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
|
|---|---|---|---|---|---|---|---|---|
[
"his name was never mispronounced by members of the media",
"his name was never mispronounced by members of the media",
"his name was never mispronounced by members of the media",
"his name was never mispronounced by members of the media",
"his name was never mispronounced by members of the media"
] |
his name was never mispronounced by members of the media
|
his name was never mispronounced by members of the media.
|
his name was never mispronounced by members of the media. his name was never mispronounced by members of the media. his name was never mispronounced by members of the media. his name was never mispronounced by members of the media.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his name was never mispronounced by members of the media', 'his name was never mispronounced by members of the media', 'his name was never mispronounced by members of the media', 'his name was never mispronounced by members of the media', 'his name was never mispronounced by members of the media']
|
|
[
"however similar events occurred prior to the invention of aircraft",
"however similarly ones occurred prior to the invention of aircraft",
"however similar events occurred prior to the invention of aircraft",
"however similarly events occurred prior to the invention of aircraft",
"however similarly ones occurred prior to the invention of aircraft"
] |
however similar events occurred prior to the invention of aircraft
|
however similar events occurred prior to the invention of aircraft.
|
however similarly ones occurred prior to the invention of aircraft. however similar events occurred prior to the invention of aircraft. however similarly events occurred prior to the invention of aircraft. however similarly ones occurred prior to the invention of aircraft.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however similar events occurred prior to the invention of aircraft', 'however similarly ones occurred prior to the invention of aircraft', 'however similar events occurred prior to the invention of aircraft', 'however similarly events occurred prior to the invention of aircraft', 'however similarly ones occurred prior to the invention of aircraft']
|
|
[
"the unilaterer national park comprises civil forest",
"the unit has a national park comprised of sewage forests",
"the unilaterer national park comprises civil forests",
"the united arab national park comprises huge forests",
"the united arab national park comprises sewage forests"
] |
the ulidarra national park comprises huge forests
|
the unilaterer national park comprises civil forest.
|
the unit has a national park comprised of sewage forests. the unilaterer national park comprises civil forests. the united arab national park comprises huge forests. the united arab national park comprises sewage forests.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unilaterer national park comprises civil forest', 'the unit has a national park comprised of sewage forests', 'the unilaterer national park comprises civil forests', 'the united arab national park comprises huge forests', 'the united arab national park comprises sewage forests']
|
|
[
"in this process the analyte solution is electrolyzed",
"in this process the analyte solution is electrolyzed",
"in this process the analyte solution is electrolyzed",
"in this process the analyte solution is electrolyzed",
"in this process the analyte solution is electrolyased"
] |
in this process the analyte solution is electrolyzed
|
in this process the analyte solution is electrolyzed.
|
in this process the analyte solution is electrolyzed. in this process the analyte solution is electrolyzed. in this process the analyte solution is electrolyzed. in this process the analyte solution is electrolyased.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in this process the analyte solution is electrolyzed', 'in this process the analyte solution is electrolyzed', 'in this process the analyte solution is electrolyzed', 'in this process the analyte solution is electrolyzed', 'in this process the analyte solution is electrolyased']
|
|
[
"there are many forests which have been designated as wildlife protection areas",
"there are many forest which have been designated as wildlife protection areas",
"there are many forests which have been designated as wildlife protection areas",
"there are many forest which have been designated as wildlife protection areas",
"there are many forest which have been designated as wildlife protection areas"
] |
there are many forests which have been designated as wildlife protection areas
|
there are many forests which have been designated as wildlife protection areas.
|
there are many forest which have been designated as wildlife protection areas. there are many forests which have been designated as wildlife protection areas. there are many forest which have been designated as wildlife protection areas. there are many forest which have been designated as wildlife protection areas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are many forests which have been designated as wildlife protection areas', 'there are many forest which have been designated as wildlife protection areas', 'there are many forests which have been designated as wildlife protection areas', 'there are many forest which have been designated as wildlife protection areas', 'there are many forest which have been designated as wildlife protection areas']
|
|
[
"this was followed by a half a day as an apprentice car mechanic",
"this was followed by half a day as an apprentice car mechanic",
"this was followed by a half a day as an apparent tease car mechanic",
"this was followed by a half a day as an apprentice carn mechanic",
"this was followed by a half a day as an apprentice car mechanic"
] |
this was followed by half a day as an apprentice car mechanic
|
this was followed by a half a day as an apprentice car mechanic.
|
this was followed by half a day as an apprentice car mechanic. this was followed by a half a day as an apparent tease car mechanic. this was followed by a half a day as an apprentice carn mechanic. this was followed by a half a day as an apprentice car mechanic.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this was followed by a half a day as an apprentice car mechanic', 'this was followed by half a day as an apprentice car mechanic', 'this was followed by a half a day as an apparent tease car mechanic', 'this was followed by a half a day as an apprentice carn mechanic', 'this was followed by a half a day as an apprentice car mechanic']
|
|
[
"his brothers kodryu is the basketball coach at baylor university in waco texas",
"his brothers codreau is the basketball coach at baylor university in waco texas",
"his brother scott drew is the basketball coach at baylor university in waco texas",
"his brothers codrill is the basketball coach at baylor university in waco texas",
"his brothers kodryu is the basketball coach at baylor university in verko texas"
] |
his brother scott drew is the basketball coach at baylor university in waco texas
|
his brothers kodryu is the basketball coach at baylor university in waco texas.
|
his brothers codreau is the basketball coach at baylor university in waco texas. his brother scott drew is the basketball coach at baylor university in waco texas. his brothers codrill is the basketball coach at baylor university in waco texas. his brothers kodryu is the basketball coach at baylor university in verko texas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his brothers kodryu is the basketball coach at baylor university in waco texas', 'his brothers codreau is the basketball coach at baylor university in waco texas', 'his brother scott drew is the basketball coach at baylor university in waco texas', 'his brothers codrill is the basketball coach at baylor university in waco texas', 'his brothers kodryu is the basketball coach at baylor university in verko texas']
|
|
[
"it also bars multiple taxes on electronic commerce",
"it also bars multiple taxes on electronic commas",
"it also baars multiple taxes on electronic commerce",
"it also bars multiple taxes on electronic comers",
"it also buzzed multiple taxes on electronic commerce"
] |
it also bars multiple taxes on electronic commerce
|
it also bars multiple taxes on electronic commerce.
|
it also bars multiple taxes on electronic commas. it also baars multiple taxes on electronic commerce. it also bars multiple taxes on electronic comers. it also buzzed multiple taxes on electronic commerce.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also bars multiple taxes on electronic commerce', 'it also bars multiple taxes on electronic commas', 'it also baars multiple taxes on electronic commerce', 'it also bars multiple taxes on electronic comers', 'it also buzzed multiple taxes on electronic commerce']
|
|
[
"travel on february",
"travel on february",
"trava on february",
"trava on february",
"travel on february"
] |
tarver in february
|
travel on february.
|
travel on february. trava on february. trava on february. travel on february.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['travel on february', 'travel on february', 'trava on february', 'trava on february', 'travel on february']
|
|
[
"messenger has been covered by mazes",
"the messenger has been covered by mazes",
"this injury has been covered by mazes",
"listen to your husband covered by mazes",
"messenger has been covered by mazes"
] |
messenger has been covered by mazes
|
messenger has been covered by mazes.
|
the messenger has been covered by mazes. this injury has been covered by mazes. listen to your husband covered by mazes. messenger has been covered by mazes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['messenger has been covered by mazes', 'the messenger has been covered by mazes', 'this injury has been covered by mazes', 'listen to your husband covered by mazes', 'messenger has been covered by mazes']
|
|
[
"both ardman and pete atkin are based in bristol",
"both ardman and pete etkin are based in bristol",
"both ardman and pete etkin are based in bristol",
"both ardman and pete etkin are based in bristol",
"both ardman and pete etkin are based in bristol"
] |
both aardman and pete atkin are based in bristol
|
both ardman and pete atkin are based in bristol.
|
both ardman and pete etkin are based in bristol. both ardman and pete etkin are based in bristol. both ardman and pete etkin are based in bristol. both ardman and pete etkin are based in bristol.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both ardman and pete atkin are based in bristol', 'both ardman and pete etkin are based in bristol', 'both ardman and pete etkin are based in bristol', 'both ardman and pete etkin are based in bristol', 'both ardman and pete etkin are based in bristol']
|
|
[
"the auditor of the city of baxley is bill harvey",
"the auditor of the city of baxley is bill harvey",
"the auditor of the city of baxley is bill harving",
"the auditor of the city of baxley is bill harving",
"the auditor of the city of baxley is bill harvey"
] |
the auditor of the city of bexley is bill harvey
|
the auditor of the city of baxley is bill harvey.
|
the auditor of the city of baxley is bill harvey. the auditor of the city of baxley is bill harving. the auditor of the city of baxley is bill harving. the auditor of the city of baxley is bill harvey.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the auditor of the city of baxley is bill harvey', 'the auditor of the city of baxley is bill harvey', 'the auditor of the city of baxley is bill harving', 'the auditor of the city of baxley is bill harving', 'the auditor of the city of baxley is bill harvey']
|
|
[
"eps in every series",
"pps in every series",
"eps and every series",
"be a piece in every series",
"eps in every series"
] |
he appears in every series
|
eps in every series.
|
pps in every series. eps and every series. be a piece in every series. eps in every series.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['eps in every series', 'pps in every series', 'eps and every series', 'be a piece in every series', 'eps in every series']
|
|
[
"his grandparents were free at the time of his father is birth",
"his grand parents were free at the time of his father is birth",
"his grand parents were free at the time of his father is birth",
"his grandparents were free at the time of his father is birth",
"his grandparents were free at the time of his father is birth"
] |
his grandparents were free at the time of his father is birth
|
his grandparents were free at the time of his father is birth.
|
his grand parents were free at the time of his father is birth. his grand parents were free at the time of his father is birth. his grandparents were free at the time of his father is birth. his grandparents were free at the time of his father is birth.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his grandparents were free at the time of his father is birth', 'his grand parents were free at the time of his father is birth', 'his grand parents were free at the time of his father is birth', 'his grandparents were free at the time of his father is birth', 'his grandparents were free at the time of his father is birth']
|
|
[
"and i for in fact robbie so has that glow",
"i know for a fact robby so has that glow",
"i know for a fact robby so how is that going",
"and our final factor will be so how is that going",
"and i for a fact robbie so has that glow"
] |
i know for a fact robby still has that glove
|
and i for in fact robbie so has that glow.
