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
|
|---|---|---|---|---|---|---|---|---|
[
"in many other countries similar laws either already exist or similar",
"in many other countries similar laws either already exist or similar",
"in many other countries similar laws either already exist or similar",
"in many other countries similar laws either already exist or similar",
"in many other countries similar laws either already exists or similar"
] |
in many other countries similar laws either already exist or soon will
|
in many other countries similar laws either already exist or similar.
|
in many other countries similar laws either already exist or similar. in many other countries similar laws either already exist or similar. in many other countries similar laws either already exist or similar. in many other countries similar laws either already exists or similar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in many other countries similar laws either already exist or similar', 'in many other countries similar laws either already exist or similar', 'in many other countries similar laws either already exist or similar', 'in many other countries similar laws either already exist or similar', 'in many other countries similar laws either already exists or similar']
|
|
[
"peacemaking in smaller traditional societies has often involved rituals",
"peacemaking in smaller traditional societies has often involved rituals",
"peace making in smaller traditional societies has often involved rituals",
"peacemaking in small and traditional societies has often involved rituals",
"peace making in smaller traditional societies has often involved rituals"
] |
peacemaking in smaller traditional societies has often involved rituals
|
peacemaking in smaller traditional societies has often involved rituals.
|
peacemaking in smaller traditional societies has often involved rituals. peace making in smaller traditional societies has often involved rituals. peacemaking in small and traditional societies has often involved rituals. peace making in smaller traditional societies has often involved rituals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['peacemaking in smaller traditional societies has often involved rituals', 'peacemaking in smaller traditional societies has often involved rituals', 'peace making in smaller traditional societies has often involved rituals', 'peacemaking in small and traditional societies has often involved rituals', 'peace making in smaller traditional societies has often involved rituals']
|
|
[
"federal investigators could find no evidence that ward was working on such a book",
"federal investigators could find no evidence that ward was working on such a book",
"federal investigators could find no evidence that word was working on such a book",
"federal investigators could find no evidence that ward was working on such a book",
"federal investigators could find no evidence that the ward was working on such a book"
] |
federal investigators could find no evidence that ward was working on such a book
|
federal investigators could find no evidence that ward was working on such a book.
|
federal investigators could find no evidence that ward was working on such a book. federal investigators could find no evidence that word was working on such a book. federal investigators could find no evidence that ward was working on such a book. federal investigators could find no evidence that the ward was working on such a book.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['federal investigators could find no evidence that ward was working on such a book', 'federal investigators could find no evidence that ward was working on such a book', 'federal investigators could find no evidence that word was working on such a book', 'federal investigators could find no evidence that ward was working on such a book', 'federal investigators could find no evidence that the ward was working on such a book']
|
|
[
"the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom",
"the disaster in nokopolis angered several hungarian lords leading to instability in the kingdom",
"the disaster in nicopolis angered several hungarian lords leading to instability in the kingdom",
"the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom",
"the disaster in nekopolis angered several hungarian lords leading to instability in the kingdom"
] |
the disaster in nicopolis angered several hungarian lords leading to instability in the kingdom
|
the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom.
|
the disaster in nokopolis angered several hungarian lords leading to instability in the kingdom. the disaster in nicopolis angered several hungarian lords leading to instability in the kingdom. the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom. the disaster in nekopolis angered several hungarian lords leading to instability in the kingdom.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom', 'the disaster in nokopolis angered several hungarian lords leading to instability in the kingdom', 'the disaster in nicopolis angered several hungarian lords leading to instability in the kingdom', 'the disaster in nacopolis angered several hungarian lords leading to instability in the kingdom', 'the disaster in nekopolis angered several hungarian lords leading to instability in the kingdom']
|
|
[
"christmas in ireland has several local traditions some in norway connected with christianity",
"christmas in ireland has several local traditions some in no way connected with christianity",
"christmas in ireland has several local traditions some in norway connected with christianity",
"christmas in ireland has several local traditions some in norway connected with christianity",
"christmas in ireland has several local traditions some in norway connected with christianity"
] |
christmas in ireland has several local traditions some in no way connected with christianity
|
christmas in ireland has several local traditions some in norway connected with christianity.
|
christmas in ireland has several local traditions some in no way connected with christianity. christmas in ireland has several local traditions some in norway connected with christianity. christmas in ireland has several local traditions some in norway connected with christianity. christmas in ireland has several local traditions some in norway connected with christianity.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['christmas in ireland has several local traditions some in norway connected with christianity', 'christmas in ireland has several local traditions some in no way connected with christianity', 'christmas in ireland has several local traditions some in norway connected with christianity', 'christmas in ireland has several local traditions some in norway connected with christianity', 'christmas in ireland has several local traditions some in norway connected with christianity']
|
|
[
"the flag of ontario is the defaced red inside",
"the flag of ontario is the defaced red enzyme",
"the flag of ontario is the best red inside",
"the flag of ontario is the face red inside",
"the flag of ontario is the defaced red inside"
] |
the flag of ontario is a defaced red ensign
|
the flag of ontario is the defaced red inside.
|
the flag of ontario is the defaced red enzyme. the flag of ontario is the best red inside. the flag of ontario is the face red inside. the flag of ontario is the defaced red inside.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the flag of ontario is the defaced red inside', 'the flag of ontario is the defaced red enzyme', 'the flag of ontario is the best red inside', 'the flag of ontario is the face red inside', 'the flag of ontario is the defaced red inside']
|
|
[
"because of this many people in his church survived the plague",
"because of this many people in his church survived the plague",
"because of this many people in his church survived plague",
"because of this many people in his church survived the plague",
"because of this many people in his church survived the plague"
] |
because of this many people in his church survived the plague
|
because of this many people in his church survived the plague.
|
because of this many people in his church survived the plague. because of this many people in his church survived plague. because of this many people in his church survived the plague. because of this many people in his church survived the plague.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['because of this many people in his church survived the plague', 'because of this many people in his church survived the plague', 'because of this many people in his church survived plague', 'because of this many people in his church survived the plague', 'because of this many people in his church survived the plague']
|
|
[
"he was not allowed to travel too nice to accept his medal",
"he was not allowed to travel too nice to accept his medal",
"he was not allowed to travel too much to accept his medal",
"he was not allowed to travel too much to accept his medal",
"he was not allowed to travel too much to accept his medal"
] |
he was not allowed to travel to nice to accept his medal
|
he was not allowed to travel too nice to accept his medal.
|
he was not allowed to travel too nice to accept his medal. he was not allowed to travel too much to accept his medal. he was not allowed to travel too much to accept his medal. he was not allowed to travel too much to accept his medal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was not allowed to travel too nice to accept his medal', 'he was not allowed to travel too nice to accept his medal', 'he was not allowed to travel too much to accept his medal', 'he was not allowed to travel too much to accept his medal', 'he was not allowed to travel too much to accept his medal']
|
|
[
"due to their durability plastic bags can take centuries to decompose",
"due to that durability plastic bags can take centuries to decompose",
"due to their durability plastic bags can take centuries to decompose",
"due to their durability plastic bags can take centuries to decompose",
"due to their durability plastic bags can take centuries to decompose"
] |
due to their durability plastic bags can take centuries to decompose
|
due to their durability plastic bags can take centuries to decompose.
|
due to that durability plastic bags can take centuries to decompose. due to their durability plastic bags can take centuries to decompose. due to their durability plastic bags can take centuries to decompose. due to their durability plastic bags can take centuries to decompose.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['due to their durability plastic bags can take centuries to decompose', 'due to that durability plastic bags can take centuries to decompose', 'due to their durability plastic bags can take centuries to decompose', 'due to their durability plastic bags can take centuries to decompose', 'due to their durability plastic bags can take centuries to decompose']
|
|
[
"measures we are taking to prevent devours from mutating and spreading",
"measures we are taking to prevent the virus from mutating and spreading",
"measures we are taking to prevent devours from mutating and spreading",
"measures were taken to prevent devours from mutating and spreading",
"measures we are taking to prevent devires from mutating and spreading"
] |
measures were taken to prevent the virus from mutating and spreading
|
measures we are taking to prevent devours from mutating and spreading.
|
measures we are taking to prevent the virus from mutating and spreading. measures we are taking to prevent devours from mutating and spreading. measures were taken to prevent devours from mutating and spreading. measures we are taking to prevent devires from mutating and spreading.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['measures we are taking to prevent devours from mutating and spreading', 'measures we are taking to prevent the virus from mutating and spreading', 'measures we are taking to prevent devours from mutating and spreading', 'measures were taken to prevent devours from mutating and spreading', 'measures we are taking to prevent devires from mutating and spreading']
|
|
[
"buchanan dam in the liket forms luke buchanan are named in his owner",
"buchanan dam in the liket forms luke buchanan are named in his honor",
"buchanan dam in the leket forms luke buchanan are named in his owner",
"buchanan dam in the lichet forms luke buchanan are named in his owner",
"buchanan dam in the leket forms luke buchanan are named in his honor"
] |
buchanan dam and the lake it forms lake buchanan are named in his honor
|
buchanan dam in the liket forms luke buchanan are named in his owner.
|
buchanan dam in the liket forms luke buchanan are named in his honor. buchanan dam in the leket forms luke buchanan are named in his owner. buchanan dam in the lichet forms luke buchanan are named in his owner. buchanan dam in the leket forms luke buchanan are named in his honor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['buchanan dam in the liket forms luke buchanan are named in his owner', 'buchanan dam in the liket forms luke buchanan are named in his honor', 'buchanan dam in the leket forms luke buchanan are named in his owner', 'buchanan dam in the lichet forms luke buchanan are named in his owner', 'buchanan dam in the leket forms luke buchanan are named in his honor']
|
|
[
"the song pageant of english has had some influenza subsequent work",
"the song pageant of english has had some implications of second work",
"the song pattern of english has had some influenza subsequent work",
"the song pattern of english has had some influenza subsequent work",
"the song pageant of english has had some influence on subsequent work"
] |
the sound pattern of english has had some influence on subsequent work
|
the song pageant of english has had some influenza subsequent work.
