hypothesis
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[
"visa and mastercard fees vary because they are set by the banks or other institutions that issue the cards",
"visa and mastercard fees vary because they're set by the banks or other institutions that issue the cards",
"visa and master card fees vary because they are set by the banks or other institutions that issue the cards",
"visa and master card fees vary because they're set by the banks or other institutions that issue the cards",
"visa and mastercard fees vary because they are set by the banks or other institutions the issue the cards"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['visa and mastercard fees vary because they are set by the banks or other institutions that issue the cards', "visa and mastercard fees vary because they're set by the banks or other institutions that issue the cards", 'visa and master card fees vary because they are set by the banks or other institutions that issue the cards', "visa and master card fees vary because they're set by the banks or other institutions that issue the cards", 'visa and mastercard fees vary because they are set by the banks or other institutions the issue the cards'] |
|
[
"washington national is a financial services concern",
"washington national is the financial services concern",
"washington national as a financial services concern",
"washington national is a financial service concern",
"washington national is a financial services concerned"
] | 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 national is the financial services concern', 'washington national as a financial services concern', 'washington national is a financial service concern', 'washington national is a financial services concerned'] |
|
[
"washington national paid nineteen dollars a share for the two point six million united presidents there it didn't already own",
"washington national paid nineteen dollars a share for the two point six million united presidential share it didn't already own",
"washington national paid nineteen dollars a share for the two point six million united presidential narrative it didn't already own",
"washington national paid nineteen dollars a share for the two point six million united presidential there it didn't already own",
"washington national paid nineteen dollars a share for the two point six million united presidential nursery it didn't already own"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["washington national paid nineteen dollars a share for the two point six million united presidents there it didn't already own", "washington national paid nineteen dollars a share for the two point six million united presidential share it didn't already own", "washington national paid nineteen dollars a share for the two point six million united presidential narrative it didn't already own", "washington national paid nineteen dollars a share for the two point six million united presidential there it didn't already own", "washington national paid nineteen dollars a share for the two point six million united presidential nursery it didn't already own"] |
|
[
"yesterday moody's investors service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery",
"yesterday moody's investor service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery",
"yesterday moody's investors service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery",
"yesterday moody's investors service raised lilko's credit ratings in recognition of the improved outlook for steady financial recovery",
"yesterday moody's investor service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery"
] | 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 moody's investors service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery", "yesterday moody's investor service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery", "yesterday moody's investors service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery", "yesterday moody's investors service raised lilko's credit ratings in recognition of the improved outlook for steady financial recovery", "yesterday moody's investor service raised lilco's credit ratings in recognition of the improved outlook for steady financial recovery"] |
|
[
"texaco has three choices a company advisor says",
"texaco has three choices a company adviser says",
"texico has three choices a company advisor says",
"texaco has three choices the company advisor says",
"texico has three choices a company adviser 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 a company advisor says', 'texaco has three choices a company adviser says', 'texico has three choices a company advisor says', 'texaco has three choices the company advisor says', 'texico has three choices a company adviser says'] |
|
[
"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 analyst value the company at about six hundred fifty million dollars",
"industry analysts valued the company at about six hundred fifty 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.
['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 analyst value the company at about six hundred fifty million dollars', 'industry analysts valued the company at about six hundred fifty million dollars'] |
|
[
"he declined to name specific products",
"he decline to name specific products",
"he declined name specific products",
"he declines to name specific products",
"he declined the name specific products"
] | 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 declined to name specific products', 'he decline to name specific products', 'he declined name specific products', 'he declines to name specific products', 'he declined the name specific products'] |
|
[
"the numbers looked amazingly good industrial growth rates above ten percentage per year year after year",
"the numbers look amazingly good industrial growth rates above ten percentage per year year after year",
"the numbers looked amazingly good industrial growth rates above ten percent per year year after year",
"the numbers look amazingly good industrial growth rates above ten percent per year year after year",
"the numbers looked amazingly good industrial growth rates above ten percent year after year"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the numbers looked amazingly good industrial growth rates above ten percentage per year year after year', 'the numbers look amazingly good industrial growth rates above ten percentage per year year after year', 'the numbers looked amazingly good industrial growth rates above ten percent per year year after year', 'the numbers look amazingly good industrial growth rates above ten percent per year year after year', 'the numbers looked amazingly good industrial growth rates above ten percent year after year'] |
|
[
"monday's crash is likely to affect at least one other piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference",
"monday's crash is likely to affect at least one other piece of pending legislation a sweeping trade bill that is now the subject of a house senate conference",
"monday's crash is likely to affect at least one piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference",
"monday's crash is likely to effect at least one other piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference",
"monday's crash is likely to affect at least one other piece of pending legislation this sweeping trade bill that is now the subject of a house senate conference"
] | 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.
["monday's crash is likely to affect at least one other piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference", "monday's crash is likely to affect at least one other piece of pending legislation a sweeping trade bill that is now the subject of a house senate conference", "monday's crash is likely to affect at least one piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference", "monday's crash is likely to effect at least one other piece of pending legislation the sweeping trade bill that is now the subject of a house senate conference", "monday's crash is likely to affect at least one other piece of pending legislation this sweeping trade bill that is now the subject of a house senate conference"] |
|
[
"in response amfac shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday",
"in response amphac shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday",
"in response amfax shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday",
"in response amfac shares rose one dollar to forty seven dollars and seventy five cents in new york stock exchange composite trading yesterday",
"in response amfact shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading 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.
['in response amfac shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday', 'in response amphac shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday', 'in response amfax shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday', 'in response amfac shares rose one dollar to forty seven dollars and seventy five cents in new york stock exchange composite trading yesterday', 'in response amfact shares rose one dollar to forty seven dollars seventy five cents in new york stock exchange composite trading yesterday'] |
|
[
"sending the refugees back isn't their idea it's just what the opposition politicians are saying in our country these days",
"sending the refugees back isn't there idea it's just what the opposition politicians are saying in our country these days",
"sending the refugees back isn't their idea it is just what the opposition politicians are saying in our country these days",
"sending the refugees back is not their idea it's just what the opposition politicians are saying in our country these days",
"sending the refugees back isn t their idea it s just what the opposition politicians are saying in our country these days"
] | 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.
["sending the refugees back isn't their idea it's just what the opposition politicians are saying in our country these days", "sending the refugees back isn't there idea it's just what the opposition politicians are saying in our country these days", "sending the refugees back isn't their idea it is just what the opposition politicians are saying in our country these days", "sending the refugees back is not their idea it's just what the opposition politicians are saying in our country these days", 'sending the refugees back isn t their idea it s just what the opposition politicians are saying in our country these days'] |
|
[
"continental started the appeal process but recently settled the case",
"continentals started the appeal process but recently settled the case",
"the continental started the appeal process but recently settled the case",
"continental has started the appeal process but recently settled the case",
"continental started the appeal process but recently settle the 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.
['continental started the appeal process but recently settled the case', 'continentals started the appeal process but recently settled the case', 'the continental started the appeal process but recently settled the case', 'continental has started the appeal process but recently settled the case', 'continental started the appeal process but recently settle the case'] |
|
[
"what we don't know is how much is price and how much is volume",
"what we don't know is how much price and how much is volume",
"what we do not know is how much is price and how much is volume",
"what we don't know is how much is price and how much volume",
"we don't know is how much is price and how much is volume"
] | 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.
