hypothesis
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[
"employment looked strong inflation was low and consumer spending and investment were holding up reasonably well",
"employment looked strong inflation was low and consumer spending investment were holding up reasonably well",
"employment looks strong inflation was low and consumer spending and investment were holding up reasonably well",
"employment look strong inflation was low and consumer spending and investment were holding up reasonably well",
"employment looked strong inflation was low and consumer spending and investment was holding up reasonably well"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['employment looked strong inflation was low and consumer spending and investment were holding up reasonably well', 'employment looked strong inflation was low and consumer spending investment were holding up reasonably well', 'employment looks strong inflation was low and consumer spending and investment were holding up reasonably well', 'employment look strong inflation was low and consumer spending and investment were holding up reasonably well', 'employment looked strong inflation was low and consumer spending and investment was holding up reasonably well'] |
|
[
"the market's strength may show that demand isn't all a creation of incentives",
"the market strength may show that demand isn't all a creation of incentives",
"the market's strength may show that demand isn't all the creation of incentives",
"the market strength may show that demand isn't all the creation of incentives",
"market strength may show that demand isn't all a creation of incentives"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["the market's strength may show that demand isn't all a creation of incentives", "the market strength may show that demand isn't all a creation of incentives", "the market's strength may show that demand isn't all the creation of incentives", "the market strength may show that demand isn't all the creation of incentives", "market strength may show that demand isn't all a creation of incentives"] |
|
[
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty",
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty",
"sony which lost points in previous sessions this week rebounded eighty five thousand one hundred thirty",
"sony which lost points in previous sessions this week rebounded eighty five thousand one hundred and thirty",
"sony which lost points in previous sessions this week rebounded eighty to five one hundred thirty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty', 'sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty', 'sony which lost points in previous sessions this week rebounded eighty five thousand one hundred thirty', 'sony which lost points in previous sessions this week rebounded eighty five thousand one hundred and thirty', 'sony which lost points in previous sessions this week rebounded eighty to five one hundred thirty'] |
|
[
"the may slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day",
"the may slump recorded june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day",
"the mae slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day",
"the main slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day",
"the may slump reported june twenty second came as a big surprise to most analysts and help trigger a powerful bond rally that day"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the may slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day', 'the may slump recorded june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day', 'the mae slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day', 'the main slump reported june twenty second came as a big surprise to most analysts and helped trigger a powerful bond rally that day', 'the may slump reported june twenty second came as a big surprise to most analysts and help trigger a powerful bond rally that day'] |
|
[
"gillette is again a target of a major corporate raider",
"jillette is again a target of a major corporate raider",
"is again a target of a major corporate raider",
"jollette is again a target of a major corporate raider",
"gilette is again a target of a major corporate raider"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['gillette is again a target of a major corporate raider', 'jillette is again a target of a major corporate raider', 'is again a target of a major corporate raider', 'jollette is again a target of a major corporate raider', 'gilette is again a target of a major corporate raider'] |
|
[
"a change in the firm's ownership also should turn on a bright warning light",
"a change in the firm's ownership also should turn on the bright warning light",
"a change in the firms ownership also should turn on a bright warning light",
"a change in the firm's ownership also should turn on a bright morning light",
"a change on the firm's ownership also should turn on a bright warning light"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["a change in the firm's ownership also should turn on a bright warning light", "a change in the firm's ownership also should turn on the bright warning light", 'a change in the firms ownership also should turn on a bright warning light', "a change in the firm's ownership also should turn on a bright morning light", "a change on the firm's ownership also should turn on a bright warning light"] |
|
[
"mci plans to begin offering this service at the end of the month",
"mci plans to begin offering the service at the end of the month",
"plans to begin offering the service at the end of the month",
"plans to begin offering this service at the end of the month",
"mci plans to begin offering a service at the end of the month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mci plans to begin offering this service at the end of the month', 'mci plans to begin offering the service at the end of the month', 'plans to begin offering the service at the end of the month', 'plans to begin offering this service at the end of the month', 'mci plans to begin offering a service at the end of the month'] |
|
[
"kyocera was up sixty at five thousand two hundred sixty",
"kyosera was up sixty at five thousand two hundred sixty",
"kyocera was up sixty at five thousand two hundred and sixty",
"kiosera was up sixty at five thousand two hundred sixty",
"kyosera was up sixty at five thousand two hundred and sixty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kyocera was up sixty at five thousand two hundred sixty', 'kyosera was up sixty at five thousand two hundred sixty', 'kyocera was up sixty at five thousand two hundred and sixty', 'kiosera was up sixty at five thousand two hundred sixty', 'kyosera was up sixty at five thousand two hundred and sixty'] |
|
[
"however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock",
"however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock",
"however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen percent of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock", "however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock", "however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen percent of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock"] |
|
[
"it's still unclear",
"it is still unclear",
"it still unclear",
"yeah it's still unclear",
"mm hm it's still unclear"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["it's still unclear", 'it is still unclear', 'it still unclear', "yeah it's still unclear", "mm hm it's still unclear"] |
|
[
"republic new york rose one in one quarter to four to five in seven eighths",
"republic new york rose one in one quarter to four to five in seven eight",
"republic of new york rose one in one quarter to four to five in seven eighths",
"republic new york rose one and one quarter to four to five and seven eighths",
"republic new york rose one in one quarter to four to five in seven eighth"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['republic new york rose one in one quarter to four to five in seven eighths', 'republic new york rose one in one quarter to four to five in seven eight', 'republic of new york rose one in one quarter to four to five in seven eighths', 'republic new york rose one and one quarter to four to five and seven eighths', 'republic new york rose one in one quarter to four to five in seven eighth'] |
|
[
"if the dollar starts to plunge the fed may step up its defense of the currency",
"if the dollar starts to plunge the fed may step up its defence of the currency",
"if the dollar starts to plunge the fed may step up its defense of currency",
"if the dollar starts to plunge the fed may step up its defense of a currency",
"if the dollar starts to plunge the fed may step up defense of the currency"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if the dollar starts to plunge the fed may step up its defense of the currency', 'if the dollar starts to plunge the fed may step up its defence of the currency', 'if the dollar starts to plunge the fed may step up its defense of currency', 'if the dollar starts to plunge the fed may step up its defense of a currency', 'if the dollar starts to plunge the fed may step up defense of the currency'] |
|
[
"unable to agree on friday the board must meet again at least by phone to register its choice",
"unable to agree on friday the board must meet again at least by phone to register it's choice",
"unable to agree on friday the board must meet again at least by telephone to register its choice",
"unable agree on friday the board must meet again at least by phone to register its choice",
"unable to agree on friday that the board must meet again at least by phone to register its choice"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unable to agree on friday the board must meet again at least by phone to register its choice', "unable to agree on friday the board must meet again at least by phone to register it's choice", 'unable to agree on friday the board must meet again at least by telephone to register its choice', 'unable agree on friday the board must meet again at least by phone to register its choice', 'unable to agree on friday that the board must meet again at least by phone to register its choice'] |
|
[
"mr robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage",
"mr robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percent to twenty percent",
"mister robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage",
"mister robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percent to twenty percent",
