hypothesis
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| transcription
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| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
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5.37k
⌀ | source
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values | id
stringclasses 0
values | dummy_str
stringclasses 1
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[
"interest rates rose on short term treasury bills sold by the government yesterday at its regular weekly auction",
"interest rates rose on short term treasury bills sold by the government yesterday at its regular weekly auctions",
"interest rates rose on short term treasury bill sold by the government yesterday at its regular weekly auction",
"interest rates rose not short term treasury bills sold by the government yesterday at its regular weekly auction",
"interest rates rose on the short term treasury bills sold by the government yesterday at its regular weekly auction"
]
| 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.
['interest rates rose on short term treasury bills sold by the government yesterday at its regular weekly auction', 'interest rates rose on short term treasury bills sold by the government yesterday at its regular weekly auctions', 'interest rates rose on short term treasury bill sold by the government yesterday at its regular weekly auction', 'interest rates rose not short term treasury bills sold by the government yesterday at its regular weekly auction', 'interest rates rose on the short term treasury bills sold by the government yesterday at its regular weekly auction'] |
|
[
"industry analysts value the company at about six hundred fifty million dollars",
"industry analysts value the company at about six hundred and fifty million dollars",
"industry analysts value the company at about six hundred fifty dollars million",
"industry analysts valued the company at about six hundred fifty million dollars",
"industry analysts value the company at about six hundred fifty billion 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.
['industry analysts value the company at about six hundred fifty million dollars', 'industry analysts value the company at about six hundred and fifty million dollars', 'industry analysts value the company at about six hundred fifty dollars million', 'industry analysts valued the company at about six hundred fifty million dollars', 'industry analysts value the company at about six hundred fifty billion dollars'] |
|
[
"unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings of the common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involved direct holdings of the common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings with common stock and took place in september and october of nineteen eighty 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.
['unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings of the common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involved direct holdings of the common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings with common stock and took place in september and october of nineteen eighty seven'] |
|
[
"where else in the third world is there so much energy and progress as in china",
"where else in the third world was there so much energy and progress as in china",
"where else in the third world is there so much energy in progress as in china",
"else in the third world is there so much energy and progress as in china",
"where else in the third world is there so much energy and progress as in china probably"
]
| 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.
['where else in the third world is there so much energy and progress as in china', 'where else in the third world was there so much energy and progress as in china', 'where else in the third world is there so much energy in progress as in china', 'else in the third world is there so much energy and progress as in china', 'where else in the third world is there so much energy and progress as in china probably'] |
|
[
"but it is mr west upon whom the outcome probably depends the most",
"but it is mister west upon whom the outcome probably depends the most",
"but it is mr west on whom the outcome probably depends the most",
"but it is mister west on whom the outcome probably depends the most",
"but it is mr west upon who the outcome probably depends the 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 the most', 'but it is mister west upon whom the outcome probably depends the most', 'but it is mr west on whom the outcome probably depends the most', 'but it is mister west on whom the outcome probably depends the most', 'but it is mr west upon who the outcome probably depends the most'] |
|
[
"as part of the marketing plan the company will begin airing television commercials during prime time on election night next tuesday",
"as part of the marketing plan the company will begin to air a television commercial during prime time on election night next tuesday",
"as part of the marketing plan the company will begin aerial television commercials during prime time on election night next tuesday",
"as part of the marketing plan the company will begin airing television commercials during prime time election night next tuesday",
"as part of the marketing plan the company will begin airing television commercials during primetime on election night next tuesday"
]
| 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.
['as part of the marketing plan the company will begin airing television commercials during prime time on election night next tuesday', 'as part of the marketing plan the company will begin to air a television commercial during prime time on election night next tuesday', 'as part of the marketing plan the company will begin aerial television commercials during prime time on election night next tuesday', 'as part of the marketing plan the company will begin airing television commercials during prime time election night next tuesday', 'as part of the marketing plan the company will begin airing television commercials during primetime on election night next tuesday'] |
|
[
"unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involved in direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involved direct holdings of common stock and took place in september and october nineteen eighty seven",
"unless otherwise noted changes involved direct holdings of common stock took place in september and october of nineteen eighty 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.
['unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involved in direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involved direct holdings of common stock and took place in september and october nineteen eighty seven', 'unless otherwise noted changes involved direct holdings of common stock took place in september and october of nineteen eighty seven'] |
|
[
"the real change though is in how china looks",
"the real change though is how china looks",
"the real change is in how china looks",
"the real changes though is in how china looks",
"the real changed though is in how china looks"
]
| 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 real change though is in how china looks', 'the real change though is how china looks', 'the real change is in how china looks', 'the real changes though is in how china looks', 'the real changed though is in how china looks'] |
|
[
"republic new york rose one and one quarter to forty five and seven eighths",
"republic new york rose one and one quarters to forty five and seven eighths",
"republic new york rose one and one quarter to forty five and seven eight",
"republic new york rose one and one quarter to forty five seven eighths",
"republic new york rose one and one fourth to forty five and 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 and one quarters to forty five and seven eighths', 'republic new york rose one and one quarter to forty five and seven eight', 'republic new york rose one and one quarter to forty five seven eighths', 'republic new york rose one and one fourth to forty five and seven eighths'] |
|
[
"accepted bids range from six point two percent to six point two two five percent",
"accepted bids range from six point two percentage to six point two two five percentage",
"accepted bids ranged from six point two percent to six point two two five percent",
"accepted bids ranged from six point two percentage to six point two two five percentage",
"accepted bids range from six point two percentage to six point two to five 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.
