and social information.
|
additionally they are more sensitive to social cues and social information. additionally they are more sensitive to social cues and social information. additionally they are more sensitive to social cues and social information. additionally they are more sensitive to social cues and social information.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['additionally they are more sensitive to social cues and social information', 'additionally they are more sensitive to social cues and social information', 'additionally they are more sensitive to social cues and social information', 'additionally they are more sensitive to social cues and social information', 'additionally they are more sensitive to social cues and social information']
|
|
[
"park of the tone county park is in mountain lakes",
"park of the tone county park is in mountain lakes",
"park of the tone county park is in mountain legs",
"park of the thorn county park is in mountain lakes",
"park of the tone county park is in mountain leaks"
] |
part of the tourne county park is in mountain lakes
|
park of the tone county park is in mountain lakes.
|
park of the tone county park is in mountain lakes. park of the tone county park is in mountain legs. park of the thorn county park is in mountain lakes. park of the tone county park is in mountain leaks.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['park of the tone county park is in mountain lakes', 'park of the tone county park is in mountain lakes', 'park of the tone county park is in mountain legs', 'park of the thorn county park is in mountain lakes', 'park of the tone county park is in mountain leaks']
|
|
[
"grim harbors poorly contained desire for promotion preferably away from un exiting",
"grim harbors poorly contained desire for promotion preferably away from un exiting asphalt",
"grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt",
"grim harbors poorly contained desire for promotion preferably away from un exiting asphalt",
"grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt"
] |
grim harbors a poorly contained desire for promotion preferably away from unexciting gasforth
|
grim harbors poorly contained desire for promotion preferably away from un exiting.
|
grim harbors poorly contained desire for promotion preferably away from un exiting asphalt. grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt. grim harbors poorly contained desire for promotion preferably away from un exiting asphalt. grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['grim harbors poorly contained desire for promotion preferably away from un exiting', 'grim harbors poorly contained desire for promotion preferably away from un exiting asphalt', 'grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt', 'grim harbors poorly contained desire for promotion preferably away from un exiting asphalt', 'grim harbors are poorly contained desire for promotion preferably away from un exiting asphalt']
|
|
[
"he sings like a man possessed and wields a mean lead guitar",
"he sings like a man possessed and wields a mean lead guitar",
"he sings like a man possessed and wields a mean lead guitar",
"he sings like a man possessed and wields a mean lead guitar",
"he sings like a man possessed and wields a mean lead guitar"
] |
he sings like a man possessed and wields a mean lead guitar
|
he sings like a man possessed and wields a mean lead guitar.
|
he sings like a man possessed and wields a mean lead guitar. he sings like a man possessed and wields a mean lead guitar. he sings like a man possessed and wields a mean lead guitar. he sings like a man possessed and wields a mean lead guitar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he sings like a man possessed and wields a mean lead guitar', 'he sings like a man possessed and wields a mean lead guitar', 'he sings like a man possessed and wields a mean lead guitar', 'he sings like a man possessed and wields a mean lead guitar', 'he sings like a man possessed and wields a mean lead guitar']
|
|
[
"he remains the only fin to have won a motorcycle road racing world championship",
"he remains the only finn to have won a motorcycle road racing world championship",
"here remains the only fin to have won a motorcycle road racing world championship",
"he remains the only thing to have won a motorcycle road racing world championship",
"he remains the only fin to have won a motorcycle road raising world championship"
] |
he remains the only finn to have won a motorcycle road racing world championship
|
he remains the only fin to have won a motorcycle road racing world championship.
|
he remains the only finn to have won a motorcycle road racing world championship. here remains the only fin to have won a motorcycle road racing world championship. he remains the only thing to have won a motorcycle road racing world championship. he remains the only fin to have won a motorcycle road raising world championship.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he remains the only fin to have won a motorcycle road racing world championship', 'he remains the only finn to have won a motorcycle road racing world championship', 'here remains the only fin to have won a motorcycle road racing world championship', 'he remains the only thing to have won a motorcycle road racing world championship', 'he remains the only fin to have won a motorcycle road raising world championship']
|
|
[
"ulligan is an outpost in the northwest indian ocean",
"ulligan is an outpost in the north west indian ocean",
"ulligan is an outpost in the northwest indian ocean",
"mulligan is an outpost in the northwest indian ocean",
"mulligan is an outpost in the north west indian ocean"
] |
uligan is an outpost in the northwest indian ocean
|
ulligan is an outpost in the northwest indian ocean.
|
ulligan is an outpost in the north west indian ocean. ulligan is an outpost in the northwest indian ocean. mulligan is an outpost in the northwest indian ocean. mulligan is an outpost in the north west indian ocean.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ulligan is an outpost in the northwest indian ocean', 'ulligan is an outpost in the north west indian ocean', 'ulligan is an outpost in the northwest indian ocean', 'mulligan is an outpost in the northwest indian ocean', 'mulligan is an outpost in the north west indian ocean']
|
|
[
"the gala was fun",
"the gala was fun",
"the gola was fun",
"the gaula was fun",
"the gala was fun"
] |
the gala was fun
|
the gala was fun.
|
the gala was fun. the gola was fun. the gaula was fun. the gala was fun.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the gala was fun', 'the gala was fun', 'the gola was fun', 'the gaula was fun', 'the gala was fun']
|
|
[
"yet the music helps negate these greatest incidents",
"yet the music helps negate these greatest incidents",
"yet the music helps negate these greatest incidents",
"yet the music helps negate these greatest incidents",
"yet the music helps negate these greatest incidents"
] |
yet the music helps negate these criticisms
|
yet the music helps negate these greatest incidents.
|
yet the music helps negate these greatest incidents. yet the music helps negate these greatest incidents. yet the music helps negate these greatest incidents. yet the music helps negate these greatest incidents.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['yet the music helps negate these greatest incidents', 'yet the music helps negate these greatest incidents', 'yet the music helps negate these greatest incidents', 'yet the music helps negate these greatest incidents', 'yet the music helps negate these greatest incidents']
|
|
[
"the current pattern of the association is the school is eleventh principal mister wade hines",
"the current pattern of the association is the school is eleventh principal mister wade hines",
"the current pattern of the association is the school is eleventh principal mister wade heinz",
"the current pattern of the association is the school is eleventh principal mister wade hines",
"the current pattern of the association is the school is eleventh principal mister wade hines"
] |
the current patron of the association is the school is eleventh principal mister wade haynes
|
the current pattern of the association is the school is eleventh principal mister wade hines.
|
the current pattern of the association is the school is eleventh principal mister wade hines. the current pattern of the association is the school is eleventh principal mister wade heinz. the current pattern of the association is the school is eleventh principal mister wade hines. the current pattern of the association is the school is eleventh principal mister wade hines.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the current pattern of the association is the school is eleventh principal mister wade hines', 'the current pattern of the association is the school is eleventh principal mister wade hines', 'the current pattern of the association is the school is eleventh principal mister wade heinz', 'the current pattern of the association is the school is eleventh principal mister wade hines', 'the current pattern of the association is the school is eleventh principal mister wade hines']
|
|
[
"he settled in rotterdam where he became closely associated with the cape verdean community",
"he settled in rotterdam where he became closely associated with the cape verdean community",
"he settled in rotterdam where he became closely associated with the cape verdean community",
"he settled in rotterdam where he became closely associated with the cape verdean community",
"he settled in rotterdam where he became closely associated with the cape verdean community"
] |
he settled in rotterdam where he became closely associated with the cape verdean community
|
he settled in rotterdam where he became closely associated with the cape verdean community.