"mr robertson says he would only be attracted by nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['mr robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage', 'mr robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percent to twenty percent', 'mister robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage', 'mister robertson says he would only be attracted by a nineteen multiple if he thought the projected earnings growth rate was eighteen percent to twenty percent', 'mr robertson says he would only be attracted by nineteen multiple if he thought the projected earnings growth rate was eighteen percentage to twenty percentage'] |
|
[
"in a fundamental sense the equity markets have very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity markets are very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity markets has very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity markets have very little to do with what goes on and the commercial banks",
"in the fundamental sense the equity markets have very little to do with what goes on in the commercial banks"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in a fundamental sense the equity markets have very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity markets are very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity markets has very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity markets have very little to do with what goes on and the commercial banks', 'in the fundamental sense the equity markets have very little to do with what goes on in the commercial banks'] |
|
[
"we're not prepared to be advocates for the kgb",
"we're not prepared to have advocates for the kgb",
"we're not prepared to have any advocates for the kgb",
"we're not prepared to have been advocates for the kgb",
"we are not prepared to be advocates for the kgb"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["we're not prepared to be advocates for the kgb", "we're not prepared to have advocates for the kgb", "we're not prepared to have any advocates for the kgb", "we're not prepared to have been advocates for the kgb", 'we are not prepared to be advocates for the kgb'] |
|
[
"at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen point six",
"at the close the financial times thirty share index was three point nine percentage lower at one thousand four hundred and eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at one thousand four hundred eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at fourteen eighteen point six",
"at the close the financial times thirty share index was three point nine fourths lower at one thousand four hundred and eighteen point six"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen point six', 'at the close the financial times thirty share index was three point nine percentage lower at one thousand four hundred and eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at one thousand four hundred eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at fourteen eighteen point six', 'at the close the financial times thirty share index was three point nine fourths lower at one thousand four hundred and eighteen point six'] |
|
[
"some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year",
"some credits including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year",
"some critics including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year",
"some credits including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year",
"some critics including high reagan administration officials are raising the alarm that the feds' policy is too tight and could cause a recession next year"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year", "some credits including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year", 'some critics including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year', 'some credits including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year', "some critics including high reagan administration officials are raising the alarm that the feds' policy is too tight and could cause a recession next year"] |
|
[
"about all the business they can count on is that policy will be pretty volatile",
"about all the business thing can count on is that policy will be pretty volatile",
"about all the business they can count on is the policy will be pretty volatile",
"about all a business they can count on is that policy will be pretty volatile",
"about all the business link can count on is that policy will be pretty volatile"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['about all the business they can count on is that policy will be pretty volatile', 'about all the business thing can count on is that policy will be pretty volatile', 'about all the business they can count on is the policy will be pretty volatile', 'about all a business they can count on is that policy will be pretty volatile', 'about all the business link can count on is that policy will be pretty volatile'] |
|
[
"first commodity officials couldn't be reached for comment",
"purse commodity officials couldn't be reached for comment",
"curse commodity officials couldn't be reached for comment",
"personal commodity officials couldn't be reached for comment",
"hers commodity officials couldn't be reached for comment"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["first commodity officials couldn't be reached for comment", "purse commodity officials couldn't be reached for comment", "curse commodity officials couldn't be reached for comment", "personal commodity officials couldn't be reached for comment", "hers commodity officials couldn't be reached for comment"] |
|
[
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said",
"the independent committee will recommend that holders accept the offer at a meeting expecting to be held in december twa said",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december the twa said",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said', 'the independent committee will recommend that holders accept the offer at a meeting expecting to be held in december twa said', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december the twa said', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said'] |
|
[
"so normalcy has returned",
"so normally has returned",
"so normacy has returned",
"so normancy has returned",
"so normalcy is returned"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so normalcy has returned', 'so normally has returned', 'so normacy has returned', 'so normancy has returned', 'so normalcy is returned'] |
|
[
"in japan it's all greek so to speak",
"in japan it's all grief so to speak",
"in japan it's all greed so to speak",
"in japan it's all green so to speak",
"in japan it's all creek so to speak"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["in japan it's all greek so to speak", "in japan it's all grief so to speak", "in japan it's all greed so to speak", "in japan it's all green so to speak", "in japan it's all creek so to speak"] |
|
[
"environment said it expects sales to be the highest for any third quarter in the company's history",
"enviragine said it expects sales to be the highest for any third quarter in the company's history",
"and viaduct said it expects sales to be the highest for any third quarter in the company's history",
"and viadigm said it expects sales to be the highest for any third quarter in the company's history",
"environment said it expected sales to be the highest for any third quarter in the company's history"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["environment said it expects sales to be the highest for any third quarter in the company's history", "enviragine said it expects sales to be the highest for any third quarter in the company's history", "and viaduct said it expects sales to be the highest for any third quarter in the company's history", "and viadigm said it expects sales to be the highest for any third quarter in the company's history", "environment said it expected sales to be the highest for any third quarter in the company's history"] |
|
[
"that was certainly true last week",
"that certainly was true last week",
"this was certainly true last week",
"that was certainly through last week",
"that was certainly true the last week"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that was certainly true last week', 'that certainly was true last week', 'this was certainly true last week', 'that was certainly through last week', 'that was certainly true the last week'] |
|
[
"we had to sustain some modest operating losses",
"we had to sustained some modest operating losses",
"we have to sustain some modest operating losses",
"we have had to sustain some modest operating losses",
"we had to sustain some modest operating losses"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we had to sustain some modest operating losses', 'we had to sustained some modest operating losses', 'we have to sustain some modest operating losses', 'we have had to sustain some modest operating losses', 'we had to sustain some modest operating losses'] |
|
[
"yesterday's losers included automobiles",
"yesterdays losers included automobiles",
"yesterday s losers included automobiles",
"yesterday's losers include automobiles",
"yesterday's users included automobiles"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["yesterday's losers included automobiles", 'yesterdays losers included automobiles', 'yesterday s losers included automobiles', "yesterday's losers include automobiles", "yesterday's users included automobiles"] |
|
[
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to searson lehman brothers the lead underwriter",
"the unsold balanced late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to chearson lehman brothers the lead underwriter"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to searson lehman brothers the lead underwriter', 'the unsold balanced late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to chearson lehman brothers the lead underwriter'] |
|
[
"the investor now owns seventy three percent of the company",
"the investor now owns seventy three percentage of the company",
"the investor now owned seventy three percent of the company",
"the investor now own seventy three percent of the company",
"the investor now owns seventy three of the company"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the investor now owns seventy three percent of the company', 'the investor now owns seventy three percentage of the company', 'the investor now owned seventy three percent of the company', 'the investor now own seventy three percent of the company', 'the investor now owns seventy three of the company'] |
|
[
"it also owns three state business magazines in florida georgia and arizona",
"it also owned three state business magazines in florida georgia and arizona",
"it also owns three state business magazines from florida georgia and arizona",
"it also owns three state business magazine in florida georgia and arizona",
