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
|
|---|---|---|---|---|---|---|---|---|
[
"despite the lack of wins for over a decade schmitt continues to compete",
"despite the lack of wins for over a decade schmidt continues to compete",
"despite the lack of winds for over a decade schmitt continues to compete",
"despite the lack of winds for over a decade schmidt continues to compete",
"despite the lack of wins for over a decade schmidt continues to compete"
] |
despite the lack of wins for over a decade schmitt continues to compete
|
despite the lack of wins for over a decade schmitt continues to compete.
|
despite the lack of wins for over a decade schmidt continues to compete. despite the lack of winds for over a decade schmitt continues to compete. despite the lack of winds for over a decade schmidt continues to compete. despite the lack of wins for over a decade schmidt continues to compete.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['despite the lack of wins for over a decade schmitt continues to compete', 'despite the lack of wins for over a decade schmidt continues to compete', 'despite the lack of winds for over a decade schmitt continues to compete', 'despite the lack of winds for over a decade schmidt continues to compete', 'despite the lack of wins for over a decade schmidt continues to compete']
|
|
[
"it is the city of saints",
"it is the city of saints",
"it is the city of things",
"it is the city of saints",
"it is the city of saints"
] |
it is city of saints
|
it is the city of saints.
|
it is the city of saints. it is the city of things. it is the city of saints. it is the city of saints.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is the city of saints', 'it is the city of saints', 'it is the city of things', 'it is the city of saints', 'it is the city of saints']
|
|
[
"he also began to publish articles in learned journals",
"he also began to publish articles in learned journals",
"he also began to publish articles in learned journals",
"he also began to publish articles in learned journals",
"he also began to publish articles in learned journals"
] |
he also began to publish articles in learned journals
|
he also began to publish articles in learned journals.
|
he also began to publish articles in learned journals. he also began to publish articles in learned journals. he also began to publish articles in learned journals. he also began to publish articles in learned journals.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also began to publish articles in learned journals', 'he also began to publish articles in learned journals', 'he also began to publish articles in learned journals', 'he also began to publish articles in learned journals', 'he also began to publish articles in learned journals']
|
|
[
"in western europe professional associations often carry out the functions of a trade union",
"in western europe professional associations often carry out the functions of the trade union",
"in western europe professional associations often carry out the functions of a trade union",
"in western europe professional associations often carry out the functions of a trade union",
"in western europe professional associations often carry out the functions of the trade union"
] |
in western europe professional associations often carry out the functions of a trade union
|
in western europe professional associations often carry out the functions of a trade union.
|
in western europe professional associations often carry out the functions of the trade union. in western europe professional associations often carry out the functions of a trade union. in western europe professional associations often carry out the functions of a trade union. in western europe professional associations often carry out the functions of the trade union.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in western europe professional associations often carry out the functions of a trade union', 'in western europe professional associations often carry out the functions of the trade union', 'in western europe professional associations often carry out the functions of a trade union', 'in western europe professional associations often carry out the functions of a trade union', 'in western europe professional associations often carry out the functions of the trade union']
|
|
[
"a man in a gray t shirt a top and ladder reaching out to another man inside the building is window",
"a man in a gray t shirt a top and ladder reaching out to another man inside the building is window",
"a man in a gray t shirt a top and ladder reaching out to another man inside the building is window",
"a man in a gray t shirt a top and ladder reaching out to another man inside the building is window",
"a man in a gray t shirt a top and ladder reaching out to another man inside the building is window"
] |
a man in a gray tshirt atop a ladder reaching out to another man inside the buildings window
|
a man in a gray t shirt a top and ladder reaching out to another man inside the building is window.
|
a man in a gray t shirt a top and ladder reaching out to another man inside the building is window. a man in a gray t shirt a top and ladder reaching out to another man inside the building is window. a man in a gray t shirt a top and ladder reaching out to another man inside the building is window. a man in a gray t shirt a top and ladder reaching out to another man inside the building is window.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man in a gray t shirt a top and ladder reaching out to another man inside the building is window', 'a man in a gray t shirt a top and ladder reaching out to another man inside the building is window', 'a man in a gray t shirt a top and ladder reaching out to another man inside the building is window', 'a man in a gray t shirt a top and ladder reaching out to another man inside the building is window', 'a man in a gray t shirt a top and ladder reaching out to another man inside the building is window']
|
|
[
"she wears which colors and vibrant patterns which complement her some shape",
"she wears which colors and vibrant patterns which complement her some shape",
"she wears which colors and vibrant patterns which compliment her some shape",
"she wears which colors in vibrant patterns which complement her some shape",
"she wears which colors and vibrant patterns which complement her simshape"
] |
she wears rich colors and vibrant patterns which compliment her slim shape
|
she wears which colors and vibrant patterns which complement her some shape.
|
she wears which colors and vibrant patterns which complement her some shape. she wears which colors and vibrant patterns which compliment her some shape. she wears which colors in vibrant patterns which complement her some shape. she wears which colors and vibrant patterns which complement her simshape.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she wears which colors and vibrant patterns which complement her some shape', 'she wears which colors and vibrant patterns which complement her some shape', 'she wears which colors and vibrant patterns which compliment her some shape', 'she wears which colors in vibrant patterns which complement her some shape', 'she wears which colors and vibrant patterns which complement her simshape']
|
|
[
"however there are some exemptions",
"however there are some exemptions",
"however there are some exemptions",
"however there are some exemptions",
"however there are some exemptions"
] |
however there are some exemptions
|
however there are some exemptions.
|
however there are some exemptions. however there are some exemptions. however there are some exemptions. however there are some exemptions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however there are some exemptions', 'however there are some exemptions', 'however there are some exemptions', 'however there are some exemptions', 'however there are some exemptions']
|
|
[
"also located on the grounds was a street car barn",
"also located on the grounds was a street car barn",
"also located on the grounds was a street car barn",
"also located on the grounds was a street car barn",
"also located on the grounds was a street car barn"
] |
also located on the grounds was a streetcar barn
|
also located on the grounds was a street car barn.
|
also located on the grounds was a street car barn. also located on the grounds was a street car barn. also located on the grounds was a street car barn. also located on the grounds was a street car barn.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['also located on the grounds was a street car barn', 'also located on the grounds was a street car barn', 'also located on the grounds was a street car barn', 'also located on the grounds was a street car barn', 'also located on the grounds was a street car barn']
|
|
[
"his father was anand kumar nero a member of the nero county family",
"his father was anand kumar nero a member of the nero family",
"his father was anand kumar nero a member of the nero county family",
"his father was anand kumar nehru a member of the nehru family",
"his father was anand kumar nero a member of the nero gandhi family"
] |
his father was anand kumar nehru a member of the nehru gandhi family
|
his father was anand kumar nero a member of the nero county family.
|
his father was anand kumar nero a member of the nero family. his father was anand kumar nero a member of the nero county family. his father was anand kumar nehru a member of the nehru family. his father was anand kumar nero a member of the nero gandhi family.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his father was anand kumar nero a member of the nero county family', 'his father was anand kumar nero a member of the nero family', 'his father was anand kumar nero a member of the nero county family', 'his father was anand kumar nehru a member of the nehru family', 'his father was anand kumar nero a member of the nero gandhi family']
|
|
[
"twice more part baker made headlines",
"twice more part baker made headlines",
"twice more part baker made headlines",
"twice more part baker made headlines",
"twice more part baker made headlines"
] |
twice more part baker made headlines
|
twice more part baker made headlines.
|
twice more part baker made headlines. twice more part baker made headlines. twice more part baker made headlines. twice more part baker made headlines.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['twice more part baker made headlines', 'twice more part baker made headlines', 'twice more part baker made headlines', 'twice more part baker made headlines', 'twice more part baker made headlines']
|
|
[
"only the oscar class remains in service",
"only the oscar class remains in service",
"only the osca class remains in service",
"only the oscar class remains in service",
"only the oscar class remains in service"
] |
only the oscar class remains in service
|
only the oscar class remains in service.
|
only the oscar class remains in service. only the osca class remains in service. only the oscar class remains in service. only the oscar class remains in service.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['only the oscar class remains in service', 'only the oscar class remains in service', 'only the osca class remains in service', 'only the oscar class remains in service', 'only the oscar class remains in service']
|
|
[
"it attempted to create jobs in the gray depression through extensive vote construction",
"it attempted to create jobs in the great depression through extensive vote construction",
"it attempted to create jobs in the great depression through extensive vote construction",
"it attempted to create jobs in the grayed depression through extensive vote construction",
"it attempted to create jobs in the bridge depression through extensive vote construction"
] |
it attempted to create jobs in the great depression through extensive road construction
|
it attempted to create jobs in the gray depression through extensive vote construction.
|
it attempted to create jobs in the great depression through extensive vote construction. it attempted to create jobs in the great depression through extensive vote construction. it attempted to create jobs in the grayed depression through extensive vote construction. it attempted to create jobs in the bridge depression through extensive vote construction.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it attempted to create jobs in the gray depression through extensive vote construction', 'it attempted to create jobs in the great depression through extensive vote construction', 'it attempted to create jobs in the great depression through extensive vote construction', 'it attempted to create jobs in the grayed depression through extensive vote construction', 'it attempted to create jobs in the bridge depression through extensive vote construction']
|
|
[
"chalk is eroded from the cliffs but not much end up on the beach",
"chalk is eroded from the cliffs but not much end up on the beach",
"chalk is eroded from the cliffs but not much ends up on the beach",
"chalk is eroded from the cliffs but not much end up on the beach",
"chalk is eroded from the cliffs but not much end up on the beach"
] |
chalk is eroded from the cliffs but not much ends up on the beach
|
chalk is eroded from the cliffs but not much end up on the beach.