|
i know for a fact robby so has that glow. i know for a fact robby so how is that going. and our final factor will be so how is that going. and i for a fact robbie so has that glow.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and i for in fact robbie so has that glow', 'i know for a fact robby so has that glow', 'i know for a fact robby so how is that going', 'and our final factor will be so how is that going', 'and i for a fact robbie so has that glow']
|
|
[
"angot beat pep over the ten round distance by decision",
"angot beat pep over the ten round distance by decision",
"angot beat pep over the ten round distance by decision",
"angot beat pep over the ten round distance by decision",
"angot beat pep over the ten round distance by decision"
] |
angott beat pep over the ten round distance by decision
|
angot beat pep over the ten round distance by decision.
|
angot beat pep over the ten round distance by decision. angot beat pep over the ten round distance by decision. angot beat pep over the ten round distance by decision. angot beat pep over the ten round distance by decision.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['angot beat pep over the ten round distance by decision', 'angot beat pep over the ten round distance by decision', 'angot beat pep over the ten round distance by decision', 'angot beat pep over the ten round distance by decision', 'angot beat pep over the ten round distance by decision']
|
|
[
"fisher brought a vocal dynamism and character that livened up the band is six year old sound",
"fisher brought a vocal dynamism and character that livened up the band is six year old sound",
"fisher brought a vocal dynamism and character that livened up the band is six year old sound",
"fisher brought a vocal dynamism and character that livened up the band is six year old sound",
"fisher brought a vocal dynamism and character that livened up the band is six year old sound"
] |
fisher brought a vocal dynamism and character that livened up the band is six year old sound
|
fisher brought a vocal dynamism and character that livened up the band is six year old sound.
|
fisher brought a vocal dynamism and character that livened up the band is six year old sound. fisher brought a vocal dynamism and character that livened up the band is six year old sound. fisher brought a vocal dynamism and character that livened up the band is six year old sound. fisher brought a vocal dynamism and character that livened up the band is six year old sound.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fisher brought a vocal dynamism and character that livened up the band is six year old sound', 'fisher brought a vocal dynamism and character that livened up the band is six year old sound', 'fisher brought a vocal dynamism and character that livened up the band is six year old sound', 'fisher brought a vocal dynamism and character that livened up the band is six year old sound', 'fisher brought a vocal dynamism and character that livened up the band is six year old sound']
|
|
[
"the joe kaurashu sir lodges dedicated to his memory",
"the joe koroshu sir lodges dedicated to his memory",
"the joe koroshu sir lodges dedicated to his memory",
"the joe koroshu sir lodges dedicated to his memory",
"the joe kaurashu sir lodges dedicated to his memory"
] |
the joe crow shoe senior lodge is dedicated to his memory
|
the joe kaurashu sir lodges dedicated to his memory.
|
the joe koroshu sir lodges dedicated to his memory. the joe koroshu sir lodges dedicated to his memory. the joe koroshu sir lodges dedicated to his memory. the joe kaurashu sir lodges dedicated to his memory.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the joe kaurashu sir lodges dedicated to his memory', 'the joe koroshu sir lodges dedicated to his memory', 'the joe koroshu sir lodges dedicated to his memory', 'the joe koroshu sir lodges dedicated to his memory', 'the joe kaurashu sir lodges dedicated to his memory']
|
|
[
"other pits that form the necropolis also have been excavated",
"other pits that formed the necropolis also have been excavated",
"other bits that form the necropolis also have been excavated",
"other pits that form the necropolis also have been excavated",
"other pits that form the necropolis have also been excavated"
] |
other pits that formed the necropolis also have been excavated
|
other pits that form the necropolis also have been excavated.
|
other pits that formed the necropolis also have been excavated. other bits that form the necropolis also have been excavated. other pits that form the necropolis also have been excavated. other pits that form the necropolis have also been excavated.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other pits that form the necropolis also have been excavated', 'other pits that formed the necropolis also have been excavated', 'other bits that form the necropolis also have been excavated', 'other pits that form the necropolis also have been excavated', 'other pits that form the necropolis have also been excavated']
|
|
[
"two asian kids are putting up a piece of science",
"okay two asian kids are putting up a piece of science",
"two asian kids are putting up a piece of science",
"two asian kids are putting up a piece of science",
"two asian kids are putting up a piece of size"
] |
two asian kids are putting up peace signs
|
two asian kids are putting up a piece of science.
|
okay two asian kids are putting up a piece of science. two asian kids are putting up a piece of science. two asian kids are putting up a piece of science. two asian kids are putting up a piece of size.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two asian kids are putting up a piece of science', 'okay two asian kids are putting up a piece of science', 'two asian kids are putting up a piece of science', 'two asian kids are putting up a piece of science', 'two asian kids are putting up a piece of size']
|
|
[
"okay zairah he considered that this position was wrong",
"okay zairah he concluded that this position was wrong",
"okay zairah he concluded that this position was wrong",
"okay zairah he can see that this position was wrong",
"okay zahira he concluded that this position was wrong"
] |
decades later he conceded that this position was wrong
|
okay zairah he considered that this position was wrong.
|
okay zairah he concluded that this position was wrong. okay zairah he concluded that this position was wrong. okay zairah he can see that this position was wrong. okay zahira he concluded that this position was wrong.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['okay zairah he considered that this position was wrong', 'okay zairah he concluded that this position was wrong', 'okay zairah he concluded that this position was wrong', 'okay zairah he can see that this position was wrong', 'okay zahira he concluded that this position was wrong']
|
|
[
"brahma was released after the season",
"brummer was released after the season",
"bromo was released after the season",
"brummo was released after the season",
"brumma was released after the season"
] |
brummer was released after the season
|
brahma was released after the season.
|
brummer was released after the season. bromo was released after the season. brummo was released after the season. brumma was released after the season.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['brahma was released after the season', 'brummer was released after the season', 'bromo was released after the season', 'brummo was released after the season', 'brumma was released after the season']
|
|
[
"both allied and access countries made heavy use of minesweepers throughout the world",
"both allied and axis countries made heavy use of minesweepers throughout the world",
"both allied and access countries made heavy use of mine sweepers throughout the world",
"both allied and axis countries made heavy use of minesweepers throughout the world",
"both allied and access countries made heavy use of mine sweepers throughout the world"
] |
both allied and axis countries made heavy use of minesweepers throughout the war
|
both allied and access countries made heavy use of minesweepers throughout the world.
|
both allied and axis countries made heavy use of minesweepers throughout the world. both allied and access countries made heavy use of mine sweepers throughout the world. both allied and axis countries made heavy use of minesweepers throughout the world. both allied and access countries made heavy use of mine sweepers throughout the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both allied and access countries made heavy use of minesweepers throughout the world', 'both allied and axis countries made heavy use of minesweepers throughout the world', 'both allied and access countries made heavy use of mine sweepers throughout the world', 'both allied and axis countries made heavy use of minesweepers throughout the world', 'both allied and access countries made heavy use of mine sweepers throughout the world']
|
|
[
"a hiker waves to the camera as he is standing in front of a snow captain out this",
"a hiker waged to the camera as he is standing in front of a snow captain out this",
"a hiker waves to the camera as he is standing in front of a snow captain out there",
"a hiker waged to the camera as he is standing in front of a snow captain out there",
"a hiker waves to the camera as he is standing in front of the snow captain out this"
] |
a hiker waves to the camera as he standing in front of snowcapped mountains
|
a hiker waves to the camera as he is standing in front of a snow captain out this.
|
a hiker waged to the camera as he is standing in front of a snow captain out this. a hiker waves to the camera as he is standing in front of a snow captain out there. a hiker waged to the camera as he is standing in front of a snow captain out there. a hiker waves to the camera as he is standing in front of the snow captain out this.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a hiker waves to the camera as he is standing in front of a snow captain out this', 'a hiker waged to the camera as he is standing in front of a snow captain out this', 'a hiker waves to the camera as he is standing in front of a snow captain out there', 'a hiker waged to the camera as he is standing in front of a snow captain out there', 'a hiker waves to the camera as he is standing in front of the snow captain out this']
|
|
[
"thai identity was mandated and reinforced both in the hotlines and in rural areas",
"tie identity was mandated and reinforced both in the hotlines and in rural areas",
"thai identity was mandated and reinforced both in the hotlands and in rural areas",
"thai identity was mandated and reinforced both in the hotlines and in rural areas",
"tie identity was mandated and reinforced both in the hotlines and in rural areas"
] |
thai identity was mandated and reinforced both in the heartlands and in rural areas
|
thai identity was mandated and reinforced both in the hotlines and in rural areas.
|
tie identity was mandated and reinforced both in the hotlines and in rural areas. thai identity was mandated and reinforced both in the hotlands and in rural areas. thai identity was mandated and reinforced both in the hotlines and in rural areas. tie identity was mandated and reinforced both in the hotlines and in rural areas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['thai identity was mandated and reinforced both in the hotlines and in rural areas', 'tie identity was mandated and reinforced both in the hotlines and in rural areas', 'thai identity was mandated and reinforced both in the hotlands and in rural areas', 'thai identity was mandated and reinforced both in the hotlines and in rural areas', 'tie identity was mandated and reinforced both in the hotlines and in rural areas']
|
|
[
"corporation is another high tech company with a similar name based in japan",
"corporation is another high tech company with a similar name based in japan",
"corporation is another high tech company with a similar name based in japan",
"corporation is another high tech company with a similar name based in japan",
"corporation is another high tech company with a similar name based in japan"
] |
corporation is another high tech company with a similar name based in japan
|
corporation is another high tech company with a similar name based in japan.
|
corporation is another high tech company with a similar name based in japan. corporation is another high tech company with a similar name based in japan. corporation is another high tech company with a similar name based in japan. corporation is another high tech company with a similar name based in japan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['corporation is another high tech company with a similar name based in japan', 'corporation is another high tech company with a similar name based in japan', 'corporation is another high tech company with a similar name based in japan', 'corporation is another high tech company with a similar name based in japan', 'corporation is another high tech company with a similar name based in japan']
|
|
[
"a woman is throwing arrows at a target",
"a woman is drawing arrows at a target",
"a woman is throwing arrows at a target",
"a woman is drawing arrows at a target",
"a woman is throwing arrows at a target"
] |
a woman is throwing arrows at a target
|
a woman is throwing arrows at a target.