"it also owes three state business magazines in florida georgia and arizona"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it also owns three state business magazines in florida georgia and arizona', 'it also owned three state business magazines in florida georgia and arizona', 'it also owns three state business magazines from florida georgia and arizona', 'it also owns three state business magazine in florida georgia and arizona', 'it also owes three state business magazines in florida georgia and arizona'] |
|
[
"he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller cellula markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller cellulo markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller sellular markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller celluloid markets this year and has expanded its financial services workforce"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller cellula markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller cellulo markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller sellular markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller celluloid markets this year and has expanded its financial services workforce'] |
|
[
"but the investigation could make some lenders worry",
"but the investigation could make some lenders wary",
"but the investigation could make some lenders worried",
"but the investigation could make some lenders willing",
"but the investigation could make some lenders weary"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but the investigation could make some lenders worry', 'but the investigation could make some lenders wary', 'but the investigation could make some lenders worried', 'but the investigation could make some lenders willing', 'but the investigation could make some lenders weary'] |
|
[
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percentage in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percent in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expect the number to rise sixty percentage in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and it expects the number to rise sixty percentage in the next five years"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percentage in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percent in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expect the number to rise sixty percentage in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and it expects the number to rise sixty percentage in the next five years'] |
|
[
"he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market",
"he said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market",
"he said that the company for the first time was developing drugs specifically for the over the count consumer health care market",
"he said that the company for the first time was developing drugs specifically for the over the count consumer healthcare market",
"he said that the company for the first time was developing drugs specifically for the over the county consumer health care market"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market', 'he said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market', 'he said that the company for the first time was developing drugs specifically for the over the count consumer health care market', 'he said that the company for the first time was developing drugs specifically for the over the count consumer healthcare market', 'he said that the company for the first time was developing drugs specifically for the over the county consumer health care market'] |
|
[
"the overall gain in the past seven months followed a revised four point one percent increase in february",
"the overall gain in the past seven months followed a revised four point one percentage increase in february",
"the overall gain of the fifth in the past seven months followed a revised four point one percent increase in february",
"the overall gain for the fifth in the past seven months followed a revised four point one percent increase in february",
"the overall gain in the fifth in the past seven months followed a revised four point one percent increase in february"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the overall gain in the past seven months followed a revised four point one percent increase in february', 'the overall gain in the past seven months followed a revised four point one percentage increase in february', 'the overall gain of the fifth in the past seven months followed a revised four point one percent increase in february', 'the overall gain for the fifth in the past seven months followed a revised four point one percent increase in february', 'the overall gain in the fifth in the past seven months followed a revised four point one percent increase in february'] |
|
[
"micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock",
"micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stocks",
"mcc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock",
"micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock",
"mi cc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock', 'micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stocks', 'mcc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock', 'micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock', 'mi cc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock'] |
|
[
"durable goods reports frequently are highly volatile from month to month",
"durable goods reports frequently are highly volatile from month",
"durable goods' reports frequently are highly volatile from month to month",
"durable goods reports are frequently highly volatile from month to month",
"durable goods reports are frequently are highly volatile from month to month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['durable goods reports frequently are highly volatile from month to month', 'durable goods reports frequently are highly volatile from month', "durable goods' reports frequently are highly volatile from month to month", 'durable goods reports are frequently highly volatile from month to month', 'durable goods reports are frequently are highly volatile from month to month'] |
|
[
"a change in the firm's ownership also should turn on",
"any change in the firm's ownership also should turn on the plane",
"any change in the firm's ownership also should turn on the plan",
"any change in the firm's ownership also should turn on the planet",
"any change in the firm's ownership also should turn on the bank"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["a change in the firm's ownership also should turn on", "any change in the firm's ownership also should turn on the plane", "any change in the firm's ownership also should turn on the plan", "any change in the firm's ownership also should turn on the planet", "any change in the firm's ownership also should turn on the bank"] |
|
[
"nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty",
"misson lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty",
"nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day of two thousand six hundred and twenty",
"missan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty",
"misson lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day of two thousand six hundred and twenty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty', 'misson lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty', 'nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day of two thousand six hundred and twenty', 'missan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end a day of two thousand six hundred and twenty', 'misson lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day of two thousand six hundred and twenty'] |
|
[
"it received no proposals that were in the best interest of the shareholders the company said",
"it received no proposals that were in the best interest of the shareholders the company says",
"it received no proposals that were in the best interests of the shareholders the company said",
"it received no proposals that were in the best interests of the shareholders the company says",
"it received no proposals that were in the best interest of shareholders the company said"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it received no proposals that were in the best interest of the shareholders the company said', 'it received no proposals that were in the best interest of the shareholders the company says', 'it received no proposals that were in the best interests of the shareholders the company said', 'it received no proposals that were in the best interests of the shareholders the company says', 'it received no proposals that were in the best interest of shareholders the company said'] |
|
[
"lately computer retailing has been tough on everybody",
"lately computer retailing has been tough on everyone",
"lately computer retail has been tough on everybody",
"lately computer retailing has been tough for everybody",
"lately computers retailing has been tough on everybody"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lately computer retailing has been tough on everybody', 'lately computer retailing has been tough on everyone', 'lately computer retail has been tough on everybody', 'lately computer retailing has been tough for everybody', 'lately computers retailing has been tough on everybody'] |
|
[
"commerce department officials noted however that auto imports usually rise in october as dealers fill their inventories with new models",
"commerce department officials noted however the auto imports usually rise in october as dealers fill their inventories with new models",
"commerce department officials note however that auto imports usually rise in october as dealers fill their inventories with new models",
"commerce department officials noted however that autoimports usually rise in october as dealers fill their inventories with new models",
"commerce department officials noted however that auto imports usually rise in october as dealers fill their inventories with new markets"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['commerce department officials noted however that auto imports usually rise in october as dealers fill their inventories with new models', 'commerce department officials noted however the auto imports usually rise in october as dealers fill their inventories with new models', 'commerce department officials note however that auto imports usually rise in october as dealers fill their inventories with new models', 'commerce department officials noted however that autoimports usually rise in october as dealers fill their inventories with new models', 'commerce department officials noted however that auto imports usually rise in october as dealers fill their inventories with new markets'] |