|
the song pageant of english has had some implications of second work. the song pattern of english has had some influenza subsequent work. the song pattern of english has had some influenza subsequent work. the song pageant of english has had some influence on subsequent work.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the song pageant of english has had some influenza subsequent work', 'the song pageant of english has had some implications of second work', 'the song pattern of english has had some influenza subsequent work', 'the song pattern of english has had some influenza subsequent work', 'the song pageant of english has had some influence on subsequent work']
|
|
[
"this will persist until the next reboot",
"this will persist until the next reboot",
"this will persist until the next reboot",
"this will persist until the next reboot",
"this will persist until the next reboot"
] |
this will persist until the next reboot
|
this will persist until the next reboot.
|
this will persist until the next reboot. this will persist until the next reboot. this will persist until the next reboot. this will persist until the next reboot.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this will persist until the next reboot', 'this will persist until the next reboot', 'this will persist until the next reboot', 'this will persist until the next reboot', 'this will persist until the next reboot']
|
|
[
"hulsing as duties include teaching advanced instrumental conducting and composition",
"holsing is duties include teaching advanced instrumental conducting and composition",
"hulsing as duties include teaching advanced instrumental conducting and composition",
"holsingers duties include teaching advanced instrumental conducting and composition",
"hulsing is duties include teaching advanced instrumental conducting and composition"
] |
holsinger is duties include teaching advanced instrumental conducting and composition
|
hulsing as duties include teaching advanced instrumental conducting and composition.
|
holsing is duties include teaching advanced instrumental conducting and composition. hulsing as duties include teaching advanced instrumental conducting and composition. holsingers duties include teaching advanced instrumental conducting and composition. hulsing is duties include teaching advanced instrumental conducting and composition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hulsing as duties include teaching advanced instrumental conducting and composition', 'holsing is duties include teaching advanced instrumental conducting and composition', 'hulsing as duties include teaching advanced instrumental conducting and composition', 'holsingers duties include teaching advanced instrumental conducting and composition', 'hulsing is duties include teaching advanced instrumental conducting and composition']
|
|
[
"volleyball corps basketball corps and ball baymonton are also available",
"volleyball corps basketball corps and boa baymonton are also available",
"volleyball corps basketball corps and boa baymonton are also available",
"volleyball corps basque ball corps and bourbon mintona also available",
"volleyball corps basketball corps and ball baymonton also available"
] |
volleyball court basketball court and ball badminton are also available
|
volleyball corps basketball corps and ball baymonton are also available.
|
volleyball corps basketball corps and boa baymonton are also available. volleyball corps basketball corps and boa baymonton are also available. volleyball corps basque ball corps and bourbon mintona also available. volleyball corps basketball corps and ball baymonton also available.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['volleyball corps basketball corps and ball baymonton are also available', 'volleyball corps basketball corps and boa baymonton are also available', 'volleyball corps basketball corps and boa baymonton are also available', 'volleyball corps basque ball corps and bourbon mintona also available', 'volleyball corps basketball corps and ball baymonton also available']
|
|
[
"these family run businesses get community support through the bellport chamber of commerce",
"these family run businesses get community support through the bellport chamber of commerce",
"these family run businesses get community support through the billboard chamber of commerce",
"these family run businesses get community support through the billport chamber of commerce",
"these family run businesses get community support through the billboard chamber of commerce"
] |
these family run businesses get community support through the bellport chamber of commerce
|
these family run businesses get community support through the bellport chamber of commerce.
|
these family run businesses get community support through the bellport chamber of commerce. these family run businesses get community support through the billboard chamber of commerce. these family run businesses get community support through the billport chamber of commerce. these family run businesses get community support through the billboard chamber of commerce.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these family run businesses get community support through the bellport chamber of commerce', 'these family run businesses get community support through the bellport chamber of commerce', 'these family run businesses get community support through the billboard chamber of commerce', 'these family run businesses get community support through the billport chamber of commerce', 'these family run businesses get community support through the billboard chamber of commerce']
|
|
[
"her brother is the international tenor vernon mincheli",
"her brother is the international tenor vernon mincheli",
"her brother is the international tenor vernon mentally",
"her brother is the international tenor vernon minchley",
"her brother is the international tenor vernon mincheli"
] |
her brother is the international tenor vernon midgley
|
her brother is the international tenor vernon mincheli.
|
her brother is the international tenor vernon mincheli. her brother is the international tenor vernon mentally. her brother is the international tenor vernon minchley. her brother is the international tenor vernon mincheli.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['her brother is the international tenor vernon mincheli', 'her brother is the international tenor vernon mincheli', 'her brother is the international tenor vernon mentally', 'her brother is the international tenor vernon minchley', 'her brother is the international tenor vernon mincheli']
|
|
[
"he also wrote rarest articles on literature",
"he also wrote radio articles on literature",
"he also wrote radius articles on literature",
"he also wrote raiders articles on literature",
"he also wrote raiding articles on literature"
] |
he also wrote various articles on literature
|
he also wrote rarest articles on literature.
|
he also wrote radio articles on literature. he also wrote radius articles on literature. he also wrote raiders articles on literature. he also wrote raiding articles on literature.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also wrote rarest articles on literature', 'he also wrote radio articles on literature', 'he also wrote radius articles on literature', 'he also wrote raiders articles on literature', 'he also wrote raiding articles on literature']
|
|
[
"she suffered from painful fibroids for which she took prescription medication",
"she suffered from painful fibroids for which she took prescription medication",
"she suffered from painful fibroids far with sheet of prescription medication",
"she suffered from painful fibroids far which she took prescription medication",
"she suffered from painful fibroides for which she took prescription medication"
] |
she suffered from painful fibroids for which she took prescription medication
|
she suffered from painful fibroids for which she took prescription medication.
|
she suffered from painful fibroids for which she took prescription medication. she suffered from painful fibroids far with sheet of prescription medication. she suffered from painful fibroids far which she took prescription medication. she suffered from painful fibroides for which she took prescription medication.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she suffered from painful fibroids for which she took prescription medication', 'she suffered from painful fibroids for which she took prescription medication', 'she suffered from painful fibroids far with sheet of prescription medication', 'she suffered from painful fibroids far which she took prescription medication', 'she suffered from painful fibroides for which she took prescription medication']
|
|
[
"the other line is name is taoism",
"the other lion is name is taoism",
"the other lion is name is dowis",
"the other line is name is dowis",
"the other lion is name is dawes"
] |
the other lion is name is daoiz
|
the other line is name is taoism.
|
the other lion is name is taoism. the other lion is name is dowis. the other line is name is dowis. the other lion is name is dawes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the other line is name is taoism', 'the other lion is name is taoism', 'the other lion is name is dowis', 'the other line is name is dowis', 'the other lion is name is dawes']
|
|
[
"he never has",
"he never has",
"he never has",
"he never has",
"he never has"
] |
he never has
|
he never has.
|
he never has. he never has. he never has. he never has.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he never has', 'he never has', 'he never has', 'he never has', 'he never has']
|
|
[
"henderson is characterized by his drum and gravelly voice",
"henderson is characterized by his drum and gravelly voice",
"henderson is characterized by his drum and gravely voice",
"henderson is characterized by his drum and gravely voice",
"henderson is characterized by his drum and gravelly voice"
] |
henderson is characterized by his drum and gravelly voice
|
henderson is characterized by his drum and gravelly voice.
|
henderson is characterized by his drum and gravelly voice. henderson is characterized by his drum and gravely voice. henderson is characterized by his drum and gravely voice. henderson is characterized by his drum and gravelly voice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['henderson is characterized by his drum and gravelly voice', 'henderson is characterized by his drum and gravelly voice', 'henderson is characterized by his drum and gravely voice', 'henderson is characterized by his drum and gravely voice', 'henderson is characterized by his drum and gravelly voice']
|
|
[
"the water sometimes have reddish tinge resulting from reflections from the cliffs above",
"the waters sometimes have reddish tinge resulting from reflections from the cliffs above",
"the water sometimes have reddish tinge resulting from reflections from the clips above",
"the water sometimes have a reddish tinge resulting from reflections from the cliffs above",
"the water sometimes have a reddish tinge resulting from reflections from the clips above"
] |
the water sometimes has a reddish tinge resulting from reflections from the cliffs above
|
the water sometimes have reddish tinge resulting from reflections from the cliffs above.
|
the waters sometimes have reddish tinge resulting from reflections from the cliffs above. the water sometimes have reddish tinge resulting from reflections from the clips above. the water sometimes have a reddish tinge resulting from reflections from the cliffs above. the water sometimes have a reddish tinge resulting from reflections from the clips above.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the water sometimes have reddish tinge resulting from reflections from the cliffs above', 'the waters sometimes have reddish tinge resulting from reflections from the cliffs above', 'the water sometimes have reddish tinge resulting from reflections from the clips above', 'the water sometimes have a reddish tinge resulting from reflections from the cliffs above', 'the water sometimes have a reddish tinge resulting from reflections from the clips above']
|
|
[
"you did not look bad poor little fellow",
"you did not look bad poor little fellow",
"you did not look bad poor little fellow",
"you did not look bad poor little fella",
"you did not look bad poor little fellow"
] |
he did look bad poor little fellow
|
you did not look bad poor little fellow.
|
you did not look bad poor little fellow. you did not look bad poor little fellow. you did not look bad poor little fella. you did not look bad poor little fellow.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you did not look bad poor little fellow', 'you did not look bad poor little fellow', 'you did not look bad poor little fellow', 'you did not look bad poor little fella', 'you did not look bad poor little fellow']
|
|
[
"the label was soon molded into home alternating or progressive artisans",
"the label was soon molded into home alternating or progressive artisans",
"the label was soon molded into home coordinating or progressive artisans",
"the label was soon molded into home for alternating or progressive artisans",
"the label was so molded into home alternating or progressive artisans"
] |
the label was soon molded into a home for alternative or progressive artists
|
the label was soon molded into home alternating or progressive artisans.