|
a woman is drawing arrows at a target. a woman is throwing arrows at a target. a woman is drawing arrows at a target. a woman is throwing arrows at a target.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a woman is throwing arrows at a target', 'a woman is drawing arrows at a target', 'a woman is throwing arrows at a target', 'a woman is drawing arrows at a target', 'a woman is throwing arrows at a target']
|
|
[
"such vagrants have been recorded as far as argentina",
"such vagrants have been recorded as far south as argentina",
"such vagrants have been recorded as far as argentina",
"such a vagrants have been recorded as far as argentina",
"such vagrants have been recorded as far south as argentina"
] |
such vagrants have been recorded as far south as argentina
|
such vagrants have been recorded as far as argentina.
|
such vagrants have been recorded as far south as argentina. such vagrants have been recorded as far as argentina. such a vagrants have been recorded as far as argentina. such vagrants have been recorded as far south as argentina.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['such vagrants have been recorded as far as argentina', 'such vagrants have been recorded as far south as argentina', 'such vagrants have been recorded as far as argentina', 'such a vagrants have been recorded as far as argentina', 'such vagrants have been recorded as far south as argentina']
|
|
[
"he is against the world",
"he is against the world",
"he is against the world",
"he is against the world",
"he is against the world"
] |
he is against the world
|
he is against the world.
|
he is against the world. he is against the world. he is against the world. he is against the world.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he is against the world', 'he is against the world', 'he is against the world', 'he is against the world', 'he is against the world']
|
|
[
"in practice however most total communication programs use some form of simultaneous communication",
"in practice however most total communication programs use some form of simultaneous communication",
"in practice however most total communication programs use some forms of simultaneous communication",
"in practice however most total communication programs use some form of simultaneous communication",
"in practice however most total communication programs use some form of simultaneous communication"
] |
in practice however most total communication programs use some form of simultaneous communication
|
in practice however most total communication programs use some form of simultaneous communication.
|
in practice however most total communication programs use some form of simultaneous communication. in practice however most total communication programs use some forms of simultaneous communication. in practice however most total communication programs use some form of simultaneous communication. in practice however most total communication programs use some form of simultaneous communication.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in practice however most total communication programs use some form of simultaneous communication', 'in practice however most total communication programs use some form of simultaneous communication', 'in practice however most total communication programs use some forms of simultaneous communication', 'in practice however most total communication programs use some form of simultaneous communication', 'in practice however most total communication programs use some form of simultaneous communication']
|
|
[
"this is however speculation and neither name was in general use within the organization",
"this is however speculation and neither name was in general use within the organization",
"this is however speculation and need the name was in general use within the organization",
"this is however speculation and need a name was in general use within the organization",
"this is how ever speculation and need a name was in general use within the organization"
] |
this is however speculation and neither name was in general use within the organization
|
this is however speculation and neither name was in general use within the organization.
|
this is however speculation and neither name was in general use within the organization. this is however speculation and need the name was in general use within the organization. this is however speculation and need a name was in general use within the organization. this is how ever speculation and need a name was in general use within the organization.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this is however speculation and neither name was in general use within the organization', 'this is however speculation and neither name was in general use within the organization', 'this is however speculation and need the name was in general use within the organization', 'this is however speculation and need a name was in general use within the organization', 'this is how ever speculation and need a name was in general use within the organization']
|
|
[
"the road itself is fairly straight and reasonably good repair",
"the road itself is fairly straight and reasonably good with bare",
"the road itself is fairly straight and reasonably good but bad",
"the road itself is fairly straight and reasonably good with that",
"the road itself is fairly straight and reasonably good with bad"
] |
the road itself is fairly straight and in reasonably good repair
|
the road itself is fairly straight and reasonably good repair.
|
the road itself is fairly straight and reasonably good with bare. the road itself is fairly straight and reasonably good but bad. the road itself is fairly straight and reasonably good with that. the road itself is fairly straight and reasonably good with bad.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the road itself is fairly straight and reasonably good repair', 'the road itself is fairly straight and reasonably good with bare', 'the road itself is fairly straight and reasonably good but bad', 'the road itself is fairly straight and reasonably good with that', 'the road itself is fairly straight and reasonably good with bad']
|
|
[
"a group of weavers cottages stands opposite the church",
"our group of weavers cottages stands opposite the church",
"a grip of weavers cottages stands opposite the church",
"a group of weavers cottages stands opposite the church",
"a group of weavers cottages stands opposite the church"
] |
a group of weavers cottages stands opposite the church
|
a group of weavers cottages stands opposite the church.
|
our group of weavers cottages stands opposite the church. a grip of weavers cottages stands opposite the church. a group of weavers cottages stands opposite the church. a group of weavers cottages stands opposite the church.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a group of weavers cottages stands opposite the church', 'our group of weavers cottages stands opposite the church', 'a grip of weavers cottages stands opposite the church', 'a group of weavers cottages stands opposite the church', 'a group of weavers cottages stands opposite the church']
|
|
[
"mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions",
"mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions",
"mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions",
"mechanical trauma occurs in the form of friction pressure abrasions lacerations and confusions",
"mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions"
] |
mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions
|
mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions.
|
mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions. mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions. mechanical trauma occurs in the form of friction pressure abrasions lacerations and confusions. mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions', 'mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions', 'mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions', 'mechanical trauma occurs in the form of friction pressure abrasions lacerations and confusions', 'mechanical trauma occurs in the form of friction pressure abrasions lacerations and contusions']
|
|
[
"his native birth is unknown",
"his native birth is on nine",
"his name above is unknown",
"his date of birth is on nine",
"his day the birth is on nine"
] |
his date of birth is unknown
|
his native birth is unknown.
|
his native birth is on nine. his name above is unknown. his date of birth is on nine. his day the birth is on nine.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his native birth is unknown', 'his native birth is on nine', 'his name above is unknown', 'his date of birth is on nine', 'his day the birth is on nine']
|
|
[
"several food products like canned sardines and cookies were named for the song",
"several fruit products like canned sardines and cookies were named for the song",
"several food products like cans sardines and cookies were named for the song",
"several food products like canned sardines and cookies were named for the song",
"several fruit paraks like canned sardines and cookies were named for the song"
] |
several food products like canned sardines and cookies were named for this song
|
several food products like canned sardines and cookies were named for the song.
|
several fruit products like canned sardines and cookies were named for the song. several food products like cans sardines and cookies were named for the song. several food products like canned sardines and cookies were named for the song. several fruit paraks like canned sardines and cookies were named for the song.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['several food products like canned sardines and cookies were named for the song', 'several fruit products like canned sardines and cookies were named for the song', 'several food products like cans sardines and cookies were named for the song', 'several food products like canned sardines and cookies were named for the song', 'several fruit paraks like canned sardines and cookies were named for the song']
|
|
[
"trader had two sons jettel and jonathan",
"jada had two sons jettel and jonathan",
"chudder had two sons jettel and jonathan",
"trudah had two sons jettel and jonathan",
"chudda had two sons jettel and jonathan"
] |
jada had two sons jether and jonathan
|
trader had two sons jettel and jonathan.
|
jada had two sons jettel and jonathan. chudder had two sons jettel and jonathan. trudah had two sons jettel and jonathan. chudda had two sons jettel and jonathan.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['trader had two sons jettel and jonathan', 'jada had two sons jettel and jonathan', 'chudder had two sons jettel and jonathan', 'trudah had two sons jettel and jonathan', 'chudda had two sons jettel and jonathan']
|
|
[
"kujak airport is mandatory frequency airport with an operating flight service station",
"kujok airport is mandatory frequency airport with an operating flight service station",
"kujaak airport is mandatory frequency airport with an operating flight service station",
"ku jok airport is mandatory frequency airport with an operating flight service station",
"kujok airport is mandatory frequency airport with an operating flight service station"
] |
kuujjuaq airport is a mandatory frequency airport with an operating flight service station
|
kujak airport is mandatory frequency airport with an operating flight service station.
|
kujok airport is mandatory frequency airport with an operating flight service station. kujaak airport is mandatory frequency airport with an operating flight service station. ku jok airport is mandatory frequency airport with an operating flight service station. kujok airport is mandatory frequency airport with an operating flight service station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kujak airport is mandatory frequency airport with an operating flight service station', 'kujok airport is mandatory frequency airport with an operating flight service station', 'kujaak airport is mandatory frequency airport with an operating flight service station', 'ku jok airport is mandatory frequency airport with an operating flight service station', 'kujok airport is mandatory frequency airport with an operating flight service station']
|
|
[
"someone is parasailing on a blue and yellow parasail",
"someone is parasailing on a blue and yellow parasail",
"someone is parisailing on a blue and yellow parasail",
"someone is parisailing on a blue and yellow parasail",
"someone is parasailing on a blue and yellow parasail"
] |
someone is parasailing on a blue and yellow parasail
|
someone is parasailing on a blue and yellow parasail.
|
someone is parasailing on a blue and yellow parasail. someone is parisailing on a blue and yellow parasail. someone is parisailing on a blue and yellow parasail. someone is parasailing on a blue and yellow parasail.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['someone is parasailing on a blue and yellow parasail', 'someone is parasailing on a blue and yellow parasail', 'someone is parisailing on a blue and yellow parasail', 'someone is parisailing on a blue and yellow parasail', 'someone is parasailing on a blue and yellow parasail']
|
|
[
"first was bought in richmond virginia and grew up in new york",
"first was bought in richmond virginia and grew up in new york",
"first was born in richmond virginia and grew up in new york",
"first was born in richmond virginia and grew up in new york",
"first was bought in rich mud virginia and grew up in new york"
] |
foster was born in richmond virginia and grew up in new york
|
first was bought in richmond virginia and grew up in new york.
|
first was bought in richmond virginia and grew up in new york. first was born in richmond virginia and grew up in new york. first was born in richmond virginia and grew up in new york. first was bought in rich mud virginia and grew up in new york.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['first was bought in richmond virginia and grew up in new york', 'first was bought in richmond virginia and grew up in new york', 'first was born in richmond virginia and grew up in new york', 'first was born in richmond virginia and grew up in new york', 'first was bought in rich mud virginia and grew up in new york']
|
|
[
"the son of king maharatah he became an ascetic and gained a few disciples",
"the son of king maharatha he became an ascetic and gained a few disciples",
"the son of king maharata he became an ascetic and gained a few disciples",
"the son of king maharat he became an ascetic and gained a few disciples",
"the son of king maharatah he became an ascetic and gained a few disciples"
] |
the son of king maharatha he became an ascetic and gained a few disciples
|
the son of king maharatah he became an ascetic and gained a few disciples.