|
[
"that's fine",
"that's funny",
"that's fun",
"that is fine",
"yeah that's fine"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["that's fine", "that's funny", "that's fun", 'that is fine', "yeah that's fine"] |
|
[
"too much focus is placed on reduction of cross country loans mr meyerman said",
"too much focus is placed on reduction of cross country loans mr meyerman said",
"too much focus is placed on reduction of cross country loans mr meierman said",
"too much focus is placed on reduction of cross country loans mister meyerman said",
"too much focus is placed on reduction of cross country loans mr meyermann said"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['too much focus is placed on reduction of cross country loans mr meyerman said', 'too much focus is placed on reduction of cross country loans mr meyerman said', 'too much focus is placed on reduction of cross country loans mr meierman said', 'too much focus is placed on reduction of cross country loans mister meyerman said', 'too much focus is placed on reduction of cross country loans mr meyermann said'] |
|
[
"these and mastercard fees vary because they are set by the banks or other institutions that issue the cards",
"these and mastercard fees vary because they are set by the banks or other institutions that issue their cards",
"these and master card fees vary because they are set by the banks or other institutions that issue the cards",
"these at mastercard fees vary because they are set by the banks or other institutions that issue the cards",
"these at mastercard fees vary because they are set by the banks or other institutions that issue their cards"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these and mastercard fees vary because they are set by the banks or other institutions that issue the cards', 'these and mastercard fees vary because they are set by the banks or other institutions that issue their cards', 'these and master card fees vary because they are set by the banks or other institutions that issue the cards', 'these at mastercard fees vary because they are set by the banks or other institutions that issue the cards', 'these at mastercard fees vary because they are set by the banks or other institutions that issue their cards'] |
|
[
"prices are going up said george c yads vice president and chief economist at general motors corporation",
"prices are going up said george c eads vice president and chief economist at general motors corporation",
"prices are going up said george c yadz vice president and chief economist at general motors corporation",
"prices are going up said george c yad vice president and chief economist at general motors corporation",
"prices are going up said george c yadd's vice president and chief economist at general motors corporation"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['prices are going up said george c yads vice president and chief economist at general motors corporation', 'prices are going up said george c eads vice president and chief economist at general motors corporation', 'prices are going up said george c yadz vice president and chief economist at general motors corporation', 'prices are going up said george c yad vice president and chief economist at general motors corporation', "prices are going up said george c yadd's vice president and chief economist at general motors corporation"] |
|
[
"the airline imposed the contract without union bargaining",
"the airline impose the contract without union bargaining",
"the airlines imposed the contract without union bargaining",
"the airline imposed a contract without union bargaining",
"the airline imposes the contract without union bargaining"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the airline imposed the contract without union bargaining', 'the airline impose the contract without union bargaining', 'the airlines imposed the contract without union bargaining', 'the airline imposed a contract without union bargaining', 'the airline imposes the contract without union bargaining'] |
|
[
"net income rose one hundred twenty five percentage to seven hundred fifty three million swiss francs in the period",
"net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percentage to seven hundred and fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percentage to seven hundred fifty three million swiss francs in the period"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['net income rose one hundred twenty five percentage to seven hundred fifty three million swiss francs in the period', 'net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percentage to seven hundred and fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percentage to seven hundred fifty three million swiss francs in the period'] |
|
[
"brand auto flew three to fifteen one eight on the american soccer series",
"brand auto flew three to fifteen and one eight on the american soccer series",
"brand auto flew three to fifteen one eight on the american soccer stage",
"brand auto flew three to fifteen and one eight on the american soccer stage",
"grand auto flew three to fifteen and one eight on the american soccer stage"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['brand auto flew three to fifteen one eight on the american soccer series', 'brand auto flew three to fifteen and one eight on the american soccer series', 'brand auto flew three to fifteen one eight on the american soccer stage', 'brand auto flew three to fifteen and one eight on the american soccer stage', 'grand auto flew three to fifteen and one eight on the american soccer stage'] |
|
[
"but on the first brief room the case is without merit and we intend to fight it",
"but our first brief room the case is without merit and we intend to fight it",
"but on the first grief room the case is without merit and we intend to fight it",
"but on the first brief through the case is without merit and we intend to fight it",
"but on the first brief dream the case is without merit and we intend to fight it"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but on the first brief room the case is without merit and we intend to fight it', 'but our first brief room the case is without merit and we intend to fight it', 'but on the first grief room the case is without merit and we intend to fight it', 'but on the first brief through the case is without merit and we intend to fight it', 'but on the first brief dream the case is without merit and we intend to fight it'] |
|
[
"but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesday's close",
"but to the surprise of almost everyone stock prices began a steady climb at push the average above wednesday's close",
"but to the surprise of almost everyone sock prices began a steady climb that pushed the average above wednesday's close",
"but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesdays close",
"but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesday's"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesday's close", "but to the surprise of almost everyone stock prices began a steady climb at push the average above wednesday's close", "but to the surprise of almost everyone sock prices began a steady climb that pushed the average above wednesday's close", 'but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesdays close', "but to the surprise of almost everyone stock prices began a steady climb that pushed the average above wednesday's"] |
|
[
"the one hundred share index closed six point eight points lower at one thousand seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower at one thousand seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower at seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower at seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower than one thousand seven hundred fifty nine point nine"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the one hundred share index closed six point eight points lower at one thousand seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower at one thousand seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower at seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower at seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower than one thousand seven hundred fifty nine point nine'] |
|
[
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty eight",
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty",
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty eight",
"sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty",
"sony which lost points in previous sessions this week rebounded eighty eighty to five thousand one hundred and thirty eight"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty eight', 'sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred and thirty', 'sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty eight', 'sony which lost points in previous sessions this week rebounded eighty to five thousand one hundred thirty', 'sony which lost points in previous sessions this week rebounded eighty eighty to five thousand one hundred and thirty eight'] |
|
[
"the companies are followed by at least three analysts and had a minimum five cent change in actual earnings per share",
"the companies are followed by at least three analysts and had a minimum five cents change in actual earnings per share",
"the companies are followed by at least three analysts and had a minimum of five cents change in actual earnings per share",
"the companies are followed by at least three analysts and had a minimum of five cent change in actual earnings per share",
"the companies are followed by at least three analysts and have a minimum five cent change in actual earnings per share"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the companies are followed by at least three analysts and had a minimum five cent change in actual earnings per share', 'the companies are followed by at least three analysts and had a minimum five cents change in actual earnings per share', 'the companies are followed by at least three analysts and had a minimum of five cents change in actual earnings per share', 'the companies are followed by at least three analysts and had a minimum of five cent change in actual earnings per share', 'the companies are followed by at least three analysts and have a minimum five cent change in actual earnings per share'] |
|
[
"using a measure that counts the military among the employed the rate was unchanged at six point six percentage last month",
"using a measure that counts the military among the employed the rate was unchanged at six point six percent last month",
"using a measure that counts the military among the employees the rate was unchanged at six point six percentage last month",