["what we don't know is how much is price and how much is volume", "what we don't know is how much price and how much is volume", 'what we do not know is how much is price and how much is volume', "what we don't know is how much is price and how much volume", "we don't know is how much is price and how much is volume"] |
|
[
"no one is making very much money on it acknowledges brian j kelly chairman of bell atlantic's investment development unit",
"no one is making very much money on it acknowledges brian j kelly chairman of bell atlantic's investment development units",
"no one is making very much money on it acknowledges bryan j kelly chairman of bell atlantic's investment development unit",
"no one is making very much money on it acknowledges brian j kelley chairman of bell atlantic's investment development unit",
"no one is making very much money on it acknowledges bryan j kelly chairman of bell atlantic's investment development units"
] | 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.
["no one is making very much money on it acknowledges brian j kelly chairman of bell atlantic's investment development unit", "no one is making very much money on it acknowledges brian j kelly chairman of bell atlantic's investment development units", "no one is making very much money on it acknowledges bryan j kelly chairman of bell atlantic's investment development unit", "no one is making very much money on it acknowledges brian j kelley chairman of bell atlantic's investment development unit", "no one is making very much money on it acknowledges bryan j kelly chairman of bell atlantic's investment development units"] |
|
[
"employment looked strong inflation was low and consumer spending and investment were holding up recently",
"employment looked strong inflation was low and consumer spending and investment were holding up reasonably",
"employment looked strong inflation was low and consumer spending and investment were holding up for recent growth",
"employment looked strong inflation was low and consumer spending and investment were holding up a reasonably",
"employment looked strong inflation was low and consumer spending and investment were holding up for recent reasons"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['employment looked strong inflation was low and consumer spending and investment were holding up recently', 'employment looked strong inflation was low and consumer spending and investment were holding up reasonably', 'employment looked strong inflation was low and consumer spending and investment were holding up for recent growth', 'employment looked strong inflation was low and consumer spending and investment were holding up a reasonably', 'employment looked strong inflation was low and consumer spending and investment were holding up for recent reasons'] |
|
[
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to sherson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to chearson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson leman brothers the lead underwriter"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to sherson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to chearson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to shearson leman brothers the lead underwriter'] |
|
[
"we didn't like that",
"yeah we didn't like that",
"we didn't liked that",
"and we didn't like that",
"he didn't like that"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["we didn't like that", "yeah we didn't like that", "we didn't liked that", "and we didn't like that", "he didn't like that"] |
|
[
"although those gains eroded during the afternoon stock prices stayed in the narrow range until the last half hour of trading",
"although those gains eroded during the afternoon stock prices stayed in a narrow range until the last half hour of trading",
"although those gains eroded during the afternoon stock prices stayed in narrow range until the last half hour of trading",
"although those gains eroded during the afternoon stock prices stayed narrow range until the last half hour of trading",
"although those gains eroded during the afternoon stock prices stayed within narrow range until the last half hour of trading"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although those gains eroded during the afternoon stock prices stayed in the narrow range until the last half hour of trading', 'although those gains eroded during the afternoon stock prices stayed in a narrow range until the last half hour of trading', 'although those gains eroded during the afternoon stock prices stayed in narrow range until the last half hour of trading', 'although those gains eroded during the afternoon stock prices stayed narrow range until the last half hour of trading', 'although those gains eroded during the afternoon stock prices stayed within narrow range until the last half hour of trading'] |
|
[
"the company previously traded over the counter",
"the company previously trade it over the counter",
"the company previously traded over the counter",
"that company previously traded over the counter",
"the company had previously traded over the counter"
] | 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 previously traded over the counter', 'the company previously trade it over the counter', 'the company previously traded over the counter', 'that company previously traded over the counter', 'the company had previously traded over the counter'] |
|
[
"in addition us west's data solutions business applied communications incorporated is working out well ahead of all of our schedules",
"in addition u s west's data solutions business applied communications incorporated is working out well ahead of all of our schedules",
"in addition us west's data solutions business applied communications incorporated is working out well and working better ahead of all of our schedules",
"in addition us west's data solutions business applied communications incorporated is working out well and looking better ahead of all of our schedules",
"in addition u s west's data solutions business applied communications incorporated is working out well and working better ahead of all of our schedules"
] | 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 addition us west's data solutions business applied communications incorporated is working out well ahead of all of our schedules", "in addition u s west's data solutions business applied communications incorporated is working out well ahead of all of our schedules", "in addition us west's data solutions business applied communications incorporated is working out well and working better ahead of all of our schedules", "in addition us west's data solutions business applied communications incorporated is working out well and looking better ahead of all of our schedules", "in addition u s west's data solutions business applied communications incorporated is working out well and working better ahead of all of our schedules"] |
|
[
"bids totaling five hundred and twenty five point five million dollars were submitted",
"bids totaling five hundred twenty five point five million dollars were submitted",
"bids totalling five hundred and twenty five point five million dollars were submitted",
"bids totalling five hundred twenty five point five million dollars were submitted",
"bids totaling five hundred and twenty five point five million dollars dollars were submitted"
] | 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.
['bids totaling five hundred and twenty five point five million dollars were submitted', 'bids totaling five hundred twenty five point five million dollars were submitted', 'bids totalling five hundred and twenty five point five million dollars were submitted', 'bids totalling five hundred twenty five point five million dollars were submitted', 'bids totaling five hundred and twenty five point five million dollars dollars were submitted'] |
|
[
"several airlines have also opposed the standards and may fight some aspects in court",
"several airlines have also opposed the standards and may fight some aspects of court",
"several airlines have also opposed the standards and may fight some aspects of the court",
"several airlines have also opposed to standards and may fight some aspects in court",
"several airlines have also opposed the standards and may fight some aspects of course"
] | 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 airlines have also opposed the standards and may fight some aspects in court', 'several airlines have also opposed the standards and may fight some aspects of court', 'several airlines have also opposed the standards and may fight some aspects of the court', 'several airlines have also opposed to standards and may fight some aspects in court', 'several airlines have also opposed the standards and may fight some aspects of course'] |
|
[
"however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen percent of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen percentage of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market",
"however investment income which represents thirteen of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["however investment income which represents thirteen percentage of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen percent of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen percent of the industry's revenues rose eleven percentage in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen percentage of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market", "however investment income which represents thirteen of the industry's revenues rose eleven percent in the quarter reflecting gains from the rising stock market"] |
|
[
"it had forecast a nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars",
"it had forecasted a nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars",
"it had forecast a nineteen eighty six fourth quarter loss of eighteen dollars million to twenty two million dollars",
"it had forecast a nineteen eighty six fourth quarter loss of eighteen dollars million to twenty two dollars million",
"it had forecast a nineteen eighty six fourth quarter loss of eighty million dollars to twenty two 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.