|
the label was soon molded into home alternating or progressive artisans. the label was soon molded into home coordinating or progressive artisans. the label was soon molded into home for alternating or progressive artisans. the label was so molded into home alternating or progressive artisans.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the label was soon molded into home alternating or progressive artisans', 'the label was soon molded into home alternating or progressive artisans', 'the label was soon molded into home coordinating or progressive artisans', 'the label was soon molded into home for alternating or progressive artisans', 'the label was so molded into home alternating or progressive artisans']
|
|
[
"ponte verde is localized in the soft zone",
"ponto verde is localized in the soft zone",
"punta verde is localized in the soft zone",
"ponta verde is localized in the soft zone",
"panta verde is localized in the soft zone"
] |
ponta verde is localized in the south zone
|
ponte verde is localized in the soft zone.
|
ponto verde is localized in the soft zone. punta verde is localized in the soft zone. ponta verde is localized in the soft zone. panta verde is localized in the soft zone.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ponte verde is localized in the soft zone', 'ponto verde is localized in the soft zone', 'punta verde is localized in the soft zone', 'ponta verde is localized in the soft zone', 'panta verde is localized in the soft zone']
|
|
[
"and of course originally just a lamp of wood",
"and of course originally just a lamp of wood",
"and choccos originally just a lamp of wood",
"and of course originally just a lump of wood",
"and of course originally just a lump of wood"
] |
a chock was originally just a lump of wood
|
and of course originally just a lamp of wood.
|
and of course originally just a lamp of wood. and choccos originally just a lamp of wood. and of course originally just a lump of wood. and of course originally just a lump of wood.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and of course originally just a lamp of wood', 'and of course originally just a lamp of wood', 'and choccos originally just a lamp of wood', 'and of course originally just a lump of wood', 'and of course originally just a lump of wood']
|
|
[
"i kept thinking maybe she was going to a different place than ours",
"i kept thinking maybe she was going to a different place than ours",
"i kept thinking maybe she was going to a different place than ours",
"i kept thinking maybe she was going to a different place than ours",
"i kept thinking maybe she was going to a different place than ours"
] |
i kept thinking maybe she was going to a different place than ours
|
i kept thinking maybe she was going to a different place than ours.
|
i kept thinking maybe she was going to a different place than ours. i kept thinking maybe she was going to a different place than ours. i kept thinking maybe she was going to a different place than ours. i kept thinking maybe she was going to a different place than ours.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i kept thinking maybe she was going to a different place than ours', 'i kept thinking maybe she was going to a different place than ours', 'i kept thinking maybe she was going to a different place than ours', 'i kept thinking maybe she was going to a different place than ours', 'i kept thinking maybe she was going to a different place than ours']
|
|
[
"some sikh groups had previously argued that the policy was exclusionary",
"some seek groups had previously argued that the policy was exclusionary",
"some seek groups had previously argued that the policy was exclusionary",
"some seek groups had previously argued that the policy was exclusionary",
"some sikh groups had previously argued that the policy was exclusionary"
] |
some sikh groups had previously argued that the policy was exclusionary
|
some sikh groups had previously argued that the policy was exclusionary.
|
some seek groups had previously argued that the policy was exclusionary. some seek groups had previously argued that the policy was exclusionary. some seek groups had previously argued that the policy was exclusionary. some sikh groups had previously argued that the policy was exclusionary.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some sikh groups had previously argued that the policy was exclusionary', 'some seek groups had previously argued that the policy was exclusionary', 'some seek groups had previously argued that the policy was exclusionary', 'some seek groups had previously argued that the policy was exclusionary', 'some sikh groups had previously argued that the policy was exclusionary']
|
|
[
"positive chronotropes increase heart rate negative chronotropes decrease heart rate",
"positive chrono troops increase heart rate negative chrono troops decrease heart rate",
"positive chrono tropes increase heart rate negative chrono tropes decrease heart rate",
"positive chronotropes increase heart rate negative chronotropes decrease heart rate",
"positive cronotropes increase heart rate negative cronotropes decrease heart rate"
] |
positive chronotropes increase heart rate negative chronotropes decrease heart rate
|
positive chronotropes increase heart rate negative chronotropes decrease heart rate.
|
positive chrono troops increase heart rate negative chrono troops decrease heart rate. positive chrono tropes increase heart rate negative chrono tropes decrease heart rate. positive chronotropes increase heart rate negative chronotropes decrease heart rate. positive cronotropes increase heart rate negative cronotropes decrease heart rate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['positive chronotropes increase heart rate negative chronotropes decrease heart rate', 'positive chrono troops increase heart rate negative chrono troops decrease heart rate', 'positive chrono tropes increase heart rate negative chrono tropes decrease heart rate', 'positive chronotropes increase heart rate negative chronotropes decrease heart rate', 'positive cronotropes increase heart rate negative cronotropes decrease heart rate']
|
|
[
"limited and based in mumbai maharashtra",
"limited and based in mumbai maharashtra",
"limited and based in mumbai maharashtra",
"limited and based in mumbai maharashtra",
"limited and based in mumbai maharashtra"
] |
limited and based in mumbai maharashtra
|
limited and based in mumbai maharashtra.
|
limited and based in mumbai maharashtra. limited and based in mumbai maharashtra. limited and based in mumbai maharashtra. limited and based in mumbai maharashtra.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['limited and based in mumbai maharashtra', 'limited and based in mumbai maharashtra', 'limited and based in mumbai maharashtra', 'limited and based in mumbai maharashtra', 'limited and based in mumbai maharashtra']
|
|
[
"the disadvantage of time of flight range finders is their accuracy",
"the disadvantage of time of flight range finders is the accuracy",
"the disadvantage of time of light range finders is their accuracy",
"the disadvantage of time of light range finders is their accuracy",
"the disadvantage of time of flight range finders is their accuracy"
] |
the disadvantage of time of flight range finders is their accuracy
|
the disadvantage of time of flight range finders is their accuracy.
|
the disadvantage of time of flight range finders is the accuracy. the disadvantage of time of light range finders is their accuracy. the disadvantage of time of light range finders is their accuracy. the disadvantage of time of flight range finders is their accuracy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the disadvantage of time of flight range finders is their accuracy', 'the disadvantage of time of flight range finders is the accuracy', 'the disadvantage of time of light range finders is their accuracy', 'the disadvantage of time of light range finders is their accuracy', 'the disadvantage of time of flight range finders is their accuracy']
|
|
[
"the borough state police commissioner embossed a state of emergency",
"the board of state police commissioner embossed the state of emergency",
"the border state police commissioner embossed the state of emergency",
"the borough state police commissioner embossed the state of emergency",
"the board of state police commissioner embossed a state of emergency"
] |
the borno state police commissioner imposed a state of emergency
|
the borough state police commissioner embossed a state of emergency.
|
the board of state police commissioner embossed the state of emergency. the border state police commissioner embossed the state of emergency. the borough state police commissioner embossed the state of emergency. the board of state police commissioner embossed a state of emergency.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the borough state police commissioner embossed a state of emergency', 'the board of state police commissioner embossed the state of emergency', 'the border state police commissioner embossed the state of emergency', 'the borough state police commissioner embossed the state of emergency', 'the board of state police commissioner embossed a state of emergency']
|
|
[
"the large volume herbicide glyphosate is also produced this way",
"the large volume herbicide glyphosate is also produced this way",
"the large volume herbicide glyphosate is also produced this way",
"the large volume herbicide glyphosate is also produced this way",
"the large volume herbicide glyphosate is also produced this way"
] |
the large volume herbicide glyphosate is also produced this way
|
the large volume herbicide glyphosate is also produced this way.
|
the large volume herbicide glyphosate is also produced this way. the large volume herbicide glyphosate is also produced this way. the large volume herbicide glyphosate is also produced this way. the large volume herbicide glyphosate is also produced this way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the large volume herbicide glyphosate is also produced this way', 'the large volume herbicide glyphosate is also produced this way', 'the large volume herbicide glyphosate is also produced this way', 'the large volume herbicide glyphosate is also produced this way', 'the large volume herbicide glyphosate is also produced this way']
|
|
[
"it is awarded to the nord by the city of sulfur",
"it is ordered to the nord by the city of sulfur",
"it is awarded to the nord by the city of sulfur",
"it is ordered to the not by the city of sulfur",
"it is ordered to the north by the city of sulfur"
] |
it is bordered to the north by the city of sulfur
|
it is awarded to the nord by the city of sulfur.
|
it is ordered to the nord by the city of sulfur. it is awarded to the nord by the city of sulfur. it is ordered to the not by the city of sulfur. it is ordered to the north by the city of sulfur.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is awarded to the nord by the city of sulfur', 'it is ordered to the nord by the city of sulfur', 'it is awarded to the nord by the city of sulfur', 'it is ordered to the not by the city of sulfur', 'it is ordered to the north by the city of sulfur']
|
|
[
"keramist irma peralta is a graduate of mexico city college",
"kera mist irma peralta is a graduate of mexico city college",
"kerala mist irma peralta is a graduate of mexico city college",
"karamist irma peralta is a graduate of mexico city college",
"keramist irma peralta is a graduate of mexico city college"
] |
ceramist irma peralta is a graduate of mexico city college
|
keramist irma peralta is a graduate of mexico city college.