['accepted bids range from six point two percent to six point two two five percent', 'accepted bids range from six point two percentage to six point two two five percentage', 'accepted bids ranged from six point two percent to six point two two five percent', 'accepted bids ranged from six point two percentage to six point two two five percentage', 'accepted bids range from six point two percentage to six point two to five percentage'] |
|
[
"the rate on the latest three month bills declined to six point four three percent gig from an average of six point five three percent set on tuesday's auction",
"the rate on the latest three month bills declined to six point four three percent gig from the average of six point five three percent set on tuesday's auction",
"the rate on the latest three month bills declined to six point four three percentage gig from an average of six point five three percentage set on tuesday's auction",
"the rate on the latest three month bills declined to six point four three percent gig 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 gig from an average of six point five three percentage set at tuesday's auction"
]
| 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 gig from an average of six point five three percent set on tuesday's auction", "the rate on the latest three month bills declined to six point four three percent gig from the average of six point five three percent set on tuesday's auction", "the rate on the latest three month bills declined to six point four three percentage gig from an average of six point five three percentage set on tuesday's auction", "the rate on the latest three month bills declined to six point four three percent gig 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 gig from an average of six point five three percentage set at tuesday's auction"] |
|
[
"the shares closed to eighteen dollars and twenty five cents another twenty five cents on the new york stock exchange composite tape",
"the shares closed to eighteen dollars and twenty five cents another twenty five cents on the new york stock exchange composite take",
"the shares closed to eighteen dollars twenty five cents another twenty five cents on the new york stock exchange composite tape",
"the shares closed to eighteen dollars twenty five cents another twenty five cents on the new york stock exchange composite take",
"the shares closed to eighteen dollars and twenty five cents and that's twenty five cents on the new york stock exchange composite tape"
]
| 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 shares closed to eighteen dollars and twenty five cents another twenty five cents on the new york stock exchange composite tape', 'the shares closed to eighteen dollars and twenty five cents another twenty five cents on the new york stock exchange composite take', 'the shares closed to eighteen dollars twenty five cents another twenty five cents on the new york stock exchange composite tape', 'the shares closed to eighteen dollars twenty five cents another twenty five cents on the new york stock exchange composite take', "the shares closed to eighteen dollars and twenty five cents and that's twenty five cents on the new york stock exchange composite tape"] |
|
[
"among export led electrical and computer makers japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical and computer makers japan victor company fell fifty two thousand three hundred and twenty",
"among export led electrical and computer makers japan victor company fell fifty to two thousand three hundred twenty",
"among export led electrical and computer makers japan victor company fell fifty two thousand three hundred twenty",
"among export lead electrical and computer makers japan 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 makers japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical and computer makers japan victor company fell fifty two thousand three hundred and twenty', 'among export led electrical and computer makers japan victor company fell fifty to two thousand three hundred twenty', 'among export led electrical and computer makers japan victor company fell fifty two thousand three hundred twenty', 'among export lead electrical and computer makers japan victor company fell fifty to two thousand three hundred and twenty'] |
|
[
"the company declined to identify the bidders but said it received offers in a high forty dollars per share",
"the company declined to identify the bidders but said it received offers in the high forty dollars per share",
"the company declined to identify the bidders but said it received offers in a high dollar forty per share",
"the company declined to identify the bidders but said it received offers and a high forty dollars per share",
"the company declined to identify the bidders but said it received offers in the high dollar forty 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 company declined to identify the bidders but said it received offers in a high forty dollars per share', 'the company declined to identify the bidders but said it received offers in the high forty dollars per share', 'the company declined to identify the bidders but said it received offers in a high dollar forty per share', 'the company declined to identify the bidders but said it received offers and a high forty dollars per share', 'the company declined to identify the bidders but said it received offers in the high dollar forty per share'] |
|
[
"northgate exploration limited said it sold four million common shares in eight dollars each",
"northgate exploration limited said it sold four million common shares and eight dollars each",
"north gate exploration limited said it sold four million common shares in eight dollars each",
"northgate exploration limited said it sold four million shares in eight dollars each",
"north gate exploration limited said it sold four million common shares and 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 in eight dollars each', 'northgate exploration limited said it sold four million common shares and eight dollars each', 'north gate exploration limited said it sold four million common shares in eight dollars each', 'northgate exploration limited said it sold four million shares in eight dollars each', 'north gate exploration limited said it sold four million common shares and eight dollars each'] |
|
[
"under the proposed transaction the los angeles group will acquire the khd license and then sell itself to disney",
"under the proposed transaction the los angeles group will acquire the khj license and then sell itself to disney",
"under the proposed transaction the los angeles group would acquire the khd license and then sell itself to disney",
"under the proposed transaction the los angeles group would acquire the khj license and then sell itself to disney",
"under the proposed transaction the los angeles group will acquire the khda license and then sell itself to disney"
]
| 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 the proposed transaction the los angeles group will acquire the khd license and then sell itself to disney', 'under the proposed transaction the los angeles group will acquire the khj license and then sell itself to disney', 'under the proposed transaction the los angeles group would acquire the khd license and then sell itself to disney', 'under the proposed transaction the los angeles group would acquire the khj license and then sell itself to disney', 'under the proposed transaction the los angeles group will acquire the khda license and then sell itself to disney'] |
|
[
"sony corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday",
"sunning corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday",
"sony corporation for example posted four thousand nine hundred and fifty yen thirty four dollars and fifty cents a share yesterday",
"suny corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday",
"sunning corporation for example posted four thousand nine hundred and fifty yen thirty four dollars and fifty cents a share yesterday"
]
| 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 corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday', 'sunning corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday', 'sony corporation for example posted four thousand nine hundred and fifty yen thirty four dollars and fifty cents a share yesterday', 'suny corporation for example posted four thousand nine hundred and fifty yen thirty four dollars fifty cents a share yesterday', 'sunning corporation for example posted four thousand nine hundred and fifty yen thirty four dollars and fifty cents a share yesterday'] |
|
[
"about all businessmen can count on is that policy goals are pretty volatile",
"about all businessmen can count on is that policy goal is pretty volatile",
"about all business men can count on is that policy goals are pretty volatile",
"about all businessmen can count on is that policy will be pretty volatile",
"about all businessman can count on is that policy goals are 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 businessmen can count on is that policy goals are pretty volatile', 'about all businessmen can count on is that policy goal is pretty volatile', 'about all business men can count on is that policy goals are pretty volatile', 'about all businessmen can count on is that policy will be pretty volatile', 'about all businessman can count on is that policy goals are pretty volatile'] |
|
[
"these are uneducated people he says in english so the patients won't understand",
"these are uneducated people he says of english so the patients won't understand",
"these are uneducated people he says in english so patients won't understand",
"these are uneducated people he says it english so the patients won't understand",
"these are uneducated people he says in english so the patients will not understand"
]
| 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 are uneducated people he says in english so the patients won't understand", "these are uneducated people he says of english so the patients won't understand", "these are uneducated people he says in english so patients won't understand", "these are uneducated people he says it english so the patients won't understand", 'these are uneducated people he says in english so the patients will not understand'] |
|
[
"that was certainly true last week",
"that were certainly true last week",
"that was certainly through last week",
"this was certainly true 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 were certainly true last week', 'that was certainly through last week', 'this was certainly true last week', 'that was certainly true the last week'] |
|
[
"yesterday's losers included automobiles",
"yesterday's losers included automobile",
"yesterday's losers imputed automobiles",
"yesterday's looters included automobiles",
"yesterday's newsers 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", "yesterday's losers included automobile", "yesterday's losers imputed automobiles", "yesterday's looters included automobiles", "yesterday's newsers included automobiles"] |
|
[
"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 said such products would be marketed by other companies with experience in the business",
"he said that such products would be marketed by other companies with experience in that business",
"he said such products would be marketed by other companies with experiences in that 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 said such products would be marketed by other companies with experience in the business', 'he said that such products would be marketed by other companies with experience in that business', 'he said such products would be marketed by other companies with experiences in that business'] |
|
[
"manhattan industries continued to trade above the offer price yesterday indicating the market expects a higher bid",
"manhattan industries continued to trade above the offer price yesterday indicating a market expects a higher bid",
"manhattan industries continue to trade above the offer price yesterday indicating the market expects a higher bid",
"manhattan industries continue to trade above the offer price yesterday indicating a market expects a higher bid",
"manhattan industries continues to trade above the offer price yesterday indicating the market expects a higher bid"
]
| 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.