['it had forecast a nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars', 'it had forecasted a nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars', 'it had forecast a nineteen eighty six fourth quarter loss of eighteen dollars million to twenty two million dollars', 'it had forecast a nineteen eighty six fourth quarter loss of eighteen dollars million to twenty two dollars million', 'it had forecast a nineteen eighty six fourth quarter loss of eighty million dollars to twenty two million dollars'] |
|
[
"apbgc's spokeswoman declined to comment",
"apbgc spokeswoman declined to comment",
"a p b g c spokeswoman declined to comment",
"a pbgc spokeswoman declined to comment",
"a p b g c's spokeswoman declined to comment"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["apbgc's spokeswoman declined to comment", 'apbgc spokeswoman declined to comment', 'a p b g c spokeswoman declined to comment', 'a pbgc spokeswoman declined to comment', "a p b g c's spokeswoman declined to comment"] |
|
[
"the official declined to elaborate on projections for non telephone operations but cited several indicators of recent gains",
"the officials declined to elaborate on projections for non telephone operations but cited several indicators of recent gains",
"the official declined to elaborate on projections for non telephone operations and cited several indicators of recent gains",
"the official declined to elaborate on the projections for non telephone operations but cited several indicators of recent gains",
"the official decline to elaborate on projections for non telephone operations but cited several indicators of recent gains"
] | 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 official declined to elaborate on projections for non telephone operations but cited several indicators of recent gains', 'the officials declined to elaborate on projections for non telephone operations but cited several indicators of recent gains', 'the official declined to elaborate on projections for non telephone operations and cited several indicators of recent gains', 'the official declined to elaborate on the projections for non telephone operations but cited several indicators of recent gains', 'the official decline to elaborate on projections for non telephone operations but cited several indicators of recent gains'] |
|
[
"a print media campaign will begin the following day",
"a print media campaign will begin on the following day",
"a print media campaign would begin the following day",
"a print media campaign will begun the following day",
"a print media campaign will began 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 would begin the following day', 'a print media campaign will begun the following day', 'a print media campaign will began the following day'] |
|
[
"a commission spokesman said a decision on the appeal is expected soon",
"the commission spokesman said a decision on the appeal is expected soon",
"a commission's spokesman said a decision on the appeal is expected soon",
"a commission spokesperson said a decision on the appeal is expected soon",
"the commission's spokesman said a decision on the appeal is expected soon"
] | 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 commission spokesman said a decision on the appeal is expected soon', 'the commission spokesman said a decision on the appeal is expected soon', "a commission's spokesman said a decision on the appeal is expected soon", 'a commission spokesperson said a decision on the appeal is expected soon', "the commission's spokesman said a decision on the appeal is expected soon"] |
|
[
"it received no proposals that were in the best interest of the shareholders the company said",
"it received no proposals that were in the best interests of the shareholders the company said",
"it received no proposals that were in the best interest of the shareholders as the company said",
"it received no proposals that were in the best interest of shareholders the company said",
"it received no proposals that were in the best interest of the shareholders the company 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.
['it received no proposals that were in the best interest of the shareholders the company said', 'it received no proposals that were in the best interests of the shareholders the company said', 'it received no proposals that were in the best interest of the shareholders as the company said', 'it received no proposals that were in the best interest of shareholders the company said', 'it received no proposals that were in the best interest of the shareholders the company says'] |
|
[
"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 and major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisitions 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 in 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 citicorp was 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 citicorp is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry and major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisitions 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 in 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 citicorp was often required by regulators to raise additional capital as a condition of making acquisitions'] |
|
[
"cayo cerro was up sixty at five thousand two hundred sixty",
"cayo serra was up sixty at five thousand two hundred sixty",
"cayo sera was up sixty at five thousand two hundred sixty",
"kyocera was up sixty at five thousand two hundred sixty",
"cayocera was up sixty at five thousand two hundred sixty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cayo cerro was up sixty at five thousand two hundred sixty', 'cayo serra was up sixty at five thousand two hundred sixty', 'cayo sera was up sixty at five thousand two hundred sixty', 'kyocera was up sixty at five thousand two hundred sixty', 'cayocera was up sixty at five thousand two hundred sixty'] |
|
[
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percentage last month",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percent last month",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for us durable goods rose two point four percentage last month",
"according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percentage last month",
"according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percent last month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percentage last month', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for u s durable goods rose two point four percent last month', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders for us durable goods rose two point four percentage last month', "according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percentage last month", "according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders for u s durable goods rose two point four percent last month"] |
|
[
"if the fed pushes the dollar higher it may curb the demand for u s exports",
"if the fed pushes the dollar higher it may curb the demand for us exports",
"if the fed pushes the dollar higher it may curb demand for u s exports",
"if the fed pushes the dollar higher it may curb demand for us exports",
"if the fed pushes a dollar higher it may curb the demand for u s exports"
] | 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 fed pushes the dollar higher it may curb the demand for u s exports', 'if the fed pushes the dollar higher it may curb the demand for us exports', 'if the fed pushes the dollar higher it may curb demand for u s exports', 'if the fed pushes the dollar higher it may curb demand for us exports', 'if the fed pushes a dollar higher it may curb the demand for u s exports'] |
|
[
"although closed end funds have been around since at least the one thousand nine hundred twenty seconds they have boomed in popularity this year",
"although closed end funds have been around since at least the nineteen twenties they have boomed in popularity this year",
"although closed end funds have been around since at least the one thousand nine hundred and twenty seconds they have boomed in popularity this year",
"although closed in funds have been around since at least the one thousand nine hundred twenty seconds they have boomed in popularity this year",
"although closed end funds have been around since at least the nineteen twenty seconds they have boomed in popularity this year"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['although closed end funds have been around since at least the one thousand nine hundred twenty seconds they have boomed in popularity this year', 'although closed end funds have been around since at least the nineteen twenties they have boomed in popularity this year', 'although closed end funds have been around since at least the one thousand nine hundred and twenty seconds they have boomed in popularity this year', 'although closed in funds have been around since at least the one thousand nine hundred twenty seconds they have boomed in popularity this year', 'although closed end funds have been around since at least the nineteen twenty seconds they have boomed in popularity this year'] |
|
[
"after the third period ashland's coal operation began a process of becoming an independent company",
"after the third period ashland's coal operations began a process of becoming an independent company",
"after the third period ashlands coal operation began a process of becoming an independent company",
"after the third period ashland coal operation began a process of becoming an independent company",
"after the third period ashland's coal operation began the process of becoming an independent company"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["after the third period ashland's coal operation began a process of becoming an independent company", "after the third period ashland's coal operations began a process of becoming an independent company", 'after the third period ashlands coal operation began a process of becoming an independent company', 'after the third period ashland coal operation began a process of becoming an independent company', "after the third period ashland's coal operation began the process of becoming an independent company"] |
|
[
"it can sign off to the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan",
"it can sign off to the plan file a competing plan or take a completely passive roll that neither endorses nor opposes the plan",
"it can sign on to the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan",
"it can sign off to the plan file a competing plan or take a completely passive role that neither indorses nor opposes the plan",
"it can sign onto the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan"
] | 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 can sign off to the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan', 'it can sign off to the plan file a competing plan or take a completely passive roll that neither endorses nor opposes the plan', 'it can sign on to the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan', 'it can sign off to the plan file a competing plan or take a completely passive role that neither indorses nor opposes the plan', 'it can sign onto the plan file a competing plan or take a completely passive role that neither endorses nor opposes the plan'] |
|
[
"mr icons and an investor group key heads hold seventy two point seven percentage of twa's shares",
"mr icons and an investor group key heads hold seventy two point seven percentage of twa's shares",
"mr icons and an investor group key heads hold seventy two point seven percent of twa's shares",
"mr icons and an investor group key heads hold seventy two point seven percent of twa's shares",
"mister icons and an investor group key heads hold seventy two point seven percentage of twa's shares"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["mr icons and an investor group key heads hold seventy two point seven percentage of twa's shares", "mr icons and an investor group key heads hold seventy two point seven percentage of twa's shares", "mr icons and an investor group key heads hold seventy two point seven percent of twa's shares", "mr icons and an investor group key heads hold seventy two point seven percent of twa's shares", "mister icons and an investor group key heads hold seventy two point seven percentage of twa's shares"] |
|
[
"he cites the law of large numbers can be really expected to grow at large numbers very long",
"he cites the law of large numbers can be really expected to grow in large numbers very long",
"he cites the law large numbers can be really expected to grow at large numbers very long",
"he cites the law of large numbers can really be expected to grow at large numbers very long",
"he cites the law of large numbers can't be really expected to grow at 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 be really expected to grow at large numbers very long', 'he cites the law of large numbers can be really expected to grow in large numbers very long', 'he cites the law large numbers can be really expected to grow at large numbers very long', 'he cites the law of large numbers can really be expected to grow at large numbers very long', "he cites the law of large numbers can't be really expected to grow at large numbers very long"] |
|
[
"the language is a big problem",
"the language is the big problem",
"the language has a big problem",
"that language is 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', 'the language has a big problem', 'that language is a big problem', "the language's a big problem"] |
|
[
"in europe an american can at least read street signs",
"in europe an american can read at least street signs",
"in europe an american can at least read streetsigns",
"in europe an american can read street signs",
"in europe an american can at least read street science"
] | 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 can at least read street signs', 'in europe an american can read at least street signs', 'in europe an american can at least read streetsigns', 'in europe an american can read street signs', 'in europe an american can at least read street science'] |
|
[
"nonetheless the union has moved the experiment to richmond virginia and has received inquiries from other unions about its tactics",
"nonetheless the union has moved the experiment to richmond virginia and has received enquiries from other unions about its tactics",
"nonetheless the union has moved the experiment to richmond virginia and received inquiries from other unions about its tactics",
"nonetheless the union has move the experiment to richmond virginia and has received inquiries from other unions about its tactics",
"nevertheless the union has moved the experiment to richmond virginia and has received inquiries from other unions about its tactics"
] | 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.