|
chalk is eroded from the cliffs but not much end up on the beach. chalk is eroded from the cliffs but not much ends up on the beach. chalk is eroded from the cliffs but not much end up on the beach. chalk is eroded from the cliffs but not much end up on the beach.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['chalk is eroded from the cliffs but not much end up on the beach', 'chalk is eroded from the cliffs but not much end up on the beach', 'chalk is eroded from the cliffs but not much ends up on the beach', 'chalk is eroded from the cliffs but not much end up on the beach', 'chalk is eroded from the cliffs but not much end up on the beach']
|
|
[
"when we see another person suffering it can also cause a pain",
"when we see another person suffering it can also cause a spain",
"when we see another person suffering it can also cause a spane",
"when we see another person suffering he can also cause a spain",
"when we see another person suffering he can also cause a spane"
] |
when we see another person suffering it can also cause us pain
|
when we see another person suffering it can also cause a pain.
|
when we see another person suffering it can also cause a spain. when we see another person suffering it can also cause a spane. when we see another person suffering he can also cause a spain. when we see another person suffering he can also cause a spane.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['when we see another person suffering it can also cause a pain', 'when we see another person suffering it can also cause a spain', 'when we see another person suffering it can also cause a spane', 'when we see another person suffering he can also cause a spain', 'when we see another person suffering he can also cause a spane']
|
|
[
"in their contacts the leader of the well hunt is the goddess hakate",
"in their contacts the leader of the well hunt is the goddess hakeite",
"in their contacts the leader of the well hunt is the goddess hakaite",
"in their contacts the leader of the well hunt is the goddess hakeet",
"in their contacts the leader of the well hunt is the goddess hakeit"
] |
in their context the leader of the wild hunt is the goddess hecate
|
in their contacts the leader of the well hunt is the goddess hakate.
|
in their contacts the leader of the well hunt is the goddess hakeite. in their contacts the leader of the well hunt is the goddess hakaite. in their contacts the leader of the well hunt is the goddess hakeet. in their contacts the leader of the well hunt is the goddess hakeit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in their contacts the leader of the well hunt is the goddess hakate', 'in their contacts the leader of the well hunt is the goddess hakeite', 'in their contacts the leader of the well hunt is the goddess hakaite', 'in their contacts the leader of the well hunt is the goddess hakeet', 'in their contacts the leader of the well hunt is the goddess hakeit']
|
|
[
"associated sub brands include ebb and flow elevation and kids collection",
"associated sub brands include ebbened flow elevation and kids collection",
"associated sub brands include ebbened flow elevation and kids collection",
"associated sub brands include ebb and flow elevation and kids collection",
"associated sub brands include ebboned flow elevation and kids collection"
] |
associated sub brands include ebb and flow elevation and kids collection
|
associated sub brands include ebb and flow elevation and kids collection.
|
associated sub brands include ebbened flow elevation and kids collection. associated sub brands include ebbened flow elevation and kids collection. associated sub brands include ebb and flow elevation and kids collection. associated sub brands include ebboned flow elevation and kids collection.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['associated sub brands include ebb and flow elevation and kids collection', 'associated sub brands include ebbened flow elevation and kids collection', 'associated sub brands include ebbened flow elevation and kids collection', 'associated sub brands include ebb and flow elevation and kids collection', 'associated sub brands include ebboned flow elevation and kids collection']
|
|
[
"she was only three weeks old",
"she was only three weeks old",
"shows only three weeks old",
"shows only three weeks old",
"shoes only three weeks old"
] |
she was only three weeks old
|
she was only three weeks old.
|
she was only three weeks old. shows only three weeks old. shows only three weeks old. shoes only three weeks old.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she was only three weeks old', 'she was only three weeks old', 'shows only three weeks old', 'shows only three weeks old', 'shoes only three weeks old']
|
|
[
"the acoustics of the church is very good and the concerts are held quite often",
"the cool sticks of the church is very good and the concerts are held quite often",
"the cool sticks of the church is very good and the concerts are held quite often",
"the cool tricks of the church is very good and the concerts are held quite often",
"the cool tricks of the church is very good and the concerts are held quite often"
] |
the acoustics of the church is very good and concerts are held quite often
|
the acoustics of the church is very good and the concerts are held quite often.
|
the cool sticks of the church is very good and the concerts are held quite often. the cool sticks of the church is very good and the concerts are held quite often. the cool tricks of the church is very good and the concerts are held quite often. the cool tricks of the church is very good and the concerts are held quite often.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the acoustics of the church is very good and the concerts are held quite often', 'the cool sticks of the church is very good and the concerts are held quite often', 'the cool sticks of the church is very good and the concerts are held quite often', 'the cool tricks of the church is very good and the concerts are held quite often', 'the cool tricks of the church is very good and the concerts are held quite often']
|
|
[
"warik goes also sensitive to the difficulties of minorities",
"warwick goes also sensitive to the difficulties of minorities",
"waric goes also sensitive to the difficulties of minorities",
"warik goes also sensitive to the difficulties of minorities",
"warwick goes also sensitive to the difficulties of minorities"
] |
warrick was also sensitive to the difficulties of minorities
|
warik goes also sensitive to the difficulties of minorities.
|
warwick goes also sensitive to the difficulties of minorities. waric goes also sensitive to the difficulties of minorities. warik goes also sensitive to the difficulties of minorities. warwick goes also sensitive to the difficulties of minorities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['warik goes also sensitive to the difficulties of minorities', 'warwick goes also sensitive to the difficulties of minorities', 'waric goes also sensitive to the difficulties of minorities', 'warik goes also sensitive to the difficulties of minorities', 'warwick goes also sensitive to the difficulties of minorities']
|
|
[
"rensberg is foundation day is not there",
"rentsburg is foundation day is not there",
"rensberg is foundation date is a no",
"rentsburg is foundation date is a no",
"rensberg is foundation date is a no"
] |
rendsburg is foundation date is unknown
|
rensberg is foundation day is not there.
|
rentsburg is foundation day is not there. rensberg is foundation date is a no. rentsburg is foundation date is a no. rensberg is foundation date is a no.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['rensberg is foundation day is not there', 'rentsburg is foundation day is not there', 'rensberg is foundation date is a no', 'rentsburg is foundation date is a no', 'rensberg is foundation date is a no']
|
|
[
"the town of dumas is served by the self typour school district",
"the town of dumas is served by the south tipper school district",
"the town of dumas is served by the self typing school district",
"the town of dumas is served by the south type of school district",
"the town of dumas is served by the self typour school district"
] |
the town of dumas is served by the south tippah school district
|
the town of dumas is served by the self typour school district.
|
the town of dumas is served by the south tipper school district. the town of dumas is served by the self typing school district. the town of dumas is served by the south type of school district. the town of dumas is served by the self typour school district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the town of dumas is served by the self typour school district', 'the town of dumas is served by the south tipper school district', 'the town of dumas is served by the self typing school district', 'the town of dumas is served by the south type of school district', 'the town of dumas is served by the self typour school district']
|
|
[
"he was buried in the charles evans cemetery in reading",
"he was buried in the charles evans cemetery in reading",
"he was buried in the charles evans cemetery in reading",
"he was buried in the charles evans cemetery in reading",
"he was buried in the charles evans cemetery in reading"
] |
he was buried in the charles evans cemetery in reading
|
he was buried in the charles evans cemetery in reading.
|
he was buried in the charles evans cemetery in reading. he was buried in the charles evans cemetery in reading. he was buried in the charles evans cemetery in reading. he was buried in the charles evans cemetery in reading.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was buried in the charles evans cemetery in reading', 'he was buried in the charles evans cemetery in reading', 'he was buried in the charles evans cemetery in reading', 'he was buried in the charles evans cemetery in reading', 'he was buried in the charles evans cemetery in reading']
|
|
[
"his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors",
"his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors",
"his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestries",
"his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestry",
"his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors"
] |
his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestries
|
his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors.
|
his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors. his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestries. his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestry. his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors', 'his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors', 'his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestries', 'his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestry', 'his ethnic background is diverse with hawaiian norwegian english scottish and portuguese ancestors']
|
|
[
"locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar",
"locally issued coinages included the kelantan and the krenganu kepping and the penang dollar",
"locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar",
"locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar",
"locally issued coinages include the kelantan and the krenganu kebbing and the penang dollar"
] |
locally issued coinages included the kelantan and trengganu keping and the penang dollar
|
locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar.
|
locally issued coinages included the kelantan and the krenganu kepping and the penang dollar. locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar. locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar. locally issued coinages include the kelantan and the krenganu kebbing and the penang dollar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar', 'locally issued coinages included the kelantan and the krenganu kepping and the penang dollar', 'locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar', 'locally issued coinages included the kelantan and the krenganu kebbing and the penang dollar', 'locally issued coinages include the kelantan and the krenganu kebbing and the penang dollar']
|
|
[
"leda itriv stands to the chairman consultants windows anti police arrived in trucks",
"leda itriv stones to the german consultants windows anti police arrived in trucks",
"leda itriv stones to the chairman consultants windows anti police arrived in trucks",
"leda itriv stones to the german consultants windows anti polis arrived in trucks",
"leda itriv stands to the chairman consultants windows anti polis arrived in trucks"
] |
later it threw stones to the german consulate is windows until police arrived in trucks
|
leda itriv stands to the chairman consultants windows anti police arrived in trucks.
|
leda itriv stones to the german consultants windows anti police arrived in trucks. leda itriv stones to the chairman consultants windows anti police arrived in trucks. leda itriv stones to the german consultants windows anti polis arrived in trucks. leda itriv stands to the chairman consultants windows anti polis arrived in trucks.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['leda itriv stands to the chairman consultants windows anti police arrived in trucks', 'leda itriv stones to the german consultants windows anti police arrived in trucks', 'leda itriv stones to the chairman consultants windows anti police arrived in trucks', 'leda itriv stones to the german consultants windows anti polis arrived in trucks', 'leda itriv stands to the chairman consultants windows anti polis arrived in trucks']
|
|
[
"killin whales have been reported to hunt police shots",
"kilowales have been reported to hunt police shots",
"killer whales have been reported to hunt police shots",
"kill and wales have been reported to hunt police shots",
"kilowales have been reported to high police officers"
] |
killer whales have been reported to hunt blue sharks
|
killin whales have been reported to hunt police shots.