|
the son of king maharatha he became an ascetic and gained a few disciples. the son of king maharata he became an ascetic and gained a few disciples. the son of king maharat he became an ascetic and gained a few disciples. the son of king maharatah he became an ascetic and gained a few disciples.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the son of king maharatah he became an ascetic and gained a few disciples', 'the son of king maharatha he became an ascetic and gained a few disciples', 'the son of king maharata he became an ascetic and gained a few disciples', 'the son of king maharat he became an ascetic and gained a few disciples', 'the son of king maharatah he became an ascetic and gained a few disciples']
|
|
[
"marosa de georgia is considered one of the most sing yellow voices in latin america",
"morosa de georgia is considered one of the most sing yellow voices in latin america",
"morosa to georgia is considered one of the most sing yellow voices in latin america",
"marosa to georgia is considered one of the most sing yellow voices in latin america",
"morosa de georgia is considered one of the most seeing yellow voices in latin america"
] |
marosa di giorgio is considered one of the most singular voices in latin america
|
marosa de georgia is considered one of the most sing yellow voices in latin america.
|
morosa de georgia is considered one of the most sing yellow voices in latin america. morosa to georgia is considered one of the most sing yellow voices in latin america. marosa to georgia is considered one of the most sing yellow voices in latin america. morosa de georgia is considered one of the most seeing yellow voices in latin america.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['marosa de georgia is considered one of the most sing yellow voices in latin america', 'morosa de georgia is considered one of the most sing yellow voices in latin america', 'morosa to georgia is considered one of the most sing yellow voices in latin america', 'marosa to georgia is considered one of the most sing yellow voices in latin america', 'morosa de georgia is considered one of the most seeing yellow voices in latin america']
|
|
[
"there were major concerns about the reliability of the vehicle",
"there were major concerns about the durability of the vehicle",
"there were major concerns about the ability of the vehicle",
"there were major concerns about the availability of the vehicle",
"there were major concerns about the mobility of the vehicle"
] |
there were major concerns about the reliability of the vehicle
|
there were major concerns about the reliability of the vehicle.
|
there were major concerns about the durability of the vehicle. there were major concerns about the ability of the vehicle. there were major concerns about the availability of the vehicle. there were major concerns about the mobility of the vehicle.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were major concerns about the reliability of the vehicle', 'there were major concerns about the durability of the vehicle', 'there were major concerns about the ability of the vehicle', 'there were major concerns about the availability of the vehicle', 'there were major concerns about the mobility of the vehicle']
|
|
[
"i have two twitter accounts one is for work",
"i have two twitter accounts one is for work",
"i have two twitter accounts one is for work",
"i have two twitter accounts one is for work",
"i have two twitter accounts one is for work"
] |
i have two twitter accounts one is for work
|
i have two twitter accounts one is for work.
|
i have two twitter accounts one is for work. i have two twitter accounts one is for work. i have two twitter accounts one is for work. i have two twitter accounts one is for work.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i have two twitter accounts one is for work', 'i have two twitter accounts one is for work', 'i have two twitter accounts one is for work', 'i have two twitter accounts one is for work', 'i have two twitter accounts one is for work']
|
|
[
"a notable case of this increased potency is found in recent primate research",
"a notable case of this increased potency is found in recent private research",
"a notable case of this increased potency is found in recent primate research",
"a notable case of this increased potency is found in recent primate research",
"a notable case of this increased potency is found in recent primate research"
] |
a notable case of this increased potency is found in recent primate research
|
a notable case of this increased potency is found in recent primate research.
|
a notable case of this increased potency is found in recent private research. a notable case of this increased potency is found in recent primate research. a notable case of this increased potency is found in recent primate research. a notable case of this increased potency is found in recent primate research.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a notable case of this increased potency is found in recent primate research', 'a notable case of this increased potency is found in recent private research', 'a notable case of this increased potency is found in recent primate research', 'a notable case of this increased potency is found in recent primate research', 'a notable case of this increased potency is found in recent primate research']
|
|
[
"his thesis advised that there was nicholas negra ponzi",
"his thesis advised that there was nicholas negoponzi",
"his thesis advised that there was nicholas negroponzi",
"his thesis abides that there was nicholas negra ponzi",
"his thesis advised that there was nicholas nagar ponzi"
] |
his thesis advisor there was nicholas negroponte
|
his thesis advised that there was nicholas negra ponzi.
|
his thesis advised that there was nicholas negoponzi. his thesis advised that there was nicholas negroponzi. his thesis abides that there was nicholas negra ponzi. his thesis advised that there was nicholas nagar ponzi.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['his thesis advised that there was nicholas negra ponzi', 'his thesis advised that there was nicholas negoponzi', 'his thesis advised that there was nicholas negroponzi', 'his thesis abides that there was nicholas negra ponzi', 'his thesis advised that there was nicholas nagar ponzi']
|
|
[
"lenzertorte is often made like small tarts or cookies in north american bakeries",
"lenser torte is often made like small torts or cookies in north american bakeries",
"lenzer torte is often made like small tarts or cookies in north american bakeries",
"lenzertorte is often made like small tots or cookies in north american bakeries",
"lenzertotte is often made like small tarts or cookies in north american bakeries"
] |
linzer torte is often made like small tarts or cookies in north american bakeries
|
lenzertorte is often made like small tarts or cookies in north american bakeries.
|
lenser torte is often made like small torts or cookies in north american bakeries. lenzer torte is often made like small tarts or cookies in north american bakeries. lenzertorte is often made like small tots or cookies in north american bakeries. lenzertotte is often made like small tarts or cookies in north american bakeries.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lenzertorte is often made like small tarts or cookies in north american bakeries', 'lenser torte is often made like small torts or cookies in north american bakeries', 'lenzer torte is often made like small tarts or cookies in north american bakeries', 'lenzertorte is often made like small tots or cookies in north american bakeries', 'lenzertotte is often made like small tarts or cookies in north american bakeries']
|
|
[
"i always peel apples before eating them",
"i always peel apples before eating them",
"i always peel apples before eating them",
"i always peel apples before eating them",
"i always peel apples before eating them"
] |
i always peel apples before eating them
|
i always peel apples before eating them.
|
i always peel apples before eating them. i always peel apples before eating them. i always peel apples before eating them. i always peel apples before eating them.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i always peel apples before eating them', 'i always peel apples before eating them', 'i always peel apples before eating them', 'i always peel apples before eating them', 'i always peel apples before eating them']
|
|
[
"the latter saying had an added karaoke section with additional linking from michael perlin",
"the latter saying had an added karaoke section with additional linking from michael palin",
"the latter saying had an added karaoke section with additional linking from michael pelland",
"the latter saying had an added karaoke section with additional linking from michael pollan",
"the latter saying had an added karaoke section with additional linking from michael perlin"
] |
the latter song had an added karaoke section with additional linking from michael palin
|
the latter saying had an added karaoke section with additional linking from michael perlin.
|
the latter saying had an added karaoke section with additional linking from michael palin. the latter saying had an added karaoke section with additional linking from michael pelland. the latter saying had an added karaoke section with additional linking from michael pollan. the latter saying had an added karaoke section with additional linking from michael perlin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the latter saying had an added karaoke section with additional linking from michael perlin', 'the latter saying had an added karaoke section with additional linking from michael palin', 'the latter saying had an added karaoke section with additional linking from michael pelland', 'the latter saying had an added karaoke section with additional linking from michael pollan', 'the latter saying had an added karaoke section with additional linking from michael perlin']
|
|
[
"the northern part is covered by bright stone forest the largest forest on the island",
"the northern part is covered by bright stone forests the largest forest on the island",
"the northern part is covered by great stone forest the largest forest on the island",
"the northern part is covered by great stone forest the largest forest on the island",
"the northern part is covered by great stone forest the largest forest on the island"
] |
the northern part is covered by brighstone forest the largest forest on the island
|
the northern part is covered by bright stone forest the largest forest on the island.
|
the northern part is covered by bright stone forests the largest forest on the island. the northern part is covered by great stone forest the largest forest on the island. the northern part is covered by great stone forest the largest forest on the island. the northern part is covered by great stone forest the largest forest on the island.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the northern part is covered by bright stone forest the largest forest on the island', 'the northern part is covered by bright stone forests the largest forest on the island', 'the northern part is covered by great stone forest the largest forest on the island', 'the northern part is covered by great stone forest the largest forest on the island', 'the northern part is covered by great stone forest the largest forest on the island']
|
|
[
"the gaston county public library has three locations in the city",
"the gaston county public library has free locations in the city",
"the guest and county public library has three locations in the city",
"the guest county public library has three locations in the city",
"the gaston county public library has free locations in the city"
] |
the gaston county public library has three locations in the city
|
the gaston county public library has three locations in the city.
|
the gaston county public library has free locations in the city. the guest and county public library has three locations in the city. the guest county public library has three locations in the city. the gaston county public library has free locations in the city.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the gaston county public library has three locations in the city', 'the gaston county public library has free locations in the city', 'the guest and county public library has three locations in the city', 'the guest county public library has three locations in the city', 'the gaston county public library has free locations in the city']
|
|
[
"the regional news show events series has a high profile in the capital region",
"the regional news show event series has a high profile in the capital region",
"the regional news show advanced seru has a high profile in the capital region",
"the regional news show advanced series has a high profile in the capital region",
"the regional news show advanced city has a high profile in the capital region"
] |
the regional news show abendschau has a high profile in the capital region
|
the regional news show events series has a high profile in the capital region.
|
the regional news show event series has a high profile in the capital region. the regional news show advanced seru has a high profile in the capital region. the regional news show advanced series has a high profile in the capital region. the regional news show advanced city has a high profile in the capital region.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the regional news show events series has a high profile in the capital region', 'the regional news show event series has a high profile in the capital region', 'the regional news show advanced seru has a high profile in the capital region', 'the regional news show advanced series has a high profile in the capital region', 'the regional news show advanced city has a high profile in the capital region']
|
|
[
"onions pickled in vinegar are eaten as a snack",
"onions pickled and vinegar are eaten as a snack",
"onions pickled in vinegar are eaten as a snack",
"onions pickled in vinegar are eaten as a snack",
"onions pickled in vinegar are eaten as a snack"
] |
onions pickled in vinegar are eaten as a snack
|
onions pickled in vinegar are eaten as a snack.