['manhattan industries continued to trade above the offer price yesterday indicating the market expects a higher bid', 'manhattan industries continued to trade above the offer price yesterday indicating a market expects a higher bid', 'manhattan industries continue to trade above the offer price yesterday indicating the market expects a higher bid', 'manhattan industries continue to trade above the offer price yesterday indicating a market expects a higher bid', 'manhattan industries continues to trade above the offer price yesterday indicating the market expects a higher bid'] |
|
[
"in the efforts to restore market confidence administration officials have emphasized that the economy's fundamentals remain sound",
"in the efforts to restore market competence administration officials have emphasized that the economy's fundamentals remain sound",
"in the efforts to restore market confidence the administration officials have emphasized that the economy's fundamentals remain sound",
"in the efforts to restore market competence the administration officials have emphasized that the economy's fundamentals remain sound",
"in the efforts to restore market confidence administration officials have emphasized that the economy's fundamental remains sound"
]
| 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 the efforts to restore market confidence administration officials have emphasized that the economy's fundamentals remain sound", "in the efforts to restore market competence administration officials have emphasized that the economy's fundamentals remain sound", "in the efforts to restore market confidence the administration officials have emphasized that the economy's fundamentals remain sound", "in the efforts to restore market competence the administration officials have emphasized that the economy's fundamentals remain sound", "in the efforts to restore market confidence administration officials have emphasized that the economy's fundamental remains sound"] |
|
[
"under term previously reported the italian agricultural concern assumed about one hundred ninety five million dollars in subordinated dents as part of the transaction",
"under term previously reported the italian agricultural concern assumed that about one hundred ninety five million dollars in subordinated dents as part of the transaction",
"under terms previously reported the italian agricultural concern assumed about one hundred ninety five million dollars in subordinated dents as part of the transaction",
"under term previously reported the italian agricultural concern assumed about one hundred ninety five dollars million in subordinated dents as part of the transaction",
"under term previously reported the italian agricultural concern assumed about one hundred and ninety five million dollars in subordinated dents as part of the transaction"
]
| 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 term previously reported the italian agricultural concern assumed about one hundred ninety five million dollars in subordinated dents as part of the transaction', 'under term previously reported the italian agricultural concern assumed that about one hundred ninety five million dollars in subordinated dents as part of the transaction', 'under terms previously reported the italian agricultural concern assumed about one hundred ninety five million dollars in subordinated dents as part of the transaction', 'under term previously reported the italian agricultural concern assumed about one hundred ninety five dollars million in subordinated dents as part of the transaction', 'under term previously reported the italian agricultural concern assumed about one hundred and ninety five million dollars in subordinated dents as part of the transaction'] |
|
[
"that would follow a two point two percent drop in men",
"that would follow a two point two percentage drop in men",
"that would follow a two point two percent drop in man",
"that would follow a two point two per cent drop in men",
"that would follow a two point two percent drop in many"
]
| 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 would follow a two point two percent drop in men', 'that would follow a two point two percentage drop in men', 'that would follow a two point two percent drop in man', 'that would follow a two point two per cent drop in men', 'that would follow a two point two percent drop in many'] |
|
[
"many analysts cite an expected increase in aircraft orders as a big reason for the anticipated june increase",
"many analysts cited an expected increase in aircraft orders as a big reason for the anticipated june increase",
"many analyst cite an expected increase in aircraft orders as a big reason for the anticipated june increase",
"many analyst cited an expected increase in aircraft orders as a big reason for the anticipated june increase",
"many analysts cite an expected increase in aircraft orders as a big reason for anticipated june increase"
]
| 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.
['many analysts cite an expected increase in aircraft orders as a big reason for the anticipated june increase', 'many analysts cited an expected increase in aircraft orders as a big reason for the anticipated june increase', 'many analyst cite an expected increase in aircraft orders as a big reason for the anticipated june increase', 'many analyst cited an expected increase in aircraft orders as a big reason for the anticipated june increase', 'many analysts cite an expected increase in aircraft orders as a big reason for anticipated june increase'] |
|
[
"the one hundred share index closed six point eight points lower than one thousand seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower than one thousand seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower than seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower than seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower and one thousand seven hundred and 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 than one thousand seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower than one thousand seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower than seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower than seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower and one thousand seven hundred and fifty nine point nine'] |
|
[
"union officials expect ratification",
"union officials expect ratification",
"unions officials expect ratification",
"union officials except ratification",
"union officers expect ratification"
]
| 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.
['union officials expect ratification', 'union officials expect ratification', 'unions officials expect ratification', 'union officials except ratification', 'union officers expect ratification'] |
|
[
"that doesn't mean mr aiken has committed any wrongdoing",
"that doesn't mean mister aiken has committed any wrongdoing",
"that doesn't mean mr aikin has committed any wrongdoing",
"that doesn't mean mr aichen has committed any wrongdoing",
"that doesn't mean mr icann 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 mr aiken has committed any wrongdoing", "that doesn't mean mister aiken has committed any wrongdoing", "that doesn't mean mr aikin has committed any wrongdoing", "that doesn't mean mr aichen has committed any wrongdoing", "that doesn't mean mr icann has committed any wrongdoing"] |
|
[
"a long list of other witnesses have also testified in trial now in its fourth month",
"a long list of other witnesses have also testified on trial now in its fourth month",
"a long list of other witnesses have also testified in the trial now in its fourth month",
"a long list of other witnesses have also testified at trial now in its fourth month",
"a long list of other witnesses have also testified in trial now 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 trial now in its fourth month', 'a long list of other witnesses have also testified on trial now in its fourth month', 'a long list of other witnesses have also testified in the trial now in its fourth month', 'a long list of other witnesses have also testified at trial now in its fourth month', "a long list of other witnesses have also testified in trial now it's fourth month"] |
|
[
"assets more than doubled since then to one hundred sixty four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty seven",
"assets more than doubled since then to one hundred and sixty point four billion swiss francs one hundred and fifteen point six billion dollars in nineteen eighty seven",
"assets more than doubled since then to one hundred sixty point four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty seven",
"assets more than doubled since then to one hundred and sixty four billion swiss francs one hundred and fifteen point six billion dollars in nineteen eighty seven",
"assets more than doubled since then to one hundred sixteen point four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty 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.
['assets more than doubled since then to one hundred sixty four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty seven', 'assets more than doubled since then to one hundred and sixty point four billion swiss francs one hundred and fifteen point six billion dollars in nineteen eighty seven', 'assets more than doubled since then to one hundred sixty point four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty seven', 'assets more than doubled since then to one hundred and sixty four billion swiss francs one hundred and fifteen point six billion dollars in nineteen eighty seven', 'assets more than doubled since then to one hundred sixteen point four billion swiss francs one hundred fifteen point six billion dollars in nineteen eighty seven'] |
|
[
"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",
"they're business isn't just a job but they're investment",
"their business isn't just a job but they're investments"
]
| 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", "they're business isn't just a job but they're investment", "their business isn't just a job but they're investments"] |
|
[
"in a dutch auction holders tender their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share",
"in a dutch auction holders tend to their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share",
"in a dutch auction holders tendered their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share",
"in a dutch auction holders tend their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share",
"in a dutch auction holders tender their shares at prices within a stated range in this case between dollar twenty eight and dollar thirty three a 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.