|
kilowales have been reported to hunt police shots. killer whales have been reported to hunt police shots. kill and wales have been reported to hunt police shots. kilowales have been reported to high police officers.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['killin whales have been reported to hunt police shots', 'kilowales have been reported to hunt police shots', 'killer whales have been reported to hunt police shots', 'kill and wales have been reported to hunt police shots', 'kilowales have been reported to high police officers']
|
|
[
"a bay on the south side of the island is known as mikkelsen harbor",
"a bay on the south side of the island is known as michelson harbor",
"a bay on the south side of the island is known as mikkelson harbor",
"a bay on the south side of the island is known as mikkelsen harbor",
"a bay on the south side of the island is known as mikkelson harbor"
] |
a bay on the south side of the island is known as mikkelsen harbor
|
a bay on the south side of the island is known as mikkelsen harbor.
|
a bay on the south side of the island is known as michelson harbor. a bay on the south side of the island is known as mikkelson harbor. a bay on the south side of the island is known as mikkelsen harbor. a bay on the south side of the island is known as mikkelson harbor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a bay on the south side of the island is known as mikkelsen harbor', 'a bay on the south side of the island is known as michelson harbor', 'a bay on the south side of the island is known as mikkelson harbor', 'a bay on the south side of the island is known as mikkelsen harbor', 'a bay on the south side of the island is known as mikkelson harbor']
|
|
[
"the council meets on the twond and fourth tuesday of each month",
"the council meets on the second and fourth tuesday of each month",
"the council meets on the twond and fourth tuesday of each month",
"the council meets on the second and fourth tuesday of each month",
"the council meets on the second and fourth tuesday of each month"
] |
the council meets on the second and fourth tuesday of each month
|
the council meets on the twond and fourth tuesday of each month.
|
the council meets on the second and fourth tuesday of each month. the council meets on the twond and fourth tuesday of each month. the council meets on the second and fourth tuesday of each month. the council meets on the second and fourth tuesday of each month.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the council meets on the twond and fourth tuesday of each month', 'the council meets on the second and fourth tuesday of each month', 'the council meets on the twond and fourth tuesday of each month', 'the council meets on the second and fourth tuesday of each month', 'the council meets on the second and fourth tuesday of each month']
|
|
[
"a stuffy joist is also a related piece",
"most of it joist is also a related piece",
"most of it joist is also a related piece",
"most of it juiced is also a related piece",
"the stuff with joist is also a related piece"
] |
a soffit joist is also a related piece
|
a stuffy joist is also a related piece.
|
most of it joist is also a related piece. most of it joist is also a related piece. most of it juiced is also a related piece. the stuff with joist is also a related piece.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a stuffy joist is also a related piece', 'most of it joist is also a related piece', 'most of it joist is also a related piece', 'most of it juiced is also a related piece', 'the stuff with joist is also a related piece']
|
|
[
"both are located in the same building and old cinema in saint petersburg",
"both are located in the same building and old cinema in saint petersburg",
"both are located in the same building and old cinema in saint petersburg",
"both are located in the same building and old cinema and in saint petersburg",
"both are located in the same building and old cinema in saint petersburg"
] |
both are located in the same building an old cinema in saint petersburg
|
both are located in the same building and old cinema in saint petersburg.
|
both are located in the same building and old cinema in saint petersburg. both are located in the same building and old cinema in saint petersburg. both are located in the same building and old cinema and in saint petersburg. both are located in the same building and old cinema in saint petersburg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both are located in the same building and old cinema in saint petersburg', 'both are located in the same building and old cinema in saint petersburg', 'both are located in the same building and old cinema in saint petersburg', 'both are located in the same building and old cinema and in saint petersburg', 'both are located in the same building and old cinema in saint petersburg']
|
|
[
"another striking rookie man was the master",
"another striking lucky man was the master",
"another striking looking man was the master",
"another striking looky man was the master",
"another striking look you man was the master"
] |
another striking looking man was the master
|
another striking rookie man was the master.
|
another striking lucky man was the master. another striking looking man was the master. another striking looky man was the master. another striking look you man was the master.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['another striking rookie man was the master', 'another striking lucky man was the master', 'another striking looking man was the master', 'another striking looky man was the master', 'another striking look you man was the master']
|
|
[
"it was enough for her to feel",
"it was enough for her to feel",
"it was enough for her to feel",
"it was enough for her to feel",
"it was enough for her to feel"
] |
it was enough for her to feel
|
it was enough for her to feel.
|
it was enough for her to feel. it was enough for her to feel. it was enough for her to feel. it was enough for her to feel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was enough for her to feel', 'it was enough for her to feel', 'it was enough for her to feel', 'it was enough for her to feel', 'it was enough for her to feel']
|
|
[
"however polino is usually or significantly lighter than a red done and have blue eyes",
"however polino is usually or significantly lighter than a red done and has blue eyes",
"however polino is usually or significantly lighter than a red done and have blue eyes",
"however polino is usually or significantly lighter than a red done and have blue eyes",
"however polinoes usually are significantly lighter than a red done and have blue eyes"
] |
however perlinos usually are significantly lighter than a red dun and have blue eyes
|
however polino is usually or significantly lighter than a red done and have blue eyes.
|
however polino is usually or significantly lighter than a red done and has blue eyes. however polino is usually or significantly lighter than a red done and have blue eyes. however polino is usually or significantly lighter than a red done and have blue eyes. however polinoes usually are significantly lighter than a red done and have blue eyes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however polino is usually or significantly lighter than a red done and have blue eyes', 'however polino is usually or significantly lighter than a red done and has blue eyes', 'however polino is usually or significantly lighter than a red done and have blue eyes', 'however polino is usually or significantly lighter than a red done and have blue eyes', 'however polinoes usually are significantly lighter than a red done and have blue eyes']
|
|
[
"kazimar big mosque is the oldest islamic place of worship in the city",
"kazimar bikmoski is the oldest islamic place of worship in the city",
"kazimar bikmosky is the oldest islamic place of worship in the city",
"kazimar big mosque is the oldest islamic place of worship in the city",
"kazimar bikmos is the oldest islamic place of worship in the city"
] |
kazimar big mosque is the oldest islamic place of worship in the city
|
kazimar big mosque is the oldest islamic place of worship in the city.
|
kazimar bikmoski is the oldest islamic place of worship in the city. kazimar bikmosky is the oldest islamic place of worship in the city. kazimar big mosque is the oldest islamic place of worship in the city. kazimar bikmos is the oldest islamic place of worship in the city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kazimar big mosque is the oldest islamic place of worship in the city', 'kazimar bikmoski is the oldest islamic place of worship in the city', 'kazimar bikmosky is the oldest islamic place of worship in the city', 'kazimar big mosque is the oldest islamic place of worship in the city', 'kazimar bikmos is the oldest islamic place of worship in the city']
|
|
[
"there are several conditions of readiness in which such a weapon can be carried",
"there are several conditions of readiness in which such a weapon can be carried",
"there are several conditions of readiness in which such a weapon can be carried",
"there are several conditions of readiness in which such a weapon can be carried",
"there are several conditions of readiness in which such a weapon can be carried"
] |
there are several conditions of readiness in which such a weapon can be carried
|
there are several conditions of readiness in which such a weapon can be carried.
|
there are several conditions of readiness in which such a weapon can be carried. there are several conditions of readiness in which such a weapon can be carried. there are several conditions of readiness in which such a weapon can be carried. there are several conditions of readiness in which such a weapon can be carried.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are several conditions of readiness in which such a weapon can be carried', 'there are several conditions of readiness in which such a weapon can be carried', 'there are several conditions of readiness in which such a weapon can be carried', 'there are several conditions of readiness in which such a weapon can be carried', 'there are several conditions of readiness in which such a weapon can be carried']
|
|
[
"the bothers of the website are two hundred and ten",
"the borders of the website are two hundred and ten",
"the bothers of the website are two hundred and ten",
"the bonus of the website are two hundred and ten",
"the barrage of the website are two hundred and ten"
] |
the borders of the website are too thin
|
the bothers of the website are two hundred and ten.
|
the borders of the website are two hundred and ten. the bothers of the website are two hundred and ten. the bonus of the website are two hundred and ten. the barrage of the website are two hundred and ten.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the bothers of the website are two hundred and ten', 'the borders of the website are two hundred and ten', 'the bothers of the website are two hundred and ten', 'the bonus of the website are two hundred and ten', 'the barrage of the website are two hundred and ten']
|
|
[
"however their machinations have begun to backfire already",
"however their machinations have begun to backfile already",
"however their machinations have begun to backfire already",
"however there are machinations how begun to backfire already",
"however there are machinations how began to backfire already"
] |
however their machinations have begun to backfire already
|
however their machinations have begun to backfire already.
|
however their machinations have begun to backfile already. however their machinations have begun to backfire already. however there are machinations how begun to backfire already. however there are machinations how began to backfire already.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however their machinations have begun to backfire already', 'however their machinations have begun to backfile already', 'however their machinations have begun to backfire already', 'however there are machinations how begun to backfire already', 'however there are machinations how began to backfire already']
|
|
[
"the onida creek is on the east town boundary",
"the oneda creek is on the east town boundary",
"the onida create is on the east town boundary",
"the onida crate is on the east town boundary",
"the onida creak is on the east town boundary"
] |
the oneida creek is on the east town boundary
|
the onida creek is on the east town boundary.
|
the oneda creek is on the east town boundary. the onida create is on the east town boundary. the onida crate is on the east town boundary. the onida creak is on the east town boundary.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the onida creek is on the east town boundary', 'the oneda creek is on the east town boundary', 'the onida create is on the east town boundary', 'the onida crate is on the east town boundary', 'the onida creak is on the east town boundary']
|
|
[
"pre treatment spontaneous tumor lysis syndrome",
"pre treatment spontaneous tumor lice is syndrome",
"pre treatment spontaneous tumor lysis syndrome",
"pre treatment spontaneous tumor lices syndrome",
"pre treatment spontaneous tumor lices syndrome"
] |
pretreatment spontaneous tumor lysis syndrome
|
pre treatment spontaneous tumor lysis syndrome.