|
onions pickled and vinegar are eaten as a snack. onions pickled in vinegar are eaten as a snack. onions pickled in vinegar are eaten as a snack. onions pickled in vinegar are eaten as a snack.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['onions pickled in vinegar are eaten as a snack', 'onions pickled and vinegar are eaten as a snack', 'onions pickled in vinegar are eaten as a snack', 'onions pickled in vinegar are eaten as a snack', 'onions pickled in vinegar are eaten as a snack']
|
|
[
"nomad was claimed to be the first commercial product to incorporate relational database concepts",
"nomad was claimed to be the first commercial product to incorporate relational database concepts",
"nomad was claimed to be the first commercial product to incorporate relational database concepts",
"nomad was claimed to be the first commercial product to incorporate relational database concepts",
"no mad was claimed to be the first commercial product to incorporate relational database concepts"
] |
nomad was claimed to be the first commercial product to incorporate relational database concepts
|
nomad was claimed to be the first commercial product to incorporate relational database concepts.
|
nomad was claimed to be the first commercial product to incorporate relational database concepts. nomad was claimed to be the first commercial product to incorporate relational database concepts. nomad was claimed to be the first commercial product to incorporate relational database concepts. no mad was claimed to be the first commercial product to incorporate relational database concepts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nomad was claimed to be the first commercial product to incorporate relational database concepts', 'nomad was claimed to be the first commercial product to incorporate relational database concepts', 'nomad was claimed to be the first commercial product to incorporate relational database concepts', 'nomad was claimed to be the first commercial product to incorporate relational database concepts', 'no mad was claimed to be the first commercial product to incorporate relational database concepts']
|
|
[
"radio we are still the more popular nationwide medium then",
"radia was still the more popular nationwide medium then",
"radio we are still the more popular nationwide media and then",
"radio we are still the more popular nationwide medium then",
"radio was still the more popular nationwide medium then"
] |
radio was still the more popular nationwide medium then
|
radio we are still the more popular nationwide medium then.
|
radia was still the more popular nationwide medium then. radio we are still the more popular nationwide media and then. radio we are still the more popular nationwide medium then. radio was still the more popular nationwide medium then.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['radio we are still the more popular nationwide medium then', 'radia was still the more popular nationwide medium then', 'radio we are still the more popular nationwide media and then', 'radio we are still the more popular nationwide medium then', 'radio was still the more popular nationwide medium then']
|
|
[
"ideas are where where you at the time",
"ideas sir where were you at the time",
"ideas are where where you at the time",
"ideas sir where where you at the time",
"ideas sir where were you at the time"
] |
my dear sir where were you at the time
|
ideas are where where you at the time.
|
ideas sir where were you at the time. ideas are where where you at the time. ideas sir where where you at the time. ideas sir where were you at the time.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['ideas are where where you at the time', 'ideas sir where were you at the time', 'ideas are where where you at the time', 'ideas sir where where you at the time', 'ideas sir where were you at the time']
|
|
[
"some time after the incident henley retired",
"sometime after the incident henley retired",
"some time after the incident hen lee retired",
"some time after the incident henley retired",
"some time after the incident hindley retired"
] |
sometime after the incident hindley retired
|
some time after the incident henley retired.
|
sometime after the incident henley retired. some time after the incident hen lee retired. some time after the incident henley retired. some time after the incident hindley retired.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some time after the incident henley retired', 'sometime after the incident henley retired', 'some time after the incident hen lee retired', 'some time after the incident henley retired', 'some time after the incident hindley retired']
|
|
[
"there are two genera each containing two species",
"there are two genera each containing two species",
"there are two genera each containing two species",
"there are two genera each containing two species",
"there are two genera each containing two species"
] |
there are two genera each containing two species
|
there are two genera each containing two species.
|
there are two genera each containing two species. there are two genera each containing two species. there are two genera each containing two species. there are two genera each containing two species.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are two genera each containing two species', 'there are two genera each containing two species', 'there are two genera each containing two species', 'there are two genera each containing two species', 'there are two genera each containing two species']
|
|
[
"the sound co exist with other retroflections in our region dialects",
"the sound co exist with other retroflections in the region dialects",
"the sound coexist with other retroflections in our region dialects",
"the sound coexist with other retroflections in the region dialects",
"the sound co exist with other retroflexions in our region dialects"
] |
the sound coexists with other retroflexions in norwegian dialects
|
the sound co exist with other retroflections in our region dialects.
|
the sound co exist with other retroflections in the region dialects. the sound coexist with other retroflections in our region dialects. the sound coexist with other retroflections in the region dialects. the sound co exist with other retroflexions in our region dialects.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the sound co exist with other retroflections in our region dialects', 'the sound co exist with other retroflections in the region dialects', 'the sound coexist with other retroflections in our region dialects', 'the sound coexist with other retroflections in the region dialects', 'the sound co exist with other retroflexions in our region dialects']
|
|
[
"must have been settled out of court or dismissed for procedural reasons",
"must have been settled out of court or dismissed for procedural reasons",
"most have been settled out of court or dismissed for procedural reasons",
"most have been settled out of court or dismissed for procedural reasons",
"most have been settled out of court or dismissed for procedural reasons"
] |
most have been settled out of court or dismissed for procedural reasons
|
must have been settled out of court or dismissed for procedural reasons.
|
must have been settled out of court or dismissed for procedural reasons. most have been settled out of court or dismissed for procedural reasons. most have been settled out of court or dismissed for procedural reasons. most have been settled out of court or dismissed for procedural reasons.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['must have been settled out of court or dismissed for procedural reasons', 'must have been settled out of court or dismissed for procedural reasons', 'most have been settled out of court or dismissed for procedural reasons', 'most have been settled out of court or dismissed for procedural reasons', 'most have been settled out of court or dismissed for procedural reasons']
|
|
[
"given the multiple overlapping scenes it appears to be a narrative",
"given the multiple overlapping scenes it appears to be a narrative",
"given the multiple overlapping scenes it appears to be a narrative",
"given the multiple overlapping scenes it appears to be a narrative",
"given the multiple overlapping scenes it appears to be a narrative"
] |
given the multiple overlapping scenes it appears to be a narrative
|
given the multiple overlapping scenes it appears to be a narrative.
|
given the multiple overlapping scenes it appears to be a narrative. given the multiple overlapping scenes it appears to be a narrative. given the multiple overlapping scenes it appears to be a narrative. given the multiple overlapping scenes it appears to be a narrative.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['given the multiple overlapping scenes it appears to be a narrative', 'given the multiple overlapping scenes it appears to be a narrative', 'given the multiple overlapping scenes it appears to be a narrative', 'given the multiple overlapping scenes it appears to be a narrative', 'given the multiple overlapping scenes it appears to be a narrative']
|
|
[
"most were cut down or trapped in no man is land",
"most were cut down or trapped in no man is land",
"most were cut down or trapped in no man is land",
"most were cut down or trapped in no man is land",
"most were cut down or trapped in no man is land"
] |
most were cut down or trapped in no man is land
|
most were cut down or trapped in no man is land.
|
most were cut down or trapped in no man is land. most were cut down or trapped in no man is land. most were cut down or trapped in no man is land. most were cut down or trapped in no man is land.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most were cut down or trapped in no man is land', 'most were cut down or trapped in no man is land', 'most were cut down or trapped in no man is land', 'most were cut down or trapped in no man is land', 'most were cut down or trapped in no man is land']
|
|
[
"the public and the czech republic generally supports the legality of abortion",
"the public and the czech republic generally supports the legality of a portion",
"the public and the czech republic generally supports the legality of a portion",
"the public and the czech republic generally supports the legality of a portion",
"the public and the czech republic generally supports the legality of a portion"
] |
the public in the czech republic generally supports the legality of abortion
|
the public and the czech republic generally supports the legality of abortion.
|
the public and the czech republic generally supports the legality of a portion. the public and the czech republic generally supports the legality of a portion. the public and the czech republic generally supports the legality of a portion. the public and the czech republic generally supports the legality of a portion.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the public and the czech republic generally supports the legality of abortion', 'the public and the czech republic generally supports the legality of a portion', 'the public and the czech republic generally supports the legality of a portion', 'the public and the czech republic generally supports the legality of a portion', 'the public and the czech republic generally supports the legality of a portion']
|
|
[
"unlike most store bought specimens it has a relatively complete skull",
"unlike most sauropods specimens it has a relatively complete skull",
"unlike most store bought specimens it has a relatively complete skull",
"unlike most soreboard specimens it has a relatively complete skull",
"unlike most store bought specimens it has a relatively complete skull"
] |
unlike most sauropod specimens it has a relatively complete skull
|
unlike most store bought specimens it has a relatively complete skull.
|
unlike most sauropods specimens it has a relatively complete skull. unlike most store bought specimens it has a relatively complete skull. unlike most soreboard specimens it has a relatively complete skull. unlike most store bought specimens it has a relatively complete skull.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unlike most store bought specimens it has a relatively complete skull', 'unlike most sauropods specimens it has a relatively complete skull', 'unlike most store bought specimens it has a relatively complete skull', 'unlike most soreboard specimens it has a relatively complete skull', 'unlike most store bought specimens it has a relatively complete skull']
|
|
[
"it is drier than casket premium legend although they are similar",
"it is drier than casket premium legend all the way similar",
"it is dry with a cascade frame of legend all the way similar",
"it is dry with a cascade frame of legend although they are similar",
"it is dried and cascading spring of legend all the way similar"
] |
it is drier than cascade premium lager although very similar
|
it is drier than casket premium legend although they are similar.
|
it is drier than casket premium legend all the way similar. it is dry with a cascade frame of legend all the way similar. it is dry with a cascade frame of legend although they are similar. it is dried and cascading spring of legend all the way similar.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is drier than casket premium legend although they are similar', 'it is drier than casket premium legend all the way similar', 'it is dry with a cascade frame of legend all the way similar', 'it is dry with a cascade frame of legend although they are similar', 'it is dried and cascading spring of legend all the way similar']
|
|
[
"the area within oslo municipality is very into two parts",
"the area within oslo municipality is very into two parts",
"the area within oslo municipality is very in the two parts",
"the area within oslo municipality is right in the two parts",
"the area within oslo municipality is where in the two parts"
] |
the area within oslo municipality is divided into two parts
|
the area within oslo municipality is very into two parts.