['in a dutch auction holders tender their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share', 'in a dutch auction holders tend to their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share', 'in a dutch auction holders tendered their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share', 'in a dutch auction holders tend their shares at prices within a stated range in this case between twenty eight dollars and thirty three dollars a share', 'in a dutch auction holders tender their shares at prices within a stated range in this case between dollar twenty eight and dollar thirty three a share'] |
|
[
"economists were encouraged by a one point six percentage increase in new orders for non defense capital goods an important indicator of future business investment",
"economists were encouraged by a one point six percentage increase in new orders for nondefense capital goods an important indicator of future business investment",
"economists were encouraged by a one point six percent increase in new orders for non defense capital goods an important indicator of future business investment",
"economists were encouraged by a one point six percent increase in new orders for nondefense capital goods an important indicator of future business investment",
"economists were encouraged by a one point six percentage increase in new orders for non defence capital goods an important indicator of future business 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.
['economists were encouraged by a one point six percentage increase in new orders for non defense capital goods an important indicator of future business investment', 'economists were encouraged by a one point six percentage increase in new orders for nondefense capital goods an important indicator of future business investment', 'economists were encouraged by a one point six percent increase in new orders for non defense capital goods an important indicator of future business investment', 'economists were encouraged by a one point six percent increase in new orders for nondefense capital goods an important indicator of future business investment', 'economists were encouraged by a one point six percentage increase in new orders for non defence capital goods an important indicator of future business investment'] |
|
[
"owens illinois said its share purchases would be financed by existing credit lines and new ones to be arranged",
"owens illinois said its share repurchases would be financed by existing credit lines and new ones to be arranged",
"illinois said its share purchases would be financed by existing credit lines and new ones to be arranged",
"owens illinois said its share purchases will be financed by existing credit lines and new ones to be arranged",
"owens illinois said it's share purchases would be financed by existing credit lines and new ones to be arranged"
]
| 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.
['owens illinois said its share purchases would be financed by existing credit lines and new ones to be arranged', 'owens illinois said its share repurchases would be financed by existing credit lines and new ones to be arranged', 'illinois said its share purchases would be financed by existing credit lines and new ones to be arranged', 'owens illinois said its share purchases will be financed by existing credit lines and new ones to be arranged', "owens illinois said it's share purchases would be financed by existing credit lines and new ones to be arranged"] |
|
[
"cutting into the store with the appeal of last night previously set up a case",
"cutting into the store with the appeal of last night previously set up case",
"cutting into the store with the appeal of last night previously set up the case",
"cutting into the store with the appeal of glass i've previously set up the case",
"cutting into the store with the appeal of glass i've previously set up a case"
]
| 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.
['cutting into the store with the appeal of last night previously set up a case', 'cutting into the store with the appeal of last night previously set up case', 'cutting into the store with the appeal of last night previously set up the case', "cutting into the store with the appeal of glass i've previously set up the case", "cutting into the store with the appeal of glass i've previously set up a case"] |
|
[
"utility analysts however expect the agreement to be completed without much difficulty",
"utility analysis however expect the agreement to be completed without much difficulty",
"utility analysts however expect the agreement to be completed with not much difficulty",
"utilities analysts however expect the agreement to be completed without much difficulty",
"utility analyst however expect the agreement to be completed without much difficulty"
]
| 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.
['utility analysts however expect the agreement to be completed without much difficulty', 'utility analysis however expect the agreement to be completed without much difficulty', 'utility analysts however expect the agreement to be completed with not much difficulty', 'utilities analysts however expect the agreement to be completed without much difficulty', 'utility analyst however expect the agreement to be completed without much difficulty'] |
|
[
"but on the first read through the case is about merit and we intend to fight it",
"but on the first readthrough the case is about merit and we intend to fight it",
"but on the first read through the case is without merit and we intend to fight it",
"but in the first read through the case is about merit and we intend to fight it",
"but on the first read through the case is about merit and we intend to find 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 read through the case is about merit and we intend to fight it', 'but on the first readthrough the case is about merit and we intend to fight it', 'but on the first read through the case is without merit and we intend to fight it', 'but in the first read through the case is about merit and we intend to fight it', 'but on the first read through the case is about merit and we intend to find it'] |
|
[
"last october new york's body positive already has sixteen groups meeting every two weeks",
"last october newland's body positive already has sixteen groups meeting every two weeks",
"remember last october new york's body positive already has sixteen groups meeting every two weeks",
"remember last october newland's body positive already has sixteen groups meeting every two weeks",
"i remember last october new york's body positive already has sixteen groups meeting every two weeks"
]
| 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.
["last october new york's body positive already has sixteen groups meeting every two weeks", "last october newland's body positive already has sixteen groups meeting every two weeks", "remember last october new york's body positive already has sixteen groups meeting every two weeks", "remember last october newland's body positive already has sixteen groups meeting every two weeks", "i remember last october new york's body positive already has sixteen groups meeting every two weeks"] |
|
[
"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",
"sony which lost points in previous sessions this week rebounded eighty to five one hundred thirty",
"sony which lost points in the previous sessions this week rebounded eighty to five thousand one hundred and thirty",
"sony which lost points in previous sessions this week rebounded eighty percentage to five thousand one hundred and 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 and thirty', '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 one hundred thirty', 'sony which lost points in the previous sessions this week rebounded eighty to five thousand one hundred and thirty', 'sony which lost points in previous sessions this week rebounded eighty percentage to five thousand one hundred and thirty'] |
|
[
"he cites the law of large numbers can you really expect it to grow in large numbers very long",
"he cites the law of large numbers can you really expect it to grow large numbers very long",
"he cites the law of large numbers can you really expect it to grow in large numbers for very long",
"he cites a law of large numbers can you really expect it to grow in large numbers very long",
"he cites the law of large numbers can you really expect it to grow and large numbers very long"
]
| 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 cites the law of large numbers can you really expect it to grow in large numbers very long', 'he cites the law of large numbers can you really expect it to grow large numbers very long', 'he cites the law of large numbers can you really expect it to grow in large numbers for very long', 'he cites a law of large numbers can you really expect it to grow in large numbers very long', 'he cites the law of large numbers can you really expect it to grow and large numbers very long'] |
|
[
"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 was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight",
"the low was one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight",
"the low was one thousand two hundred seventy one nine and the high was one thousand two hundred seventy three point eight 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 was one thousand two hundred and seventy point one nine and the high was one thousand two hundred and seventy three point eight', 'the low was one thousand two hundred seventy point one nine and the high was one thousand two hundred seventy three point eight', 'the low was one thousand two hundred seventy one nine and the high was one thousand two hundred seventy three point eight eight'] |
|
[
"a change in the firm's ownership also should turn on a bright warning light",
"a change in the firms ownership also should turn on a bright warning light",
"a change in the firm's ownership should also turn on a 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"
]
| 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 firms ownership also should turn on a bright warning light', "a change in the firm's ownership should also turn on a 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"] |
|
[
"prices are going up said george c eads vice president and chief economist at general motors corporation",
"prices are going up said george c eats vice president and chief economist at general motors corporation",
"prices are going up said george c eeds vice president and chief economist at general motors corporation",
"prices are going up said george c eds vice president and chief economist at general motors corporation",
"prices are going up and said george c eads 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 eads vice president and chief economist at general motors corporation', 'prices are going up said george c eats vice president and chief economist at general motors corporation', 'prices are going up said george c eeds vice president and chief economist at general motors corporation', 'prices are going up said george c eds vice president and chief economist at general motors corporation', 'prices are going up and said george c eads vice president and chief economist at general motors corporation'] |
|
[
"civicorp had twenty one point five billion dollars in capital at the end of last year",
"citicorp had twenty one point five billion dollars in capital at the end of last year",
"cepicorp had twenty one point five billion dollars in capital at the end of last year",
"citycorp had twenty one point five billion dollars in capital at the end of last year",
"cipicorp had twenty one point five billion dollars in capital at the end of last 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.