|
he settled in rotterdam where he became closely associated with the cape verdean community. he settled in rotterdam where he became closely associated with the cape verdean community. he settled in rotterdam where he became closely associated with the cape verdean community. he settled in rotterdam where he became closely associated with the cape verdean community.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he settled in rotterdam where he became closely associated with the cape verdean community', 'he settled in rotterdam where he became closely associated with the cape verdean community', 'he settled in rotterdam where he became closely associated with the cape verdean community', 'he settled in rotterdam where he became closely associated with the cape verdean community', 'he settled in rotterdam where he became closely associated with the cape verdean community']
|
|
[
"this is the shortest china national highway",
"this is the shortest china national highway",
"this is the shortest china national highway",
"this is the shortest china national highway",
"this is the shortest china national highway"
] |
this is the shortest china national highway
|
this is the shortest china national highway.
|
this is the shortest china national highway. this is the shortest china national highway. this is the shortest china national highway. this is the shortest china national highway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is the shortest china national highway', 'this is the shortest china national highway', 'this is the shortest china national highway', 'this is the shortest china national highway', 'this is the shortest china national highway']
|
|
[
"all tracks recorded during the art of browning sessions unless otherwise noted",
"all tracks recorded during the art of drowning sessions unless otherwise noted",
"all tracks recorded during the art of browning sessions unless otherwise noted",
"all tracks recorded during the art of drawing sessions unless otherwise noted",
"all tracks recorded during the art of browning sessions unless otherwise noted"
] |
all tracks recorded during the art of drowning sessions unless otherwise noted
|
all tracks recorded during the art of browning sessions unless otherwise noted.
|
all tracks recorded during the art of drowning sessions unless otherwise noted. all tracks recorded during the art of browning sessions unless otherwise noted. all tracks recorded during the art of drawing sessions unless otherwise noted. all tracks recorded during the art of browning sessions unless otherwise noted.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all tracks recorded during the art of browning sessions unless otherwise noted', 'all tracks recorded during the art of drowning sessions unless otherwise noted', 'all tracks recorded during the art of browning sessions unless otherwise noted', 'all tracks recorded during the art of drawing sessions unless otherwise noted', 'all tracks recorded during the art of browning sessions unless otherwise noted']
|
|
[
"it is manufactured by red kid vinciker",
"it is manufactured by red kid wincy curve",
"it is manufactured by redkid vinciker",
"it is manufactured by redkid vinciker",
"it is manufactured by red kid vincey curve"
] |
it is manufactured by reckitt benckiser
|
it is manufactured by red kid vinciker.
|
it is manufactured by red kid wincy curve. it is manufactured by redkid vinciker. it is manufactured by redkid vinciker. it is manufactured by red kid vincey curve.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is manufactured by red kid vinciker', 'it is manufactured by red kid wincy curve', 'it is manufactured by redkid vinciker', 'it is manufactured by redkid vinciker', 'it is manufactured by red kid vincey curve']
|
|
[
"from time to time the royal family visits the club is home matches",
"from time to time the royal family visits the club is home matches",
"from time to time the royal family visits the club is homematches",
"from time to time the royal family visits the club is home matches",
"from time to time the royal family visits the club is home matches"
] |
from time to time the royal family visits the clubs home matches
|
from time to time the royal family visits the club is home matches.
|
from time to time the royal family visits the club is home matches. from time to time the royal family visits the club is homematches. from time to time the royal family visits the club is home matches. from time to time the royal family visits the club is home matches.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['from time to time the royal family visits the club is home matches', 'from time to time the royal family visits the club is home matches', 'from time to time the royal family visits the club is homematches', 'from time to time the royal family visits the club is home matches', 'from time to time the royal family visits the club is home matches']
|
|
[
"through the adoption of classical motifs adam developed a new style of architectural decoration",
"through the adoption of classical motives adam developed a new style of architectural decoration",
"through the adoption of classical motifs adam developed a new style of architectural decoration",
"through the adoption of classical motifs i have developed a new style of architectural decoration",
"through the adoption of classical motives adam developed a new style of architectural decoration"
] |
through the adoption of classical motifs adam developed a new style of architectural decoration
|
through the adoption of classical motifs adam developed a new style of architectural decoration.
|
through the adoption of classical motives adam developed a new style of architectural decoration. through the adoption of classical motifs adam developed a new style of architectural decoration. through the adoption of classical motifs i have developed a new style of architectural decoration. through the adoption of classical motives adam developed a new style of architectural decoration.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['through the adoption of classical motifs adam developed a new style of architectural decoration', 'through the adoption of classical motives adam developed a new style of architectural decoration', 'through the adoption of classical motifs adam developed a new style of architectural decoration', 'through the adoption of classical motifs i have developed a new style of architectural decoration', 'through the adoption of classical motives adam developed a new style of architectural decoration']
|
|
[
"charlie shoots butler the gunman who shot button and killed most",
"charlie shoots butler the government who shot button and killed most",
"charlie shoots butler the government who shot a button and killed most",
"charlie shoots butler the gunman who shot button and killed most",
"charlie shoots butler at the government who shot button and killed most"
] |
charley shoots butler the gunman who shot button and killed mose
|
charlie shoots butler the gunman who shot button and killed most.
|
charlie shoots butler the government who shot button and killed most. charlie shoots butler the government who shot a button and killed most. charlie shoots butler the gunman who shot button and killed most. charlie shoots butler at the government who shot button and killed most.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['charlie shoots butler the gunman who shot button and killed most', 'charlie shoots butler the government who shot button and killed most', 'charlie shoots butler the government who shot a button and killed most', 'charlie shoots butler the gunman who shot button and killed most', 'charlie shoots butler at the government who shot button and killed most']
|
|
[
"the training sense is supervised by the army training command in lebsi",
"the training sense is supervised by the army training command in leipzig",
"the training sense is supervised by the army training command in lebsi",
"the training sense is supervised by the army training command in lebsie",
"the training sense is supervised by the army training command in lebsie"
] |
the training centers are supervised by the army training command in leipzig
|
the training sense is supervised by the army training command in lebsi.
|
the training sense is supervised by the army training command in leipzig. the training sense is supervised by the army training command in lebsi. the training sense is supervised by the army training command in lebsie. the training sense is supervised by the army training command in lebsie.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the training sense is supervised by the army training command in lebsi', 'the training sense is supervised by the army training command in leipzig', 'the training sense is supervised by the army training command in lebsi', 'the training sense is supervised by the army training command in lebsie', 'the training sense is supervised by the army training command in lebsie']
|
|
[
"the lateral relationship is a down fined shield",
"the lateral relationship is a downfin shape",
"the lateral relationship is a down finch shape",
"the lateral relationship is a downwind shield",
"the lateral relationship is a down fined sheet"
] |
the latter relationship is a town friendship
|
the lateral relationship is a down fined shield.