['nonetheless the union has moved the experiment to richmond virginia and has received inquiries from other unions about its tactics', 'nonetheless the union has moved the experiment to richmond virginia and has received enquiries from other unions about its tactics', 'nonetheless the union has moved the experiment to richmond virginia and received inquiries from other unions about its tactics', 'nonetheless the union has move the experiment to richmond virginia and has received inquiries from other unions about its tactics', 'nevertheless the union has moved the experiment to richmond virginia and has received inquiries from other unions about its tactics'] |
|
[
"among export led electrical computer makers japan picture company fell fifty two thousand three hundred and twenty",
"among export led electrical and computer makers japan picture company fell fifty two thousand three hundred and twenty",
"among export led electrical computer makers japan victor company fell fifty two thousand three hundred and twenty",
"among export led electrical computer makers japan picture company fell fifty two thousand three hundred twenty",
"among export led electrical and computer makers japan picture company fell fifty two thousand three hundred 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 computer makers japan picture company fell fifty two thousand three hundred and twenty', 'among export led electrical and computer makers japan picture company fell fifty two thousand three hundred and twenty', 'among export led electrical computer makers japan victor company fell fifty two thousand three hundred and twenty', 'among export led electrical computer makers japan picture company fell fifty two thousand three hundred twenty', 'among export led electrical and computer makers japan picture company fell fifty two thousand three hundred twenty'] |
|
[
"the transaction requires approval of a majority of the shares of the holders not affiliated with mister aiken",
"the transaction requires approval of a majority of the shares of the holders not affiliated with mister icahn",
"the transaction requires approval of the majority of the shares of the holders not affiliated with mister aiken",
"the transaction requires approval of a majority of the shares of the holders not affiliated with mister iken",
"the transaction requires approval of the majority of the shares of the holders not affiliated with mister iken"
] | 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 not affiliated with mister aiken', 'the transaction requires approval of a majority of the shares of the holders not affiliated with mister icahn', 'the transaction requires approval of the majority of the shares of the holders not affiliated with mister aiken', 'the transaction requires approval of a majority of the shares of the holders not affiliated with mister iken', 'the transaction requires approval of the majority of the shares of the holders not affiliated with mister iken'] |
|
[
"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 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 tender their shares at prices within a stated range in this case between twenty eight 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 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 tender their shares at prices within a stated range in this case between twenty eight 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'] |
|
[
"salient shares closed unchanged on the big board at nine dollars seventy five cents",
"salient shares closed unchanged on the big board at nine dollars and seventy five cents",
"salent shares closed unchanged on the big board at nine dollars seventy five cents",
"salent shares closed unchanged on the big board at nine dollars and seventy five cents",
"salin's shares closed unchanged on the big board at nine dollars seventy five cents"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['salient shares closed unchanged on the big board at nine dollars seventy five cents', 'salient shares closed unchanged on the big board at nine dollars and seventy five cents', 'salent shares closed unchanged on the big board at nine dollars seventy five cents', 'salent shares closed unchanged on the big board at nine dollars and seventy five cents', "salin's shares closed unchanged on the big board at nine dollars seventy five cents"] |
|
[
"about three point five billion dollars of securities are affected",
"about three point five billion dollars in securities are affected",
"about three point five billion dollars dollars of securities are affected",
"about three point five billion of securities are affected",
"about three point five billion dollars of 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 of securities are affected', 'about three point five billion dollars in securities are affected', 'about three point five billion dollars dollars of securities are affected', 'about three point five billion of securities are affected', 'about three point five billion dollars of securities were affected'] |
|
[
"there shouldn't be any risk to the banks if this sort of stuff said lawrence cole a banking analyst at merrill lynch and company",
"there shouldn't be any risk to the banks if this sort of stuff said lawrence call a banking analyst at merrill lynch and company",
"there shouldn't be any risk to the banks in this sort of stuff said lawrence cole a banking analyst at merrill lynch and company",
"there shouldn't be any risk to the banks if this sort of stuff said lawrence kahn a banking analyst at merrill lynch and company",
"there shouldn't be any risk to the banks if this sort of stuff said lawrence call the banking analyst at merrill lynch and company"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["there shouldn't be any risk to the banks if this sort of stuff said lawrence cole a banking analyst at merrill lynch and company", "there shouldn't be any risk to the banks if this sort of stuff said lawrence call a banking analyst at merrill lynch and company", "there shouldn't be any risk to the banks in this sort of stuff said lawrence cole a banking analyst at merrill lynch and company", "there shouldn't be any risk to the banks if this sort of stuff said lawrence kahn a banking analyst at merrill lynch and company", "there shouldn't be any risk to the banks if this sort of stuff said lawrence call the banking analyst at merrill lynch and company"] |
|
[
"some critics including high reagan administration officials are raising the alarm that fed's policy is too tight and could cause a recession next year",
"some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year",
"some critics including high reagan administration officials are raising the alarm that fed's policy is too tight and could cause recession next year",
"some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause recession next year",
"some critics including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["some critics including high reagan administration officials are raising the alarm that fed's policy is too tight and could cause a recession next year", "some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause a recession next year", "some critics including high reagan administration officials are raising the alarm that fed's policy is too tight and could cause recession next year", "some critics including high reagan administration officials are raising the alarm that the fed's policy is too tight and could cause recession next year", 'some critics including high reagan administration officials are raising the alarm that the feds policy is too tight and could cause a recession next year'] |
|
[
"that would follow a two point two percent from the back",
"so that would follow a two point two percent from the back",
"but that would follow a two point two percent from the back",
"so that would follow a two point two percent from that",
"so that would follow a two point two percent from that band"
] | 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 from the back', 'so that would follow a two point two percent from the back', 'but that would follow a two point two percent from the back', 'so that would follow a two point two percent from that', 'so that would follow a two point two percent from that band'] |
|
[
"in the efforts to restore market confidence administration officials have emphasized that the economy's fundamentals remain sound",
"in the efforts to restore market confidence administrative 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 fundamentals remained sound",
"in the efforts to restore market confidence administration officials have emphasized the economy's fundamentals remain sound",
"in the efforts to restore market confidence administration officials have emphasised that the economy's fundamentals remain 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 confidence administrative 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 fundamentals remained sound", "in the efforts to restore market confidence administration officials have emphasized the economy's fundamentals remain sound", "in the efforts to restore market confidence administration officials have emphasised that the economy's fundamentals remain sound"] |