['civicorp had twenty one point five billion dollars in capital at the end of last year', 'citicorp had twenty one point five billion dollars in capital at the end of last year', 'cepicorp had twenty one point five billion dollars in capital at the end of last year', 'citycorp had twenty one point five billion dollars in capital at the end of last year', 'cipicorp had twenty one point five billion dollars in capital at the end of last year'] |
|
[
"about three point five billion dollars in security were affected",
"about three point five billion dollars in security of our affected",
"about three point five billion dollars in security for our affected",
"about three point five billion dollars in securities are affected",
"about three point five billion dollars in securities were 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 security were affected', 'about three point five billion dollars in security of our affected', 'about three point five billion dollars in security for our affected', 'about three point five billion dollars in securities are affected', 'about three point five billion dollars in securities were affected'] |
|
[
"the percentage changes since year end",
"the percentage change is since year end",
"with the percentage changes since year end",
"the percentage changed since year end",
"the percent changes since year end"
]
| 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 percentage changes since year end', 'the percentage change is since year end', 'with the percentage changes since year end', 'the percentage changed since year end', 'the percent changes since year end'] |
|
[
"even some bigger companies cautioned that they are wary of paying too big a premium",
"even some bigger companies caution that they are wary of paying too big a premium",
"even some bigger companies cautioned that they are weary of paying too big a premium",
"even some bigger companies caution that they are weary of paying too big a premium",
"even some bigger companies cautioned that they are leary of paying too big a premium"
]
| 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.
['even some bigger companies cautioned that they are wary of paying too big a premium', 'even some bigger companies caution that they are wary of paying too big a premium', 'even some bigger companies cautioned that they are weary of paying too big a premium', 'even some bigger companies caution that they are weary of paying too big a premium', 'even some bigger companies cautioned that they are leary of paying too big a premium'] |
|
[
"money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basically",
"money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership based",
"money managers who sell their firms but then continue working for them may be less dedicated on renewed ownership basis",
"money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basis",
"money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basic"
]
| 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.
['money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basically', 'money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership based', 'money managers who sell their firms but then continue working for them may be less dedicated on renewed ownership basis', 'money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basis', 'money managers who sell their firms but then continue working for them may be less dedicated and renewed ownership basic'] |
|
[
"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 computer retailer 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 computer retailer has been tough on everybody'] |
|
[
"a lengthy fight is likely",
"lengthy fight is likely",
"a length fight is likely",
"a lengthy fight is likely to",
"a lengthy flight is likely"
]
| 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 lengthy fight is likely', 'lengthy fight is likely', 'a length fight is likely', 'a lengthy fight is likely to', 'a lengthy flight is likely'] |
|
[
"those identified as beneficial owners hold at least ten percent of the coverage of these equity securities",
"those identified as beneficial owners hold at least ten percent of the coverage of those equity securities",
"those identified as beneficial owners hold at least ten percent of the cover for these equity securities",
"those identified as beneficial owners hold at least ten percent of the coverage of this equity securities",
"those identified as beneficial owners hold at least ten percent of the covered face equity securities"
]
| 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.
['those identified as beneficial owners hold at least ten percent of the coverage of these equity securities', 'those identified as beneficial owners hold at least ten percent of the coverage of those equity securities', 'those identified as beneficial owners hold at least ten percent of the cover for these equity securities', 'those identified as beneficial owners hold at least ten percent of the coverage of this equity securities', 'those identified as beneficial owners hold at least ten percent of the covered face equity securities'] |
|
[
"so normalcy has returned",
"so normalcy is returned",
"so normalcy has return",
"no normalcy has returned",
"normalcy has 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 normalcy is returned', 'so normalcy has return', 'no normalcy has returned', 'normalcy has returned'] |
|
[
"but if the winning bids are as high as they were in some deals earlier this year then we're not going to be winning bidders",
"but as the winning bids are as high as they were in some deals earlier this year then we're not going to be winning bidders",
"but if the winning bids are as high as they were on some deals earlier this year then we're not going to be winning bidders",
"but if the winning bids are as high as they were in some deals early this year then we're not going to be winning bidders",
"but if the winning bids are as high as they were in some deals earlier this year then we are not going to be winning bidders"
]
| 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 if the winning bids are as high as they were in some deals earlier this year then we're not going to be winning bidders", "but as the winning bids are as high as they were in some deals earlier this year then we're not going to be winning bidders", "but if the winning bids are as high as they were on some deals earlier this year then we're not going to be winning bidders", "but if the winning bids are as high as they were in some deals early this year then we're not going to be winning bidders", 'but if the winning bids are as high as they were in some deals earlier this year then we are not going to be winning bidders'] |
|
[
"it received no proposals that were in the best interest of the shareholders he said",
"it received no proposals that were in the best interest of the shareholders i said",
"it received no proposals that were in the best interests of the shareholders he said",
"it received no proposals that were in the best interest of the shareholders it said",
"it received no proposals that were in the best interest of the shareholders then he 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 he said', 'it received no proposals that were in the best interest of the shareholders i said', 'it received no proposals that were in the best interests of the shareholders he said', 'it received no proposals that were in the best interest of the shareholders it said', 'it received no proposals that were in the best interest of the shareholders then he said'] |
|
[
"here are price trends on the world's major stock markets as calculated by morgan stanley capitals international perspective geneva",
"here are price trends on the world's major stock markets as calculated by morgan stanley capital's international perspective geneva",
"here are price trends on the world's major stock markets as calculated by morgan stanley capital international perspective geneva",
"here are price trends on the world's major stock markets as calculated by morgan stanley capital of international perspective geneva",
"here are price trends on the world's major stock market as calculated by morgan stanley capitals international perspective geneva"
]
| 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.