|
the lateral relationship is a downfin shape. the lateral relationship is a down finch shape. the lateral relationship is a downwind shield. the lateral relationship is a down fined sheet.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the lateral relationship is a down fined shield', 'the lateral relationship is a downfin shape', 'the lateral relationship is a down finch shape', 'the lateral relationship is a downwind shield', 'the lateral relationship is a down fined sheet']
|
|
[
"both singles reach number one on the r b chart",
"both singles reach number one on the r b chart",
"both singles reach number one on the r and b chart",
"both singles reach number one on the r and b chart",
"both singles reach number one on the r b chart"
] |
both singles reached number one on the r and b chart
|
both singles reach number one on the r b chart.
|
both singles reach number one on the r b chart. both singles reach number one on the r and b chart. both singles reach number one on the r and b chart. both singles reach number one on the r b chart.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both singles reach number one on the r b chart', 'both singles reach number one on the r b chart', 'both singles reach number one on the r and b chart', 'both singles reach number one on the r and b chart', 'both singles reach number one on the r b chart']
|
|
[
"man performing stunts with his motorcycle",
"man performing stunts with his motorcycle",
"man performing stunts with his motorcycle",
"man performing stunts with his motorcycle",
"man performing stunts with his motorcycle"
] |
man performing stunts with his motorcycle
|
man performing stunts with his motorcycle.
|
man performing stunts with his motorcycle. man performing stunts with his motorcycle. man performing stunts with his motorcycle. man performing stunts with his motorcycle.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['man performing stunts with his motorcycle', 'man performing stunts with his motorcycle', 'man performing stunts with his motorcycle', 'man performing stunts with his motorcycle', 'man performing stunts with his motorcycle']
|
|
[
"roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman",
"roger was the son of robert guscard and sicklegate an imposing warrior lombard noblewoman",
"roger was the son of robert gussard and sicklegate an imposing warrior lombard noblewoman",
"roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman",
"roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman"
] |
roger was the son of robert guiscard and sikelgaita an imposing warrior lombard noblewoman
|
roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman.
|
roger was the son of robert guscard and sicklegate an imposing warrior lombard noblewoman. roger was the son of robert gussard and sicklegate an imposing warrior lombard noblewoman. roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman. roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman', 'roger was the son of robert guscard and sicklegate an imposing warrior lombard noblewoman', 'roger was the son of robert gussard and sicklegate an imposing warrior lombard noblewoman', 'roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman', 'roger was the son of robert gustard and sicklegate an imposing warrior lombard noblewoman']
|
|
[
"he was the supporter of the russian fact in",
"he was a supporter of the russian fact in",
"he was the supporter of the russian factor",
"he was a supporter of the russian fact in",
"here is a supporter of the russian fact in"
] |
he was a supporter of the russian faction
|
he was the supporter of the russian fact in.
|
he was a supporter of the russian fact in. he was the supporter of the russian factor. he was a supporter of the russian fact in. here is a supporter of the russian fact in.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was the supporter of the russian fact in', 'he was a supporter of the russian fact in', 'he was the supporter of the russian factor', 'he was a supporter of the russian fact in', 'here is a supporter of the russian fact in']
|
|
[
"perhaps we could compare ourselves to algorithms",
"perhaps we could compare our cells to algorithms",
"perhaps we could compare ourselves to algorithms",
"perhaps we could compare ourselves to algorithms",
"perhaps we could compare ourselves to algorithms"
] |
perhaps we could compare our cells to algorithms
|
perhaps we could compare ourselves to algorithms.
|
perhaps we could compare our cells to algorithms. perhaps we could compare ourselves to algorithms. perhaps we could compare ourselves to algorithms. perhaps we could compare ourselves to algorithms.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['perhaps we could compare ourselves to algorithms', 'perhaps we could compare our cells to algorithms', 'perhaps we could compare ourselves to algorithms', 'perhaps we could compare ourselves to algorithms', 'perhaps we could compare ourselves to algorithms']
|
|
[
"kids packages also come with a cartoon child on the package",
"kids packages also come with a cartoon child on the package",
"kids packages also come with a cartoon child on the package",
"kids packages also come with a cartoon child on the package",
"kids packages also come with a cartoon child on the package"
] |
kid is packages also come with a cartoon child on the package
|
kids packages also come with a cartoon child on the package.
|
kids packages also come with a cartoon child on the package. kids packages also come with a cartoon child on the package. kids packages also come with a cartoon child on the package. kids packages also come with a cartoon child on the package.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kids packages also come with a cartoon child on the package', 'kids packages also come with a cartoon child on the package', 'kids packages also come with a cartoon child on the package', 'kids packages also come with a cartoon child on the package', 'kids packages also come with a cartoon child on the package']
|
|
[
"protection racketeers are not necessarily criminals",
"protection rectias are not necessarily criminals",
"protection racketeers are not necessarily criminals",
"protection recordiers are not necessarily criminals",
"protection recorders are not necessarily criminals"
] |
protection racketeers are not necessarily criminals
|
protection racketeers are not necessarily criminals.
|
protection rectias are not necessarily criminals. protection racketeers are not necessarily criminals. protection recordiers are not necessarily criminals. protection recorders are not necessarily criminals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['protection racketeers are not necessarily criminals', 'protection rectias are not necessarily criminals', 'protection racketeers are not necessarily criminals', 'protection recordiers are not necessarily criminals', 'protection recorders are not necessarily criminals']
|
|
[
"in the film terence mann interviews a number of people about graham",
"in the film terence mann interviews a number of people about graham",
"in the film terrence mann interviews a number of people about graham",
"in the film terence mann interviews a number of people aboard graham",
"in the film terence man interviews a number of people about graham"
] |
in the film terence mann interviews a number of people about graham
|
in the film terence mann interviews a number of people about graham.
|
in the film terence mann interviews a number of people about graham. in the film terrence mann interviews a number of people about graham. in the film terence mann interviews a number of people aboard graham. in the film terence man interviews a number of people about graham.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in the film terence mann interviews a number of people about graham', 'in the film terence mann interviews a number of people about graham', 'in the film terrence mann interviews a number of people about graham', 'in the film terence mann interviews a number of people aboard graham', 'in the film terence man interviews a number of people about graham']
|
|
[
"the original links were laid out by old tom morris",
"the original links were laid out by old tom morris",
"the original links were laid out by old term morris",
"the original links were laid out by old tom morris",
"the original links were laid out by old tom morris"
] |
the original links was laid out by old tom morris
|
the original links were laid out by old tom morris.
|
the original links were laid out by old tom morris. the original links were laid out by old term morris. the original links were laid out by old tom morris. the original links were laid out by old tom morris.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the original links were laid out by old tom morris', 'the original links were laid out by old tom morris', 'the original links were laid out by old term morris', 'the original links were laid out by old tom morris', 'the original links were laid out by old tom morris']
|
|
[
"he traveled widely to destinations such as africa greece and the united states",
"he traveled widely to destinations such as africa greece and the united states",
"he traveled widely to destinations such as africa greece and the united states",
"he traveled widely to destinations such as africa greece and the united states",
"he traveled widely to destinations such as africa greece and the united states"
] |
he traveled widely to destinations such as africa greece and the united states
|
he traveled widely to destinations such as africa greece and the united states.