|
pre treatment spontaneous tumor lice is syndrome. pre treatment spontaneous tumor lysis syndrome. pre treatment spontaneous tumor lices syndrome. pre treatment spontaneous tumor lices syndrome.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['pre treatment spontaneous tumor lysis syndrome', 'pre treatment spontaneous tumor lice is syndrome', 'pre treatment spontaneous tumor lysis syndrome', 'pre treatment spontaneous tumor lices syndrome', 'pre treatment spontaneous tumor lices syndrome']
|
|
[
"but you know the type",
"but you know the type",
"but you know the type",
"but you know the type",
"but you know the type"
] |
but you know the type
|
but you know the type.
|
but you know the type. but you know the type. but you know the type. but you know the type.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but you know the type', 'but you know the type', 'but you know the type', 'but you know the type', 'but you know the type']
|
|
[
"a man wearing a watch work cage is arranging soft pretzels",
"a man wearing a watch workout is arranging soft pretzels",
"a man wearing a watch replicate is arranging soft pretzels",
"a man wearing a watch working cage is arranging soft pretzels",
"a man wearing a watch work coat is arranging soft pretzels"
] |
a man wearing a white work coat is arranging soft pretzels
|
a man wearing a watch work cage is arranging soft pretzels.
|
a man wearing a watch workout is arranging soft pretzels. a man wearing a watch replicate is arranging soft pretzels. a man wearing a watch working cage is arranging soft pretzels. a man wearing a watch work coat is arranging soft pretzels.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a man wearing a watch work cage is arranging soft pretzels', 'a man wearing a watch workout is arranging soft pretzels', 'a man wearing a watch replicate is arranging soft pretzels', 'a man wearing a watch working cage is arranging soft pretzels', 'a man wearing a watch work coat is arranging soft pretzels']
|
|
[
"taking sick he asked for the leave to return to chile",
"taking sick he asks for the leave to return to chile",
"taking sick he asked for leave to return to chile",
"taking sik he asks for the leave to return to chile",
"taking sick he asked for leave to return to chile"
] |
taking sick he asked for leave to return to chile
|
taking sick he asked for the leave to return to chile.
|
taking sick he asks for the leave to return to chile. taking sick he asked for leave to return to chile. taking sik he asks for the leave to return to chile. taking sick he asked for leave to return to chile.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['taking sick he asked for the leave to return to chile', 'taking sick he asks for the leave to return to chile', 'taking sick he asked for leave to return to chile', 'taking sik he asks for the leave to return to chile', 'taking sick he asked for leave to return to chile']
|
|
[
"tension is adjusted by means of an eccentric bottom bracket",
"tension is adjusted by means of an eccentric bottom bracket",
"tensioning is adjusted by means of an eccentric bottom bracket",
"tensiony is adjusted by means of an eccentric bottom bracket",
"tension is adjusted by means of a centric bottom bracket"
] |
tension is adjusted by means of an eccentric bottom bracket
|
tension is adjusted by means of an eccentric bottom bracket.
|
tension is adjusted by means of an eccentric bottom bracket. tensioning is adjusted by means of an eccentric bottom bracket. tensiony is adjusted by means of an eccentric bottom bracket. tension is adjusted by means of a centric bottom bracket.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tension is adjusted by means of an eccentric bottom bracket', 'tension is adjusted by means of an eccentric bottom bracket', 'tensioning is adjusted by means of an eccentric bottom bracket', 'tensiony is adjusted by means of an eccentric bottom bracket', 'tension is adjusted by means of a centric bottom bracket']
|
|
[
"their operator has to be experienced in their use of optimal results",
"their operator has to be experienced in the use of optimal results",
"their operator has to be experienced in their use of optimal results",
"then operator has to be experienced in their use of optimal results",
"then operator has to be experienced in their use of optimal results"
] |
their operator has to be experienced in their use for optimal results
|
their operator has to be experienced in their use of optimal results.
|
their operator has to be experienced in the use of optimal results. their operator has to be experienced in their use of optimal results. then operator has to be experienced in their use of optimal results. then operator has to be experienced in their use of optimal results.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['their operator has to be experienced in their use of optimal results', 'their operator has to be experienced in the use of optimal results', 'their operator has to be experienced in their use of optimal results', 'then operator has to be experienced in their use of optimal results', 'then operator has to be experienced in their use of optimal results']
|
|
[
"since then it has on the go numerous format changes both in content and esthetic",
"since then it has on the goniometers format changes both in content and is the day",
"since then it has on the gonnometer is format changes both in content and is the day",
"since then it has undergone numerous format changes both in content and is the day",
"since then it has on the gone numerous format changes both in content and esthetic"
] |
since then it has undergone numerous format changes both in content and esthetic
|
since then it has on the go numerous format changes both in content and esthetic.
|
since then it has on the goniometers format changes both in content and is the day. since then it has on the gonnometer is format changes both in content and is the day. since then it has undergone numerous format changes both in content and is the day. since then it has on the gone numerous format changes both in content and esthetic.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['since then it has on the go numerous format changes both in content and esthetic', 'since then it has on the goniometers format changes both in content and is the day', 'since then it has on the gonnometer is format changes both in content and is the day', 'since then it has undergone numerous format changes both in content and is the day', 'since then it has on the gone numerous format changes both in content and esthetic']
|
|
[
"the first houses were designed and built in a modernistic way",
"the first houses were designed and built in a modern stick way",
"the first houses were designed and built in a modernistic way",
"the first houses were designed and built in a modern stick way",
"the first houses were designed and built in a modernistic way"
] |
the first houses were designed and built in a modernistic way
|
the first houses were designed and built in a modernistic way.
|
the first houses were designed and built in a modern stick way. the first houses were designed and built in a modernistic way. the first houses were designed and built in a modern stick way. the first houses were designed and built in a modernistic way.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the first houses were designed and built in a modernistic way', 'the first houses were designed and built in a modern stick way', 'the first houses were designed and built in a modernistic way', 'the first houses were designed and built in a modern stick way', 'the first houses were designed and built in a modernistic way']
|
|
[
"the township derives its name from the poem sweet aflon by robert burns",
"the township derives its name from the poem sweet aflon by robert burns",
"the township derives its name from the poem sweet afflon by robert burns",
"the township derives its name from the poem sweet afflon by robert burns",
"the township drives its name from the poem sweet aflon by robert burns"
] |
the township derives its name from the poem sweet afton by robert burns
|
the township derives its name from the poem sweet aflon by robert burns.
|
the township derives its name from the poem sweet aflon by robert burns. the township derives its name from the poem sweet afflon by robert burns. the township derives its name from the poem sweet afflon by robert burns. the township drives its name from the poem sweet aflon by robert burns.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the township derives its name from the poem sweet aflon by robert burns', 'the township derives its name from the poem sweet aflon by robert burns', 'the township derives its name from the poem sweet afflon by robert burns', 'the township derives its name from the poem sweet afflon by robert burns', 'the township drives its name from the poem sweet aflon by robert burns']
|
|
[
"vince kyler was born in utah and grew up in southern new jersey",
"vince kyloves born in utah and grew up in southern new jersey",
"vince kyler was born in utah and grew up in southern new jersey",
"vince kyloves is born in utah and grew up in southern new jersey",
"vince kyloff is born in utah and grew up in southern new jersey"
] |
van sciver was born in utah and grew up in southern new jersey
|
vince kyler was born in utah and grew up in southern new jersey.
|
vince kyloves born in utah and grew up in southern new jersey. vince kyler was born in utah and grew up in southern new jersey. vince kyloves is born in utah and grew up in southern new jersey. vince kyloff is born in utah and grew up in southern new jersey.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['vince kyler was born in utah and grew up in southern new jersey', 'vince kyloves born in utah and grew up in southern new jersey', 'vince kyler was born in utah and grew up in southern new jersey', 'vince kyloves is born in utah and grew up in southern new jersey', 'vince kyloff is born in utah and grew up in southern new jersey']
|
|
[
"helen lives and sits alone on a bench near a swing sit",
"helen lives and sits alone on a bench near a spring sit",
"helen leaves and sits alone on a bench near a swing sit",
"helen leaves and sits alert on a bench near a swing sit",
"helen lives and sits alone on a bench near a pink sit"
] |
helen leaves and sits alone on a bench near a swing set
|
helen lives and sits alone on a bench near a swing sit.
|
helen lives and sits alone on a bench near a spring sit. helen leaves and sits alone on a bench near a swing sit. helen leaves and sits alert on a bench near a swing sit. helen lives and sits alone on a bench near a pink sit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['helen lives and sits alone on a bench near a swing sit', 'helen lives and sits alone on a bench near a spring sit', 'helen leaves and sits alone on a bench near a swing sit', 'helen leaves and sits alert on a bench near a swing sit', 'helen lives and sits alone on a bench near a pink sit']
|
|
[
"it was the longest postseason run in the mav is eight year history",
"it was the longest postseason run in the mav is eight year history",
"it was the longest postseason run in the map is eight year history",
"it was the longest postseason run in the mav is eight year history",
"it was the longest postseason run in the mavs eight year history"
] |
it was the longest postseason run in the mavs eight year history
|
it was the longest postseason run in the mav is eight year history.
|
it was the longest postseason run in the mav is eight year history. it was the longest postseason run in the map is eight year history. it was the longest postseason run in the mav is eight year history. it was the longest postseason run in the mavs eight year history.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was the longest postseason run in the mav is eight year history', 'it was the longest postseason run in the mav is eight year history', 'it was the longest postseason run in the map is eight year history', 'it was the longest postseason run in the mav is eight year history', 'it was the longest postseason run in the mavs eight year history']
|
|
[
"any ash in which they are very abandoned is called an albumerate",
"any cache in which they are very abandoned is called an albumerate",
"any ash in which they are very abandoned is called an albumirate",
"any cache in which they are very abandoned is called an albumerate",
"any cache in which they are very abandoned is called an algumirate"
] |
any ash in which they are very abundant is called an agglomerate
|
any ash in which they are very abandoned is called an albumerate.