|
the area within oslo municipality is very into two parts. the area within oslo municipality is very in the two parts. the area within oslo municipality is right in the two parts. the area within oslo municipality is where in the two parts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the area within oslo municipality is very into two parts', 'the area within oslo municipality is very into two parts', 'the area within oslo municipality is very in the two parts', 'the area within oslo municipality is right in the two parts', 'the area within oslo municipality is where in the two parts']
|
|
[
"according to bosanias she had an oracle on the acropolis at magara",
"according to bosonyus she had an oracle on the acropolis at magara",
"according to bosnius she had an oracle on the acropolis at magara",
"according to bosania is she had an oracle on the acropolis at magara",
"according to bosnia is she had an oracle on the acropolis at magara"
] |
according to pausanias she had an oracle on the acropolis at megara
|
according to bosanias she had an oracle on the acropolis at magara.
|
according to bosonyus she had an oracle on the acropolis at magara. according to bosnius she had an oracle on the acropolis at magara. according to bosania is she had an oracle on the acropolis at magara. according to bosnia is she had an oracle on the acropolis at magara.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to bosanias she had an oracle on the acropolis at magara', 'according to bosonyus she had an oracle on the acropolis at magara', 'according to bosnius she had an oracle on the acropolis at magara', 'according to bosania is she had an oracle on the acropolis at magara', 'according to bosnia is she had an oracle on the acropolis at magara']
|
|
[
"the monk fight scene was filmed at the courtyard in different guards saint nicholas",
"the monk fight scene was filmed at the courtyard in different guards saint nicholas",
"the monk fight scene was filmed at the courtyard in different guards saint nicholas",
"demonic fight scene was filmed at the courtyard in different guards saint nicholas",
"the monk fight scene was filmed at the courtyard in different gods saint nicholas"
] |
the monk fight scene was filmed at a courtyard in dyffryn gardens saint nicholas
|
the monk fight scene was filmed at the courtyard in different guards saint nicholas.
|
the monk fight scene was filmed at the courtyard in different guards saint nicholas. the monk fight scene was filmed at the courtyard in different guards saint nicholas. demonic fight scene was filmed at the courtyard in different guards saint nicholas. the monk fight scene was filmed at the courtyard in different gods saint nicholas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the monk fight scene was filmed at the courtyard in different guards saint nicholas', 'the monk fight scene was filmed at the courtyard in different guards saint nicholas', 'the monk fight scene was filmed at the courtyard in different guards saint nicholas', 'demonic fight scene was filmed at the courtyard in different guards saint nicholas', 'the monk fight scene was filmed at the courtyard in different gods saint nicholas']
|
|
[
"she received alterations to strengthen herself before she left the building yard",
"she received alterations to strengthen her cell before she left the building yard",
"she received alterations to strengthen herself before she left the building yard",
"she received alterations to strengthen her soul before she left the building yard",
"she received alterations to strengthen her soul before she left the building yard"
] |
she received alterations to strengthen her sail before she left the building yard
|
she received alterations to strengthen herself before she left the building yard.
|
she received alterations to strengthen her cell before she left the building yard. she received alterations to strengthen herself before she left the building yard. she received alterations to strengthen her soul before she left the building yard. she received alterations to strengthen her soul before she left the building yard.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['she received alterations to strengthen herself before she left the building yard', 'she received alterations to strengthen her cell before she left the building yard', 'she received alterations to strengthen herself before she left the building yard', 'she received alterations to strengthen her soul before she left the building yard', 'she received alterations to strengthen her soul before she left the building yard']
|
|
[
"shrank was the first order to use a genus name triops",
"shrank was the first order to use a genus name triops",
"shrank was the first order to use a genus name triops",
"shrank was the first order to use a genus name triops",
"shrank was the first order to use a gina is name triops"
] |
shrank was the first author to use the genus name triops
|
shrank was the first order to use a genus name triops.
|
shrank was the first order to use a genus name triops. shrank was the first order to use a genus name triops. shrank was the first order to use a genus name triops. shrank was the first order to use a gina is name triops.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shrank was the first order to use a genus name triops', 'shrank was the first order to use a genus name triops', 'shrank was the first order to use a genus name triops', 'shrank was the first order to use a genus name triops', 'shrank was the first order to use a gina is name triops']
|
|
[
"location goes market socialism economy has significant support in rural areas of the country",
"location goes market socialism economy has significant support in rural areas of the country",
"blockchain goes market socialism economy has significant support in rural areas of the country",
"blockchain goes market socialism economy has significant support in rural areas of the country",
"lukashenko is market socialism economy has significant support in rural areas of the country"
] |
lukashenko is market socialism economy has significant support in rural areas of the country
|
location goes market socialism economy has significant support in rural areas of the country.
|
location goes market socialism economy has significant support in rural areas of the country. blockchain goes market socialism economy has significant support in rural areas of the country. blockchain goes market socialism economy has significant support in rural areas of the country. lukashenko is market socialism economy has significant support in rural areas of the country.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['location goes market socialism economy has significant support in rural areas of the country', 'location goes market socialism economy has significant support in rural areas of the country', 'blockchain goes market socialism economy has significant support in rural areas of the country', 'blockchain goes market socialism economy has significant support in rural areas of the country', 'lukashenko is market socialism economy has significant support in rural areas of the country']
|
|
[
"thirty men were arrested and charged with terrorism by macedonian authorities",
"thirty men were arrested and charged with terrorism by macedonian authorities",
"thirty men were arrested and charged with terrorism by macedonia and authorities",
"thirty men were arrested and charged with terrorism by macedonian authorities",
"thirty men were arrested and charged with terrorism by macedonia and authorities"
] |
thirty men were arrested and charged with terrorism by macedonian authorities
|
thirty men were arrested and charged with terrorism by macedonian authorities.
|
thirty men were arrested and charged with terrorism by macedonian authorities. thirty men were arrested and charged with terrorism by macedonia and authorities. thirty men were arrested and charged with terrorism by macedonian authorities. thirty men were arrested and charged with terrorism by macedonia and authorities.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['thirty men were arrested and charged with terrorism by macedonian authorities', 'thirty men were arrested and charged with terrorism by macedonian authorities', 'thirty men were arrested and charged with terrorism by macedonia and authorities', 'thirty men were arrested and charged with terrorism by macedonian authorities', 'thirty men were arrested and charged with terrorism by macedonia and authorities']
|
|
[
"they wanted to establish sharia law in bangladesh",
"they wanted to establish sharia law in bangladesh",
"they wandered to establish sharia law in bangladesh",
"they wandered to establish sharia law in bangladesh",
"they wanted to establish sharia law in bangladesh"
] |
they wanted to establish sharia law in bangladesh
|
they wanted to establish sharia law in bangladesh.
|
they wanted to establish sharia law in bangladesh. they wandered to establish sharia law in bangladesh. they wandered to establish sharia law in bangladesh. they wanted to establish sharia law in bangladesh.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['they wanted to establish sharia law in bangladesh', 'they wanted to establish sharia law in bangladesh', 'they wandered to establish sharia law in bangladesh', 'they wandered to establish sharia law in bangladesh', 'they wanted to establish sharia law in bangladesh']
|
|
[
"both said that his best ideas usually came to him in a flash",
"boss said that his best ideas usually came to him in a flash",
"both said that his best ideas usually came to him in flash",
"both said that his best ideas usually came to him in flash",
"boat said that his best ideas usually came to him in a flash"
] |
bose said that his best ideas usually came to him in a flash
|
both said that his best ideas usually came to him in a flash.
|
boss said that his best ideas usually came to him in a flash. both said that his best ideas usually came to him in flash. both said that his best ideas usually came to him in flash. boat said that his best ideas usually came to him in a flash.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['both said that his best ideas usually came to him in a flash', 'boss said that his best ideas usually came to him in a flash', 'both said that his best ideas usually came to him in flash', 'both said that his best ideas usually came to him in flash', 'boat said that his best ideas usually came to him in a flash']
|
|
[
"the following is an incomplete listing of music from so weird",
"the following is an incomplete listing of music from so weird",
"the following is an incomplete listing of music from so weird",
"the following is an incomplete listing of music from so weird",
"the following is an incomplete listing of music from so weird"
] |
the following is an incomplete listing of music from so weird
|
the following is an incomplete listing of music from so weird.
|
the following is an incomplete listing of music from so weird. the following is an incomplete listing of music from so weird. the following is an incomplete listing of music from so weird. the following is an incomplete listing of music from so weird.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following is an incomplete listing of music from so weird', 'the following is an incomplete listing of music from so weird', 'the following is an incomplete listing of music from so weird', 'the following is an incomplete listing of music from so weird', 'the following is an incomplete listing of music from so weird']
|
|
[
"the muslim brotherhoods ideas have in turn many muslims worldwide",
"the muslim brotherhoods ideas have influenced many muslims worldwide",
"the muslim brotherhoods ideas are in turn many muslims worldwide",
"the muslim brotherhoods ideas are in turns many muslims worldwide",
"the muslim brotherhoods ideas have in turn many muslims worldwide"
] |
the muslim brotherhood is ideas have influenced many muslims worldwide
|
the muslim brotherhoods ideas have in turn many muslims worldwide.
|
the muslim brotherhoods ideas have influenced many muslims worldwide. the muslim brotherhoods ideas are in turn many muslims worldwide. the muslim brotherhoods ideas are in turns many muslims worldwide. the muslim brotherhoods ideas have in turn many muslims worldwide.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the muslim brotherhoods ideas have in turn many muslims worldwide', 'the muslim brotherhoods ideas have influenced many muslims worldwide', 'the muslim brotherhoods ideas are in turn many muslims worldwide', 'the muslim brotherhoods ideas are in turns many muslims worldwide', 'the muslim brotherhoods ideas have in turn many muslims worldwide']
|
|
[
"reloq earned a reputation as a shopwitter sometimes a survey politician",
"reloq earned the reputation as a shopwitter sometimes a survey politician",
"relock earned a reputation as a shopwitter sometimes a survey politician",
"reloq earned a reputation as a shopwitter sometimes a surveyed politician",
"reloq earned the reputation as a shopwitter sometimes a surveyed politician"
] |
willoch earned a reputation as a sharp witted sometimes acerbic politician
|
reloq earned a reputation as a shopwitter sometimes a survey politician.