|
he traveled widely to destinations such as africa greece and the united states. he traveled widely to destinations such as africa greece and the united states. he traveled widely to destinations such as africa greece and the united states. he traveled widely to destinations such as africa greece and the united states.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he traveled widely to destinations such as africa greece and the united states', 'he traveled widely to destinations such as africa greece and the united states', 'he traveled widely to destinations such as africa greece and the united states', 'he traveled widely to destinations such as africa greece and the united states', 'he traveled widely to destinations such as africa greece and the united states']
|
|
[
"the other one missing really is doctor is license from a fish caught silver",
"the other one missing really is doctor sizes from a fish court selva",
"the other one missing really is doctor is license from a fish court silver",
"the other one missing really is doctor zyzes from a fish court samba",
"the other one missing really is doctor zyzes from a fish court selva"
] |
the only one missing really is doctor zaius from a fish called selma
|
the other one missing really is doctor is license from a fish caught silver.
|
the other one missing really is doctor sizes from a fish court selva. the other one missing really is doctor is license from a fish court silver. the other one missing really is doctor zyzes from a fish court samba. the other one missing really is doctor zyzes from a fish court selva.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the other one missing really is doctor is license from a fish caught silver', 'the other one missing really is doctor sizes from a fish court selva', 'the other one missing really is doctor is license from a fish court silver', 'the other one missing really is doctor zyzes from a fish court samba', 'the other one missing really is doctor zyzes from a fish court selva']
|
|
[
"charles moves into george is place",
"the child moves into john is place",
"charles moves into john is place",
"the child moves into george is place",
"child moves into george is place"
] |
cheryl moves into george is place
|
charles moves into george is place.
|
the child moves into john is place. charles moves into john is place. the child moves into george is place. child moves into george is place.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['charles moves into george is place', 'the child moves into john is place', 'charles moves into john is place', 'the child moves into george is place', 'child moves into george is place']
|
|
[
"in america it is called ab kut at kudah",
"in america it is called ab kut at kudah",
"in america it is called ab kut at kudah",
"in america it is called ab kut at kudah",
"in america it is called ab kut at kudha"
] |
in amharic it is called ehb qud or quda
|
in america it is called ab kut at kudah.
|
in america it is called ab kut at kudah. in america it is called ab kut at kudah. in america it is called ab kut at kudah. in america it is called ab kut at kudha.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in america it is called ab kut at kudah', 'in america it is called ab kut at kudah', 'in america it is called ab kut at kudah', 'in america it is called ab kut at kudah', 'in america it is called ab kut at kudha']
|
|
[
"powers township was named for godham powers a minnesota politician who owned land there",
"power is township was named for godham powers a minnesota politician who owned land there",
"power township was named for godham powers a minnesota politician who owned land there",
"power township was named for godham power a minnesota politician who owned land there",
"powers township was named for gaurham powers a minnesota politician who owned land there"
] |
powers township was named for gorham powers a minnesota politician who owned land there
|
powers township was named for godham powers a minnesota politician who owned land there.
|
power is township was named for godham powers a minnesota politician who owned land there. power township was named for godham powers a minnesota politician who owned land there. power township was named for godham power a minnesota politician who owned land there. powers township was named for gaurham powers a minnesota politician who owned land there.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['powers township was named for godham powers a minnesota politician who owned land there', 'power is township was named for godham powers a minnesota politician who owned land there', 'power township was named for godham powers a minnesota politician who owned land there', 'power township was named for godham power a minnesota politician who owned land there', 'powers township was named for gaurham powers a minnesota politician who owned land there']
|
|
[
"fundamentally changing and industry quickly leaves little time to adapt",
"fundamentally changing and industry quickly gives little time to adapt",
"fundamentally changing and in the street quickly leaves little time to adapt",
"fundamentally changing and in the street quickly gives little time to adapt",
"fundamentally changing and industry quickly leaves little time to adapt"
] |
fundamentally changing an industry quickly leaves little time to adapt
|
fundamentally changing and industry quickly leaves little time to adapt.
|
fundamentally changing and industry quickly gives little time to adapt. fundamentally changing and in the street quickly leaves little time to adapt. fundamentally changing and in the street quickly gives little time to adapt. fundamentally changing and industry quickly leaves little time to adapt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fundamentally changing and industry quickly leaves little time to adapt', 'fundamentally changing and industry quickly gives little time to adapt', 'fundamentally changing and in the street quickly leaves little time to adapt', 'fundamentally changing and in the street quickly gives little time to adapt', 'fundamentally changing and industry quickly leaves little time to adapt']
|
|
[
"therefore we use log to help solving this problem",
"therefore we use log to help solving this problem",
"therefore we use log to help solving this problem",
"therefore we use log to help solving this problem",
"therefore we use log to help solving this problem"
] |
therefore we use log to help solving this problem
|
therefore we use log to help solving this problem.
|
therefore we use log to help solving this problem. therefore we use log to help solving this problem. therefore we use log to help solving this problem. therefore we use log to help solving this problem.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['therefore we use log to help solving this problem', 'therefore we use log to help solving this problem', 'therefore we use log to help solving this problem', 'therefore we use log to help solving this problem', 'therefore we use log to help solving this problem']
|
|
[
"what was born in ut in oregon",
"warped was born in ut in oregon",
"wopt was born in ut in oregon",
"what was born in u t oregon",
"what was born in ut in oregon"
] |
wachs was born in eugene oregon
|
what was born in ut in oregon.
|
warped was born in ut in oregon. wopt was born in ut in oregon. what was born in u t oregon. what was born in ut in oregon.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['what was born in ut in oregon', 'warped was born in ut in oregon', 'wopt was born in ut in oregon', 'what was born in u t oregon', 'what was born in ut in oregon']
|
|
[
"tennessee does not elect a lieutenant governor",
"tennessee does not elect a lieutenant governor",
"tennessee does not elect a lieutenant governor",
"tinesi does not elect a lieutenant governor",
"tanesi does not elect a lieutenant governor"
] |
tennessee does not elect a lieutenant governor
|
tennessee does not elect a lieutenant governor.
|
tennessee does not elect a lieutenant governor. tennessee does not elect a lieutenant governor. tinesi does not elect a lieutenant governor. tanesi does not elect a lieutenant governor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tennessee does not elect a lieutenant governor', 'tennessee does not elect a lieutenant governor', 'tennessee does not elect a lieutenant governor', 'tinesi does not elect a lieutenant governor', 'tanesi does not elect a lieutenant governor']
|
|
[
"now the disabled who is henceforth confined to bed",
"now the seaboard here is henceforth confined to bed",
"now the sailboat who is henceforth confined to bed",
"now the sayboard here is henceforth confined to bed",
"now the sayboard who is henceforth confined to bed"
] |
now disabled he was henceforth confined to bed
|
now the disabled who is henceforth confined to bed.
|
now the seaboard here is henceforth confined to bed. now the sailboat who is henceforth confined to bed. now the sayboard here is henceforth confined to bed. now the sayboard who is henceforth confined to bed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['now the disabled who is henceforth confined to bed', 'now the seaboard here is henceforth confined to bed', 'now the sailboat who is henceforth confined to bed', 'now the sayboard here is henceforth confined to bed', 'now the sayboard who is henceforth confined to bed']
|
|
[
"he became the author of thirty-nine books",
"he became the author of thirty-nine books",
"he became the author of thirty nine books",
"he became the author of thirty-nine books",
"he became the author of thirty-nine books"
] |
he became the author of thirty nine books
|
he became the author of thirty-nine books.