|
any cache in which they are very abandoned is called an albumerate. any ash in which they are very abandoned is called an albumirate. any cache in which they are very abandoned is called an albumerate. any cache in which they are very abandoned is called an algumirate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['any ash in which they are very abandoned is called an albumerate', 'any cache in which they are very abandoned is called an albumerate', 'any ash in which they are very abandoned is called an albumirate', 'any cache in which they are very abandoned is called an albumerate', 'any cache in which they are very abandoned is called an algumirate']
|
|
[
"we must break the circle violently and exit",
"we must break the circle violently and exit",
"we must break the circle violently and exit",
"we must break the circle violently and exit",
"we must break the circle violently and exit"
] |
we must break the circle violently and exit
|
we must break the circle violently and exit.
|
we must break the circle violently and exit. we must break the circle violently and exit. we must break the circle violently and exit. we must break the circle violently and exit.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we must break the circle violently and exit', 'we must break the circle violently and exit', 'we must break the circle violently and exit', 'we must break the circle violently and exit', 'we must break the circle violently and exit']
|
|
[
"grandalek is located just east of the city",
"grindelake is located just east of the city",
"grangolek is located just east of the city",
"grangolake is located just east of the city",
"grand lake is located just east of the city"
] |
granger lake is located just east of the city
|
grandalek is located just east of the city.
|
grindelake is located just east of the city. grangolek is located just east of the city. grangolake is located just east of the city. grand lake is located just east of the city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['grandalek is located just east of the city', 'grindelake is located just east of the city', 'grangolek is located just east of the city', 'grangolake is located just east of the city', 'grand lake is located just east of the city']
|
|
[
"a popular affirmation is that the village of witwick contains three cities",
"a popular affirmation is that the village of witwick contains three civils",
"a popular affirmation is that the village of witwick contains three civis",
"a popular affirmation is that the village of whitwick contains three cities",
"a popular affirmation is that the village of whitwick contains three civils"
] |
a popular affirmation is that the village of whitwick contains three cities
|
a popular affirmation is that the village of witwick contains three cities.
|
a popular affirmation is that the village of witwick contains three civils. a popular affirmation is that the village of witwick contains three civis. a popular affirmation is that the village of whitwick contains three cities. a popular affirmation is that the village of whitwick contains three civils.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a popular affirmation is that the village of witwick contains three cities', 'a popular affirmation is that the village of witwick contains three civils', 'a popular affirmation is that the village of witwick contains three civis', 'a popular affirmation is that the village of whitwick contains three cities', 'a popular affirmation is that the village of whitwick contains three civils']
|
|
[
"the amisham hill area is noted for its large period properties and leafy streets",
"the alasham hill area is noted for its large period properties and leafy streets",
"the amasham hill area is noted for its large period properties and leafy streets",
"the aumasham hill area is noted for its large period properties and leafy streets",
"the amasham hill area is noted for its large period properties and leafy streets"
] |
the amersham hill area is noted for its large period properties and leafy streets
|
the amisham hill area is noted for its large period properties and leafy streets.
|
the alasham hill area is noted for its large period properties and leafy streets. the amasham hill area is noted for its large period properties and leafy streets. the aumasham hill area is noted for its large period properties and leafy streets. the amasham hill area is noted for its large period properties and leafy streets.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the amisham hill area is noted for its large period properties and leafy streets', 'the alasham hill area is noted for its large period properties and leafy streets', 'the amasham hill area is noted for its large period properties and leafy streets', 'the aumasham hill area is noted for its large period properties and leafy streets', 'the amasham hill area is noted for its large period properties and leafy streets']
|
|
[
"or not you so much perhaps as your friend in the city",
"or not you so much perhaps as your friend in the city",
"or not use so much perhaps as your friend in the city",
"or not use so much perhaps as your friend in the city",
"or not use so much perhaps as your friend in the city"
] |
or not you so much perhaps as your friend in the city
|
or not you so much perhaps as your friend in the city.
|
or not you so much perhaps as your friend in the city. or not use so much perhaps as your friend in the city. or not use so much perhaps as your friend in the city. or not use so much perhaps as your friend in the city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['or not you so much perhaps as your friend in the city', 'or not you so much perhaps as your friend in the city', 'or not use so much perhaps as your friend in the city', 'or not use so much perhaps as your friend in the city', 'or not use so much perhaps as your friend in the city']
|
|
[
"the main principles of this belief system are karma reincarnation and impermanence",
"the main principles of this belief system are karma reincarnation and impermanence",
"the main principles of this belief system are karma reincarnation and impermanence",
"the main principles of this belief system are karma reincarnation and impermanence",
"the main principles of this belief system are karma reincarnation and impermanence"
] |
the main principles of this belief system are karma reincarnation and impermanence
|
the main principles of this belief system are karma reincarnation and impermanence.
|
the main principles of this belief system are karma reincarnation and impermanence. the main principles of this belief system are karma reincarnation and impermanence. the main principles of this belief system are karma reincarnation and impermanence. the main principles of this belief system are karma reincarnation and impermanence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main principles of this belief system are karma reincarnation and impermanence', 'the main principles of this belief system are karma reincarnation and impermanence', 'the main principles of this belief system are karma reincarnation and impermanence', 'the main principles of this belief system are karma reincarnation and impermanence', 'the main principles of this belief system are karma reincarnation and impermanence']
|
|
[
"it was inspired by and bears resemblance to the shelby daytona",
"it was inspired by and bears resemblance to the shelby daytona",
"it was inspired by and best resemblance to the shelby daytona",
"it was inspired by and bears resemblance to the shelby day conor",
"it was inspired by and bear is resemblance to the shelby daytona"
] |
it was inspired by and bears resemblance to the shelby daytona
|
it was inspired by and bears resemblance to the shelby daytona.
|
it was inspired by and bears resemblance to the shelby daytona. it was inspired by and best resemblance to the shelby daytona. it was inspired by and bears resemblance to the shelby day conor. it was inspired by and bear is resemblance to the shelby daytona.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it was inspired by and bears resemblance to the shelby daytona', 'it was inspired by and bears resemblance to the shelby daytona', 'it was inspired by and best resemblance to the shelby daytona', 'it was inspired by and bears resemblance to the shelby day conor', 'it was inspired by and bear is resemblance to the shelby daytona']
|
|
[
"parisburg junior high school is housed in the old parisburg high school building",
"parisburg junior high school is housed in the old parisburg high school building",
"perrisburg junior high school is housed in the old perrisburg high school building",
"perrisburg junior high school is housed in the old perrisburg high school building",
"perysburg junior high school is housed in the old perysburg high school building"
] |
perrysburg junior high school is housed in the old perrysburg high school building
|
parisburg junior high school is housed in the old parisburg high school building.
|
parisburg junior high school is housed in the old parisburg high school building. perrisburg junior high school is housed in the old perrisburg high school building. perrisburg junior high school is housed in the old perrisburg high school building. perysburg junior high school is housed in the old perysburg high school building.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['parisburg junior high school is housed in the old parisburg high school building', 'parisburg junior high school is housed in the old parisburg high school building', 'perrisburg junior high school is housed in the old perrisburg high school building', 'perrisburg junior high school is housed in the old perrisburg high school building', 'perysburg junior high school is housed in the old perysburg high school building']
|
|
[
"the area formally encompassed by the region is now part of lax district",
"the area formally encompassed by the region is now part of lax district",
"the area formally encompassed by the region is now part of lax district",
"the area formerly encompassed by the region is now part of lax district",
"the area formerly encompassed by the region is now part of lax district"
] |
the area formerly encompassed by the region is now part of lacs district
|
the area formally encompassed by the region is now part of lax district.
|
the area formally encompassed by the region is now part of lax district. the area formally encompassed by the region is now part of lax district. the area formerly encompassed by the region is now part of lax district. the area formerly encompassed by the region is now part of lax district.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the area formally encompassed by the region is now part of lax district', 'the area formally encompassed by the region is now part of lax district', 'the area formally encompassed by the region is now part of lax district', 'the area formerly encompassed by the region is now part of lax district', 'the area formerly encompassed by the region is now part of lax district']
|
|
[
"it stands on the townlands of klogger domines and klogger dominants",
"it stands on the townlands of klogur domeness and klogur tamanance",
"it stands on the townlands of klogur domeness and klogur tamanance",
"it stands on the townlands of klogur domeness and klogur tamanans",
"it stands on the townlands of klogger deminis and klogger tumans"
] |
it stands on the townlands of clogher demesne and clogher tenements
|
it stands on the townlands of klogger domines and klogger dominants.
|
it stands on the townlands of klogur domeness and klogur tamanance. it stands on the townlands of klogur domeness and klogur tamanance. it stands on the townlands of klogur domeness and klogur tamanans. it stands on the townlands of klogger deminis and klogger tumans.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it stands on the townlands of klogger domines and klogger dominants', 'it stands on the townlands of klogur domeness and klogur tamanance', 'it stands on the townlands of klogur domeness and klogur tamanance', 'it stands on the townlands of klogur domeness and klogur tamanans', 'it stands on the townlands of klogger deminis and klogger tumans']
|
|
[
"his legacy lives on primarily in thousands of sailboats",
"his legacy lives on primarily in thousands of sailboats",
"his legacy lives on primarily in thousands of sailboats",
"his legacy lives on primarily in thousands of sailboats",
"his legacy lives on primarily in thousands of sailboats"
] |
his legacy lives on primarily in thousands of sailboats
|
his legacy lives on primarily in thousands of sailboats.
|
his legacy lives on primarily in thousands of sailboats. his legacy lives on primarily in thousands of sailboats. his legacy lives on primarily in thousands of sailboats. his legacy lives on primarily in thousands of sailboats.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his legacy lives on primarily in thousands of sailboats', 'his legacy lives on primarily in thousands of sailboats', 'his legacy lives on primarily in thousands of sailboats', 'his legacy lives on primarily in thousands of sailboats', 'his legacy lives on primarily in thousands of sailboats']
|
|
[
"the former appears to be the first astronomical x ray source detected in pegasus",
"the former appears to be the first astronomical x ray source detected in pegasus",
"the format appears to be the first astronomical x ray source detected in pegasus",
"the formal appears to be the first astronomical x ray source detected in pegasus",
"the former appears to be the first astronomical x ray source detected in pegasus"
] |
the former appears to be the first astronomical x ray source detected in pegasus
|
the former appears to be the first astronomical x ray source detected in pegasus.