"using a measure that counts the military among the employees the rate was unchanged at six point six percent last month",
"using a measure that counts the military among the employed the rate was changed at six point six percentage last month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['using a measure that counts the military among the employed the rate was unchanged at six point six percentage last month', 'using a measure that counts the military among the employed the rate was unchanged at six point six percent last month', 'using a measure that counts the military among the employees the rate was unchanged at six point six percentage last month', 'using a measure that counts the military among the employees the rate was unchanged at six point six percent last month', 'using a measure that counts the military among the employed the rate was changed at six point six percentage last month'] |
|
[
"companies are listed where transactions generally aggregate ten thousand shares or one hundred thousand dollars",
"companies are listed where transactions generally aggregate ten thousand shares or dollar one hundred thousand",
"companies are listed where transaction generally aggregate ten thousand shares or one hundred thousand dollars",
"companies are listed where transactions generally aggregate ten thousand shares or a hundred thousand dollars",
"companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred thousand dollars"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['companies are listed where transactions generally aggregate ten thousand shares or one hundred thousand dollars', 'companies are listed where transactions generally aggregate ten thousand shares or dollar one hundred thousand', 'companies are listed where transaction generally aggregate ten thousand shares or one hundred thousand dollars', 'companies are listed where transactions generally aggregate ten thousand shares or a hundred thousand dollars', 'companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred thousand dollars'] |
|
[
"republic new york rose one and one quarter to forty five and seven eighths",
"republic new york rose one in one quarter to forty five in seven eighths",
"the republic of new york rose one and one quarter to forty five and seven eighths",
"the republic new york rose one and one quarter to forty five and seven eighths",
"the republic of new york rose one in one quarter to forty five in seven eighths"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['republic new york rose one and one quarter to forty five and seven eighths', 'republic new york rose one in one quarter to forty five in seven eighths', 'the republic of new york rose one and one quarter to forty five and seven eighths', 'the republic new york rose one and one quarter to forty five and seven eighths', 'the republic of new york rose one in one quarter to forty five in seven eighths'] |
|
[
"the mid july increase came even though automakers are offering incentives on fewer cars this year than they did last year or earlier this year",
"the mid july increase came even though auto makers are offering incentives on fewer cars this year than they did last year or earlier this year",
"the mid july increase came even though automakers are offering incentives and fewer cars this year than they did last year or earlier this year",
"the mid july increase came even though automakers are offering incentives on fewer cars this year then they did last year or earlier this year",
"the mid july increase came even though auto makers are offering incentives and fewer cars this year than they did last year or earlier this year"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mid july increase came even though automakers are offering incentives on fewer cars this year than they did last year or earlier this year', 'the mid july increase came even though auto makers are offering incentives on fewer cars this year than they did last year or earlier this year', 'the mid july increase came even though automakers are offering incentives and fewer cars this year than they did last year or earlier this year', 'the mid july increase came even though automakers are offering incentives on fewer cars this year then they did last year or earlier this year', 'the mid july increase came even though auto makers are offering incentives and fewer cars this year than they did last year or earlier this year'] |
|
[
"and half these managers are in the u s",
"and half these managers are in the us",
"and half of these managers are in the u s",
"and half these managers are in the u",
"and half of these managers are in the us"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and half these managers are in the u s', 'and half these managers are in the us', 'and half of these managers are in the u s', 'and half these managers are in the u', 'and half of these managers are in the us'] |
|
[
"about three point five billion dollars in securities are affected",
"about three point five billion dollars dollars in securities are affected",
"about three point five billion dollars in securities are effected",
"about three five billion dollars in securities are affected",
"about three point five billion in securities are affected"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['about three point five billion dollars in securities are affected', 'about three point five billion dollars dollars in securities are affected', 'about three point five billion dollars in securities are effected', 'about three five billion dollars in securities are affected', 'about three point five billion in securities are affected'] |
|
[
"shearson lehman hutton incorporated's index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level",
"shearson lehman hutton incorporated's index with long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level",
"shearson lehman hutton incorporated's index of long term treasury bonds stayed in the very small range yesterday finishing very close to wednesday's closing level",
"shearson lehmann hutton incorporated's index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level",
"shearson lehman hutton incorporated index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["shearson lehman hutton incorporated's index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level", "shearson lehman hutton incorporated's index with long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level", "shearson lehman hutton incorporated's index of long term treasury bonds stayed in the very small range yesterday finishing very close to wednesday's closing level", "shearson lehmann hutton incorporated's index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level", "shearson lehman hutton incorporated index of long term treasury bonds stayed in a very small range yesterday finishing very close to wednesday's closing level"] |
|
[
"the low was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight eight",
"the low was one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight eight",
"the low is one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight eight",
"the low is one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight eight",
"the low was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the low was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight eight', 'the low was one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight eight', 'the low is one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight eight', 'the low is one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight eight', 'the low was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight'] |
|
[
"but it is mr west upon whom the outcome probably depends most",
"but it is mister west upon whom the outcome probably depends most",
"but it is mr west upon who the outcome probably depends most",
"but it is mr west on whom the outcome probably depends most",
"but it is mr west upon whom the outcome depends probably most"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but it is mr west upon whom the outcome probably depends most', 'but it is mister west upon whom the outcome probably depends most', 'but it is mr west upon who the outcome probably depends most', 'but it is mr west on whom the outcome probably depends most', 'but it is mr west upon whom the outcome depends probably most'] |
|
[
"despite the july decline durable goods orders remained seven point seven percentage above the year earlier level",
"despite the july decline durable goods orders remained seven point seven percent above the year earlier level",
"despite the july decline durable goods orders remain seven point seven percentage above the year earlier level",
"despite the july decline durable goods orders remained seven point seven per cent above the year earlier level",
"despite the july decline durable goods' orders remained seven point seven percentage above the year earlier level"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['despite the july decline durable goods orders remained seven point seven percentage above the year earlier level', 'despite the july decline durable goods orders remained seven point seven percent above the year earlier level', 'despite the july decline durable goods orders remain seven point seven percentage above the year earlier level', 'despite the july decline durable goods orders remained seven point seven per cent above the year earlier level', "despite the july decline durable goods' orders remained seven point seven percentage above the year earlier level"] |
|
[
"foreigners are back and negotiating with the chinese will be as tough as ever",
"foreigners are back and negotiating with the chinese would be as tough as ever",
"foreigners are back and negotiating with chinese will be as tough as ever",
"foreigners are back in negotiating with the chinese will be as tough as ever",
"foreigners are back and negotiate with the chinese will be as tough as ever"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['foreigners are back and negotiating with the chinese will be as tough as ever', 'foreigners are back and negotiating with the chinese would be as tough as ever', 'foreigners are back and negotiating with chinese will be as tough as ever', 'foreigners are back in negotiating with the chinese will be as tough as ever', 'foreigners are back and negotiate with the chinese will be as tough as ever'] |
|
[
"the underwriting group has a thirty day option to acquire an additional six hundred thousand shares eight dollars each",
"the underwriting group has a thirty day option to acquire an additional six hundred thousand shares at eight dollars each",
"the underwriting group has a day option to acquire an additional six hundred thousand shares eight dollars each",