|
[
"the department previously said jobs rose by four hundred forty eight thousand to january",
"the department previously said jobs rose by four hundred forty eight thousand in january",
"the department previously said jobs rose by four hundred forty eight thousand dollars to january",
"the department previously said jobs rose by four hundred and forty eight thousand to january",
"the department previously said jobs rose by four hundred forty eight thousand dollars in january"
] | 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 department previously said jobs rose by four hundred forty eight thousand to january', 'the department previously said jobs rose by four hundred forty eight thousand in january', 'the department previously said jobs rose by four hundred forty eight thousand dollars to january', 'the department previously said jobs rose by four hundred and forty eight thousand to january', 'the department previously said jobs rose by four hundred forty eight thousand dollars in january'] |
|
[
"he declined to name specific products",
"he declines to name specific products",
"he decline to name specific products",
"he declined to name specific product",
"he declined the name specific products"
] | 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 declined to name specific products', 'he declines to name specific products', 'he decline to name specific products', 'he declined to name specific product', 'he declined the name specific products'] |
|
[
"realized capital gains increased forty two percentage to nine hundred nine million dollars from six hundred forty point nine million dollars",
"realized capital gains increased forty two percentage to nine hundred nine million dollars from six hundred and forty point nine million dollars",
"realized capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million dollars",
"realized 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 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 percentage to nine hundred nine million dollars from six hundred forty point nine million dollars', 'realized capital gains increased forty two percentage to nine hundred nine million dollars from six hundred and forty point nine million dollars', 'realized capital gains increased forty two percent to nine hundred nine million dollars from six hundred forty point nine million dollars', 'realized 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 nine million dollars'] |
|
[
"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",
"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",
"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",
"the institutes said earned premiums rose three point one percent 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 percent in the second quarter failing to keep pace with inflation which rose four point five percent', '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', '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', 'the institutes said earned premiums rose three point one percent in the second quarter failing to keep pace with inflation which rose four point five percent'] |
|
[
"if the dollar starts to plunge the fed may step up its defense of the currency",
"if the dollar starts to plunge the fed may step up its defence of the currency",
"if the dollar starts to plunge the fed may step up its defense on the currency",
"if the dollar starts to plunge the fed may step up its defence on the currency",
"if the dollar starts to plunge the fed may step up its defense off the currency"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['if the dollar starts to plunge the fed may step up its defense of the currency', 'if the dollar starts to plunge the fed may step up its defence of the currency', 'if the dollar starts to plunge the fed may step up its defense on the currency', 'if the dollar starts to plunge the fed may step up its defence on the currency', 'if the dollar starts to plunge the fed may step up its defense off the currency'] |
|
[
"it had sales of ninety one point five million dollars in the nineteen eighty six third quarter",
"it had sales of ninety one point five million dollars in the nineteen eighty sixth third quarter",
"it had sales of ninety one point five million dollars dollars in the nineteen eighty six third quarter",
"it had sales of ninety one point five dollars million in the nineteen eighty six third quarter",
"it had sales of ninety one point five million dollars and the nineteen eighty six third quarter"
] | 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 had sales of ninety one point five million dollars in the nineteen eighty six third quarter', 'it had sales of ninety one point five million dollars in the nineteen eighty sixth third quarter', 'it had sales of ninety one point five million dollars dollars in the nineteen eighty six third quarter', 'it had sales of ninety one point five dollars million in the nineteen eighty six third quarter', 'it had sales of ninety one point five million dollars and the nineteen eighty six third quarter'] |
|
[
"the index ended with a decline of zero point three five point to one thousand two hundred seventy two point one eight",
"the index ended with a decline of zero point three five point to one thousand two hundred and seventy two point one eight",
"the index ended with a decline of zero point three five points to one thousand two hundred seventy two point one eight",
"the index ended with a decline of zero point three five points to one thousand two hundred and seventy two point one eight",
"the index ended with a decline of zero point three five point to twelve seventy two point one 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 index ended with a decline of zero point three five point to one thousand two hundred seventy two point one eight', 'the index ended with a decline of zero point three five point to one thousand two hundred and seventy two point one eight', 'the index ended with a decline of zero point three five points to one thousand two hundred seventy two point one eight', 'the index ended with a decline of zero point three five points to one thousand two hundred and seventy two point one eight', 'the index ended with a decline of zero point three five point to twelve seventy two point one eight'] |
|
[
"in japan it's all greek so to speak",
"in japan it is all greek so to speak",
"in japan it s all greek so to speak",
"in japan its all greek so to speak",
"in japan it's all greek so to speak yeah"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["in japan it's all greek so to speak", 'in japan it is all greek so to speak', 'in japan it s all greek so to speak', 'in japan its all greek so to speak', "in japan it's all greek so to speak yeah"] |
|
[
"money managers who sell their firms but then continue working for them may be less dedicated under new ownership they say",
"money managers who sell their firms but then continue working for them maybe less dedicated under new ownership they say",
"money managers who sell their firms and then continue working for them may be less dedicated under new ownership they say",
"money managers who sell their firms but continue working for them may be less dedicated under new ownership they say",
"money managers who sell their firms but then continue working for them may be less dedicated and under new ownership they say"
] | 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 under new ownership they say', 'money managers who sell their firms but then continue working for them maybe less dedicated under new ownership they say', 'money managers who sell their firms and then continue working for them may be less dedicated under new ownership they say', 'money managers who sell their firms but continue working for them may be less dedicated under new ownership they say', 'money managers who sell their firms but then continue working for them may be less dedicated and under new ownership they say'] |
|
[
"revenue in the quarter more than doubled to three hundred and sixty two point four million dollars from one hundred and forty nine point two million dollars",
"revenue in the quarter more than doubled to three hundred sixty two point four million dollars from one hundred forty nine point two million dollars",
"revenue in the quarter more than doubled to three hundred sixty two point four million dollars from one hundred and forty nine point two million dollars",
"revenue in the quarter more than doubled to three hundred and sixty two point four million dollars from one hundred forty nine point two million dollars",
"revenue in the quarter more than doubled to three hundred and sixty two dollars four million dollars from one hundred and forty nine dollars two 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.