|
the former appears to be the first astronomical x ray source detected in pegasus. the format appears to be the first astronomical x ray source detected in pegasus. the formal appears to be the first astronomical x ray source detected in pegasus. the former appears to be the first astronomical x ray source detected in pegasus.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the former appears to be the first astronomical x ray source detected in pegasus', 'the former appears to be the first astronomical x ray source detected in pegasus', 'the format appears to be the first astronomical x ray source detected in pegasus', 'the formal appears to be the first astronomical x ray source detected in pegasus', 'the former appears to be the first astronomical x ray source detected in pegasus']
|
|
[
"then travel worldwide and raise funds for the blind",
"then shower worldwide and raise funds for the blind",
"they travel worldwide and raise funds for the blind",
"then shower worldwide and rise funds for the blind",
"then travel worldwide and raise funds for the bind"
] |
they traveled worldwide and raised funds for the blind
|
then travel worldwide and raise funds for the blind.
|
then shower worldwide and raise funds for the blind. they travel worldwide and raise funds for the blind. then shower worldwide and rise funds for the blind. then travel worldwide and raise funds for the bind.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['then travel worldwide and raise funds for the blind', 'then shower worldwide and raise funds for the blind', 'they travel worldwide and raise funds for the blind', 'then shower worldwide and rise funds for the blind', 'then travel worldwide and raise funds for the bind']
|
|
[
"maximus provided his name profession and identity as a christian",
"maximus provided his name profession and identity as a christian",
"maximus provided his name profession and identity as a christian",
"maximus provided his name profession and identity as a christian",
"maximus provided his name profession and identity as a christian"
] |
maximus provided his name profession and identity as a christian
|
maximus provided his name profession and identity as a christian.
|
maximus provided his name profession and identity as a christian. maximus provided his name profession and identity as a christian. maximus provided his name profession and identity as a christian. maximus provided his name profession and identity as a christian.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['maximus provided his name profession and identity as a christian', 'maximus provided his name profession and identity as a christian', 'maximus provided his name profession and identity as a christian', 'maximus provided his name profession and identity as a christian', 'maximus provided his name profession and identity as a christian']
|
|
[
"half high screen doors have been installed in all elevated stations",
"half height screen doors have been installed in all elevated stations",
"half hide screen doors have been installed in all elevated stations",
"half high screen doors have been installed in all elevated stations",
"half height screen doors have been installed in all elevated stations"
] |
half height screen doors have been installed in all elevated stations
|
half high screen doors have been installed in all elevated stations.
|
half height screen doors have been installed in all elevated stations. half hide screen doors have been installed in all elevated stations. half high screen doors have been installed in all elevated stations. half height screen doors have been installed in all elevated stations.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['half high screen doors have been installed in all elevated stations', 'half height screen doors have been installed in all elevated stations', 'half hide screen doors have been installed in all elevated stations', 'half high screen doors have been installed in all elevated stations', 'half height screen doors have been installed in all elevated stations']
|
|
[
"shortly after she gave birth to a daughter she were contacted",
"shortly after she gave birth to a daughter sheber contacted him",
"shortly after she gave birth to a daughter she birth contacted him",
"shortly after she gave birth to a daughter sheber contacted him",
"shortly after she gave birth to a daughter she bar contacted him"
] |
shortly after she gave birth to a daughter she broke contact with him
|
shortly after she gave birth to a daughter she were contacted.
|
shortly after she gave birth to a daughter sheber contacted him. shortly after she gave birth to a daughter she birth contacted him. shortly after she gave birth to a daughter sheber contacted him. shortly after she gave birth to a daughter she bar contacted him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shortly after she gave birth to a daughter she were contacted', 'shortly after she gave birth to a daughter sheber contacted him', 'shortly after she gave birth to a daughter she birth contacted him', 'shortly after she gave birth to a daughter sheber contacted him', 'shortly after she gave birth to a daughter she bar contacted him']
|
|
[
"i am all your students with a water pattern who taught him about italian art",
"i am only a student with a water pattern who taught him about italian art",
"i am all your students with a water passer who taught him about italian art",
"i am only a student with a water passer who taught him about italian art",
"i am all your students with a water passor who taught him about italian art"
] |
among his tutors was walter pater who taught him about italian art
|
i am all your students with a water pattern who taught him about italian art.
|
i am only a student with a water pattern who taught him about italian art. i am all your students with a water passer who taught him about italian art. i am only a student with a water passer who taught him about italian art. i am all your students with a water passor who taught him about italian art.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i am all your students with a water pattern who taught him about italian art', 'i am only a student with a water pattern who taught him about italian art', 'i am all your students with a water passer who taught him about italian art', 'i am only a student with a water passer who taught him about italian art', 'i am all your students with a water passor who taught him about italian art']
|
|
[
"however for some cases several vineyards have one appellation",
"however for some cases several vineyards have one appulation",
"however for some cases several vineyards have one appulation",
"however for some cases several vineyards have one appellation",
"however for some cases several vineyards have one appulation"
] |
however for some cases several vineyards have one appellation
|
however for some cases several vineyards have one appellation.
|
however for some cases several vineyards have one appulation. however for some cases several vineyards have one appulation. however for some cases several vineyards have one appellation. however for some cases several vineyards have one appulation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however for some cases several vineyards have one appellation', 'however for some cases several vineyards have one appulation', 'however for some cases several vineyards have one appulation', 'however for some cases several vineyards have one appellation', 'however for some cases several vineyards have one appulation']
|
|
[
"in vertebrae hepatic cells typically produce the greatest amounts",
"invertebrate hepatic cells typically produce the greatest amounts",
"in vertebrate hepatic cells typically produce the greatest amounts",
"in vertebrates hepatic cells typically produce the greatest amounts",
"in vertebrae hepatic cells typically produce the greatest amount"
] |
in vertebrates hepatic cells typically produce the greatest amounts
|
in vertebrae hepatic cells typically produce the greatest amounts.
|
invertebrate hepatic cells typically produce the greatest amounts. in vertebrate hepatic cells typically produce the greatest amounts. in vertebrates hepatic cells typically produce the greatest amounts. in vertebrae hepatic cells typically produce the greatest amount.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in vertebrae hepatic cells typically produce the greatest amounts', 'invertebrate hepatic cells typically produce the greatest amounts', 'in vertebrate hepatic cells typically produce the greatest amounts', 'in vertebrates hepatic cells typically produce the greatest amounts', 'in vertebrae hepatic cells typically produce the greatest amount']
|
|
[
"it is located in the bay of sanctuary region",
"it is located in the bay of tanty region",
"it is located in the bay of tenty region",
"it is located in the bay of santi region",
"it is located in the bay of twenty egypt"
] |
it is located in the bay of plenty region
|
it is located in the bay of sanctuary region.
|
it is located in the bay of tanty region. it is located in the bay of tenty region. it is located in the bay of santi region. it is located in the bay of twenty egypt.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is located in the bay of sanctuary region', 'it is located in the bay of tanty region', 'it is located in the bay of tenty region', 'it is located in the bay of santi region', 'it is located in the bay of twenty egypt']
|
|
[
"he later adopted the code name justice",
"he later adapted the code name justice",
"he led adapted the code name justice",
"he later adapted the codename justice",
"he later adopted the codename justice"
] |
he later adopted the codename justice
|
he later adopted the code name justice.
|
he later adapted the code name justice. he led adapted the code name justice. he later adapted the codename justice. he later adopted the codename justice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he later adopted the code name justice', 'he later adapted the code name justice', 'he led adapted the code name justice', 'he later adapted the codename justice', 'he later adopted the codename justice']
|
|
[
"julian people repousing on furniture in a value store",
"julian people are passing on furniture in a value store",
"julian people repousing on furniture and values too",
"two young people are passing on furniture in a value store",
"two young people repousing on furniture in a value store"
] |
two young people roughhousing on furniture in a value store
|
julian people repousing on furniture in a value store.
|
julian people are passing on furniture in a value store. julian people repousing on furniture and values too. two young people are passing on furniture in a value store. two young people repousing on furniture in a value store.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['julian people repousing on furniture in a value store', 'julian people are passing on furniture in a value store', 'julian people repousing on furniture and values too', 'two young people are passing on furniture in a value store', 'two young people repousing on furniture in a value store']
|
|
[
"sair is home to the robert pekka hospital and guthrie clinic",
"sair is home to the robert pekka hospital and guthrie clinic",
"sair is home to the robert peckah hospital and guthrie clinic",
"sayer is home to the robert pekka hospital and guthrie clinic",
"sayer is home to the robert pekka hospital and guthrie clinic"
] |
sayre is home to the robert packer hospital and guthrie clinic
|
sair is home to the robert pekka hospital and guthrie clinic.
|
sair is home to the robert pekka hospital and guthrie clinic. sair is home to the robert peckah hospital and guthrie clinic. sayer is home to the robert pekka hospital and guthrie clinic. sayer is home to the robert pekka hospital and guthrie clinic.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sair is home to the robert pekka hospital and guthrie clinic', 'sair is home to the robert pekka hospital and guthrie clinic', 'sair is home to the robert peckah hospital and guthrie clinic', 'sayer is home to the robert pekka hospital and guthrie clinic', 'sayer is home to the robert pekka hospital and guthrie clinic']
|
|
[
"festivals of the shrine u matsuri hirakuni matsuri",
"festivals of the shrine umatsuri hirakuni matsuri",
"festivals of the shrine u matsuri hirakuni matsuri",
"festivals of the shrine u matsuri hirakuni matsuri",
"festival of the shrine u matsuri hirakuni matsuri"
] |
festivals of the shrine u matsuri hirakuni matsuri
|
festivals of the shrine u matsuri hirakuni matsuri.
|
festivals of the shrine umatsuri hirakuni matsuri. festivals of the shrine u matsuri hirakuni matsuri. festivals of the shrine u matsuri hirakuni matsuri. festival of the shrine u matsuri hirakuni matsuri.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['festivals of the shrine u matsuri hirakuni matsuri', 'festivals of the shrine umatsuri hirakuni matsuri', 'festivals of the shrine u matsuri hirakuni matsuri', 'festivals of the shrine u matsuri hirakuni matsuri', 'festival of the shrine u matsuri hirakuni matsuri']
|
|
[
"however deadlocks become an unfortunate side effect of locking in dark bases",
"however deadlocks become an unfortunate side effect of locking in dart bases",
"however deadlocks become an unfortunate side effect of locking in dead bases",
"however dead logs become an unfortunate side effect of locking in dart bases",
"however dead logs become an unfortunate side effect of locking in dark bases"
] |
however deadlocks become an unfortunate side effect of locking in databases
|
however deadlocks become an unfortunate side effect of locking in dark bases.