|
kera mist irma peralta is a graduate of mexico city college. kerala mist irma peralta is a graduate of mexico city college. karamist irma peralta is a graduate of mexico city college. keramist irma peralta is a graduate of mexico city college.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['keramist irma peralta is a graduate of mexico city college', 'kera mist irma peralta is a graduate of mexico city college', 'kerala mist irma peralta is a graduate of mexico city college', 'karamist irma peralta is a graduate of mexico city college', 'keramist irma peralta is a graduate of mexico city college']
|
|
[
"initially there were two separate files",
"initially they were two separate files",
"initially they are two separate files",
"initially they are two separate files",
"initially there are two separate files"
] |
initially there were two separate fires
|
initially there were two separate files.
|
initially they were two separate files. initially they are two separate files. initially they are two separate files. initially there are two separate files.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['initially there were two separate files', 'initially they were two separate files', 'initially they are two separate files', 'initially they are two separate files', 'initially there are two separate files']
|
|
[
"find the film is success at sundance it garnered generally positive reviews",
"find the film is success at sundance it garnered a generally positive reviews",
"find the film is success at sundance it garnered generally positive reviews",
"find the film is success at sundance it garnered a generally positive review",
"find the film is success at sundance it has gone into generally positive reviews"
] |
following the film is success at sundance it garnered generally positive reviews
|
find the film is success at sundance it garnered generally positive reviews.
|
find the film is success at sundance it garnered a generally positive reviews. find the film is success at sundance it garnered generally positive reviews. find the film is success at sundance it garnered a generally positive review. find the film is success at sundance it has gone into generally positive reviews.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['find the film is success at sundance it garnered generally positive reviews', 'find the film is success at sundance it garnered a generally positive reviews', 'find the film is success at sundance it garnered generally positive reviews', 'find the film is success at sundance it garnered a generally positive review', 'find the film is success at sundance it has gone into generally positive reviews']
|
|
[
"throughout his life one saw a quiet estate in many parts of the kingdom",
"throughout his life one saw acquired a state in many parts of the kingdom",
"throughout his life one saw acquired a state of many parts of the kingdom",
"throughout his life one saw a quieter state than many parts of the kingdom",
"throughout his life bunsoh acquired a state of many parts of the kingdom"
] |
throughout his life wyndsore acquired estates in many parts of the kingdom
|
throughout his life one saw a quiet estate in many parts of the kingdom.
|
throughout his life one saw acquired a state in many parts of the kingdom. throughout his life one saw acquired a state of many parts of the kingdom. throughout his life one saw a quieter state than many parts of the kingdom. throughout his life bunsoh acquired a state of many parts of the kingdom.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['throughout his life one saw a quiet estate in many parts of the kingdom', 'throughout his life one saw acquired a state in many parts of the kingdom', 'throughout his life one saw acquired a state of many parts of the kingdom', 'throughout his life one saw a quieter state than many parts of the kingdom', 'throughout his life bunsoh acquired a state of many parts of the kingdom']
|
|
[
"in this last battle he and amras were both killed",
"in this last battle he and ambras were both killed",
"in this last battle he and amras were both killed",
"in this last battle he and ambras were both killed",
"in this last battle he and ambrace were both killed"
] |
in this last battle he and amras were both killed
|
in this last battle he and amras were both killed.
|
in this last battle he and ambras were both killed. in this last battle he and amras were both killed. in this last battle he and ambras were both killed. in this last battle he and ambrace were both killed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this last battle he and amras were both killed', 'in this last battle he and ambras were both killed', 'in this last battle he and amras were both killed', 'in this last battle he and ambras were both killed', 'in this last battle he and ambrace were both killed']
|
|
[
"trenches will dug across the surrounding area to prevent an airborne attack",
"trenchers would dive across the surrounding area to prevent an airborne attack",
"trenches would dug across the surrounding area to prevent an airborne attack",
"trenches will dive across the surrounding area to prevent an airborne attack",
"trenches would dive across the surrounding area to prevent an airborne attack"
] |
trenches were dug across the surrounding area to prevent an airborne attack
|
trenches will dug across the surrounding area to prevent an airborne attack.
|
trenchers would dive across the surrounding area to prevent an airborne attack. trenches would dug across the surrounding area to prevent an airborne attack. trenches will dive across the surrounding area to prevent an airborne attack. trenches would dive across the surrounding area to prevent an airborne attack.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['trenches will dug across the surrounding area to prevent an airborne attack', 'trenchers would dive across the surrounding area to prevent an airborne attack', 'trenches would dug across the surrounding area to prevent an airborne attack', 'trenches will dive across the surrounding area to prevent an airborne attack', 'trenches would dive across the surrounding area to prevent an airborne attack']
|
|
[
"i believe he is in that cupboard first in this cupboard",
"i believe he is in that cupboard first in this cupboard",
"i believe he is in the cupboard first in this cupboard",
"i believe he is in the cupboard first in this cupboard",
"i believe he is in that cupboard versus in this cupboard"
] |
i believe he is in that cupboard what is in this cupboard
|
i believe he is in that cupboard first in this cupboard.
|
i believe he is in that cupboard first in this cupboard. i believe he is in the cupboard first in this cupboard. i believe he is in the cupboard first in this cupboard. i believe he is in that cupboard versus in this cupboard.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i believe he is in that cupboard first in this cupboard', 'i believe he is in that cupboard first in this cupboard', 'i believe he is in the cupboard first in this cupboard', 'i believe he is in the cupboard first in this cupboard', 'i believe he is in that cupboard versus in this cupboard']
|
|
[
"fuller took on the work at home",
"fuller took on the work at home",
"follower took on the work at home",
"fuller took on the work at home",
"follower took on the work at home"
] |
fuller took on the work at home
|
fuller took on the work at home.
|
fuller took on the work at home. follower took on the work at home. fuller took on the work at home. follower took on the work at home.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fuller took on the work at home', 'fuller took on the work at home', 'follower took on the work at home', 'fuller took on the work at home', 'follower took on the work at home']
|
|
[
"other designs include bridges mills and a possible forerunner to the wankle engine",
"other designs include bridges mills and a possible forerunner to the wankle engine",
"other designs include bridges mills and a possible forerunner to the wankle engine",
"other designs include bridges mills and a possible foreigner to the wankle engine",
"other designs include bridges mills and a possible foreigner to the wankle engine"
] |
other designs include bridges mills and a possible forerunner to the wankel engine
|
other designs include bridges mills and a possible forerunner to the wankle engine.
|
other designs include bridges mills and a possible forerunner to the wankle engine. other designs include bridges mills and a possible forerunner to the wankle engine. other designs include bridges mills and a possible foreigner to the wankle engine. other designs include bridges mills and a possible foreigner to the wankle engine.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other designs include bridges mills and a possible forerunner to the wankle engine', 'other designs include bridges mills and a possible forerunner to the wankle engine', 'other designs include bridges mills and a possible forerunner to the wankle engine', 'other designs include bridges mills and a possible foreigner to the wankle engine', 'other designs include bridges mills and a possible foreigner to the wankle engine']
|
|
[
"one is roman catholic and the other is united methodist",
"one is roman catholic and the other is united methodist",
"one is roman catholic and the other is united methodist",
"one is roman catholic and the other is united methodist",
"one is roman catholic and the other is united methodist"
] |
one is roman catholic and the other is united methodist
|
one is roman catholic and the other is united methodist.
|
one is roman catholic and the other is united methodist. one is roman catholic and the other is united methodist. one is roman catholic and the other is united methodist. one is roman catholic and the other is united methodist.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['one is roman catholic and the other is united methodist', 'one is roman catholic and the other is united methodist', 'one is roman catholic and the other is united methodist', 'one is roman catholic and the other is united methodist', 'one is roman catholic and the other is united methodist']
|
|
[
"acclaimed played lea",
"acclaimed played lear",
"acclaimed played leah",
"acclaimed played liyah",
"acclaimed played lia"
] |
ackland played lear
|
acclaimed played lea.
|
acclaimed played lear. acclaimed played leah. acclaimed played liyah. acclaimed played lia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['acclaimed played lea', 'acclaimed played lear', 'acclaimed played leah', 'acclaimed played liyah', 'acclaimed played lia']
|
|
[
"he became governor of a series of ottoman municipalities and regions",
"he became governor of a series of ottoman municipalities and regions",
"he became the governor of a series of ottoman municipalities and regions",
"he became the governor of a series of ottoman municipalities and regions",
"he became the governor of a series of ottoman municipalities and regions"
] |
he became governor of a series of ottoman municipalities and regions
|
he became governor of a series of ottoman municipalities and regions.
|
he became governor of a series of ottoman municipalities and regions. he became the governor of a series of ottoman municipalities and regions. he became the governor of a series of ottoman municipalities and regions. he became the governor of a series of ottoman municipalities and regions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he became governor of a series of ottoman municipalities and regions', 'he became governor of a series of ottoman municipalities and regions', 'he became the governor of a series of ottoman municipalities and regions', 'he became the governor of a series of ottoman municipalities and regions', 'he became the governor of a series of ottoman municipalities and regions']
|
|
[
"paul is man plus also belongs to this category",
"paul is man plus also belongs to this category",
"paul is man plus also belongs to this category",
"paul is manplast also belongs to this category",
"paul is men plus also belongs to this category"
] |
frederik pohl is man plus also belongs to this category
|
paul is man plus also belongs to this category.
|
paul is man plus also belongs to this category. paul is man plus also belongs to this category. paul is manplast also belongs to this category. paul is men plus also belongs to this category.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['paul is man plus also belongs to this category', 'paul is man plus also belongs to this category', 'paul is man plus also belongs to this category', 'paul is manplast also belongs to this category', 'paul is men plus also belongs to this category']
|
|
[
"stout was born in bradford west yorkshire england to barbedon paves",
"stout was born in brandford west yorkshire england to barbedon paves",
"stout was born in brandford west yorkshire england to barbedon pays",
"stout was born in bradford west yorkshire england to barbedon pays",
"stout was born in bradford west yorkshire england to barbedon paves"
] |
stoute was born in bradford west yorkshire england to barbadian parents
|
stout was born in bradford west yorkshire england to barbedon paves.