|
he became the author of thirty-nine books. he became the author of thirty nine books. he became the author of thirty-nine books. he became the author of thirty-nine books.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he became the author of thirty-nine books', 'he became the author of thirty-nine books', 'he became the author of thirty nine books', 'he became the author of thirty-nine books', 'he became the author of thirty-nine books']
|
|
[
"his whole heart ardent against the idea",
"his whole heart adds against the idea",
"his whole heart ardent against the idea",
"his own heart ardent against the idea",
"his whole heart adds against the idea"
] |
his whole heart hardened against the idea
|
his whole heart ardent against the idea.
|
his whole heart adds against the idea. his whole heart ardent against the idea. his own heart ardent against the idea. his whole heart adds against the idea.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his whole heart ardent against the idea', 'his whole heart adds against the idea', 'his whole heart ardent against the idea', 'his own heart ardent against the idea', 'his whole heart adds against the idea']
|
|
[
"the sense of the synatic path of judaism is located in the town",
"the sense of the synatic path of judah is located in the town",
"the sense of the signantic path of judaism is located in the town",
"the sense of the signatic path of judaism is located in the town",
"the sense of the signatic path of judah is located in the town"
] |
the census designated place of juda is located in the town
|
the sense of the synatic path of judaism is located in the town.
|
the sense of the synatic path of judah is located in the town. the sense of the signantic path of judaism is located in the town. the sense of the signatic path of judaism is located in the town. the sense of the signatic path of judah is 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 sense of the synatic path of judaism is located in the town', 'the sense of the synatic path of judah is located in the town', 'the sense of the signantic path of judaism is located in the town', 'the sense of the signatic path of judaism is located in the town', 'the sense of the signatic path of judah is located in the town']
|
|
[
"the town center is located approximately a half mile away from the american river parkway",
"the town center is located approximately a half mile away from the american river parkway",
"the town center is located approximately a half mile away from the american river parkway",
"the town center is located approximately a half mile away from the american river parkway",
"the town center is located approximately a half mile away from the american river parkway"
] |
the town center is located approximately a half mile away from the american river parkway
|
the town center is located approximately a half mile away from the american river parkway.
|
the town center is located approximately a half mile away from the american river parkway. the town center is located approximately a half mile away from the american river parkway. the town center is located approximately a half mile away from the american river parkway. the town center is located approximately a half mile away from the american river parkway.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the town center is located approximately a half mile away from the american river parkway', 'the town center is located approximately a half mile away from the american river parkway', 'the town center is located approximately a half mile away from the american river parkway', 'the town center is located approximately a half mile away from the american river parkway', 'the town center is located approximately a half mile away from the american river parkway']
|
|
[
"seeing the american ministers name connected with it british people invested heavily",
"seeing the american ministers name connected with it british people invested heavily",
"seeing the american minister is name connected with it british people invested heavily",
"seeing the american ministers name connected with it british people invested heavily",
"seeing the american minister is name connected with it british people invested heavily"
] |
seeing the american minister is name connected with it british people invested heavily
|
seeing the american ministers name connected with it british people invested heavily.
|
seeing the american ministers name connected with it british people invested heavily. seeing the american minister is name connected with it british people invested heavily. seeing the american ministers name connected with it british people invested heavily. seeing the american minister is name connected with it british people invested heavily.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['seeing the american ministers name connected with it british people invested heavily', 'seeing the american ministers name connected with it british people invested heavily', 'seeing the american minister is name connected with it british people invested heavily', 'seeing the american ministers name connected with it british people invested heavily', 'seeing the american minister is name connected with it british people invested heavily']
|
|
[
"nash played his youth football at belvedere",
"nash played his youth football at belvedin",
"nash played his youthful role at belvedere",
"nash played his youthful role at belvedin",
"nash played his youthful mole at belvedere"
] |
nash played his youth football at belvedere
|
nash played his youth football at belvedere.
|
nash played his youth football at belvedin. nash played his youthful role at belvedere. nash played his youthful role at belvedin. nash played his youthful mole at belvedere.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nash played his youth football at belvedere', 'nash played his youth football at belvedin', 'nash played his youthful role at belvedere', 'nash played his youthful role at belvedin', 'nash played his youthful mole at belvedere']
|
|
[
"unfortunately it never aired",
"unfortunately it never aired",
"unfortunately it never aired",
"unfortunately it never aired",
"unfortunately it never aired"
] |
unfortunately it never aired
|
unfortunately it never aired.
|
unfortunately it never aired. unfortunately it never aired. unfortunately it never aired. unfortunately it never aired.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unfortunately it never aired', 'unfortunately it never aired', 'unfortunately it never aired', 'unfortunately it never aired', 'unfortunately it never aired']
|
|
[
"emelman duplicated the feet six days later",
"emelmond duplicated the feet six days later",
"emelman duplicated the feet six days later",
"emelman duplicated the feed six days later",
"emelmond duplicated the feed six days later"
] |
immelmann duplicated the feat six days later
|
emelman duplicated the feet six days later.
|
emelmond duplicated the feet six days later. emelman duplicated the feet six days later. emelman duplicated the feed six days later. emelmond duplicated the feed six days later.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['emelman duplicated the feet six days later', 'emelmond duplicated the feet six days later', 'emelman duplicated the feet six days later', 'emelman duplicated the feed six days later', 'emelmond duplicated the feed six days later']
|
|
[
"urban flooding also has significant economic implications for affected neighborhoods",
"urban flooding also has significant economic implications for affected neighborhoods",
"urban flooding also has significant economic implications for affected neighborhoods",
"urban flooding also has significant economic implications for affected neighborhoods",
"urban flooding also has significant economic implications for affected neighborhoods"
] |
urban flooding also has significant economic implications for affected neighborhoods
|
urban flooding also has significant economic implications for affected neighborhoods.
|
urban flooding also has significant economic implications for affected neighborhoods. urban flooding also has significant economic implications for affected neighborhoods. urban flooding also has significant economic implications for affected neighborhoods. urban flooding also has significant economic implications for affected neighborhoods.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['urban flooding also has significant economic implications for affected neighborhoods', 'urban flooding also has significant economic implications for affected neighborhoods', 'urban flooding also has significant economic implications for affected neighborhoods', 'urban flooding also has significant economic implications for affected neighborhoods', 'urban flooding also has significant economic implications for affected neighborhoods']
|
|
[
"the quarantine is doctor leonard waverman",
"the quarantine is doctor leonard waieverman",
"the quarantine is doctor leonard waveman",
"the quarantine is doctor leonard waeverman",
"the quarantine is doctor leonard waverman"
] |
the current dean is doctor leonard waverman
|
the quarantine is doctor leonard waverman.