|
however deadlocks become an unfortunate side effect of locking in dart bases. however deadlocks become an unfortunate side effect of locking in dead bases. however dead logs become an unfortunate side effect of locking in dart bases. however dead logs become an unfortunate side effect of locking in dark bases.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however deadlocks become an unfortunate side effect of locking in dark bases', 'however deadlocks become an unfortunate side effect of locking in dart bases', 'however deadlocks become an unfortunate side effect of locking in dead bases', 'however dead logs become an unfortunate side effect of locking in dart bases', 'however dead logs become an unfortunate side effect of locking in dark bases']
|
|
[
"neither the local nor national government supported the settlement in kanugas",
"neither the local nor national government supported the settlement in karnugas",
"neither the local nor national government supported the settlement in kanhugas",
"neither the local nor national government supported the settlement in kannugas",
"neither the local nor national government supported the settlement in kanungas"
] |
neither the local nor national government supported the settlement in canudos
|
neither the local nor national government supported the settlement in kanugas.
|
neither the local nor national government supported the settlement in karnugas. neither the local nor national government supported the settlement in kanhugas. neither the local nor national government supported the settlement in kannugas. neither the local nor national government supported the settlement in kanungas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['neither the local nor national government supported the settlement in kanugas', 'neither the local nor national government supported the settlement in karnugas', 'neither the local nor national government supported the settlement in kanhugas', 'neither the local nor national government supported the settlement in kannugas', 'neither the local nor national government supported the settlement in kanungas']
|
|
[
"after the restoration of chikot slovakia the pre breakup status was restored",
"after the restoration of chico slovakia the pre breakup status was restored",
"after the restoration of czechoslovakia the pre breakup status was restored",
"after the restoration of chekov slovakia the pre breakup status was restored",
"after the restoration of chikot slovakia the pre breakups status was restored"
] |
after the restoration of czechoslovakia the pre breakup status was restored
|
after the restoration of chikot slovakia the pre breakup status was restored.
|
after the restoration of chico slovakia the pre breakup status was restored. after the restoration of czechoslovakia the pre breakup status was restored. after the restoration of chekov slovakia the pre breakup status was restored. after the restoration of chikot slovakia the pre breakups status was restored.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after the restoration of chikot slovakia the pre breakup status was restored', 'after the restoration of chico slovakia the pre breakup status was restored', 'after the restoration of czechoslovakia the pre breakup status was restored', 'after the restoration of chekov slovakia the pre breakup status was restored', 'after the restoration of chikot slovakia the pre breakups status was restored']
|
|
[
"here it is suchy",
"here it is suchy",
"here it is satji",
"here it is satji",
"here it is sajji"
] |
here it is said she
|
here it is suchy.
|
here it is suchy. here it is satji. here it is satji. here it is sajji.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['here it is suchy', 'here it is suchy', 'here it is satji', 'here it is satji', 'here it is sajji']
|
|
[
"some of the professors who are best new political realities left",
"some of the professors who offers new political realities left",
"some of the professors who all burst new political realities left",
"some of the professors who are the new political realities left",
"some of the provinces who are best new political realities left"
] |
some of the professors who opposed new political realities left
|
some of the professors who are best new political realities left.
|
some of the professors who offers new political realities left. some of the professors who all burst new political realities left. some of the professors who are the new political realities left. some of the provinces who are best new political realities left.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some of the professors who are best new political realities left', 'some of the professors who offers new political realities left', 'some of the professors who all burst new political realities left', 'some of the professors who are the new political realities left', 'some of the provinces who are best new political realities left']
|
|
[
"derbedium content in minerals is often calculated according to terms of arbors",
"yes derbedium content in minerals is often calculated according to terms of abs",
"there are the idiom content in minerals is often calculated according to terms of arbors",
"derbedium content in minerals is often calculated according to terms of abia",
"they are up to you content and minerals is often calculated according to terms of abia"
] |
the rubidium content in minerals is often calculated and quoted in terms of rbo
|
derbedium content in minerals is often calculated according to terms of arbors.
|
yes derbedium content in minerals is often calculated according to terms of abs. there are the idiom content in minerals is often calculated according to terms of arbors. derbedium content in minerals is often calculated according to terms of abia. they are up to you content and minerals is often calculated according to terms of abia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['derbedium content in minerals is often calculated according to terms of arbors', 'yes derbedium content in minerals is often calculated according to terms of abs', 'there are the idiom content in minerals is often calculated according to terms of arbors', 'derbedium content in minerals is often calculated according to terms of abia', 'they are up to you content and minerals is often calculated according to terms of abia']
|
|
[
"all episodes survive",
"all episodes survived",
"all episodes survive",
"all episodes survive",
"all the episodes survive"
] |
all episodes survive
|
all episodes survive.
|
all episodes survived. all episodes survive. all episodes survive. all the episodes survive.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['all episodes survive', 'all episodes survived', 'all episodes survive', 'all episodes survive', 'all the episodes survive']
|
|
[
"federal agencies also lend idle funds in their federal funds market",
"federal agencies also land idle funds in their federal funds market",
"faroe agencies also land idle funds in their federal funds market",
"federal agencies also lend idle funds in their federal funds market",
"faroe agencies also lend idle funds in their federal funds market"
] |
federal agencies also lend idle funds in the federal funds market
|
federal agencies also lend idle funds in their federal funds market.
|
federal agencies also land idle funds in their federal funds market. faroe agencies also land idle funds in their federal funds market. federal agencies also lend idle funds in their federal funds market. faroe agencies also lend idle funds in their federal funds market.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['federal agencies also lend idle funds in their federal funds market', 'federal agencies also land idle funds in their federal funds market', 'faroe agencies also land idle funds in their federal funds market', 'federal agencies also lend idle funds in their federal funds market', 'faroe agencies also lend idle funds in their federal funds market']
|
|
[
"they instigate in operational disinformation on quality technology as well",
"they instigate in operational disinformation on policy technology as well",
"they instigate in operational disinformation on quality technology transfer",
"they instigate in operational disinformation and quality technology transfer",
"they instigate in operational disinformation and policy technology as well"
] |
they instigated an operation of disinformation and faulty technology transfer
|
they instigate in operational disinformation on quality technology as well.
|
they instigate in operational disinformation on policy technology as well. they instigate in operational disinformation on quality technology transfer. they instigate in operational disinformation and quality technology transfer. they instigate in operational disinformation and policy technology as well.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they instigate in operational disinformation on quality technology as well', 'they instigate in operational disinformation on policy technology as well', 'they instigate in operational disinformation on quality technology transfer', 'they instigate in operational disinformation and quality technology transfer', 'they instigate in operational disinformation and policy technology as well']
|
|
[
"he was accused of egotism and of being quarrelsome",
"he was accused of egoism and of being quarrelsome",
"he was accused of ego tism and of being quarrelsome",
"he was accused of egoism and of being quarrelsome",
"he was accused of egotism and of being quarrelsome"
] |
he was accused of egotism and of being quarrelsome
|
he was accused of egotism and of being quarrelsome.
|
he was accused of egoism and of being quarrelsome. he was accused of ego tism and of being quarrelsome. he was accused of egoism and of being quarrelsome. he was accused of egotism and of being quarrelsome.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was accused of egotism and of being quarrelsome', 'he was accused of egoism and of being quarrelsome', 'he was accused of ego tism and of being quarrelsome', 'he was accused of egoism and of being quarrelsome', 'he was accused of egotism and of being quarrelsome']
|
|
[
"the market caller then matched orders on a price and time priority basis",
"the market collar then matched orders on a price and time priority basis",
"the market color then matched orders on a price and time priority basis",
"the market caller then matched orders on a price and time priority basis",
"the market caller then matched orders on a price and time priority basis"
] |
the market caller then matched orders on a price and time priority basis
|
the market caller then matched orders on a price and time priority basis.
|
the market collar then matched orders on a price and time priority basis. the market color then matched orders on a price and time priority basis. the market caller then matched orders on a price and time priority basis. the market caller then matched orders on a price and time priority basis.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the market caller then matched orders on a price and time priority basis', 'the market collar then matched orders on a price and time priority basis', 'the market color then matched orders on a price and time priority basis', 'the market caller then matched orders on a price and time priority basis', 'the market caller then matched orders on a price and time priority basis']
|
|
[
"the department also has four time criminal investigation division and two full service canines",
"the department also has four time criminal investigation division and two full service canines",
"the department also has four time criminal investigation division and two full service canines",
"the department also has four time criminal investigation division and two full service canines",
"the department also has four time criminal investigation division and two full service canines"
] |
the department also has a full time criminal investigation division and two full service canines
|
the department also has four time criminal investigation division and two full service canines.
|
the department also has four time criminal investigation division and two full service canines. the department also has four time criminal investigation division and two full service canines. the department also has four time criminal investigation division and two full service canines. the department also has four time criminal investigation division and two full service canines.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the department also has four time criminal investigation division and two full service canines', 'the department also has four time criminal investigation division and two full service canines', 'the department also has four time criminal investigation division and two full service canines', 'the department also has four time criminal investigation division and two full service canines', 'the department also has four time criminal investigation division and two full service canines']
|
|
[
"on leaving highgate he attended and played cricket for southgate school",
"on leaving highgate he attended and played cricket four southgate school",
"he attended and played cricket for southgate school",
"on leaving highgate he attended and played cricket for southgate school",
"on leaving highgate he attended and played cricket for southgate school"
] |
on leaving highgate he attended and played cricket for southgate school
|
on leaving highgate he attended and played cricket for southgate school.