["here are price trends on the world's major stock markets as calculated by morgan stanley capitals international perspective geneva", "here are price trends on the world's major stock markets as calculated by morgan stanley capital's international perspective geneva", "here are price trends on the world's major stock markets as calculated by morgan stanley capital international perspective geneva", "here are price trends on the world's major stock markets as calculated by morgan stanley capital of international perspective geneva", "here are price trends on the world's major stock market as calculated by morgan stanley capitals international perspective geneva"] |
|
[
"the transaction requires approval of a majority of the shares of the holders and not affiliated with mr icon",
"the transaction requires approval of a majority of the shares of the holders not affiliated with mr icon",
"the transaction requires approval of a majority of the shares of the holders and not affiliated with mister icon",
"the transaction requires approval of a majority of the shares of the holders not affiliated with mister icon",
"the transaction requires approval of a majority of the shares of the holders are not affiliated with mr icon"
]
| 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 transaction requires approval of a majority of the shares of the holders and not affiliated with mr icon', 'the transaction requires approval of a majority of the shares of the holders not affiliated with mr icon', 'the transaction requires approval of a majority of the shares of the holders and not affiliated with mister icon', 'the transaction requires approval of a majority of the shares of the holders not affiliated with mister icon', 'the transaction requires approval of a majority of the shares of the holders are not affiliated with mr icon'] |
|
[
"washington national is a financial services concern",
"washington nationals a financial services concern",
"washington national as a financial services concern",
"washington national's a financial services concern",
"washington nationals is a financial services concern"
]
| 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 is a financial services concern', 'washington nationals a financial services concern', 'washington national as a financial services concern', "washington national's a financial services concern", 'washington nationals is a financial services concern'] |
|
[
"if the dollar starts to plunge the fed may step up its defense currency",
"if the dollar starts to plunge the fed may step up its defence currency",
"if the dollar starts to plunge the fed may step up its defense",
"if the dollar starts to plunge the fed may step up its defensive currency",
"if the dollar starts to plunge the fed may step up its defense currencies"
]
| 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 currency', 'if the dollar starts to plunge the fed may step up its defence currency', 'if the dollar starts to plunge the fed may step up its defense', 'if the dollar starts to plunge the fed may step up its defensive currency', 'if the dollar starts to plunge the fed may step up its defense currencies'] |
|
[
"he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars per year",
"he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars per year",
"he said the company's goal is to have fifteen percent to twenty percentage revenue growth to about three point two billion dollars per year",
"he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars for the year",
"he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars dollars per 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.
["he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars per year", "he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars per year", "he said the company's goal is to have fifteen percent to twenty percentage revenue growth to about three point two billion dollars per year", "he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars for the year", "he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars dollars per year"] |
|
[
"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 report frequently are highly volatile from month to month",
"durable goods reports frequently were 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 report frequently are highly volatile from month to month', 'durable goods reports frequently were highly volatile from month to month'] |
|
[
"the following officers directors and large stockholders of companies reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stockholders of companies reported changes and holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stock holders of companies reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stock holders of companies reported changes and holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stockholders of companies reported changes in holding under the securities exchange act of nineteen thirty four"
]
| 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 following officers directors and large stockholders of companies reported changes in holdings under the securities exchange act of nineteen thirty four', 'the following officers directors and large stockholders of companies reported changes and holdings under the securities exchange act of nineteen thirty four', 'the following officers directors and large stock holders of companies reported changes in holdings under the securities exchange act of nineteen thirty four', 'the following officers directors and large stock holders of companies reported changes and holdings under the securities exchange act of nineteen thirty four', 'the following officers directors and large stockholders of companies reported changes in holding under the securities exchange act of nineteen thirty four'] |
|
[
"the language is a big problem",
"the language is the big problem",
"language is a big problem",
"the language has a big problem",
"the language's a big 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.
['the language is a big problem', 'the language is the big problem', 'language is a big problem', 'the language has a big problem', "the language's a big problem"] |
|
[
"but the penalties for failure are real",
"that the penalties for failure are real",
"like the penalties for failure are real",
"but penalties for failure are real",
"the penalties for failure are real"
]
| 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 penalties for failure are real', 'that the penalties for failure are real', 'like the penalties for failure are real', 'but penalties for failure are real', 'the penalties for failure are real'] |
|
[
"the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the program",
"the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the product",
"the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the property",
"the company which runs retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the program",
"the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the group"
]
| 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 lehman brothers its financial advisor to terminate discussions to sell the program', 'the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the product', 'the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the property', 'the company which runs retail automotive stores told shearson lehman brothers its financial adviser to terminate discussions to sell the program', 'the company which runs retail automotive stores told shearson lehman brothers its financial advisor to terminate discussions to sell the group'] |
|
[
"in europe an american middle east",
"in europe and americans in the least",
"in europe and americans at least",
"in europe an american middle eastern",
"in europe and america's middle east"
]
| 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 europe an american middle east', 'in europe and americans in the least', 'in europe and americans at least', 'in europe an american middle eastern', "in europe and america's middle east"] |
|
[
"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",
"micc investments has three series of publicly traded preferred shares and ten series of privately held preferred stock",
"micc investments has three series of publically 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"
]
| 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', 'mi cc 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', 'micc investments has three series of publically 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'] |
|
[
"several cities have versions of the british organization body positive",
"several cities have versions of the british organization by deposit",
"several cities have versions of the british organization by default",
"several cities have versions of the british organization by deposits",
"several cities have versions of the british organization buy deposit"
]
| 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 organization by deposit', 'several cities have versions of the british organization by default', 'several cities have versions of the british organization by deposits', 'several cities have versions of the british organization buy deposit'] |
|
[
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand monday",
"volume was eighteen million one hundred ninety thousand shares compared to ten million five hundred fifty thousand monday",
"volume was eighteen million one hundred and ninety thousand shares compared with ten million five hundred fifty thousand monday",
"volume was eighteen million one hundred and ninety thousand shares compared with ten million five hundred and fifty thousand monday",
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred and fifty thousand monday"
]
| 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.
['volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand monday', 'volume was eighteen million one hundred ninety thousand shares compared to ten million five hundred fifty thousand monday', 'volume was eighteen million one hundred and ninety thousand shares compared with ten million five hundred fifty thousand monday', 'volume was eighteen million one hundred and ninety thousand shares compared with ten million five hundred and fifty thousand monday', 'volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred and fifty thousand monday'] |
|
[
"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 remained seven point seven percentage above the year's earlier level",
"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's 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 remained seven point seven percentage above the year's earlier level", "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's earlier level"] |
|
[
"first commodity appealed the expulsion and fine to the cftc",
"first commodity appealed the expulsion and fined to the cftc",
"first commodity appealed the expulsion and fine to the cftc",
"first commodity appealed the expulsion and fined the cftc",
"first commodity appealed the expulsion and fined to the cftc"
]
| 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 appealed the expulsion and fine to the cftc', 'first commodity appealed the expulsion and fined to the cftc', 'first commodity appealed the expulsion and fine to the cftc', 'first commodity appealed the expulsion and fined the cftc', 'first commodity appealed the expulsion and fined to the cftc'] |
|
[
"mci plans to begin offering the service at the end of this month",
"mci plans to begin offering a service at the end of this month",
"plans to begin offering the service at the end of this month",
"mci plans to begin offering this service at the end of this month",
"plans to begin offering a service at the end of this 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 the service at the end of this month', 'mci plans to begin offering a service at the end of this month', 'plans to begin offering the service at the end of this month', 'mci plans to begin offering this service at the end of this month', 'plans to begin offering a service at the end of this month'] |
|
[
"and i'm sure you have your own list",
"and i'm sure you have your request",
"and i am sure you have your own list",
"and i'm sure you have your office",
"and i'm sure you have your last"
]
| 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 i'm sure you have your own list", "and i'm sure you have your request", 'and i am sure you have your own list', "and i'm sure you have your office", "and i'm sure you have your last"] |
|
[
"to make them directly comparable each index is based on a close at nineteen sixty nine equal to one hundred",
"to make them directly comparable each index is based on close at nineteen sixty nine equal to one hundred",
"to make them directly comparable each index is based on close at nineteen sixty nine equally one hundred",
"to make them directly comparable each index is based on a close at nineteen sixty nine equally one hundred",
"to make them directly comparable each index is based on a close at nineteen sixty nine equal one hundred"
]
| 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.