['revenue in the quarter more than doubled to three hundred and sixty two point four million dollars from one hundred and forty nine point two million dollars', 'revenue in the quarter more than doubled to three hundred sixty two point four million dollars from one hundred forty nine point two million dollars', 'revenue in the quarter more than doubled to three hundred sixty two point four million dollars from one hundred and forty nine point two million dollars', 'revenue in the quarter more than doubled to three hundred and sixty two point four million dollars from one hundred forty nine point two million dollars', 'revenue in the quarter more than doubled to three hundred and sixty two dollars four million dollars from one hundred and forty nine dollars two million dollars'] |
|
[
"lately computer retailing has been tough on everybody",
"lately computer retailing has been tough on everyone",
"lately computer retailing has been tough for everybody",
"lately computer retail has been tough on everybody",
"lately compute retailing has been tough on everybody"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['lately computer retailing has been tough on everybody', 'lately computer retailing has been tough on everyone', 'lately computer retailing has been tough for everybody', 'lately computer retail has been tough on everybody', 'lately compute retailing has been tough on everybody'] |
|
[
"in many ways that's just what ubs has done since mr say was named president in nineteen eighty",
"in many ways that's just what ubs has done since mr sae was named president in nineteen eighty",
"in many ways that's just what ubs has done since mister say was named president in nineteen eighty",
"in many ways that's just what ubs has done since mr said was named president in nineteen eighty",
"in many ways that's just what ubs has done since mister said was named president in nineteen eighty"
] | 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 many ways that's just what ubs has done since mr say was named president in nineteen eighty", "in many ways that's just what ubs has done since mr sae was named president in nineteen eighty", "in many ways that's just what ubs has done since mister say was named president in nineteen eighty", "in many ways that's just what ubs has done since mr said was named president in nineteen eighty", "in many ways that's just what ubs has done since mister said was named president in nineteen eighty"] |
|
[
"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 change though is on 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 change though is on how china looks'] |
|
[
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the ensole balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter",
"the unsold balance laid yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter",
"the untold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the ensole balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the unsold balance late yesterday was about thirty six point three million dollars according to shearson lehmann brothers the lead underwriter', 'the unsold balance laid yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter', 'the untold balance late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter'] |
|
[
"he also said that the company for the first time was developing drugs specifically for the every country consumer health camera",
"he also said that the company for the first time was developing drugs specifically for the every county consumer health camera",
"he also said that the company for the first time is developing drugs specifically for the every country consumer health camera",
"he also said that the company for the first time was developing drugs specifically for the agricultural consumer health camera",
"he also said that the company for the first time is developing drugs specifically for the every county consumer health camera"
] | 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 also said that the company for the first time was developing drugs specifically for the every country consumer health camera', 'he also said that the company for the first time was developing drugs specifically for the every county consumer health camera', 'he also said that the company for the first time is developing drugs specifically for the every country consumer health camera', 'he also said that the company for the first time was developing drugs specifically for the agricultural consumer health camera', 'he also said that the company for the first time is developing drugs specifically for the every county consumer health camera'] |
|
[
"manhattan industries continued to trade above the offer price yesterday indicating the market expects a higher bid",
"manhattan industries continued to trade about the offer price yesterday indicating the 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 about the offer price yesterday indicating the 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 about the offer price yesterday indicating the 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 about the offer price yesterday indicating the market expects a higher bid', 'manhattan industries continues to trade above the offer price yesterday indicating the market expects a higher bid'] |
|
[
"at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at one thousand four hundred eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at fourteen eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at one four eighteen point six",
"at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen points six"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at one thousand four hundred eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at fourteen eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at one four eighteen point six', 'at the close the financial times thirty share index was three point nine points lower at one thousand four hundred and eighteen points six'] |
|
[
"we are not prepared to be advocates for the kgb",
"we are not prepared to be advocates for the k gb",
"we are not prepared to be advocates for the kgv",
"we are not prepared to be advocates for the k g b",
"we're not prepared to be advocates for the kgb"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we are not prepared to be advocates for the kgb', 'we are not prepared to be advocates for the k gb', 'we are not prepared to be advocates for the kgv', 'we are not prepared to be advocates for the k g b', "we're not prepared to be advocates for the kgb"] |
|
[
"the american stock exchange index lost zero point seven three to three hundred and eighty point nine four",
"the american stock exchange index lost zero point seven three to three hundred eighty point nine four",
"american stock exchange index lost zero point seven three to three hundred and eighty point nine four",
"american stock exchange index lost zero point seven three to three hundred eighty point nine four",
"the american stock exchange index lost zero point seven three to three hundred eighty nine 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 american stock exchange index lost zero point seven three to three hundred and eighty point nine four', 'the american stock exchange index lost zero point seven three to three hundred eighty point nine four', 'american stock exchange index lost zero point seven three to three hundred and eighty point nine four', 'american stock exchange index lost zero point seven three to three hundred eighty point nine four', 'the american stock exchange index lost zero point seven three to three hundred eighty nine four'] |
|
[
"a lengthy fight is likely",
"a long fight is likely",
"a lengthy flight is likely",
"a lengthy fight it's likely",
"a length fight 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', 'a long fight is likely', 'a lengthy flight is likely', "a lengthy fight it's likely", 'a length fight is likely'] |
|
[
"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 such products could be marketed by other companies with experience in that business",
"he said that such products would be marketed by other companies with experience 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 such products could be marketed by other companies with experience in that business', 'he said that such products would be marketed by other companies with experience in that business'] |
|
[
"the rate on six month bills fell to six point seven three percent from six point eight three percent",
"the rate on six month bills fell to six point seven three percentage from six point eight three percentage",
"the rate on six month bills fell to six point seven three percent from six point eight three",
"the rate on six month bills fell to six point seven three percentage from six point eight three percent",
"the rate on six month bills fell to six point seven three from six point eight 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.
['the rate on six month bills fell to six point seven three percent from six point eight three percent', 'the rate on six month bills fell to six point seven three percentage from six point eight three percentage', 'the rate on six month bills fell to six point seven three percent from six point eight three', 'the rate on six month bills fell to six point seven three percentage from six point eight three percent', 'the rate on six month bills fell to six point seven three from six point eight three percent'] |
|
[
"where 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 in progress as in china",
"where else in the third world there is so much energy and progress as in china",
"where else in the third world is there as much energy and progress as in china",
"else in the third world is there so much energy and progress as in china"
] | 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 is there so much energy in progress as in china', 'where else in the third world there is so much energy and progress as in china', 'where else in the third world is there as much energy and progress as in china', 'else in the third world is there so much energy and progress as in china'] |
|
[
"foreigners are back and negotiating with the chinese will be as tough as ever",
"foreigners are back negotiating with the chinese will be as tough as ever",
"foreigners are back and negotiating with the chinese would be as tough as ever",
"foreigners are back and negotiating with the chinese will be as tough ever",
"foreigners are back and negotiation with the chinese will be as tough as ever"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['foreigners are back and negotiating with the chinese will be as tough as ever', 'foreigners are back negotiating with the chinese will be as tough as ever', 'foreigners are back and negotiating with the chinese would be as tough as ever', 'foreigners are back and negotiating with the chinese will be as tough ever', 'foreigners are back and negotiation with the chinese will be as tough as ever'] |
|
[
"grand auto slid three to fifteen and one eight on the american flag",
"grand auto slid three to fifteen and one eighth on the american flag",
"grand auto slid three to fifteen and one eight for the american flag",
"grand auto slid three to fifteen and one eight on the american side",
"grand auto slid three to fifteen and one eight on the american flight"
] | 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.