"the underwriting group has a thirty day option to acquire an additional six hundred zero zero zero shares eight dollars each",
"the underwriting group has a thirty day option to acquire an additional six hundred thousand shares each dollars each"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the underwriting group has a thirty day option to acquire an additional six hundred thousand shares eight dollars each', 'the underwriting group has a thirty day option to acquire an additional six hundred thousand shares at eight dollars each', 'the underwriting group has a day option to acquire an additional six hundred thousand shares eight dollars each', 'the underwriting group has a thirty day option to acquire an additional six hundred zero zero zero shares eight dollars each', 'the underwriting group has a thirty day option to acquire an additional six hundred thousand shares each dollars each'] |
|
[
"several cities have versions of the british organization body positive",
"several cities have versions of the british organisation body positive",
"several cities have versions of the british organization's body positive",
"several cities had versions of the british organization body positive",
"several cities have versions of the british organization body positive"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['several cities have versions of the british organization body positive', 'several cities have versions of the british organisation body positive', "several cities have versions of the british organization's body positive", 'several cities had versions of the british organization body positive', 'several cities have versions of the british organization body positive'] |
|
[
"i have my list of changes i'd like to see",
"i have my list of changes i would like to see",
"i have my list of changes that i'd like to see",
"i had my list of changes i'd like to see",
"i have a list of changes i'd like to see"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["i have my list of changes i'd like to see", 'i have my list of changes i would like to see', "i have my list of changes that i'd like to see", "i had my list of changes i'd like to see", "i have a list of changes i'd like to see"] |
|
[
"important personnel usually are locked into long term contracts with incentives aimed at reducing that problem",
"important personnel usually are locked into long term contracts with incentives aimed at reducing the problem",
"important personnel usually are locked into long term contracts with incentives aimed at reducing their problem",
"important personnel usually are locked into longterm contracts with incentives aimed at reducing that problem",
"important personnel usually are locked in to long term contracts with incentives aimed at reducing that problem"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['important personnel usually are locked into long term contracts with incentives aimed at reducing that problem', 'important personnel usually are locked into long term contracts with incentives aimed at reducing the problem', 'important personnel usually are locked into long term contracts with incentives aimed at reducing their problem', 'important personnel usually are locked into longterm contracts with incentives aimed at reducing that problem', 'important personnel usually are locked in to long term contracts with incentives aimed at reducing that problem'] |
|
[
"northgate exploration limited said it sold four million common shares at eight dollars each",
"north gate exploration limited said it sold four million common shares at eight dollars each",
"northgate exploration ltd said it sold four million common shares at eight dollars each",
"northgate exploration limited said it sold four million shares at eight dollars each",
"northgate exploration limited said it sold four million common shares at eight dollars each"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['northgate exploration limited said it sold four million common shares at eight dollars each', 'north gate exploration limited said it sold four million common shares at eight dollars each', 'northgate exploration ltd said it sold four million common shares at eight dollars each', 'northgate exploration limited said it sold four million shares at eight dollars each', 'northgate exploration limited said it sold four million common shares at eight dollars each'] |
|
[
"the company said its european banking affiliate safra republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate saffron republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate saffra republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate safra republic plans to raise more than four hundred and fifty million dollars through an international offering",
"the company said its european banking affiliate sapphire republic plans to raise more than four hundred fifty million dollars through an international offering"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company said its european banking affiliate safra republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate saffron republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate saffra republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate safra republic plans to raise more than four hundred and fifty million dollars through an international offering', 'the company said its european banking affiliate sapphire republic plans to raise more than four hundred fifty million dollars through an international offering'] |
|
[
"i will tell you what i think in my office",
"i'll tell you what i think in my office",
"i will tell you what i think at my office",
"i will tell what i think in my office",
"i will tell you what i think of my office"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i will tell you what i think in my office', "i'll tell you what i think in my office", 'i will tell you what i think at my office', 'i will tell what i think in my office', 'i will tell you what i think of my office'] |
|
[
"the company which runs retail automotive stores told shearson lean brothers its financial advisor to terminate discussions to sell the firm",
"the company which runs retail automotive stores told shearson leonard brothers its financial advisor to terminate discussions to sell the firm",
"the company which runs retail automotive stores told shearson lean brothers its financial adviser to terminate discussions to sell the firm",
"the company which runs retail automotive services told shearson lean brothers its financial advisor to terminate discussions to sell the firm",
"the company which runs retail automotive stores told shearson lina brothers its financial advisor to terminate discussions to sell the firm"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company which runs retail automotive stores told shearson lean brothers its financial advisor to terminate discussions to sell the firm', 'the company which runs retail automotive stores told shearson leonard brothers its financial advisor to terminate discussions to sell the firm', 'the company which runs retail automotive stores told shearson lean brothers its financial adviser to terminate discussions to sell the firm', 'the company which runs retail automotive services told shearson lean brothers its financial advisor to terminate discussions to sell the firm', 'the company which runs retail automotive stores told shearson lina brothers its financial advisor to terminate discussions to sell the firm'] |
|
[
"the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit table",
"the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit page",
"the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit payment",
"the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit pay",
"the share closed at eighteen dollars twenty five cents up twenty five cents on the new york stock exchange deposit table"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit table', 'the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit page', 'the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit payment', 'the share closed at eighteen dollars and twenty five cents up twenty five cents on the new york stock exchange deposit pay', 'the share closed at eighteen dollars twenty five cents up twenty five cents on the new york stock exchange deposit table'] |
|
[
"its biggest was the one billion dollar purchase of humana technologies corporations in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of humana technologies corporation's in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollars purchase of humana technologies corporations in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollars purchase of humana technologies corporation's in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of humana technologies corporation's in mont's subsidiary a major supplier of paint to the auto industry"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its biggest was the one billion dollar purchase of humana technologies corporations in mont subsidiary a major supplier of paint to the auto industry', "its biggest was the one billion dollar purchase of humana technologies corporation's in mont subsidiary a major supplier of paint to the auto industry", 'its biggest was the one billion dollars purchase of humana technologies corporations in mont subsidiary a major supplier of paint to the auto industry', "its biggest was the one billion dollars purchase of humana technologies corporation's in mont subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollar purchase of humana technologies corporation's in mont's subsidiary a major supplier of paint to the auto industry"] |
|
[
"washington national paid nineteen dollars a share for the two point six million united presidential shares it didn't already own",
"washington national paid nineteen a share for the two point six million united presidential shares it didn't already own",
"washington national paid nineteen dollars a share for the two point six million presidential shares it didn't already own",
"washington national paid nineteen dollars a share for the two six million united presidential shares it didn't already own",
"washington national paid nineteen dollars a share for the two point six million united presidential shares that it didn't already own"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["washington national paid nineteen dollars a share for the two point six million united presidential shares it didn't already own", "washington national paid nineteen a share for the two point six million united presidential shares it didn't already own", "washington national paid nineteen dollars a share for the two point six million presidential shares it didn't already own", "washington national paid nineteen dollars a share for the two six million united presidential shares it didn't already own", "washington national paid nineteen dollars a share for the two point six million united presidential shares that it didn't already own"] |