|
stout was born in brandford west yorkshire england to barbedon paves. stout was born in brandford west yorkshire england to barbedon pays. stout was born in bradford west yorkshire england to barbedon pays. stout was born in bradford west yorkshire england to barbedon paves.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['stout was born in bradford west yorkshire england to barbedon paves', 'stout was born in brandford west yorkshire england to barbedon paves', 'stout was born in brandford west yorkshire england to barbedon pays', 'stout was born in bradford west yorkshire england to barbedon pays', 'stout was born in bradford west yorkshire england to barbedon paves']
|
|
[
"tisha mingo is part of the taxoma region",
"tisha mingo is part of the txoma region",
"tisha mingo is part of the taxoma region",
"tisha mingo is part of the taxomer region",
"tishamingo is part of the txoma region"
] |
tishomingo is part of the texoma region
|
tisha mingo is part of the taxoma region.
|
tisha mingo is part of the txoma region. tisha mingo is part of the taxoma region. tisha mingo is part of the taxomer region. tishamingo is part of the txoma region.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tisha mingo is part of the taxoma region', 'tisha mingo is part of the txoma region', 'tisha mingo is part of the taxoma region', 'tisha mingo is part of the taxomer region', 'tishamingo is part of the txoma region']
|
|
[
"students may seek admission to neighboring public school districts",
"students may seek admission to neighboring public school districts",
"students may seek admission to neighboring public school districts",
"students may seek admission to neighboring public school districts",
"students may seek admission to neighboring public school districts"
] |
students may seek admission to neighboring public school districts
|
students may seek admission to neighboring public school districts.
|
students may seek admission to neighboring public school districts. students may seek admission to neighboring public school districts. students may seek admission to neighboring public school districts. students may seek admission to neighboring public school districts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['students may seek admission to neighboring public school districts', 'students may seek admission to neighboring public school districts', 'students may seek admission to neighboring public school districts', 'students may seek admission to neighboring public school districts', 'students may seek admission to neighboring public school districts']
|
|
[
"growth factors are statistically determined from historical data of the road segment",
"road factors are statistically determined from historical data of the road segment",
"rode factors are statistically determined from historical data of the road segment",
"growth factors are statistically determined from historical data of the rode segment",
"growth factors are statistically determined from historical data of the road segment"
] |
growth factors are statistically determined from historical data of the road segment
|
growth factors are statistically determined from historical data of the road segment.
|
road factors are statistically determined from historical data of the road segment. rode factors are statistically determined from historical data of the road segment. growth factors are statistically determined from historical data of the rode segment. growth factors are statistically determined from historical data of the road segment.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['growth factors are statistically determined from historical data of the road segment', 'road factors are statistically determined from historical data of the road segment', 'rode factors are statistically determined from historical data of the road segment', 'growth factors are statistically determined from historical data of the rode segment', 'growth factors are statistically determined from historical data of the road segment']
|
|
[
"this moment is closely restricted by charles de risse is",
"this moment is closely restricted by charles de rises",
"this moment is closely restricted by schilder is rises",
"this moment is closely restricted by charles de risses",
"this moment is closely restricted by charles de rissus"
] |
this movement is closely restricted by a shoulder recess
|
this moment is closely restricted by charles de risse is.
|
this moment is closely restricted by charles de rises. this moment is closely restricted by schilder is rises. this moment is closely restricted by charles de risses. this moment is closely restricted by charles de rissus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this moment is closely restricted by charles de risse is', 'this moment is closely restricted by charles de rises', 'this moment is closely restricted by schilder is rises', 'this moment is closely restricted by charles de risses', 'this moment is closely restricted by charles de rissus']
|
|
[
"the award is named for recalcitrant american civil war general george mckellen",
"the award is named for recalcitrant american civil war general george mckellen",
"the award is named for recalcitrant american civil war general george mckellan",
"the award is named for recalcitrant american civil war general george mckellen",
"the award is named for recalcitrant american civil war general george mckellen"
] |
the award is named for recalcitrant american civil war general george mcclellan
|
the award is named for recalcitrant american civil war general george mckellen.
|
the award is named for recalcitrant american civil war general george mckellen. the award is named for recalcitrant american civil war general george mckellan. the award is named for recalcitrant american civil war general george mckellen. the award is named for recalcitrant american civil war general george mckellen.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the award is named for recalcitrant american civil war general george mckellen', 'the award is named for recalcitrant american civil war general george mckellen', 'the award is named for recalcitrant american civil war general george mckellan', 'the award is named for recalcitrant american civil war general george mckellen', 'the award is named for recalcitrant american civil war general george mckellen']
|
|
[
"it has recently been restored and renovated to provide apartments available for rent",
"it has recently been restored and renovated to provide apartments available for rent",
"it has recently been restored and renovated to provide apartments available for rent",
"it has recently been restored and renovated to provide apartments available for rent",
"it has recently been restored and renovated to provide apartments available for rent"
] |
it has recently been restored and renovated to provide apartments available for rent
|
it has recently been restored and renovated to provide apartments available for rent.
|
it has recently been restored and renovated to provide apartments available for rent. it has recently been restored and renovated to provide apartments available for rent. it has recently been restored and renovated to provide apartments available for rent. it has recently been restored and renovated to provide apartments available for rent.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it has recently been restored and renovated to provide apartments available for rent', 'it has recently been restored and renovated to provide apartments available for rent', 'it has recently been restored and renovated to provide apartments available for rent', 'it has recently been restored and renovated to provide apartments available for rent', 'it has recently been restored and renovated to provide apartments available for rent']
|
|
[
"it seems that he was influenced by the theories of pythagoras",
"it seems he was influenced by the theories of pythagoras",
"it seems that he was influenced by theories of pythagoras",
"it seems that he was influenced by theories of pythagoras",
"it seems that he was influenced by the theories of pythagoras"
] |
it seems that he was influenced by the theories of pythagoras
|
it seems that he was influenced by the theories of pythagoras.
|
it seems he was influenced by the theories of pythagoras. it seems that he was influenced by theories of pythagoras. it seems that he was influenced by theories of pythagoras. it seems that he was influenced by the theories of pythagoras.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it seems that he was influenced by the theories of pythagoras', 'it seems he was influenced by the theories of pythagoras', 'it seems that he was influenced by theories of pythagoras', 'it seems that he was influenced by theories of pythagoras', 'it seems that he was influenced by the theories of pythagoras']
|
|
[
"this was perhaps the most popular of holland is translations",
"this is perhaps the most popular of holland is translations",
"this was perhaps the most popular of holen is translations",
"this is perhaps the most popular of holen is translations",
"this is perhaps the most popular of holland is translations"
] |
this was perhaps the most popular of holland is translations
|
this was perhaps the most popular of holland is translations.
|
this is perhaps the most popular of holland is translations. this was perhaps the most popular of holen is translations. this is perhaps the most popular of holen is translations. this is perhaps the most popular of holland is translations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was perhaps the most popular of holland is translations', 'this is perhaps the most popular of holland is translations', 'this was perhaps the most popular of holen is translations', 'this is perhaps the most popular of holen is translations', 'this is perhaps the most popular of holland is translations']
|
|
[
"as russian reinforcements arrive the spent swedish army retired to their defensive positions again",
"as russian reinforcements arrive the spent swedish army retired to their defensive positions again",
"as russian reinforcements arrive the spent swedish army retired to their defensive positions again",
"as russian reinforcements arrived the spent swedish army retired to their defensive positions again",
"as russian reinforcements arrive the spent swedish army retired to their defensive positions again"
] |
as russian reinforcements arrived the spent swedish army retired to their defensive positions again
|
as russian reinforcements arrive the spent swedish army retired to their defensive positions again.
|
as russian reinforcements arrive the spent swedish army retired to their defensive positions again. as russian reinforcements arrive the spent swedish army retired to their defensive positions again. as russian reinforcements arrived the spent swedish army retired to their defensive positions again. as russian reinforcements arrive the spent swedish army retired to their defensive positions again.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as russian reinforcements arrive the spent swedish army retired to their defensive positions again', 'as russian reinforcements arrive the spent swedish army retired to their defensive positions again', 'as russian reinforcements arrive the spent swedish army retired to their defensive positions again', 'as russian reinforcements arrived the spent swedish army retired to their defensive positions again', 'as russian reinforcements arrive the spent swedish army retired to their defensive positions again']
|
|
[
"every partial equivalence relation is dysfunctional relation but the converse does not",
"every partial equivalence relation is dysfunctional relation but the converse does not",
"every partial equivalence relation is distunctional relation but the converse does not",
"every partial equivalence relation is dysfunctional relation but the converse does not forward",
"every partial equivalence relation is distunctional relation but the converse does not towards"
] |
every partial equivalence relation is a difunctional relation but the converse does not hold
|
every partial equivalence relation is dysfunctional relation but the converse does not.
|
every partial equivalence relation is dysfunctional relation but the converse does not. every partial equivalence relation is distunctional relation but the converse does not. every partial equivalence relation is dysfunctional relation but the converse does not forward. every partial equivalence relation is distunctional relation but the converse does not towards.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['every partial equivalence relation is dysfunctional relation but the converse does not', 'every partial equivalence relation is dysfunctional relation but the converse does not', 'every partial equivalence relation is distunctional relation but the converse does not', 'every partial equivalence relation is dysfunctional relation but the converse does not forward', 'every partial equivalence relation is distunctional relation but the converse does not towards']
|
|
[
"the kanta bhoba hospital street half a million children per year free of charge",
"the kanta bhopa hospitals treat half a million children per year free of charge",
"the kanta bhoba hospitals treat half a million children per year free of charge",
"the kanta bhoba hospitals treat half a million children per year free of charge",
"the kanta bhoba hospital street half a million children per year free of charge"
] |
the kantha bopha hospitals treat half a million children per year free of charge
|
the kanta bhoba hospital street half a million children per year free of charge.