|
reloq earned the reputation as a shopwitter sometimes a survey politician. relock earned a reputation as a shopwitter sometimes a survey politician. reloq earned a reputation as a shopwitter sometimes a surveyed politician. reloq earned the reputation as a shopwitter sometimes a surveyed politician.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['reloq earned a reputation as a shopwitter sometimes a survey politician', 'reloq earned the reputation as a shopwitter sometimes a survey politician', 'relock earned a reputation as a shopwitter sometimes a survey politician', 'reloq earned a reputation as a shopwitter sometimes a surveyed politician', 'reloq earned the reputation as a shopwitter sometimes a surveyed politician']
|
|
[
"he tells lothar and kotham is not for sale and wants him to live",
"he tells lothar and gautam is not for sale and wants him to live",
"it is lothar and gautam is not for sale and wants him to live",
"it is lothar and kotham is not for sale and wants him to live",
"he tells lothar and kotham is not for sale and runs him to live"
] |
he tells luthor that gotham is not for sale and warns him to leave
|
he tells lothar and kotham is not for sale and wants him to live.
|
he tells lothar and gautam is not for sale and wants him to live. it is lothar and gautam is not for sale and wants him to live. it is lothar and kotham is not for sale and wants him to live. he tells lothar and kotham is not for sale and runs him to live.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he tells lothar and kotham is not for sale and wants him to live', 'he tells lothar and gautam is not for sale and wants him to live', 'it is lothar and gautam is not for sale and wants him to live', 'it is lothar and kotham is not for sale and wants him to live', 'he tells lothar and kotham is not for sale and runs him to live']
|
|
[
"the administrator can turn this feature on to allow access of emails via browser",
"the administrator can turn this feature on to allow access of emails via browser",
"the administrator can turn the switch around to allow access of emails via browser",
"the administrator can turn the switcher on to allow access of emails via browser",
"the administrator can turn this feature onto allow access of emails via browser"
] |
the administrator can turn this feature on to allow access of emails via browser
|
the administrator can turn this feature on to allow access of emails via browser.
|
the administrator can turn this feature on to allow access of emails via browser. the administrator can turn the switch around to allow access of emails via browser. the administrator can turn the switcher on to allow access of emails via browser. the administrator can turn this feature onto allow access of emails via browser.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the administrator can turn this feature on to allow access of emails via browser', 'the administrator can turn this feature on to allow access of emails via browser', 'the administrator can turn the switch around to allow access of emails via browser', 'the administrator can turn the switcher on to allow access of emails via browser', 'the administrator can turn this feature onto allow access of emails via browser']
|
|
[
"flexibility and variety were two important themes in his work with the orchestra",
"flexibility and variety were two important themes in his work with the orchestra",
"flexibility and variety were two important themes in his work with the orchestra",
"flexibility and variety were two important themes in his work with the orchestra",
"flexibility and variety were two important themes in his work with the orchestra"
] |
flexibility and variety were two important themes in his work with the orchestra
|
flexibility and variety were two important themes in his work with the orchestra.
|
flexibility and variety were two important themes in his work with the orchestra. flexibility and variety were two important themes in his work with the orchestra. flexibility and variety were two important themes in his work with the orchestra. flexibility and variety were two important themes in his work with the orchestra.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['flexibility and variety were two important themes in his work with the orchestra', 'flexibility and variety were two important themes in his work with the orchestra', 'flexibility and variety were two important themes in his work with the orchestra', 'flexibility and variety were two important themes in his work with the orchestra', 'flexibility and variety were two important themes in his work with the orchestra']
|
|
[
"it really is a definitive rock guitar solo",
"it really is a definite rock guitar solo",
"it really is a detonative rock guitar solo",
"it really is a definitive rock guitar solo",
"it really is a definitive rock guitar solo"
] |
it really is the definitive rock guitar solo
|
it really is a definitive rock guitar solo.
|
it really is a definite rock guitar solo. it really is a detonative rock guitar solo. it really is a definitive rock guitar solo. it really is a definitive rock guitar solo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it really is a definitive rock guitar solo', 'it really is a definite rock guitar solo', 'it really is a detonative rock guitar solo', 'it really is a definitive rock guitar solo', 'it really is a definitive rock guitar solo']
|
|
[
"the party is close due to the presence of a sea monster",
"the party is close to the presence of a sea monster",
"the parties close view the presence of a sea monster",
"the party is close build the presence of a sea monster",
"the parties close view the presence of a sea monster"
] |
the park is closed due to the presence of a sea monster
|
the party is close due to the presence of a sea monster.
|
the party is close to the presence of a sea monster. the parties close view the presence of a sea monster. the party is close build the presence of a sea monster. the parties close view the presence of a sea monster.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the party is close due to the presence of a sea monster', 'the party is close to the presence of a sea monster', 'the parties close view the presence of a sea monster', 'the party is close build the presence of a sea monster', 'the parties close view the presence of a sea monster']
|
|
[
"this confederated national conference is the highest decision making body in the solidarity federation",
"this confederated national conference is the highest decision making body in the solidarity federation",
"this confederated national conference is the highest decision making body in the solidarity federation",
"this confederated national conference is the highest decision making body in the solidarity federation",
"this confederated national conference is the highest decision making body in the solidarity federation"
] |
this confederated national conference is the highest decision making body in the solidarity federation
|
this confederated national conference is the highest decision making body in the solidarity federation.
|
this confederated national conference is the highest decision making body in the solidarity federation. this confederated national conference is the highest decision making body in the solidarity federation. this confederated national conference is the highest decision making body in the solidarity federation. this confederated national conference is the highest decision making body in the solidarity federation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this confederated national conference is the highest decision making body in the solidarity federation', 'this confederated national conference is the highest decision making body in the solidarity federation', 'this confederated national conference is the highest decision making body in the solidarity federation', 'this confederated national conference is the highest decision making body in the solidarity federation', 'this confederated national conference is the highest decision making body in the solidarity federation']
|
|
[
"the club is considered to be one of the best clubs in tunisia",
"the club is considered to be one of the best clubs in tunisia",
"the club is considered to be one of the best clubs in tanesha",
"the club is considered to be one of the best clubs in tunisia",
"the club is considered to be one of the best clubs in tunisia"
] |
the club is considered to be one of the best clubs in tunisia
|
the club is considered to be one of the best clubs in tunisia.
|
the club is considered to be one of the best clubs in tunisia. the club is considered to be one of the best clubs in tanesha. the club is considered to be one of the best clubs in tunisia. the club is considered to be one of the best clubs in tunisia.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the club is considered to be one of the best clubs in tunisia', 'the club is considered to be one of the best clubs in tunisia', 'the club is considered to be one of the best clubs in tanesha', 'the club is considered to be one of the best clubs in tunisia', 'the club is considered to be one of the best clubs in tunisia']
|
|
[
"sue and let us gloria make the mistake of using unrefregulated cream",
"sue and let us gloria make the mistake of using unrefrigerated cream",
"sue and let us gloria make the mistake of using unrefregurated cream",
"sue and let us gloria make the mistake of using unrefrigerated cream",
"sue and let us gloria make the mistake of using unrefregulated cream"
] |
sue ann lets gloria make the mistake of using unrefrigerated cream
|
sue and let us gloria make the mistake of using unrefregulated cream.
|
sue and let us gloria make the mistake of using unrefrigerated cream. sue and let us gloria make the mistake of using unrefregurated cream. sue and let us gloria make the mistake of using unrefrigerated cream. sue and let us gloria make the mistake of using unrefregulated cream.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sue and let us gloria make the mistake of using unrefregulated cream', 'sue and let us gloria make the mistake of using unrefrigerated cream', 'sue and let us gloria make the mistake of using unrefregurated cream', 'sue and let us gloria make the mistake of using unrefrigerated cream', 'sue and let us gloria make the mistake of using unrefregulated cream']
|
|
[
"three councilors are elected to represent the high nalt word on red beach london power of council",
"three councilors are elected to represent the high nalt world on red beach london power of council",
"three councilors are elected to represent the high nulled world on red beach london power of council",
"three councilors are elected to represent the high nulled word on red beach london power of council",
"three councilors are elected to represent the high nulled word on red beach london power of council"
] |
three councilors are elected to represent the hainault ward on redbridge london borough council
|
three councilors are elected to represent the high nalt word on red beach london power of council.
|
three councilors are elected to represent the high nalt world on red beach london power of council. three councilors are elected to represent the high nulled world on red beach london power of council. three councilors are elected to represent the high nulled word on red beach london power of council. three councilors are elected to represent the high nulled word on red beach london power of council.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three councilors are elected to represent the high nalt word on red beach london power of council', 'three councilors are elected to represent the high nalt world on red beach london power of council', 'three councilors are elected to represent the high nulled world on red beach london power of council', 'three councilors are elected to represent the high nulled word on red beach london power of council', 'three councilors are elected to represent the high nulled word on red beach london power of council']
|
|
[
"the guinness in ritia was named in his honor",
"the guinness in ritya was named in his honor",
"the guinness enretia was named in his honor",
"the guinness in ritia was named in zona",
"the guinness eretia was named in his honor"
] |
the genus ehretia was named in his honor
|
the guinness in ritia was named in his honor.
|
the guinness in ritya was named in his honor. the guinness enretia was named in his honor. the guinness in ritia was named in zona. the guinness eretia was named in his honor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the guinness in ritia was named in his honor', 'the guinness in ritya was named in his honor', 'the guinness enretia was named in his honor', 'the guinness in ritia was named in zona', 'the guinness eretia was named in his honor']
|
|
[
"he was by far the youngest boy in his class and was intensely unhappy",
"he was by far the youngest boy in his class and was intensely unhappy",
"he was bifiled the youngest boy in his class and was intensely unhappy",
"he was by far the youngest boy in his class and was intensely unhappy",
"he was bifiled the youngest boy in his class and was intensely unhappy"
] |
he was by far the youngest boy in his class and was intensely unhappy
|
he was by far the youngest boy in his class and was intensely unhappy.