['grand auto slid three to fifteen and one eight on the american flag', 'grand auto slid three to fifteen and one eighth on the american flag', 'grand auto slid three to fifteen and one eight for the american flag', 'grand auto slid three to fifteen and one eight on the american side', 'grand auto slid three to fifteen and one eight on the american flight'] |
|
[
"companies are listed where transactions generally aggregate ten thousand shares or one hundred thousand dollars",
"companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred thousand dollars",
"companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred zero zero zero dollars",
"companies are listed where transactions generally aggregate ten thousand shares or dollar one hundred thousand",
"companies are listed where transactions generally aggregate ten thousand shares or a hundred thousand dollars"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['companies are listed where transactions generally aggregate ten thousand shares or one hundred thousand dollars', 'companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred thousand dollars', 'companies are listed where transactions generally aggregate ten zero zero zero shares or one hundred zero zero zero dollars', 'companies are listed where transactions generally aggregate ten thousand shares or dollar one hundred thousand', 'companies are listed where transactions generally aggregate ten thousand shares or a hundred thousand dollars'] |
|
[
"mci plans to begin offering the service at the end of this month",
"mci plans to begin offering the service by the end of this month",
"mci plans to begin offering the service at the end of the month",
"mci plans to begin offering this service at the end of this month",
"plans to begin offering the 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 the service by the end of this month', 'mci plans to begin offering the service at the end of the month', 'mci plans to begin offering this service at the end of this month', 'plans to begin offering the service at the end of this month'] |
|
[
"hamda was down ten to one thousand nine hundred thirty",
"honda was down ten to one thousand nine hundred thirty",
"honda was down ten to one thousand nine hundred thirty",
"hamda was down ten to one thousand nine hundred and thirty",
"handa was down ten to one thousand nine hundred thirty"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['hamda was down ten to one thousand nine hundred thirty', 'honda was down ten to one thousand nine hundred thirty', 'honda was down ten to one thousand nine hundred thirty', 'hamda was down ten to one thousand nine hundred and thirty', 'handa was down ten to one thousand nine hundred thirty'] |
|
[
"the closely held group doesn't have any significant assets according to william g simon its president",
"the closely held group doesn't have any significant assets according to william j simon its president",
"the closely held group doesn't have any significant assets according to william g simon it's president",
"the closely held group doesn't have any significant assets according to william g symon its president",
"the closely held group doesn t have any significant assets according to william g simon its president"
] | 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 closely held group doesn't have any significant assets according to william g simon its president", "the closely held group doesn't have any significant assets according to william j simon its president", "the closely held group doesn't have any significant assets according to william g simon it's president", "the closely held group doesn't have any significant assets according to william g symon its president", 'the closely held group doesn t have any significant assets according to william g simon its president'] |
|
[
"net income rose one hundred twenty five percentage to seven hundred fifty three million swiss francs in that period",
"net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in that period",
"net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in that period",
"net income rose one hundred and twenty five percentage to seven hundred and fifty three million swiss francs in that period",
"net income rose one hundred and twenty five percent to seven hundred fifty three million swiss francs in that period"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['net income rose one hundred twenty five percentage to seven hundred fifty three million swiss francs in that period', 'net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in that period', 'net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in that period', 'net income rose one hundred and twenty five percentage to seven hundred and fifty three million swiss francs in that period', 'net income rose one hundred and twenty five percent to seven hundred fifty three million swiss francs in that period'] |
|
[
"united presidential is your life insurance company",
"united presidential as your life insurance company",
"united presidential is a life insurance company",
"united presidential as a life insurance company",
"united presidential is you life insurance company"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['united presidential is your life insurance company', 'united presidential as your life insurance company', 'united presidential is a life insurance company', 'united presidential as a life insurance company', 'united presidential is you life insurance company'] |
|
[
"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 warning light"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["a change in the firm's ownership also should turn on a bright warning light", 'a change in the 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 warning light'] |
|
[
"today ninety percent of the four billion dollars of basf sales in the us is produced there",
"today ninety percentage of the four billion dollars of basf sales in the us is produced there",
"today ninety percent of the four billion dollars of basf sales in the u s is produced there",
"today ninety percentage of the four billion dollars of basf sales in the u s is produced there",
"today ninety percentage of the four billion dollars of bassf sales in the us is produced there"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['today ninety percent of the four billion dollars of basf sales in the us is produced there', 'today ninety percentage of the four billion dollars of basf sales in the us is produced there', 'today ninety percent of the four billion dollars of basf sales in the u s is produced there', 'today ninety percentage of the four billion dollars of basf sales in the u s is produced there', 'today ninety percentage of the four billion dollars of bassf sales in the us is produced there'] |
|
[
"incentives can move around sales but not create them said charles brady an oppenheimer and company auto stock analyst",
"incentives can move around sales but not create them said charles brady an oppenheimer company auto stock analyst",
"incentives can move around sales but not create them said charles brady an openheimer and company auto stock analyst",
"incentives can move around sales but not create them said charles brady an appenheimer and company auto stock analyst",
"incentives can move around sales but not create them said charles brady an oppenheimer and company auto stock analyst"
] | 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.
['incentives can move around sales but not create them said charles brady an oppenheimer and company auto stock analyst', 'incentives can move around sales but not create them said charles brady an oppenheimer company auto stock analyst', 'incentives can move around sales but not create them said charles brady an openheimer and company auto stock analyst', 'incentives can move around sales but not create them said charles brady an appenheimer and company auto stock analyst', 'incentives can move around sales but not create them said charles brady an oppenheimer and company auto stock analyst'] |
|
[
"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 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",
"but if the winning bids are as high as they were in some deals early this year then we are not going to be winning bidders",
"but if the winning bids were as high as they were in some deals earlier this year then we're 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 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', 'but if the winning bids are as high as they were in some deals early this year then we are not going to be winning bidders', "but if the winning bids were as high as they were in some deals earlier this year then we're not going to be winning bidders"] |
|
[
"neither side would disclose terms",
"neither side will disclose terms",
"if neither side would disclose terms",
"that neither side would disclose terms",
"either side would disclose terms"
] | 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.
['neither side would disclose terms', 'neither side will disclose terms', 'if neither side would disclose terms', 'that neither side would disclose terms', 'either side would disclose terms'] |
|
[
"using a measure that counts the military among the employed the rate was unchanged six point six percent last month",
"using a measure that counts the military among the employed the rate was unchanged six point six percentage last month",
"using a measure that counts the military among the employed the rate was unchanged at six point six percent last month",
"using a measure that counts the military among employed the rate was unchanged six point six percent last month",
"using a measure that counts the military among employed the rate was unchanged six point six percentage last month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['using a measure that counts the military among the employed the rate was unchanged six point six percent last month', 'using a measure that counts the military among the employed the rate was unchanged six point six percentage last month', 'using a measure that counts the military among the employed the rate was unchanged at six point six percent last month', 'using a measure that counts the military among employed the rate was unchanged six point six percent last month', 'using a measure that counts the military among employed the rate was unchanged six point six percentage last month'] |
|
[
"its biggest was the one billion dollars purchase of united technologies corporation's inmont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollars purchase of united technologies corporation's in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of united technologies corporation's inmont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of united technologies corporation's in mont subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollars purchase of united technologies corporation's enmont subsidiary a major supplier of paint to the auto industry"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["its biggest was the one billion dollars purchase of united technologies corporation's inmont subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollars purchase of united technologies corporation's in mont subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollar purchase of united technologies corporation's inmont subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollar purchase of united technologies corporation's in mont subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollars purchase of united technologies corporation's enmont subsidiary a major supplier of paint to the auto industry"] |
|
[
"in a fundamental sense the equity markets have very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity market has very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity market have very little to do with what goes on in the commercial banks",
"in a fundamental sense the equity markets have very little to do with what goes on in the commercial bank",