|
[
"from america china looks good",
"from american china looks good",
"for america china looks good",
"china looks good",
"from america china look good"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['from america china looks good', 'from american china looks good', 'for america china looks good', 'china looks good', 'from america china look good'] |
|
[
"the rate on the latest three month bills declined to six point four three percent bid from an average of six point five three percent set at tuesday's auction",
"the rate on the latest three month bills declined six point four three percent bid from an average of six point five three percent set at tuesday's auction",
"the rate on the latest three month bills declined to six point four three percentage bid from an average of six point five three percentage set at tuesday's auction",
"the rate on the latest three month bills declined six point four three percentage bid from an average of six point five three percentage set at tuesday's auction",
"the rate on the latest three month bills declined to six point four three percent bid from an average of six point five three percent set at tuesday's election"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["the rate on the latest three month bills declined to six point four three percent bid from an average of six point five three percent set at tuesday's auction", "the rate on the latest three month bills declined six point four three percent bid from an average of six point five three percent set at tuesday's auction", "the rate on the latest three month bills declined to six point four three percentage bid from an average of six point five three percentage set at tuesday's auction", "the rate on the latest three month bills declined six point four three percentage bid from an average of six point five three percentage set at tuesday's auction", "the rate on the latest three month bills declined to six point four three percent bid from an average of six point five three percent set at tuesday's election"] |
|
[
"their business isn't just a job but their investment",
"their business isn't just a job but they're investment",
"their business isn't just a job but they're an investment",
"their business isn't just a job but they're investments",
"they're business isn't just a job but they're investment"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["their business isn't just a job but their investment", "their business isn't just a job but they're investment", "their business isn't just a job but they're an investment", "their business isn't just a job but they're investments", "they're business isn't just a job but they're investment"] |
|
[
"that doesn't mean mister icon has committed any wrongdoing",
"that doesn't mean mr icon has committed any wrongdoing",
"that doesn't mean mr icahn has committed any wrongdoing",
"that doesn't mean mister icahn has committed any wrongdoing",
"that doesn't mean mister ikon has committed any wrongdoing"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["that doesn't mean mister icon has committed any wrongdoing", "that doesn't mean mr icon has committed any wrongdoing", "that doesn't mean mr icahn has committed any wrongdoing", "that doesn't mean mister icahn has committed any wrongdoing", "that doesn't mean mister ikon has committed any wrongdoing"] |
|
[
"although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour or two",
"although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour of trade",
"although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour occurred",
"although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour or three",
"although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour a day"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour or two', 'although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour of trade', 'although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour occurred', 'although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour or three', 'although those gains eroded during the afternoon stock prices stayed within a narrow range until the last half hour a day'] |
|
[
"the company basically traded over the counter",
"the company physically traded over the counter",
"the company previously traded over the counter",
"the company pretty much traded over the counter",
"the company basically traded over the count"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company basically traded over the counter', 'the company physically traded over the counter', 'the company previously traded over the counter', 'the company pretty much traded over the counter', 'the company basically traded over the count'] |
|
[
"today ninety percentage of the four billion dollars of basf sales in the us is produced there",
"today ninety percentage of the four billion dollars of basf sales in the u s is produced there",
"today ninety percent of the four billion dollars of basf sales in the us is produced there",
"today ninety percent of the four billion dollars of basf sales in the u s is produced there",
"today ninety percentage of the four billion dollars of bassf sales in the us is produced there"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['today ninety percentage of the four billion dollars of basf sales in the us is produced there', 'today ninety percentage of the four billion dollars of basf sales in the u s is produced there', 'today ninety percent of the four billion dollars of basf sales in the us is produced there', 'today ninety percent of the four billion dollars of basf sales in the u s is produced there', 'today ninety percentage of the four billion dollars of bassf sales in the us is produced there'] |
|
[
"if defense is excluded march orders rose one percent after a three percent increase in february",
"if defense is excluded march orders rose one percentage after a three percentage increase in february",
"if defense is excluded march orders rose one percent after a three percentage increase in february",
"if defence is excluded march orders rose one percent after a three percent increase in february",
"if defense is excluded march orders rose one percentage after a three percent increase in february"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if defense is excluded march orders rose one percent after a three percent increase in february', 'if defense is excluded march orders rose one percentage after a three percentage increase in february', 'if defense is excluded march orders rose one percent after a three percentage increase in february', 'if defence is excluded march orders rose one percent after a three percent increase in february', 'if defense is excluded march orders rose one percentage after a three percent increase in february'] |
|
[
"at nec the need for international mergers will keep rising",
"at ncc the need for international mergers will keep rising",
"at nic the need for international mergers will keep rising",
"at nec the need for international mergers will keep rising",
"at any c the need for international mergers will keep rising"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at nec the need for international mergers will keep rising', 'at ncc the need for international mergers will keep rising', 'at nic the need for international mergers will keep rising', 'at nec the need for international mergers will keep rising', 'at any c the need for international mergers will keep rising'] |
|
[
"lately computer retailing has been tough on everybody",
"lately computer retail has been tough on everybody",
"lately computer retelling has been tough on everybody",
"lately computer retailing has been tough on everyone",
"lately computer retailing has been tough for everybody"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lately computer retailing has been tough on everybody', 'lately computer retail has been tough on everybody', 'lately computer retelling has been tough on everybody', 'lately computer retailing has been tough on everyone', 'lately computer retailing has been tough for everybody'] |
|
[
"there was a striking split between the sexes with men more likely than women to favor space programs",
"there was a striking split between the sexes with men more likely than women to favour space programs",
"there was a striking slit between the sexes with men more likely than women to favor space programs",
"there is a striking split between the sexes with men more likely than women to favor space programs",
"there was a striking slip between the sexes with men more likely than women to favor space programs"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there was a striking split between the sexes with men more likely than women to favor space programs', 'there was a striking split between the sexes with men more likely than women to favour space programs', 'there was a striking slit between the sexes with men more likely than women to favor space programs', 'there is a striking split between the sexes with men more likely than women to favor space programs', 'there was a striking slip between the sexes with men more likely than women to favor space programs'] |
|
[
"under tokyo trading rules the maximum one day drop for a sony is five hundred yen about three dollars fifty cents",
"under tokyo trading rules the maximum one day drop for a sony is five hundred yen about three dollars and fifty cents",
"under tokyo trading rules the maximum one day drop for sony is five hundred yen about three dollars fifty cents",
"under tokyo trading rule the maximum one day drop for a sony is five hundred yen about three dollars fifty cents",
"under tokyo trading rules the maximum one day drop for sony is five hundred yen about three dollars and fifty cents"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['under tokyo trading rules the maximum one day drop for a sony is five hundred yen about three dollars fifty cents', 'under tokyo trading rules the maximum one day drop for a sony is five hundred yen about three dollars and fifty cents', 'under tokyo trading rules the maximum one day drop for sony is five hundred yen about three dollars fifty cents', 'under tokyo trading rule the maximum one day drop for a sony is five hundred yen about three dollars fifty cents', 'under tokyo trading rules the maximum one day drop for sony is five hundred yen about three dollars and fifty cents'] |
|
[
"and both mortgaged their homes to secure the loans they needed to start business",
"and both mortgaged their homes to secure the loans they needed to start a business",
"and both mortgaged their homes to secure the loans they needed to start the business",