|
the quarantine is doctor leonard waieverman. the quarantine is doctor leonard waveman. the quarantine is doctor leonard waeverman. the quarantine is doctor leonard waverman.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the quarantine is doctor leonard waverman', 'the quarantine is doctor leonard waieverman', 'the quarantine is doctor leonard waveman', 'the quarantine is doctor leonard waeverman', 'the quarantine is doctor leonard waverman']
|
|
[
"air products and chemicals is located adjacent to trexletown",
"air products and chemicals is located adjacent to treksle town",
"air products and chemicals is located adjacent to trexlotown",
"air products and chemicals is located adjacent to trekslotown",
"air products and chemicals is located adjacent to trexletown"
] |
air products and chemicals is located adjacent to trexlertown
|
air products and chemicals is located adjacent to trexletown.
|
air products and chemicals is located adjacent to treksle town. air products and chemicals is located adjacent to trexlotown. air products and chemicals is located adjacent to trekslotown. air products and chemicals is located adjacent to trexletown.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['air products and chemicals is located adjacent to trexletown', 'air products and chemicals is located adjacent to treksle town', 'air products and chemicals is located adjacent to trexlotown', 'air products and chemicals is located adjacent to trekslotown', 'air products and chemicals is located adjacent to trexletown']
|
|
[
"traditionally women would often hands you or net their baby is clothes during their pregnancy",
"traditionally women would often hands you or net their baby is clothes during their pregnancy",
"traditionally women would often hand seal or net their baby is clothes during their pregnancy",
"traditionally women would often hand you or net their baby is clothes during their pregnancy",
"traditionally women would often hand sieve or net their baby is clothes during their pregnancy"
] |
traditionally women would often hand sew or knit their baby is clothes during their pregnancy
|
traditionally women would often hands you or net their baby is clothes during their pregnancy.
|
traditionally women would often hands you or net their baby is clothes during their pregnancy. traditionally women would often hand seal or net their baby is clothes during their pregnancy. traditionally women would often hand you or net their baby is clothes during their pregnancy. traditionally women would often hand sieve or net their baby is clothes during their pregnancy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['traditionally women would often hands you or net their baby is clothes during their pregnancy', 'traditionally women would often hands you or net their baby is clothes during their pregnancy', 'traditionally women would often hand seal or net their baby is clothes during their pregnancy', 'traditionally women would often hand you or net their baby is clothes during their pregnancy', 'traditionally women would often hand sieve or net their baby is clothes during their pregnancy']
|
|
[
"he studied journalism at moscow state university",
"his study journalism at moscow state university",
"he studied journalism at mosque state university",
"his study journalism at mosque state university",
"he studied journalism at mosker state university"
] |
she studied journalism at moscow state university
|
he studied journalism at moscow state university.
|
his study journalism at moscow state university. he studied journalism at mosque state university. his study journalism at mosque state university. he studied journalism at mosker state university.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he studied journalism at moscow state university', 'his study journalism at moscow state university', 'he studied journalism at mosque state university', 'his study journalism at mosque state university', 'he studied journalism at mosker state university']
|
|
[
"was rebuilt with a nave and dedicated saint morris",
"was rebuilt with a nave and dedicated saint morris",
"he was rebuilt with a nave and dedicated saint morris",
"was rebuilt with a nave and dedicated saint morris",
"he was rebuilt with a nave and dedicated saint morris"
] |
it was rebuilt with a nave and dedicated to saint maurice
|
was rebuilt with a nave and dedicated saint morris.
|
was rebuilt with a nave and dedicated saint morris. he was rebuilt with a nave and dedicated saint morris. was rebuilt with a nave and dedicated saint morris. he was rebuilt with a nave and dedicated saint morris.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['was rebuilt with a nave and dedicated saint morris', 'was rebuilt with a nave and dedicated saint morris', 'he was rebuilt with a nave and dedicated saint morris', 'was rebuilt with a nave and dedicated saint morris', 'he was rebuilt with a nave and dedicated saint morris']
|
|
[
"where he engaged in controversial debate with lead poppy fissure",
"where he engage in controversial debate with lead poppy fissure",
"where he engaged in controversial debate with lead poppy fisher",
"where he engaged in controversial debate with lead poppy fissure",
"where he engaged in controversial debate with lead poppy fisher"
] |
where he engaged in controversial debate with late bobby fischer
|
where he engaged in controversial debate with lead poppy fissure.
|
where he engage in controversial debate with lead poppy fissure. where he engaged in controversial debate with lead poppy fisher. where he engaged in controversial debate with lead poppy fissure. where he engaged in controversial debate with lead poppy fisher.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['where he engaged in controversial debate with lead poppy fissure', 'where he engage in controversial debate with lead poppy fissure', 'where he engaged in controversial debate with lead poppy fisher', 'where he engaged in controversial debate with lead poppy fissure', 'where he engaged in controversial debate with lead poppy fisher']
|
|
[
"fedrick was unable to find his lucky marbles",
"fettic was unable to find his lucky marbles",
"fettick was unable to find his lucky marbles",
"fedrick was unable to find his lucky marbles",
"fettik was unable to find his lucky marbles"
] |
fedric was unable to find his lucky marble
|
fedrick was unable to find his lucky marbles.
|
fettic was unable to find his lucky marbles. fettick was unable to find his lucky marbles. fedrick was unable to find his lucky marbles. fettik was unable to find his lucky marbles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fedrick was unable to find his lucky marbles', 'fettic was unable to find his lucky marbles', 'fettick was unable to find his lucky marbles', 'fedrick was unable to find his lucky marbles', 'fettik was unable to find his lucky marbles']
|
|
[
"also lemon and lemon maggi paik contain no milk product",
"also lemon and lemon maggi paik contain no milk product",
"also lemon and lemon maggi pai contain no milk product",
"also lemon and lemon maggi paik contain no milk product",
"also lemon and lemon maggi paid contain no milk product"
] |
also lemon and lemon meringue pie contain no milk products
|
also lemon and lemon maggi paik contain no milk product.
|
also lemon and lemon maggi paik contain no milk product. also lemon and lemon maggi pai contain no milk product. also lemon and lemon maggi paik contain no milk product. also lemon and lemon maggi paid contain no milk product.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also lemon and lemon maggi paik contain no milk product', 'also lemon and lemon maggi paik contain no milk product', 'also lemon and lemon maggi pai contain no milk product', 'also lemon and lemon maggi paik contain no milk product', 'also lemon and lemon maggi paid contain no milk product']
|
|
[
"it was named for john gordon a pioneer settler",
"it was named for john gordon a pioneer settler",
"it was named for john gordon a pioneer settler",
"it was named for john gordon a pioneer settler",
"it was named for john gordon a pioner settler"
] |
it was named for john gordon a pioneer settler
|
it was named for john gordon a pioneer settler.
|
it was named for john gordon a pioneer settler. it was named for john gordon a pioneer settler. it was named for john gordon a pioneer settler. it was named for john gordon a pioner settler.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was named for john gordon a pioneer settler', 'it was named for john gordon a pioneer settler', 'it was named for john gordon a pioneer settler', 'it was named for john gordon a pioneer settler', 'it was named for john gordon a pioner settler']
|
|
[
"this is where han river ham preached for over seventy years",
"this is where henry but henry preached for over seventy years",
"this is where han river han preached for over seventy years",
"this is where hanruba ham preached for over seventy years",
"this is where han river han preached four over seventy years"
] |
this is where henry boehm preached for over seventy years
|
this is where han river ham preached for over seventy years.