|
the kanta bhopa hospitals treat half a million children per year free of charge. the kanta bhoba hospitals treat half a million children per year free of charge. the kanta bhoba hospitals treat half a million children per year free of charge. the kanta bhoba hospital street half a million children per year free of charge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the kanta bhoba hospital street half a million children per year free of charge', 'the kanta bhopa hospitals treat half a million children per year free of charge', 'the kanta bhoba hospitals treat half a million children per year free of charge', 'the kanta bhoba hospitals treat half a million children per year free of charge', 'the kanta bhoba hospital street half a million children per year free of charge']
|
|
[
"the city of sema is located within the town",
"the city of samai is located within the town",
"the city of sema is located within the town",
"the city of seema is located within the town",
"the city of samais located within the town"
] |
the city of seymour is located within the town
|
the city of sema is located within the town.
|
the city of samai is located within the town. the city of sema is located within the town. the city of seema is located within the town. the city of samais located within the town.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the city of sema is located within the town', 'the city of samai is located within the town', 'the city of sema is located within the town', 'the city of seema is located within the town', 'the city of samais located within the town']
|
|
[
"his parents were divorced when he was seven",
"his parents were divorced when he was seven",
"his parents were divorced when he was seven",
"his parents were divorced when he was seven",
"his parents were divorced when he was seven"
] |
his parents were divorced when he was seven
|
his parents were divorced when he was seven.
|
his parents were divorced when he was seven. his parents were divorced when he was seven. his parents were divorced when he was seven. his parents were divorced when he was seven.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his parents were divorced when he was seven', 'his parents were divorced when he was seven', 'his parents were divorced when he was seven', 'his parents were divorced when he was seven', 'his parents were divorced when he was seven']
|
|
[
"the genus hetero tectilus contain the following three species",
"the janus heterotech tillers contain the following three species",
"the janus heterotech dealers contain the following three species",
"the genus heterotech tilus contain the following three species",
"the janus heterotec dealers contain the following three species"
] |
the genus heterodactylus contains the following three species
|
the genus hetero tectilus contain the following three species.
|
the janus heterotech tillers contain the following three species. the janus heterotech dealers contain the following three species. the genus heterotech tilus contain the following three species. the janus heterotec dealers contain the following three species.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the genus hetero tectilus contain the following three species', 'the janus heterotech tillers contain the following three species', 'the janus heterotech dealers contain the following three species', 'the genus heterotech tilus contain the following three species', 'the janus heterotec dealers contain the following three species']
|
|
[
"many natural pocus beaches exist throughout the world",
"many natural focus pages exist throughout the world",
"many natural focused beaches exist throughout the world",
"many natural pocus beaches exist throughout the world",
"many natural poucus beaches exist throughout the world"
] |
many natural pocket beaches exist throughout the world
|
many natural pocus beaches exist throughout the world.
|
many natural focus pages exist throughout the world. many natural focused beaches exist throughout the world. many natural pocus beaches exist throughout the world. many natural poucus beaches exist throughout the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many natural pocus beaches exist throughout the world', 'many natural focus pages exist throughout the world', 'many natural focused beaches exist throughout the world', 'many natural pocus beaches exist throughout the world', 'many natural poucus beaches exist throughout the world']
|
|
[
"the full power license was canceled on that date",
"the full power license was canceled on that date",
"the full power license was canceled on that day",
"the full power license was canceled on that day",
"the food power license was canceled on that date"
] |
the full power license was canceled on that date
|
the full power license was canceled on that date.
|
the full power license was canceled on that date. the full power license was canceled on that day. the full power license was canceled on that day. the food power license was canceled on that date.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the full power license was canceled on that date', 'the full power license was canceled on that date', 'the full power license was canceled on that day', 'the full power license was canceled on that day', 'the food power license was canceled on that date']
|
|
[
"all rulers did not receive chinese language posthumous name after death",
"ooh rulers did not receive chinese language posthumous name after death",
"all rulers did not receive a chinese language posthumous name after death",
"oh rulers did not receive chinese language posthumous name after death",
"all rulers did not receive a chinese language posthumous name after death"
] |
wu rulers did not receive chinese language posthumous names after death
|
all rulers did not receive chinese language posthumous name after death.
|
ooh rulers did not receive chinese language posthumous name after death. all rulers did not receive a chinese language posthumous name after death. oh rulers did not receive chinese language posthumous name after death. all rulers did not receive a chinese language posthumous name after death.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all rulers did not receive chinese language posthumous name after death', 'ooh rulers did not receive chinese language posthumous name after death', 'all rulers did not receive a chinese language posthumous name after death', 'oh rulers did not receive chinese language posthumous name after death', 'all rulers did not receive a chinese language posthumous name after death']
|
|
[
"a radical scavengers proved a viable method of measuring protection of hydroxyl radical",
"radical scavengers proved a viable method of measuring protection of hydroxyl radical",
"a radical scavengers proved a viable method of measuring production of hydroxyl radical",
"a radical scavengers proved a viable method of measuring protection of hydroxyl radicals",
"radical scavengers proved a viable method of measuring protection of hydroxyl radicals"
] |
radical scavengers proved a viable method of measuring production of hydroxyl radical
|
a radical scavengers proved a viable method of measuring protection of hydroxyl radical.
|
radical scavengers proved a viable method of measuring protection of hydroxyl radical. a radical scavengers proved a viable method of measuring production of hydroxyl radical. a radical scavengers proved a viable method of measuring protection of hydroxyl radicals. radical scavengers proved a viable method of measuring protection of hydroxyl radicals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a radical scavengers proved a viable method of measuring protection of hydroxyl radical', 'radical scavengers proved a viable method of measuring protection of hydroxyl radical', 'a radical scavengers proved a viable method of measuring production of hydroxyl radical', 'a radical scavengers proved a viable method of measuring protection of hydroxyl radicals', 'radical scavengers proved a viable method of measuring protection of hydroxyl radicals']
|
|
[
"prominent memphis families will last stately homes in the area",
"prominent memphis families will last stately homes in the area",
"common and memphis families will last stately homes in the area",
"prominent memphis families will last straightly homes in the area",
"prominent memphis families will last straightly homes in the area"
] |
prominent memphis families built large stately homes in the area
|
prominent memphis families will last stately homes in the area.
|
prominent memphis families will last stately homes in the area. common and memphis families will last stately homes in the area. prominent memphis families will last straightly homes in the area. prominent memphis families will last straightly homes in the area.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['prominent memphis families will last stately homes in the area', 'prominent memphis families will last stately homes in the area', 'common and memphis families will last stately homes in the area', 'prominent memphis families will last straightly homes in the area', 'prominent memphis families will last straightly homes in the area']
|
|
[
"the area is very lush and green with many trees and parks",
"the area is very lush and green with many trees and ponds",
"the area is very lush and green with many trees and parks",
"the area is very lush and green with many trees and parks",
"the area is very lush and green with many trees and parks"
] |
the area is very lush and green with many trees and parks
|
the area is very lush and green with many trees and parks.
|
the area is very lush and green with many trees and ponds. the area is very lush and green with many trees and parks. the area is very lush and green with many trees and parks. the area is very lush and green with many trees and parks.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the area is very lush and green with many trees and parks', 'the area is very lush and green with many trees and ponds', 'the area is very lush and green with many trees and parks', 'the area is very lush and green with many trees and parks', 'the area is very lush and green with many trees and parks']
|
|
[
"sometimes you see books that have been written in one month",
"sometimes you see books that have been written in one month",
"sometimes you see books that have been written in one month",
"sometimes you see books that have been written in one month",
"sometimes you see books that have been written in one month"
] |
sometimes you see books that have been written in one month
|
sometimes you see books that have been written in one month.
|
sometimes you see books that have been written in one month. sometimes you see books that have been written in one month. sometimes you see books that have been written in one month. sometimes you see books that have been written in one month.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sometimes you see books that have been written in one month', 'sometimes you see books that have been written in one month', 'sometimes you see books that have been written in one month', 'sometimes you see books that have been written in one month', 'sometimes you see books that have been written in one month']
|
|
[
"this decision can be affected by a aforementioned forecast",
"this decision can be effected by a aforementioned forecast",
"this decision can be affected by aforementioned forecast",
"this decision can be effected by aforementioned forecast",
"this decision can be affected by aforementioned forecast"
] |
this decision can be affected by aforementioned forecast
|
this decision can be affected by a aforementioned forecast.
|
this decision can be effected by a aforementioned forecast. this decision can be affected by aforementioned forecast. this decision can be effected by aforementioned forecast. this decision can be affected by aforementioned forecast.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this decision can be affected by a aforementioned forecast', 'this decision can be effected by a aforementioned forecast', 'this decision can be affected by aforementioned forecast', 'this decision can be effected by aforementioned forecast', 'this decision can be affected by aforementioned forecast']
|
|
[
"she has performed numerous regional shows",
"she has performed numerous regional shows",
"she has performed numerous regional shows",
"she has performed numerous regional shows",
"she has performed numerous regional shows"
] |
she has performed in numerous regional shows
|
she has performed numerous regional shows.
|
she has performed numerous regional shows. she has performed numerous regional shows. she has performed numerous regional shows. she has performed numerous regional shows.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she has performed numerous regional shows', 'she has performed numerous regional shows', 'she has performed numerous regional shows', 'she has performed numerous regional shows', 'she has performed numerous regional shows']
|
|
[
"he had too busy a time of it",
"he had too busy a time of it",
"he had too busy a time of it",
"he had too busy a time of it",
"he had too busy a time of it"
] |
he had too busy a time of it
|
he had too busy a time of it.