['to make them directly comparable each index is based on a close at nineteen sixty nine equal to one hundred', 'to make them directly comparable each index is based on close at nineteen sixty nine equal to one hundred', 'to make them directly comparable each index is based on close at nineteen sixty nine equally one hundred', 'to make them directly comparable each index is based on a close at nineteen sixty nine equally one hundred', 'to make them directly comparable each index is based on a close at nineteen sixty nine equal one hundred'] |
|
[
"two years ago basf made three separate acquisitions in the us",
"two years ago baasf made three separate acquisitions in the us",
"two years ago basf made three separate acquisitions in the u",
"two years ago basf made three separate acquisitions in the us",
"two years ago baasf made three separate acquisitions in the u"
]
| 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.
['two years ago basf made three separate acquisitions in the us', 'two years ago baasf made three separate acquisitions in the us', 'two years ago basf made three separate acquisitions in the u', 'two years ago basf made three separate acquisitions in the us', 'two years ago baasf made three separate acquisitions in the u'] |
|
[
"texaco has three choices the company advisor says",
"texaco has three choices the company adviser says",
"texico has three choices the company advisor says",
"texico has three choices the company adviser says",
"texaco has three choices a company advisor says"
]
| 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.
['texaco has three choices the company advisor says', 'texaco has three choices the company adviser says', 'texico has three choices the company advisor says', 'texico has three choices the company adviser says', 'texaco has three choices a company advisor says'] |
|
[
"the following officers directors and large stakeholders of the companies reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stakeholders of the company's reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stakeholders of the company reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following officers directors and large stakeholders of companies reported changes in holdings under the securities exchange act of nineteen thirty four",
"the following offices directors and large stakeholders of the companies reported changes in holdings under the securities exchange act of nineteen thirty four"
]
| 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 following officers directors and large stakeholders of the companies reported changes in holdings under the securities exchange act of nineteen thirty four', "the following officers directors and large stakeholders of the company's reported changes in holdings under the securities exchange act of nineteen thirty four", 'the following officers directors and large stakeholders of the company reported changes in holdings under the securities exchange act of nineteen thirty four', 'the following officers directors and large stakeholders of companies reported changes in holdings under the securities exchange act of nineteen thirty four', 'the following offices directors and large stakeholders of the companies reported changes in holdings under the securities exchange act of nineteen thirty four'] |
|
[
"as one of the most acquisition hungry of major banks citigroup is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citigraph is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citigroup was often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citi group is often required by regulators to raise additional capital as a condition of making acquisitions"
]
| 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.
['as one of the most acquisition hungry of major banks citigroup is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citigraph is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citigroup was often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citi group is often required by regulators to raise additional capital as a condition of making acquisitions'] |
|
[
"they were sold to underwriters led by prudential boxes securities and corporations",
"they were sold to underwriters led by prudential boxes securities and corporate",
"they were sold to underwriters led by prudential bakkers securities and corporations",
"they were sold to underwriters led by prudential banking securities and corporate",
"they were sold to underwriters led by prudential banking securities and corporations"
]
| 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.
['they were sold to underwriters led by prudential boxes securities and corporations', 'they were sold to underwriters led by prudential boxes securities and corporate', 'they were sold to underwriters led by prudential bakkers securities and corporations', 'they were sold to underwriters led by prudential banking securities and corporate', 'they were sold to underwriters led by prudential banking securities and corporations'] |
|
[
"a print media campaign will begin the following day",
"a print media campaign will begin on the following day",
"a print media campaign will began the following day",
"a print media campaign will begun the following day",
"a print media campaign would 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 will begin on the following day', 'a print media campaign will began the following day', 'a print media campaign will begun the following day', 'a print media campaign would begin the following day'] |
|
[
"estimates for the game range from two percent to three percent",
"estimates for the game range from two percentage to three percentage",
"estimates for the gain range from two percent to three percent",
"estimates for the gain range from two percentage to three percentage",
"estimates for the game ranged from two percent to three 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.
['estimates for the game range from two percent to three percent', 'estimates for the game range from two percentage to three percentage', 'estimates for the gain range from two percent to three percent', 'estimates for the gain range from two percentage to three percentage', 'estimates for the game ranged from two percent to three percent'] |
|
[
"washington national paid nineteen dollars a share for the twenty sixteen united states share speaking already",
"washington national paid nineteen dollars a share for the twenty sixteen united states share speaking ardu",
"washington national paid nineteen dollars a share for the two thousand sixteen united states share speaking already",
"washington national paid nineteen dollars a share for the twenty sixteen united states share speaking argument",
"washington national paid nineteen dollars a share for the two thousand sixteen united states share speaking ardu"
]
| 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 twenty sixteen united states share speaking already', 'washington national paid nineteen dollars a share for the twenty sixteen united states share speaking ardu', 'washington national paid nineteen dollars a share for the two thousand sixteen united states share speaking already', 'washington national paid nineteen dollars a share for the twenty sixteen united states share speaking argument', 'washington national paid nineteen dollars a share for the two thousand sixteen united states share speaking ardu'] |
|
[
"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 lehman brothers a lead underwriter",
"the unsolved 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 leeman 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"
]
| 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 lehman brothers a lead underwriter', 'the unsolved 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 leeman 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 institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five percentage",
"the institute said earned premiums rose three point one percent in the second quarter failing to keep pace with inflation which rose four point five percent",
"institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five percentage",
"the institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five",
"the institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five 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 institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five percentage', 'the institute said earned premiums rose three point one percent in the second quarter failing to keep pace with inflation which rose four point five percent', 'institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five percentage', 'the institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five', 'the institute said earned premiums rose three point one percentage in the second quarter failing to keep pace with inflation which rose four point five percent'] |
|
[
"closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments",
"closely held times publishing also has two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments",
"closely held times publishing also owns two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments",
"closely held times publishing also has two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments",
"closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local government"
]
| 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.
['closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments', 'closely held times publishing also has two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments', 'closely held times publishing also owns two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments', 'closely held times publishing also has two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments', 'closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local government'] |
|
[
"a print media campaign will begin the following day",
"a print media campaign will begin on the following day",
"a a print media campaign will begin the following day",
"yeah a print media campaign will begin 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 will begin on the following day', 'a a print media campaign will begin the following day', 'yeah a print media campaign will begin the following day', 'the print media campaign will begin the following day'] |
|
[
"and both mortgaged their homes to secure the loans they needed to start the business",
"and both mortgage their homes to secure the loans they needed to start the business",
"and both mortgaged their homes to secure the loans they needed to start their business",
"both mortgaged their homes to secure the loans they needed to start the business",
"and both mortgaged their homes to secure the loans that they needed to start 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.