|
on leaving highgate he attended and played cricket four southgate school. he attended and played cricket for southgate school. on leaving highgate he attended and played cricket for southgate school. on leaving highgate he attended and played cricket for southgate school.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['on leaving highgate he attended and played cricket for southgate school', 'on leaving highgate he attended and played cricket four southgate school', 'he attended and played cricket for southgate school', 'on leaving highgate he attended and played cricket for southgate school', 'on leaving highgate he attended and played cricket for southgate school']
|
|
[
"he also came up with his old to the wondrous",
"he also came up with his old to the wonderers",
"he also came up with his old and wondrous",
"it also came out of its old to the wondrous",
"it also came out of it against all to the wondrous"
] |
he also came on the following week against bolton wanderers
|
he also came up with his old to the wondrous.
|
he also came up with his old to the wonderers. he also came up with his old and wondrous. it also came out of its old to the wondrous. it also came out of it against all to the wondrous.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also came up with his old to the wondrous', 'he also came up with his old to the wonderers', 'he also came up with his old and wondrous', 'it also came out of its old to the wondrous', 'it also came out of it against all to the wondrous']
|
|
[
"konomechi characters represent size adjusted linear measurements between standard cranial and mocks",
"konomachi characters represent size adjusted linear measurements between standard cranial and mocks",
"conometric characters represent size adjusted linear measurements between standard cranial and mocks",
"chrono matchy characters represent size adjusted linear measurements between standard cranial and mocks",
"coronametric characters represent size adjusted linear measurements between standard cranial and mocks"
] |
craniometric characters represent size adjusted linear measurements between standard cranial landmarks
|
konomechi characters represent size adjusted linear measurements between standard cranial and mocks.
|
konomachi characters represent size adjusted linear measurements between standard cranial and mocks. conometric characters represent size adjusted linear measurements between standard cranial and mocks. chrono matchy characters represent size adjusted linear measurements between standard cranial and mocks. coronametric characters represent size adjusted linear measurements between standard cranial and mocks.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['konomechi characters represent size adjusted linear measurements between standard cranial and mocks', 'konomachi characters represent size adjusted linear measurements between standard cranial and mocks', 'conometric characters represent size adjusted linear measurements between standard cranial and mocks', 'chrono matchy characters represent size adjusted linear measurements between standard cranial and mocks', 'coronametric characters represent size adjusted linear measurements between standard cranial and mocks']
|
|
[
"he was dying of course",
"he was dying of course",
"he was dying of course",
"he was dying of course",
"he was dying of course"
] |
he was dying of course .
|
he was dying of course.
|
he was dying of course. he was dying of course. he was dying of course. he was dying of course.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was dying of course', 'he was dying of course', 'he was dying of course', 'he was dying of course', 'he was dying of course']
|
|
[
"he gave public lectures denouncing cardinals nicholas weisman and john henry newman",
"he gave public lectures denouncing cardinals nicholas weisman and john henry newman",
"he gave public lectures denouncing cardinals nicholas weisman and john henry newman",
"he gave public lectures denouncing cardinals nicholas weisman and john henry newman",
"he gave public lectures denouncing cardinals nicholas wiseman and john henry newman"
] |
he gave public lectures denouncing cardinals nicholas wiseman and john henry newman
|
he gave public lectures denouncing cardinals nicholas weisman and john henry newman.
|
he gave public lectures denouncing cardinals nicholas weisman and john henry newman. he gave public lectures denouncing cardinals nicholas weisman and john henry newman. he gave public lectures denouncing cardinals nicholas weisman and john henry newman. he gave public lectures denouncing cardinals nicholas wiseman and john henry newman.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he gave public lectures denouncing cardinals nicholas weisman and john henry newman', 'he gave public lectures denouncing cardinals nicholas weisman and john henry newman', 'he gave public lectures denouncing cardinals nicholas weisman and john henry newman', 'he gave public lectures denouncing cardinals nicholas weisman and john henry newman', 'he gave public lectures denouncing cardinals nicholas wiseman and john henry newman']
|
|
[
"the ending in which fort cannon dies was declared a winner",
"the ending in which poor canon dies was declared a winner",
"the ending in which port canon dies was declared a winner",
"the ending in which fort canon dies was declared a winner",
"the ending in which port cannon dies was declared a winner"
] |
the ending in which podkayne dies was declared the winner
|
the ending in which fort cannon dies was declared a winner.
|
the ending in which poor canon dies was declared a winner. the ending in which port canon dies was declared a winner. the ending in which fort canon dies was declared a winner. the ending in which port cannon dies was declared a winner.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the ending in which fort cannon dies was declared a winner', 'the ending in which poor canon dies was declared a winner', 'the ending in which port canon dies was declared a winner', 'the ending in which fort canon dies was declared a winner', 'the ending in which port cannon dies was declared a winner']
|
|
[
"the chronological ordering is largely uncertain",
"the chronological ordering is largely uncertain",
"the chronological ordering is largely uncertain",
"the chronological ordering is largely uncertain",
"the chronological ordering is largely uncertain"
] |
the chronological ordering is largely uncertain
|
the chronological ordering is largely uncertain.
|
the chronological ordering is largely uncertain. the chronological ordering is largely uncertain. the chronological ordering is largely uncertain. the chronological ordering is largely uncertain.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the chronological ordering is largely uncertain', 'the chronological ordering is largely uncertain', 'the chronological ordering is largely uncertain', 'the chronological ordering is largely uncertain', 'the chronological ordering is largely uncertain']
|
|
[
"bodkin hospital is named after him",
"bodkin hasbro is named after him",
"botkin hospital is named after him",
"botkin hasbro is named after him",
"bodkin haspro is named after him"
] |
botkin hospital is named after him
|
bodkin hospital is named after him.
|
bodkin hasbro is named after him. botkin hospital is named after him. botkin hasbro is named after him. bodkin haspro is named after him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bodkin hospital is named after him', 'bodkin hasbro is named after him', 'botkin hospital is named after him', 'botkin hasbro is named after him', 'bodkin haspro is named after him']
|
|
[
"the gunmar telescope is located on mount komachi in the south",
"the gunma telescope is located on mount komachi in the south",
"the good martelloscope is located on mount komachi in the south",
"the gunmar telescope is located on mt komachi in the south",
"the gunma telescope is located on mt komachi in the south"
] |
the gunma telescope is located on mount komochi in the south
|
the gunmar telescope is located on mount komachi in the south.
|
the gunma telescope is located on mount komachi in the south. the good martelloscope is located on mount komachi in the south. the gunmar telescope is located on mt komachi in the south. the gunma telescope is located on mt komachi in the south.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the gunmar telescope is located on mount komachi in the south', 'the gunma telescope is located on mount komachi in the south', 'the good martelloscope is located on mount komachi in the south', 'the gunmar telescope is located on mt komachi in the south', 'the gunma telescope is located on mt komachi in the south']
|
|
[
"before founding panademic westnix brand four years are activism as a producer",
"before founding panadamic westnix brand four years are activism as a producer",
"before founding panadamic westnix brand four years are activism as a producer",
"before founding panadamic westnix plan four years are activism as a producer",
"before founding panademic westnix brand four years are activism as a producer"
] |
before founding pandemic resnick spent four years at activision as a producer
|
before founding panademic westnix brand four years are activism as a producer.
|
before founding panadamic westnix brand four years are activism as a producer. before founding panadamic westnix brand four years are activism as a producer. before founding panadamic westnix plan four years are activism as a producer. before founding panademic westnix brand four years are activism as a producer.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['before founding panademic westnix brand four years are activism as a producer', 'before founding panadamic westnix brand four years are activism as a producer', 'before founding panadamic westnix brand four years are activism as a producer', 'before founding panadamic westnix plan four years are activism as a producer', 'before founding panademic westnix brand four years are activism as a producer']
|
|
[
"ancient greek civilization preferred human forms with idealized proportions for divine representation",
"ancient greek civilization preferred human forms with idealized proportions for divine representation",
"ancient greek civilization preferred human forms with idolized proportions for divine representation",
"ancient greek civilisation preferred human forms with idealized proportions for divine representation",
"ancient greek civilization preferred human forms with idealized proportions for divine representation"
] |
ancient greek civilization preferred human forms with idealized proportions for divine representation
|
ancient greek civilization preferred human forms with idealized proportions for divine representation.
|
ancient greek civilization preferred human forms with idealized proportions for divine representation. ancient greek civilization preferred human forms with idolized proportions for divine representation. ancient greek civilisation preferred human forms with idealized proportions for divine representation. ancient greek civilization preferred human forms with idealized proportions for divine representation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ancient greek civilization preferred human forms with idealized proportions for divine representation', 'ancient greek civilization preferred human forms with idealized proportions for divine representation', 'ancient greek civilization preferred human forms with idolized proportions for divine representation', 'ancient greek civilisation preferred human forms with idealized proportions for divine representation', 'ancient greek civilization preferred human forms with idealized proportions for divine representation']
|
|
[
"lyrics and screenplay were written by harvard is crewman",
"lyrics and screenplay were written by harvard is crewman",
"linux and screenplay were written by harvard is crewman",
"lyrics and screenplay were written by harvard is crewman",
"the lyrics and screenplay were written by harvard is crewman"
] |
lyrics and screenplay were written by howard schuman
|
lyrics and screenplay were written by harvard is crewman.
|
lyrics and screenplay were written by harvard is crewman. linux and screenplay were written by harvard is crewman. lyrics and screenplay were written by harvard is crewman. the lyrics and screenplay were written by harvard is crewman.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lyrics and screenplay were written by harvard is crewman', 'lyrics and screenplay were written by harvard is crewman', 'linux and screenplay were written by harvard is crewman', 'lyrics and screenplay were written by harvard is crewman', 'the lyrics and screenplay were written by harvard is crewman']
|
|
[
"give this current series a rating of one",
"give this current series a rating of one",
"give this current series a rating of one",
"give this current series a rating of one",
"give this current series a rating of one"
] |
give this current series a rating of one
|
give this current series a rating of one.
|
give this current series a rating of one. give this current series a rating of one. give this current series a rating of one. give this current series a rating of one.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['give this current series a rating of one', 'give this current series a rating of one', 'give this current series a rating of one', 'give this current series a rating of one', 'give this current series a rating of one']
|
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