|
this is where henry but henry preached for over seventy years. this is where han river han preached for over seventy years. this is where hanruba ham preached for over seventy years. this is where han river han preached four over seventy years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is where han river ham preached for over seventy years', 'this is where henry but henry preached for over seventy years', 'this is where han river han preached for over seventy years', 'this is where hanruba ham preached for over seventy years', 'this is where han river han preached four over seventy years']
|
|
[
"many notable historians have dismissed a notion as fancy for his best",
"many notable historians have dismissed a notion as fanciful as best",
"many notable historians have dismissed a notion as fancy for as best",
"many notable historians have dismissed the notion as fancy for his best",
"many notable historians have dismissed a notion as fancy for as best"
] |
many notable historians have dismissed the notion as fanciful at best
|
many notable historians have dismissed a notion as fancy for his best.
|
many notable historians have dismissed a notion as fanciful as best. many notable historians have dismissed a notion as fancy for as best. many notable historians have dismissed the notion as fancy for his best. many notable historians have dismissed a notion as fancy for as best.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many notable historians have dismissed a notion as fancy for his best', 'many notable historians have dismissed a notion as fanciful as best', 'many notable historians have dismissed a notion as fancy for as best', 'many notable historians have dismissed the notion as fancy for his best', 'many notable historians have dismissed a notion as fancy for as best']
|
|
[
"he was met there by king carol i crown prince ferdinand and prince carol",
"he was met there by king carol i crown prince ferdinand and prince carol",
"he was met there by king carole i crown prince ferdinand and prince carole",
"he was met there by king carole i crown prince ferdinand and prince carole",
"he was met there by king carole i crown prince ferdinand and prince carole"
] |
he was met there by king carol i crown prince ferdinand and prince carol
|
he was met there by king carol i crown prince ferdinand and prince carol.
|
he was met there by king carol i crown prince ferdinand and prince carol. he was met there by king carole i crown prince ferdinand and prince carole. he was met there by king carole i crown prince ferdinand and prince carole. he was met there by king carole i crown prince ferdinand and prince carole.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was met there by king carol i crown prince ferdinand and prince carol', 'he was met there by king carol i crown prince ferdinand and prince carol', 'he was met there by king carole i crown prince ferdinand and prince carole', 'he was met there by king carole i crown prince ferdinand and prince carole', 'he was met there by king carole i crown prince ferdinand and prince carole']
|
|
[
"despite the renaming atrocks statuettes was retained as the design of the genie statuettes",
"despite the renaming atrocks statuettes was retained as the design of the genie statuettes",
"despite the renaming atrocks statuettes was retained as the design of the geny statuettes",
"despite the renaming atrocks statuettes was retained as the design of the jenny statuettes",
"despite the renaming atrocks statuette was retained as the design of the genie statuettes"
] |
despite the renaming etrog is statuette was retained as the design of the genie statuettes
|
despite the renaming atrocks statuettes was retained as the design of the genie statuettes.
|
despite the renaming atrocks statuettes was retained as the design of the genie statuettes. despite the renaming atrocks statuettes was retained as the design of the geny statuettes. despite the renaming atrocks statuettes was retained as the design of the jenny statuettes. despite the renaming atrocks statuette was retained as the design of the genie statuettes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['despite the renaming atrocks statuettes was retained as the design of the genie statuettes', 'despite the renaming atrocks statuettes was retained as the design of the genie statuettes', 'despite the renaming atrocks statuettes was retained as the design of the geny statuettes', 'despite the renaming atrocks statuettes was retained as the design of the jenny statuettes', 'despite the renaming atrocks statuette was retained as the design of the genie statuettes']
|
|
[
"this style is the last word of fashion",
"this style is the last word fashion",
"this style is the last word of fashion",
"this style is the last word fashion",
"this style is the last word of fashion"
] |
this style is the last word of fashion
|
this style is the last word of fashion.
|
this style is the last word fashion. this style is the last word of fashion. this style is the last word fashion. this style is the last word of fashion.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this style is the last word of fashion', 'this style is the last word fashion', 'this style is the last word of fashion', 'this style is the last word fashion', 'this style is the last word of fashion']
|
|
[
"the concept was disregarded as being unnecessary and financially impractical",
"the concept was disregarded as being unnecessary and financially impractical",
"the concept was disregarded as being unnecessary and financially impractical",
"the concept was disregarded as being unnecessary and financially impractical",
"the concept was disregarded as being unnecessary and financially impractical"
] |
the concept was disregarded as being unnecessary and financially impractical
|
the concept was disregarded as being unnecessary and financially impractical.
|
the concept was disregarded as being unnecessary and financially impractical. the concept was disregarded as being unnecessary and financially impractical. the concept was disregarded as being unnecessary and financially impractical. the concept was disregarded as being unnecessary and financially impractical.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the concept was disregarded as being unnecessary and financially impractical', 'the concept was disregarded as being unnecessary and financially impractical', 'the concept was disregarded as being unnecessary and financially impractical', 'the concept was disregarded as being unnecessary and financially impractical', 'the concept was disregarded as being unnecessary and financially impractical']
|
|
[
"it is also a center of the lutheran slovak community in romania",
"it is also the center of the lutheran slovak community in romania",
"it is also a center of the lutheran slovak community in romania",
"it is also center of the lutheran slovak community in romania",
"it is also a center of the lutheran slovak community in romania"
] |
it is also a center of the lutheran slovak community in romania
|
it is also a center of the lutheran slovak community in romania.
|
it is also the center of the lutheran slovak community in romania. it is also a center of the lutheran slovak community in romania. it is also center of the lutheran slovak community in romania. it is also a center of the lutheran slovak community in romania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is also a center of the lutheran slovak community in romania', 'it is also the center of the lutheran slovak community in romania', 'it is also a center of the lutheran slovak community in romania', 'it is also center of the lutheran slovak community in romania', 'it is also a center of the lutheran slovak community in romania']
|
|
[
"lucas electronic fuel injection was fitted along with an intercooled atom supercharger",
"lucas electronic fuel injection was fitted along with an intercoord atom supercharger",
"lucas electronic fuel injection was fitted along with the intercooled eton supercharger",
"lucas electronic fuel injection was fitted along with the intercooled atom supercharger",
"lucas electronic fuel injection was fitted along with an inter cord atom supercharger"
] |
lucas electronic fuel injection was fitted along with an intercooled eaton supercharger
|
lucas electronic fuel injection was fitted along with an intercooled atom supercharger.
|
lucas electronic fuel injection was fitted along with an intercoord atom supercharger. lucas electronic fuel injection was fitted along with the intercooled eton supercharger. lucas electronic fuel injection was fitted along with the intercooled atom supercharger. lucas electronic fuel injection was fitted along with an inter cord atom supercharger.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lucas electronic fuel injection was fitted along with an intercooled atom supercharger', 'lucas electronic fuel injection was fitted along with an intercoord atom supercharger', 'lucas electronic fuel injection was fitted along with the intercooled eton supercharger', 'lucas electronic fuel injection was fitted along with the intercooled atom supercharger', 'lucas electronic fuel injection was fitted along with an inter cord atom supercharger']
|
|
[
"its main industry is forestry",
"it is main industry is forestry",
"its main industry is forestry",
"its main industry is forestry",
"its main industry is forestry"
] |
its main industry is forestry
|
its main industry is forestry.