['and both mortgaged their homes to secure the loans they needed to start the business', 'and both mortgage their homes to secure the loans they needed to start the business', 'and both mortgaged their homes to secure the loans they needed to start their business', 'both mortgaged their homes to secure the loans they needed to start the business', 'and both mortgaged their homes to secure the loans that they needed to start the business'] |
|
[
"about all the businessmen can count on is the policy will be pretty volatile",
"about all the businessmen can count on as the policy will be pretty volatile",
"about all the businessmen can count on is that policy will be pretty volatile",
"about all the businessmen can count on is their policy will be pretty volatile",
"about all the businessmen can count on is that the 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 businessmen can count on is the policy will be pretty volatile', 'about all the businessmen can count on as the policy will be pretty volatile', 'about all the businessmen can count on is that policy will be pretty volatile', 'about all the businessmen can count on is their policy will be pretty volatile', 'about all the businessmen can count on is that the policy will be pretty volatile'] |
|
[
"in fiscal nineteen eighty seven wang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars",
"in fiscal nineteen eighty seven wang had a loss of seventy point seven million dollars on a revenue of two point eight four billion dollars",
"in fiscal nineteen eighty seven lang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars",
"in fiscal nineteen eighty seven whang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars",
"in fiscal nineteen eighty seven flang had a loss of seventy point seven million dollars on revenue of two point eight four billion 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.
['in fiscal nineteen eighty seven wang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars', 'in fiscal nineteen eighty seven wang had a loss of seventy point seven million dollars on a revenue of two point eight four billion dollars', 'in fiscal nineteen eighty seven lang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars', 'in fiscal nineteen eighty seven whang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars', 'in fiscal nineteen eighty seven flang had a loss of seventy point seven million dollars on revenue of two point eight four billion dollars'] |
|
[
"the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representing the machinists",
"the order issued late wednesday by judge shayana murphy stems from a suit filed in federal court last month by the union representing the machinists",
"the order issued late wednesday by judge sihanna murphy stems from a suit filed in federal court last month by the union representing the machinists",
"the order issued late wednesday by judge sianna murphy stems from a suit filed in federal court last month by the union representing the machinists",
"the order issued late wednesday by judge siana murphy stems from a suit filed in federal court last month by the union representing the machinists"
]
| 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 order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representing the machinists', 'the order issued late wednesday by judge shayana murphy stems from a suit filed in federal court last month by the union representing the machinists', 'the order issued late wednesday by judge sihanna murphy stems from a suit filed in federal court last month by the union representing the machinists', 'the order issued late wednesday by judge sianna murphy stems from a suit filed in federal court last month by the union representing the machinists', 'the order issued late wednesday by judge siana murphy stems from a suit filed in federal court last month by the union representing the machinists'] |
|
[
"has exposure really been reduced",
"have exposure really been reduced",
"has exposure really been reduced yeah",
"has exposure been reduced",
"exposed has exposure really been reduced"
]
| 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.
['has exposure really been reduced', 'have exposure really been reduced', 'has exposure really been reduced yeah', 'has exposure been reduced', 'exposed has exposure really been reduced'] |
|
[
"the real estate investment trust said it was still hoping to reach a new credit arrangement",
"the real estate investment trust said he was still hoping to reach a new credit arrangement",
"the real estate investment trust said it was still hoping to reach a new credit agreement",
"the real estate investment trust said he was still hoping to reach a new credit agreement",
"uh the real estate investment trust said it was still hoping to reach a new credit arrangement"
]
| 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 real estate investment trust said it was still hoping to reach a new credit arrangement', 'the real estate investment trust said he was still hoping to reach a new credit arrangement', 'the real estate investment trust said it was still hoping to reach a new credit agreement', 'the real estate investment trust said he was still hoping to reach a new credit agreement', 'uh the real estate investment trust said it was still hoping to reach a new credit arrangement'] |
|
[
"realized capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million dollars",
"zealous capital gains increased forty two percentage to nine hundred and nine million dollars from six hundred and forty point nine million dollars",
"realized capital gains increased forty two percentage to nine hundred nine million dollars from six hundred forty point nine million dollars",
"zealous capital gains increased forty two percentage to nine hundred nine million dollars from six hundred forty point nine million dollars",
"zealous capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million 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.
['realized capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million dollars', 'zealous capital gains increased forty two percentage to nine hundred and nine million dollars from six hundred and forty point nine million dollars', 'realized capital gains increased forty two percentage to nine hundred nine million dollars from six hundred forty point nine million dollars', 'zealous capital gains increased forty two percentage to nine hundred nine million dollars from six hundred forty point nine million dollars', 'zealous capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million dollars'] |
|
[
"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 that auto imports usually rise in october as dealers filled 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 inventory with new models",
"commerce department officials note however that auto imports usually rise in october as dealers fill their inventories with new models"
]
| 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 that auto imports usually rise in october as dealers filled 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 inventory with new models', 'commerce department officials note however that auto imports usually rise in october as dealers fill their inventories with new models'] |
|
[
"also a move to base abroad will have tax advantages",
"also move to base abroad will have tax advantages",
"also the move to base abroad will have tax advantages",
"also a move to basic abroad will have tax advantages",
"also to move to base abroad will have tax advantages"
]
| 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.
['also a move to base abroad will have tax advantages', 'also move to base abroad will have tax advantages', 'also the move to base abroad will have tax advantages', 'also a move to basic abroad will have tax advantages', 'also to move to base abroad will have tax advantages'] |
|
[
"micc said it intends to pay the dividend arrears on july thirty first to stock the record july second",
"mcc said it intends to pay the dividend arrears on july thirty first to stock the record july second",
"mic said it intends to pay the dividend arrears on july thirty first to stock the record july second",
"nicc said it intends to pay the dividend arrears on july thirty first to stock the record july second",
"micc said it intends to pay the dividend arrears on july thirty first to stock up record july second"
]
| 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 said it intends to pay the dividend arrears on july thirty first to stock the record july second', 'mcc said it intends to pay the dividend arrears on july thirty first to stock the record july second', 'mic said it intends to pay the dividend arrears on july thirty first to stock the record july second', 'nicc said it intends to pay the dividend arrears on july thirty first to stock the record july second', 'micc said it intends to pay the dividend arrears on july thirty first to stock up record july second'] |
|
[
"it's too unclear",
"it's still unclear",
"it's still not clear",
"it's to unclear",
"it's so 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 too unclear", "it's still unclear", "it's still not clear", "it's to unclear", "it's so unclear"] |
|
[
"utility analysts however expect the agreement to be completed without much difficulty",
"utilities analysts however expect the agreement to be completed without much difficulty",
"utility analyst however expect the agreement to be completed without much difficulty",
"utility analysts however expected the agreement to be completed without much difficulty",
"utility analysts however expect the agreement to be complete without much difficulty"
]
| 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.
['utility analysts however expect the agreement to be completed without much difficulty', 'utilities analysts however expect the agreement to be completed without much difficulty', 'utility analyst however expect the agreement to be completed without much difficulty', 'utility analysts however expected the agreement to be completed without much difficulty', 'utility analysts however expect the agreement to be complete without much difficulty'] |
|
[
"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 is 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 was priced after auction to yield from three point five in nineteen eighty seven to five point five percent 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 is 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 was priced after auction to yield from three point five in nineteen eighty seven to five point five percent in nineteen ninety seven'] |
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