"in a fundamental sense the equity markets had very little to do with what goes on in the commercial banks"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in a fundamental sense the equity markets have very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity market has very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity market have very little to do with what goes on in the commercial banks', 'in a fundamental sense the equity markets have very little to do with what goes on in the commercial bank', 'in a fundamental sense the equity markets had very little to do with what goes on in the commercial banks'] |
|
[
"but the union has already lost twenty eight percent of the seventy three new members",
"twenty three percentage but the union has already lost twenty eight percentage of the seventy three new members",
"but the union has already lost twenty eight percentage of the seventy three new members",
"twenty two percentage but the union has already lost twenty eight percentage of the seventy three new members",
"twenty three percent but the union has already lost twenty eight percent of the seventy three new members"
] | 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 union has already lost twenty eight percent of the seventy three new members', 'twenty three percentage but the union has already lost twenty eight percentage of the seventy three new members', 'but the union has already lost twenty eight percentage of the seventy three new members', 'twenty two percentage but the union has already lost twenty eight percentage of the seventy three new members', 'twenty three percent but the union has already lost twenty eight percent of the seventy three new members'] |
|
[
"he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services work force",
"he says the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen small cellular markets this year and has expanded its financial services workforce",
"he said the company has entered sixteen smaller cellular markets this year and expanded its financial services workforce"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller cellular markets this year and has expanded its financial services work force', 'he says the company has entered sixteen smaller cellular markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen small cellular markets this year and has expanded its financial services workforce', 'he said the company has entered sixteen smaller cellular markets this year and expanded its financial services workforce'] |
|
[
"the one hundred share index closed six point eight points lower at one thousand seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower at one thousand seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower at seven hundred and fifty nine point nine",
"the one hundred share index closed six point eight points lower at seven hundred fifty nine point nine",
"the one hundred share index closed six point eight points lower at seventeen fifty nine point nine"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the one hundred share index closed six point eight points lower at one thousand seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower at one thousand seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower at seven hundred and fifty nine point nine', 'the one hundred share index closed six point eight points lower at seven hundred fifty nine point nine', 'the one hundred share index closed six point eight points lower at seventeen fifty nine point nine'] |
|
[
"envirodyne said it expects sales to be the highest for any third quarter in the company's history",
"enviradine said it expects sales to be the highest for any third quarter in the company's history",
"envirodine said it expects sales to be the highest for any third quarter in the company's history",
"envirodyne said it expects sales to be the highest for any third quarter in the company's history",
"envyradine said it expects sales to be the highest for any third quarter in the company's history"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["envirodyne said it expects sales to be the highest for any third quarter in the company's history", "enviradine said it expects sales to be the highest for any third quarter in the company's history", "envirodine said it expects sales to be the highest for any third quarter in the company's history", "envirodyne said it expects sales to be the highest for any third quarter in the company's history", "envyradine said it expects sales to be the highest for any third quarter in the company's history"] |
|
[
"we had to sustain some modest operating losses",
"we have to sustain some modest operating losses",
"we had to sustained some modest operating losses",
"we had to sustain some modest operating losses",
"we had to sustain some moderate operating losses"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we had to sustain some modest operating losses', 'we have to sustain some modest operating losses', 'we had to sustained some modest operating losses', 'we had to sustain some modest operating losses', 'we had to sustain some moderate operating losses'] |
|
[
"the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand dollars last month after a revised three hundred nineteen thousand dollars gain the month before",
"the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand last month after a revised three hundred nineteen thousand gain the month before",
"the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand dollars last month after a revised three hundred nineteen thousand dollars gain a month before",
"the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand last month after a revised three hundred nineteen thousand gain a month before",
"the labor department said non farm payroll employment increased a robust three hundred and thirty seven thousand dollars last month after a revised three hundred and nineteen thousand dollars gain the month before"
] | 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 labor department said non farm payroll employment increased a robust three hundred thirty seven thousand dollars last month after a revised three hundred nineteen thousand dollars gain the month before', 'the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand last month after a revised three hundred nineteen thousand gain the month before', 'the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand dollars last month after a revised three hundred nineteen thousand dollars gain a month before', 'the labor department said non farm payroll employment increased a robust three hundred thirty seven thousand last month after a revised three hundred nineteen thousand gain a month before', 'the labor department said non farm payroll employment increased a robust three hundred and thirty seven thousand dollars last month after a revised three hundred and nineteen thousand dollars gain the month before'] |
|
[
"a long list of other witnesses have also testified in the trial now in its fourth month",
"a long list of other witnesses has also testified in the trial now in its fourth month",
"a long list of other witnesses have also testified in the trial now its fourth month",
"a long list of other witnesses have also testified in the trial now in it's fourth month",
"a long list of other witnesses also have testified in the trial now in its fourth month"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a long list of other witnesses have also testified in the trial now in its fourth month', 'a long list of other witnesses has also testified in the trial now in its fourth month', 'a long list of other witnesses have also testified in the trial now its fourth month', "a long list of other witnesses have also testified in the trial now in it's fourth month", 'a long list of other witnesses also have testified in the trial now in its fourth month'] |
|
[
"even some bigger companies caution they are leery of paying too big a premium",
"even some bigger companies caution that they are leery of paying too big a premium",
"even some bigger companies cautioned they are leery of paying too big a premium",
"even some bigger companies caution that they are leary of paying too big a premium",
"even some bigger companies caution that they're leery 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 caution they are leery of paying too big a premium', 'even some bigger companies caution that they are leery of paying too big a premium', 'even some bigger companies cautioned they are leery of paying too big a premium', 'even some bigger companies caution that they are leary of paying too big a premium', "even some bigger companies caution that they're leery of paying too big a premium"] |
|
[
"there were two hundred and fifty six issues advancing three hundred and three declining and two hundred and ninety two unchanged",
"there were two hundred fifty six issues advancing three hundred three declining and two hundred ninety two unchanged",
"there were two hundred and fifty six issues advancing three hundred three declining and two hundred and ninety two unchanged",
"there were two hundred fifty six issues advancing three hundred and three declining and two hundred and ninety two unchanged",
"there were two hundred and fifty six issues advancing with three hundred and three declining and two hundred and ninety two unchanged"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there were two hundred and fifty six issues advancing three hundred and three declining and two hundred and ninety two unchanged', 'there were two hundred fifty six issues advancing three hundred three declining and two hundred ninety two unchanged', 'there were two hundred and fifty six issues advancing three hundred three declining and two hundred and ninety two unchanged', 'there were two hundred fifty six issues advancing three hundred and three declining and two hundred and ninety two unchanged', 'there were two hundred and fifty six issues advancing with three hundred and three declining and two hundred and ninety two unchanged'] |
|
[
"the toronto based company provides mortgage guarantees to the canadian real estate industry",
"the toronto based company provides mortgage guarantees to the canadian uh real estate industry",
"the toronto based company provides mortgage guarantees to canadian real estate industry",
"the toronto based company provides mortgage warranties to the canadian real estate industry",
"the toronto based company provides mortgage and guarantees to the canadian real estate industry"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the toronto based company provides mortgage guarantees to the canadian real estate industry', 'the toronto based company provides mortgage guarantees to the canadian uh real estate industry', 'the toronto based company provides mortgage guarantees to canadian real estate industry', 'the toronto based company provides mortgage warranties to the canadian real estate industry', 'the toronto based company provides mortgage and guarantees to the canadian real estate industry'] |
|
[
"but on the first read through the case is without merit and we intend to fight it",
"but on the first readthrough the case is without merit and we intend to fight it",
"but on the first reach through the case is without merit and we intend to fight it",
"but on the first read though the case is without merit and we intend to fight it",
"but on the first rethrough the case is without merit and we intend to fight it"
] | placeholder for ground-truth transcription | null | null | all_et05_real | null | [] | You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but on the first read through the case is without merit and we intend to fight it', 'but on the first readthrough the case is without merit and we intend to fight it', 'but on the first reach through the case is without merit and we intend to fight it', 'but on the first read though the case is without merit and we intend to fight it', 'but on the first rethrough the case is without merit and we intend to fight it'] |