|
he had too busy a time of it. he had too busy a time of it. he had too busy a time of it. he had too busy a time of it.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he had too busy a time of it', 'he had too busy a time of it', 'he had too busy a time of it', 'he had too busy a time of it', 'he had too busy a time of it']
|
|
[
"looking not here charter calls it count of the palace",
"looking not here charter calls it count of the palace",
"aking not here charter calls it count of the palace",
"making note here charter calls it count of the palace",
"taking note here charter calls it count of the palace"
] |
a king lothair charter calls it count of the palace
|
looking not here charter calls it count of the palace.
|
looking not here charter calls it count of the palace. aking not here charter calls it count of the palace. making note here charter calls it count of the palace. taking note here charter calls it count of the palace.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['looking not here charter calls it count of the palace', 'looking not here charter calls it count of the palace', 'aking not here charter calls it count of the palace', 'making note here charter calls it count of the palace', 'taking note here charter calls it count of the palace']
|
|
[
"cuda is a form of martial arts",
"cuda is a form of martial arts",
"qudah is a form of martial arts",
"cudah is a form of martial arts",
"cuda is a form of martial arts"
] |
judo is a form of martial arts
|
cuda is a form of martial arts.
|
cuda is a form of martial arts. qudah is a form of martial arts. cudah is a form of martial arts. cuda is a form of martial arts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cuda is a form of martial arts', 'cuda is a form of martial arts', 'qudah is a form of martial arts', 'cudah is a form of martial arts', 'cuda is a form of martial arts']
|
|
[
"the change in title by warner was also in violation of zappers contract",
"the change in title by warner was also in violation of zuppers contract",
"the change in title by warner was also in violation of zupper is contract",
"the change in title by warner was also in violation of zapis contract",
"the change in title by warner was also in violation of zappi is contract"
] |
the change in title by warner was also in violation of zappa is contract
|
the change in title by warner was also in violation of zappers contract.
|
the change in title by warner was also in violation of zuppers contract. the change in title by warner was also in violation of zupper is contract. the change in title by warner was also in violation of zapis contract. the change in title by warner was also in violation of zappi is contract.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the change in title by warner was also in violation of zappers contract', 'the change in title by warner was also in violation of zuppers contract', 'the change in title by warner was also in violation of zupper is contract', 'the change in title by warner was also in violation of zapis contract', 'the change in title by warner was also in violation of zappi is contract']
|
|
[
"around the corner of the man is came toby",
"around the corner of the mance came toby",
"round the corner of the man is came toby",
"round the corner of the mance came toby",
"around the corner of the man is camtoby"
] |
round the corner of the manse came toby
|
around the corner of the man is came toby.
|
around the corner of the mance came toby. round the corner of the man is came toby. round the corner of the mance came toby. around the corner of the man is camtoby.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['around the corner of the man is came toby', 'around the corner of the mance came toby', 'round the corner of the man is came toby', 'round the corner of the mance came toby', 'around the corner of the man is camtoby']
|
|
[
"julia bell kept working actively for many years",
"julie bell kept working actively for many years",
"julie abel kept working actively for many years",
"julie bell kept working actively for many years",
"julie bell kept working actively for many years"
] |
julia bell kept working actively for many years
|
julia bell kept working actively for many years.
|
julie bell kept working actively for many years. julie abel kept working actively for many years. julie bell kept working actively for many years. julie bell kept working actively for many years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['julia bell kept working actively for many years', 'julie bell kept working actively for many years', 'julie abel kept working actively for many years', 'julie bell kept working actively for many years', 'julie bell kept working actively for many years']
|
|
[
"his father was a coleman and an amateur boxer",
"his father was a colonel and an amateur boxer",
"his father was a colon and an amateur boxer",
"his father was a colman and an amateur boxer",
"his father was a coalman and an amateur boxer"
] |
his father was a coalman and an amateur boxer
|
his father was a coleman and an amateur boxer.
|
his father was a colonel and an amateur boxer. his father was a colon and an amateur boxer. his father was a colman and an amateur boxer. his father was a coalman and an amateur boxer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his father was a coleman and an amateur boxer', 'his father was a colonel and an amateur boxer', 'his father was a colon and an amateur boxer', 'his father was a colman and an amateur boxer', 'his father was a coalman and an amateur boxer']
|
|
[
"this species is insectivorous and like other chats hunts from a prominent low urch",
"the species is insectivorous and like other chats hunts from a prominent low urch",
"this species is insectivorous and like other chats hunts from a prominent low terge",
"this species is insectivorous and like other chats hunts from a prominent low urch",
"the species is insectivorous and like other chats hunts from a prominent low terge"
] |
this species is insectivorous and like other chats hunts from a prominent low perch
|
this species is insectivorous and like other chats hunts from a prominent low urch.
|
the species is insectivorous and like other chats hunts from a prominent low urch. this species is insectivorous and like other chats hunts from a prominent low terge. this species is insectivorous and like other chats hunts from a prominent low urch. the species is insectivorous and like other chats hunts from a prominent low terge.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this species is insectivorous and like other chats hunts from a prominent low urch', 'the species is insectivorous and like other chats hunts from a prominent low urch', 'this species is insectivorous and like other chats hunts from a prominent low terge', 'this species is insectivorous and like other chats hunts from a prominent low urch', 'the species is insectivorous and like other chats hunts from a prominent low terge']
|
|
[
"this was a typical independence moment of the period",
"this was a typical independent moment of the period",
"this was a typical independence moment of the period",
"this was the typical independence moment of the period",
"this was a typical independent moment of the period"
] |
this was a typical independence movement of the period
|
this was a typical independence moment of the period.
|
this was a typical independent moment of the period. this was a typical independence moment of the period. this was the typical independence moment of the period. this was a typical independent moment of the period.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was a typical independence moment of the period', 'this was a typical independent moment of the period', 'this was a typical independence moment of the period', 'this was the typical independence moment of the period', 'this was a typical independent moment of the period']
|
|
[
"he has also studied in belgium",
"he has also started in belgium",
"he has also studied in belgium",
"he has also studied in belgium",
"he has also studied in belgium"
] |
he has also studied in belgium
|
he has also studied in belgium.
|
he has also started in belgium. he has also studied in belgium. he has also studied in belgium. he has also studied in belgium.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has also studied in belgium', 'he has also started in belgium', 'he has also studied in belgium', 'he has also studied in belgium', 'he has also studied in belgium']
|
|
[
"a firestorm ensued",
"a firestorm ensued",
"a fire storm ensued",
"a firestorm ensured",
"a firestorm ensued"
] |
a firestorm ensued
|
a firestorm ensued.
|
a firestorm ensued. a fire storm ensued. a firestorm ensured. a firestorm ensued.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a firestorm ensued', 'a firestorm ensued', 'a fire storm ensued', 'a firestorm ensured', 'a firestorm ensued']
|
|
[
"his father back to tour nekon was a printer and bookseller",
"his father back to tornacon was a printer and bookseller",
"his father back to tour nekon was a printer and bookseller",
"his father back to tornacon was a printer and bookseller",
"his father back to tour nekon was a printer and bookseller"
] |
his father victor tournachon was a printer and bookseller
|
his father back to tour nekon was a printer and bookseller.
|
his father back to tornacon was a printer and bookseller. his father back to tour nekon was a printer and bookseller. his father back to tornacon was a printer and bookseller. his father back to tour nekon was a printer and bookseller.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his father back to tour nekon was a printer and bookseller', 'his father back to tornacon was a printer and bookseller', 'his father back to tour nekon was a printer and bookseller', 'his father back to tornacon was a printer and bookseller', 'his father back to tour nekon was a printer and bookseller']
|
|
[
"the mussolium is of a greek style and is intentionally unnamed",
"the mosulium is of a greek style and is intentionally unnamed",
"the musoleum is of a greek style and is intentionally unnamed",
"the mausoleum is of a greek style and is intentionally unnamed",
"the mausoleum is of a greek style and is intentionally unnamed"
] |
the mausoleum is of a greek style and is intentionally unnamed
|
the mussolium is of a greek style and is intentionally unnamed.
|
the mosulium is of a greek style and is intentionally unnamed. the musoleum is of a greek style and is intentionally unnamed. the mausoleum is of a greek style and is intentionally unnamed. the mausoleum is of a greek style and is intentionally unnamed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mussolium is of a greek style and is intentionally unnamed', 'the mosulium is of a greek style and is intentionally unnamed', 'the musoleum is of a greek style and is intentionally unnamed', 'the mausoleum is of a greek style and is intentionally unnamed', 'the mausoleum is of a greek style and is intentionally unnamed']
|
|
[
"you look to the handkerchief more closely",
"you look to the hanket chief more closely",
"you look to the handkerchief more closely",
"you look to the handkerchief more closely",
"you look to the handkerchief more closely"
] |
he looked at the handkerchief more closely
|
you look to the handkerchief more closely.
|
you look to the hanket chief more closely. you look to the handkerchief more closely. you look to the handkerchief more closely. you look to the handkerchief more closely.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you look to the handkerchief more closely', 'you look to the hanket chief more closely', 'you look to the handkerchief more closely', 'you look to the handkerchief more closely', 'you look to the handkerchief more closely']
|
|
[
"it makes frequent encounters with these inner planets",
"it makes frequent encounters with these in our planets",
"it makes frequent encounters with these in our planets",
"it makes frequent encounters with these in our planets",
"it makes frequent encounters with these in our planets"
] |
it makes frequent encounters with these inner planets
|
it makes frequent encounters with these inner planets.
|
it makes frequent encounters with these in our planets. it makes frequent encounters with these in our planets. it makes frequent encounters with these in our planets. it makes frequent encounters with these in our planets.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it makes frequent encounters with these inner planets', 'it makes frequent encounters with these in our planets', 'it makes frequent encounters with these in our planets', 'it makes frequent encounters with these in our planets', 'it makes frequent encounters with these in our planets']
|
|
[
"the diocese of clcot is a member of the world communion of reformed churches",
"the diocese of clcot is a member of the world communion of reformed churches",
"the diocese of clcot is a member of the world communion of reformed churches",
"the diocese of clcot is a member of the world communion of reform churches",
"the diocese of clcot is a member of the world communion of reformed churches"
] |
the diocese of sialkot is a member of the world communion of reformed churches
|
the diocese of clcot is a member of the world communion of reformed churches.