|
it is main industry is forestry. its main industry is forestry. its main industry is forestry. its main industry is forestry.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its main industry is forestry', 'it is main industry is forestry', 'its main industry is forestry', 'its main industry is forestry', 'its main industry is forestry']
|
|
[
"brown is great achievement boosts the development of armor plating for war vessels",
"brown is great achievement boosts the development of armor plating for war vessels",
"grant is great achievement boosts the development of armor plating for war vessels",
"grant is great achievement boosts the development of armor plating for war vessels",
"grant is great achievement boost the development of armor plating for war vessels"
] |
brown is great achievement was the development of armor plating for war vessels
|
brown is great achievement boosts the development of armor plating for war vessels.
|
brown is great achievement boosts the development of armor plating for war vessels. grant is great achievement boosts the development of armor plating for war vessels. grant is great achievement boosts the development of armor plating for war vessels. grant is great achievement boost the development of armor plating for war vessels.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['brown is great achievement boosts the development of armor plating for war vessels', 'brown is great achievement boosts the development of armor plating for war vessels', 'grant is great achievement boosts the development of armor plating for war vessels', 'grant is great achievement boosts the development of armor plating for war vessels', 'grant is great achievement boost the development of armor plating for war vessels']
|
|
[
"both schools are in the manhattan section of stafford township",
"both schools are in the manhattan section of stafford township",
"both schools are in the manhattan section of stafford township",
"both schools are in the manhattan section of stafford township",
"both schools are in the manhattan section of stafford township"
] |
both schools are in the manahawkin section of stafford township
|
both schools are in the manhattan section of stafford township.
|
both schools are in the manhattan section of stafford township. both schools are in the manhattan section of stafford township. both schools are in the manhattan section of stafford township. both schools are in the manhattan section of stafford township.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both schools are in the manhattan section of stafford township', 'both schools are in the manhattan section of stafford township', 'both schools are in the manhattan section of stafford township', 'both schools are in the manhattan section of stafford township', 'both schools are in the manhattan section of stafford township']
|
|
[
"then some county transit is the public transit operator",
"then some quantity of transit is the public transit operator",
"johnson county transit is the public transit operator",
"then some county transit is the public transit operator",
"then some county transcript is the public transcript operator"
] |
johnson county transit is the public transit operator
|
then some county transit is the public transit operator.
|
then some quantity of transit is the public transit operator. johnson county transit is the public transit operator. then some county transit is the public transit operator. then some county transcript is the public transcript operator.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then some county transit is the public transit operator', 'then some quantity of transit is the public transit operator', 'johnson county transit is the public transit operator', 'then some county transit is the public transit operator', 'then some county transcript is the public transcript operator']
|
|
[
"there are still other spellings",
"there are still other spellings",
"there are still other spellings",
"there are still other spellings",
"there are still other spellings"
] |
there are still other spellings
|
there are still other spellings.
|
there are still other spellings. there are still other spellings. there are still other spellings. there are still other spellings.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are still other spellings', 'there are still other spellings', 'there are still other spellings', 'there are still other spellings', 'there are still other spellings']
|
|
[
"he found that more ethnically heterogeneous nations had more ethnic conflicts",
"he found that more ethnically heroic juniors nations had more ethnic conflicts",
"he found that more ethnically heterogeneous nations had more ethnic conflicts",
"he found that more ethnically heroic juniors nations had more ethnic conflicts",
"he found that more ethnically heroic juniors nations had more ethnic conflicts"
] |
he found that more ethnically heterogeneous nations had more ethnic conflicts
|
he found that more ethnically heterogeneous nations had more ethnic conflicts.
|
he found that more ethnically heroic juniors nations had more ethnic conflicts. he found that more ethnically heterogeneous nations had more ethnic conflicts. he found that more ethnically heroic juniors nations had more ethnic conflicts. he found that more ethnically heroic juniors nations had more ethnic conflicts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he found that more ethnically heterogeneous nations had more ethnic conflicts', 'he found that more ethnically heroic juniors nations had more ethnic conflicts', 'he found that more ethnically heterogeneous nations had more ethnic conflicts', 'he found that more ethnically heroic juniors nations had more ethnic conflicts', 'he found that more ethnically heroic juniors nations had more ethnic conflicts']
|
|
[
"similarly the rest of the album deals with loss of struggle and renewal",
"similarly the rest of the album deals with loss struggle and renewal",
"similarly the rest of the album deals with lots of struggle and renewal",
"similarly the rest of the album deals with loss struggle and renewal",
"similarly the rest of the album deals with lost struggle and renewal"
] |
similarly the rest of the album deals with loss struggle and renewal
|
similarly the rest of the album deals with loss of struggle and renewal.
|
similarly the rest of the album deals with loss struggle and renewal. similarly the rest of the album deals with lots of struggle and renewal. similarly the rest of the album deals with loss struggle and renewal. similarly the rest of the album deals with lost struggle and renewal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['similarly the rest of the album deals with loss of struggle and renewal', 'similarly the rest of the album deals with loss struggle and renewal', 'similarly the rest of the album deals with lots of struggle and renewal', 'similarly the rest of the album deals with loss struggle and renewal', 'similarly the rest of the album deals with lost struggle and renewal']
|
|
[
"he was also known as the blues vellar",
"he was also known as the blues vellor",
"he was also known as the blues valor",
"he was also known as the bluesweiler",
"he was also known as the blues vailer"
] |
he was also known as the blues wailer
|
he was also known as the blues vellar.
|
he was also known as the blues vellor. he was also known as the blues valor. he was also known as the bluesweiler. he was also known as the blues vailer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was also known as the blues vellar', 'he was also known as the blues vellor', 'he was also known as the blues valor', 'he was also known as the bluesweiler', 'he was also known as the blues vailer']
|
|
[
"a man walking in front of a cleaning man",
"a man walking in front of a cleaning man",
"a man walking in front of a cleaning van",
"a man walking in front of a cleaning van",
"a man walking in front of a cleaning man"
] |
a man walking in front of a cleaning van
|
a man walking in front of a cleaning man.
|
a man walking in front of a cleaning man. a man walking in front of a cleaning van. a man walking in front of a cleaning van. a man walking in front of a cleaning man.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man walking in front of a cleaning man', 'a man walking in front of a cleaning man', 'a man walking in front of a cleaning van', 'a man walking in front of a cleaning van', 'a man walking in front of a cleaning man']
|
|
[
"job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary",
"job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary",
"job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary",
"job descriptive surnames originally denoted the actual occupation of the name bearer and later became herititary",
"job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary"
] |
job descriptive surnames originally denoted the actual occupation of the namebearer and later became hereditary
|
job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary.
|
job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary. job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary. job descriptive surnames originally denoted the actual occupation of the name bearer and later became herititary. job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary', 'job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary', 'job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary', 'job descriptive surnames originally denoted the actual occupation of the name bearer and later became herititary', 'job descriptive surnames originally denoted the actual occupation of the name bearer and later became hereditary']
|
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