"then both mortgaged their homes to secure the loans they needed to start business",
"then both mortgaged their homes to secure the loans they needed to start a business"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and both mortgaged their homes to secure the loans they needed to start business', 'and both mortgaged their homes to secure the loans they needed to start a business', 'and both mortgaged their homes to secure the loans they needed to start the business', 'then both mortgaged their homes to secure the loans they needed to start business', 'then both mortgaged their homes to secure the loans they needed to start a business'] |
|
[
"the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven",
"the issue was priced after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven",
"the issue is priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven",
"the issue was price after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven",
"the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five in nineteen ninety seven"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven', 'the issue was priced after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven', 'the issue is priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven', 'the issue was price after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven', 'the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five in nineteen ninety seven'] |
|
[
"he said such products would be marketed by other companies with experience in that business",
"he said such products will be marketed by other companies with experience in that business",
"he says such products would be marketed by other companies with experience in that business",
"he said such products could be marketed by other companies with experience in that business",
"he said such products would be marketed by other companies with experience in the business"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said such products would be marketed by other companies with experience in that business', 'he said such products will be marketed by other companies with experience in that business', 'he says such products would be marketed by other companies with experience in that business', 'he said such products could be marketed by other companies with experience in that business', 'he said such products would be marketed by other companies with experience in the business'] |
|
[
"among export led electrical and computer vehicles japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical and computer vehicles japan victor company fell fifty to two thousand three hundred twenty",
"among export led electrical and computer vehicles japan victor company fell fifty to twenty three twenty",
"among export led electrical and computer vehicles japan victor company fell fifty to twenty three hundred and twenty",
"among export led electrical and computer vehicles japan's victor company fell fifty to two thousand three hundred and twenty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['among export led electrical and computer vehicles japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical and computer vehicles japan victor company fell fifty to two thousand three hundred twenty', 'among export led electrical and computer vehicles japan victor company fell fifty to twenty three twenty', 'among export led electrical and computer vehicles japan victor company fell fifty to twenty three hundred and twenty', "among export led electrical and computer vehicles japan's victor company fell fifty to two thousand three hundred and twenty"] |
|
[
"we just received a suit and the document is massive it's two hundred pages",
"we just received a suit and the document is massive its two hundred pages",
"we just received the suit and the document is massive it's two hundred pages",
"we just receive a suit and the document is massive it's two hundred pages",
"we just received his suit and the document is massive it's two hundred pages"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["we just received a suit and the document is massive it's two hundred pages", 'we just received a suit and the document is massive its two hundred pages', "we just received the suit and the document is massive it's two hundred pages", "we just receive a suit and the document is massive it's two hundred pages", "we just received his suit and the document is massive it's two hundred pages"] |
|
[
"the average rate on new twenty six week bills rose to six point one six percent from six point one two percent",
"the average rate on new twenty six week bills rose to six point one six percentage from six point one two percentage",
"the average rate on new twenty six week bills rose to six point one six from six point one two percent",
"the average rate on new twenty six week bills rose to six point one six percent from six point one two",
"the average rate on new twenty six week bills rose to six point one six percentage from six point one two percent"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the average rate on new twenty six week bills rose to six point one six percent from six point one two percent', 'the average rate on new twenty six week bills rose to six point one six percentage from six point one two percentage', 'the average rate on new twenty six week bills rose to six point one six from six point one two percent', 'the average rate on new twenty six week bills rose to six point one six percent from six point one two', 'the average rate on new twenty six week bills rose to six point one six percentage from six point one two percent'] |
|
[
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percent last month",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percentage last month",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for us durable goods rose two point four percent last month",
"according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percent last month",
"according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percentage last month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percent last month', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percentage last month', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for us durable goods rose two point four percent last month', "according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percent last month", "according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percentage last month"] |
|
[
"fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold cards",
"fees range up to about forty annually for basic cards and sixty dollars a year for gold cards",
"fees range up to about forty dollars annually for basic cards and dollar sixty a year for gold cards",
"fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold cars",
"fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold card"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold cards', 'fees range up to about forty annually for basic cards and sixty dollars a year for gold cards', 'fees range up to about forty dollars annually for basic cards and dollar sixty a year for gold cards', 'fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold cars', 'fees range up to about forty dollars annually for basic cards and sixty dollars a year for gold card'] |
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[
"the company which owns retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the firm",
"the company which owns retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the firm",
"the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the firm",
"the company which owns retail automotive stores told shearson layman brothers its financial advisor to terminate discussions to sell the firm",
"the company which runs retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the firm"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company which owns retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the firm', 'the company which owns retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the firm', 'the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the firm', 'the company which owns retail automotive stores told shearson layman brothers its financial advisor to terminate discussions to sell the firm', 'the company which runs retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the firm'] |
|
[
"a print media campaign will begin the following day",
"a print media campaign would begin the following day",
"a print media campaign will began the following day",
"a print media campaign will begin on the following day",
"the print media campaign will begin the following day"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a print media campaign will begin the following day', 'a print media campaign would begin the following day', 'a print media campaign will began the following day', 'a print media campaign will begin on the following day', 'the print media campaign will begin the following day'] |
|
[
"a long list of other witnesses have also testified in the trial now in its fourth month",
"a long list of other witnesses has also testified in the trial now in its fourth month",
"a long list of other witnesses have also testified at the trial now in its fourth month",
"a long list of other witnesses have also testified in the trial now its fourth month",
"a long list of other witnesses have also testified in the trial now in it's fourth month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a long list of other witnesses have also testified in the trial now in its fourth month', 'a long list of other witnesses has also testified in the trial now in its fourth month', 'a long list of other witnesses have also testified at the trial now in its fourth month', 'a long list of other witnesses have also testified in the trial now its fourth month', "a long list of other witnesses have also testified in the trial now in it's fourth month"] |
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[
"he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market",
"he said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market",
"he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market field",
"he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market building",
"he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market built"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market', 'he said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market', 'he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market field', 'he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market building', 'he said that the company for the first time was developing drugs specifically for the over the counter consumer health care market built'] |