|
he was by far the youngest boy in his class and was intensely unhappy. he was bifiled the youngest boy in his class and was intensely unhappy. he was by far the youngest boy in his class and was intensely unhappy. he was bifiled the youngest boy in his class and was intensely unhappy.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was by far the youngest boy in his class and was intensely unhappy', 'he was by far the youngest boy in his class and was intensely unhappy', 'he was bifiled the youngest boy in his class and was intensely unhappy', 'he was by far the youngest boy in his class and was intensely unhappy', 'he was bifiled the youngest boy in his class and was intensely unhappy']
|
|
[
"after he retired he devoted himself to polo",
"after he retired he devoted himself to polo",
"after he retired he devoted himself to polo",
"after he retired he devoted himself to polo",
"after he retired he devoted himself to polo"
] |
after he retired he devoted himself to polo
|
after he retired he devoted himself to polo.
|
after he retired he devoted himself to polo. after he retired he devoted himself to polo. after he retired he devoted himself to polo. after he retired he devoted himself to polo.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after he retired he devoted himself to polo', 'after he retired he devoted himself to polo', 'after he retired he devoted himself to polo', 'after he retired he devoted himself to polo', 'after he retired he devoted himself to polo']
|
|
[
"but only for humans as part of the national youth jazz orchestra",
"but only for homeless as part of the national youth jazz orchestra",
"but only for humans as part of the national youth jazz orchestra",
"but only for homeowners as part of the national youth jazz orchestra",
"but i leave a comment as part of the national youth jazz orchestra"
] |
her early performances were as part of the national youth jazz orchestra
|
but only for humans as part of the national youth jazz orchestra.
|
but only for homeless as part of the national youth jazz orchestra. but only for humans as part of the national youth jazz orchestra. but only for homeowners as part of the national youth jazz orchestra. but i leave a comment as part of the national youth jazz orchestra.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but only for humans as part of the national youth jazz orchestra', 'but only for homeless as part of the national youth jazz orchestra', 'but only for humans as part of the national youth jazz orchestra', 'but only for homeowners as part of the national youth jazz orchestra', 'but i leave a comment as part of the national youth jazz orchestra']
|
|
[
"this begins a rivalry that would last for decades",
"this begins a rivalry that could last for decades",
"this begins rivalry that would last for decades",
"this begins rivalry that could last for decades",
"this begins a rivalry that would last for decades"
] |
this begins a rivalry that would last for decades
|
this begins a rivalry that would last for decades.
|
this begins a rivalry that could last for decades. this begins rivalry that would last for decades. this begins rivalry that could last for decades. this begins a rivalry that would last for decades.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['this begins a rivalry that would last for decades', 'this begins a rivalry that could last for decades', 'this begins rivalry that would last for decades', 'this begins rivalry that could last for decades', 'this begins a rivalry that would last for decades']
|
|
[
"the main shops were located in brookville pennsylvania",
"the main shops were located in brookfield pennsylvania",
"the main shops were located in brookfill pennsylvania",
"the main shops were located in brookfeel pennsylvania",
"the main shops were located in brookfield pennsylvania"
] |
the main shops were located in brookville pennsylvania
|
the main shops were located in brookville pennsylvania.
|
the main shops were located in brookfield pennsylvania. the main shops were located in brookfill pennsylvania. the main shops were located in brookfeel pennsylvania. the main shops were located in brookfield pennsylvania.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the main shops were located in brookville pennsylvania', 'the main shops were located in brookfield pennsylvania', 'the main shops were located in brookfill pennsylvania', 'the main shops were located in brookfeel pennsylvania', 'the main shops were located in brookfield pennsylvania']
|
|
[
"a keepsake was often printed to commemorate the occasion",
"a cube sac was often printed to commemorate the occasion",
"a cubesake was often printed to commemorate the occasion",
"a keepsake was often printed to commemorate the occasion",
"a cube sake was often printed to commemorate the occasion"
] |
a keepsake was often printed to commemorate the occasion
|
a keepsake was often printed to commemorate the occasion.
|
a cube sac was often printed to commemorate the occasion. a cubesake was often printed to commemorate the occasion. a keepsake was often printed to commemorate the occasion. a cube sake was often printed to commemorate the occasion.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a keepsake was often printed to commemorate the occasion', 'a cube sac was often printed to commemorate the occasion', 'a cubesake was often printed to commemorate the occasion', 'a keepsake was often printed to commemorate the occasion', 'a cube sake was often printed to commemorate the occasion']
|
|
[
"the riverpans shut the spot from the peninsula and dealing with kansas city downtown airport",
"the riverpans shut the spot from the peninsula and dealing with kansas city down down their road",
"the riverbans shut the spot from the peninsula and dealing with kansas city downtown airport",
"the riverbans shut the spot from the peninsula and dealing with kansas city down down their road",
"the riverbans shut the spot from the peninsula and dealing with kansas city down down their boat"
] |
the river band is sharpest part forms a peninsula containing the kansas city downtown airport
|
the riverpans shut the spot from the peninsula and dealing with kansas city downtown airport.
|
the riverpans shut the spot from the peninsula and dealing with kansas city down down their road. the riverbans shut the spot from the peninsula and dealing with kansas city downtown airport. the riverbans shut the spot from the peninsula and dealing with kansas city down down their road. the riverbans shut the spot from the peninsula and dealing with kansas city down down their boat.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the riverpans shut the spot from the peninsula and dealing with kansas city downtown airport', 'the riverpans shut the spot from the peninsula and dealing with kansas city down down their road', 'the riverbans shut the spot from the peninsula and dealing with kansas city downtown airport', 'the riverbans shut the spot from the peninsula and dealing with kansas city down down their road', 'the riverbans shut the spot from the peninsula and dealing with kansas city down down their boat']
|
|
[
"the current member for black town is john robinson former opposition leader",
"the current member for black town is john proverson former opposition leader",
"the current member for black town is john robinson former opposition leader",
"the current member for black town is john provisant former opposition leader",
"the current member for black town is john robertson former opposition leader"
] |
the current member for blacktown is john robertson former opposition leader
|
the current member for black town is john robinson former opposition leader.
|
the current member for black town is john proverson former opposition leader. the current member for black town is john robinson former opposition leader. the current member for black town is john provisant former opposition leader. the current member for black town is john robertson former opposition leader.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the current member for black town is john robinson former opposition leader', 'the current member for black town is john proverson former opposition leader', 'the current member for black town is john robinson former opposition leader', 'the current member for black town is john provisant former opposition leader', 'the current member for black town is john robertson former opposition leader']
|
|
[
"it is located along scotts road and is an underground station",
"it is located along scotts road and is an underground station",
"it is located along scotts road and is an underground station",
"it is located along scotts road and is an underground station",
"it is located along scotts road and is an underground station"
] |
it is located along scotts road and is an underground station
|
it is located along scotts road and is an underground station.
|
it is located along scotts road and is an underground station. it is located along scotts road and is an underground station. it is located along scotts road and is an underground station. it is located along scotts road and is an underground station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it is located along scotts road and is an underground station', 'it is located along scotts road and is an underground station', 'it is located along scotts road and is an underground station', 'it is located along scotts road and is an underground station', 'it is located along scotts road and is an underground station']
|
|
[
"he has also worked on pieces that implemented the earth is magnetic thought using load stones",
"he has also worked on pieces that implemented the earth is magnetic field using load stones",
"here is also worked on pieces that implemented the earth is magnetic thought using load stones",
"he has also worked on pieces that implemented the earth is magnetic thought using load stones",
"here is also worked on pieces that implemented the earth is magnetic field using load stones"
] |
he has also worked on pieces that implemented the earth is magnetic field using lodestones
|
he has also worked on pieces that implemented the earth is magnetic thought using load stones.
|
he has also worked on pieces that implemented the earth is magnetic field using load stones. here is also worked on pieces that implemented the earth is magnetic thought using load stones. he has also worked on pieces that implemented the earth is magnetic thought using load stones. here is also worked on pieces that implemented the earth is magnetic field using load stones.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he has also worked on pieces that implemented the earth is magnetic thought using load stones', 'he has also worked on pieces that implemented the earth is magnetic field using load stones', 'here is also worked on pieces that implemented the earth is magnetic thought using load stones', 'he has also worked on pieces that implemented the earth is magnetic thought using load stones', 'here is also worked on pieces that implemented the earth is magnetic field using load stones']
|
|
[
"he also has a sound knowledge of spanish",
"he also has a sound knowledge of spanish",
"he also has a sound knowledge of spanish",
"he also has a sound knowledge of spanish",
"he also has a sound knowledge of spanish"
] |
he also has a sound knowledge of spanish
|
he also has a sound knowledge of spanish.
|
he also has a sound knowledge of spanish. he also has a sound knowledge of spanish. he also has a sound knowledge of spanish. he also has a sound knowledge of spanish.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he also has a sound knowledge of spanish', 'he also has a sound knowledge of spanish', 'he also has a sound knowledge of spanish', 'he also has a sound knowledge of spanish', 'he also has a sound knowledge of spanish']
|
|
[
"other notable members include morgan holmes max beck howard devore and alice dregor",
"other notable members include morgan holmes max beck howard devore and alice dregor",
"other notable members include morgan holmes max beck howard devora and alice dregor",
"other notable members include morgan holmes max beck howard devore and alice dregor",
"other notable members include morgan holmes max beck howard devore and alice dregor"
] |
other notable members included morgan holmes max beck howard devore and alice dreger
|
other notable members include morgan holmes max beck howard devore and alice dregor.
|
other notable members include morgan holmes max beck howard devore and alice dregor. other notable members include morgan holmes max beck howard devora and alice dregor. other notable members include morgan holmes max beck howard devore and alice dregor. other notable members include morgan holmes max beck howard devore and alice dregor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['other notable members include morgan holmes max beck howard devore and alice dregor', 'other notable members include morgan holmes max beck howard devore and alice dregor', 'other notable members include morgan holmes max beck howard devora and alice dregor', 'other notable members include morgan holmes max beck howard devore and alice dregor', 'other notable members include morgan holmes max beck howard devore and alice dregor']
|
|
[
"the company focuses on developing games for handheld devices",
"the company focuses on developing games for handheld devices",
"the company focuses on developing games for handheld devices",
"the company focuses on developing games for handheld devices",
"the company focuses on developing games for handheld devices"
] |
the company focuses on developing games for handheld devices
|
the company focuses on developing games for handheld devices.
|
the company focuses on developing games for handheld devices. the company focuses on developing games for handheld devices. the company focuses on developing games for handheld devices. the company focuses on developing games for handheld devices.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company focuses on developing games for handheld devices', 'the company focuses on developing games for handheld devices', 'the company focuses on developing games for handheld devices', 'the company focuses on developing games for handheld devices', 'the company focuses on developing games for handheld devices']
|
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