|
the diocese of clcot is a member of the world communion of reformed churches. the diocese of clcot is a member of the world communion of reformed churches. the diocese of clcot is a member of the world communion of reform churches. the diocese of clcot is a member of the world communion of reformed churches.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the diocese of clcot is a member of the world communion of reformed churches', 'the diocese of clcot is a member of the world communion of reformed churches', 'the diocese of clcot is a member of the world communion of reformed churches', 'the diocese of clcot is a member of the world communion of reform churches', 'the diocese of clcot is a member of the world communion of reformed churches']
|
|
[
"five other stations signed on over the next decade",
"five other stations signed on over the next decade",
"five other stations signed on over the next decade",
"five other stations signed on over the next decade",
"five other stations signed on over the next decade"
] |
five other stations signed on over the next decade
|
five other stations signed on over the next decade.
|
five other stations signed on over the next decade. five other stations signed on over the next decade. five other stations signed on over the next decade. five other stations signed on over the next decade.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['five other stations signed on over the next decade', 'five other stations signed on over the next decade', 'five other stations signed on over the next decade', 'five other stations signed on over the next decade', 'five other stations signed on over the next decade']
|
|
[
"the river was used to transport limber to sawmills downstream",
"the river was used to transport limber to sawmails downstream",
"the river was used to transport limber to saw mills downstream",
"the river was used to transport lumber to sawmills downstream",
"the river was used to transport lumber to saw mills downstream"
] |
the river was used to transport lumber to sawmills downstream
|
the river was used to transport limber to sawmills downstream.
|
the river was used to transport limber to sawmails downstream. the river was used to transport limber to saw mills downstream. the river was used to transport lumber to sawmills downstream. the river was used to transport lumber to saw mills downstream.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the river was used to transport limber to sawmills downstream', 'the river was used to transport limber to sawmails downstream', 'the river was used to transport limber to saw mills downstream', 'the river was used to transport lumber to sawmills downstream', 'the river was used to transport lumber to saw mills downstream']
|
|
[
"three poems the middle of their three children",
"three poems in the middle of their three children",
"three poems the middle of their three children",
"did he pose the middle of their three children",
"philippe owns the middle of their three children"
] |
filippo was the middle of their three children
|
three poems the middle of their three children.
|
three poems in the middle of their three children. three poems the middle of their three children. did he pose the middle of their three children. philippe owns the middle of their three children.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three poems the middle of their three children', 'three poems in the middle of their three children', 'three poems the middle of their three children', 'did he pose the middle of their three children', 'philippe owns the middle of their three children']
|
|
[
"rockstar is based in las vegas nevada",
"rockstar is based in las vegas nevada",
"rockstar is based in las vegas nevada",
"rockstar is based in las vegas nevada",
"rockstar is based in las vegas nevada"
] |
rockstar is based in las vegas nevada
|
rockstar is based in las vegas nevada.
|
rockstar is based in las vegas nevada. rockstar is based in las vegas nevada. rockstar is based in las vegas nevada. rockstar is based in las vegas nevada.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rockstar is based in las vegas nevada', 'rockstar is based in las vegas nevada', 'rockstar is based in las vegas nevada', 'rockstar is based in las vegas nevada', 'rockstar is based in las vegas nevada']
|
|
[
"wohne falten kade her mother",
"wonefalten kadehormoder",
"vonefalten kadehormoder",
"wonefalten kadehormoder",
"woneverton kadehormoder"
] |
verna felton played her mother
|
wohne falten kade her mother.
|
wonefalten kadehormoder. vonefalten kadehormoder. wonefalten kadehormoder. woneverton kadehormoder.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['wohne falten kade her mother', 'wonefalten kadehormoder', 'vonefalten kadehormoder', 'wonefalten kadehormoder', 'woneverton kadehormoder']
|
|
[
"however the data had been collected autonomously",
"however the dart had been collected autonomously",
"however the data had been collected antonimously",
"however the dart had been collected antonimously",
"however the data had been collected autonomously"
] |
however the data had been collected antonymously
|
however the data had been collected autonomously.
|
however the dart had been collected autonomously. however the data had been collected antonimously. however the dart had been collected antonimously. however the data had been collected autonomously.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the data had been collected autonomously', 'however the dart had been collected autonomously', 'however the data had been collected antonimously', 'however the dart had been collected antonimously', 'however the data had been collected autonomously']
|
|
[
"oddly chose the barren hair fland of bloorhuff to set up an ambush",
"oddly chose the barren half land of bloorhurth to set up an ambush",
"oddly chose the barren half land of bloorhuff to set up an ambush",
"oddly chose the barren halfland of bloorhurth to set up an ambush",
"oddly chose the barren halfland of bloorhuff to set up an ambush"
] |
audley chose the barren heathland of blore heath to set up an ambush
|
oddly chose the barren hair fland of bloorhuff to set up an ambush.
|
oddly chose the barren half land of bloorhurth to set up an ambush. oddly chose the barren half land of bloorhuff to set up an ambush. oddly chose the barren halfland of bloorhurth to set up an ambush. oddly chose the barren halfland of bloorhuff to set up an ambush.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['oddly chose the barren hair fland of bloorhuff to set up an ambush', 'oddly chose the barren half land of bloorhurth to set up an ambush', 'oddly chose the barren half land of bloorhuff to set up an ambush', 'oddly chose the barren halfland of bloorhurth to set up an ambush', 'oddly chose the barren halfland of bloorhuff to set up an ambush']
|
|
[
"brody got mad and gave them just as good as he got",
"brody got mad and gave them just as good as he got",
"brodie got mad and gave them just as good as he got",
"brodie got mad and gave them just as good as he got",
"brodie got mad and gave them just as good as he got"
] |
brodie got mad and gave them just as good as he got
|
brody got mad and gave them just as good as he got.
|
brody got mad and gave them just as good as he got. brodie got mad and gave them just as good as he got. brodie got mad and gave them just as good as he got. brodie got mad and gave them just as good as he got.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['brody got mad and gave them just as good as he got', 'brody got mad and gave them just as good as he got', 'brodie got mad and gave them just as good as he got', 'brodie got mad and gave them just as good as he got', 'brodie got mad and gave them just as good as he got']
|
|
[
"the chan paton factors have become a special case of a more general concept",
"the chan peton factors have become a special case of a more general concept",
"the chan patan factors have become a special case of a more general concept",
"the chan beton factors have become a special case of a more general concept",
"the chan paton factors have become a special case of a more general concept"
] |
the chan paton factors have become a special case of a more general concept
|
the chan paton factors have become a special case of a more general concept.
|
the chan peton factors have become a special case of a more general concept. the chan patan factors have become a special case of a more general concept. the chan beton factors have become a special case of a more general concept. the chan paton factors have become a special case of a more general concept.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the chan paton factors have become a special case of a more general concept', 'the chan peton factors have become a special case of a more general concept', 'the chan patan factors have become a special case of a more general concept', 'the chan beton factors have become a special case of a more general concept', 'the chan paton factors have become a special case of a more general concept']
|
|
[
"likewise any damage to cells is constantly repaired",
"likewise any damage to cells is constantly repaired",
"likewise any damage to cells is constantly repaired",
"likewise any damage to cells is constantly repaired",
"likewise any damage to cells is constantly repaired"
] |
likewise any damage to cells is constantly repaired
|
likewise any damage to cells is constantly repaired.
|
likewise any damage to cells is constantly repaired. likewise any damage to cells is constantly repaired. likewise any damage to cells is constantly repaired. likewise any damage to cells is constantly repaired.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['likewise any damage to cells is constantly repaired', 'likewise any damage to cells is constantly repaired', 'likewise any damage to cells is constantly repaired', 'likewise any damage to cells is constantly repaired', 'likewise any damage to cells is constantly repaired']
|
|
[
"baba grzyskowski was an extremely active in the adkar israel of america organization",
"baba grzyskowski was an extremely active in the ad car israel of america organization",
"baba grzyskowski was an extremely active in the utcar israel of america organization",
"baba grzyskowski was an extremely active in the odd car israel of america organization",
"baba grzyskowski was an extremely active in the adkar israel of america organization"
] |
rabbi grozovsky was extremely active in the agudath israel of america organization
|
baba grzyskowski was an extremely active in the adkar israel of america organization.
|
baba grzyskowski was an extremely active in the ad car israel of america organization. baba grzyskowski was an extremely active in the utcar israel of america organization. baba grzyskowski was an extremely active in the odd car israel of america organization. baba grzyskowski was an extremely active in the adkar israel of america organization.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['baba grzyskowski was an extremely active in the adkar israel of america organization', 'baba grzyskowski was an extremely active in the ad car israel of america organization', 'baba grzyskowski was an extremely active in the utcar israel of america organization', 'baba grzyskowski was an extremely active in the odd car israel of america organization', 'baba grzyskowski was an extremely active in the adkar israel of america organization']
|
|
[
"if that is not mass metal i do not know what is",
"if that is not mesmeral i do not know what is",
"if that is not most metal i do not know what is",
"if that is not my smell i do not know what is",
"if that is not much metal i do not know what is"
] |
if that is not mass murder i do not know what is
|
if that is not mass metal i do not know what is.
|
if that is not mesmeral i do not know what is. if that is not most metal i do not know what is. if that is not my smell i do not know what is. if that is not much metal i do not know what is.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if that is not mass metal i do not know what is', 'if that is not mesmeral i do not know what is', 'if that is not most metal i do not know what is', 'if that is not my smell i do not know what is', 'if that is not much metal i do not know what is']
|
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