hypothesis
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| transcription
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⌀ | hypothesis_concatenated
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5.37k
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[
"so we want to hear from you about those special people in the countryside who go above and beyond",
"so we want to hear from you about those special people in the countryside who go above and beyond",
"so we want to hear from you about those special people in the country side who go above and beyond",
"so we want to hear from you about those special people in the countryside who go above and beyond",
"we want to hear from you about those special people in the countryside who go above and beyond"
]
| so we want to hear from you about those special people in the countryside who go above and | so we want to hear from you about those special people in the countryside who go above and beyond. | so we want to hear from you about those special people in the countryside who go above and beyond. so we want to hear from you about those special people in the country side who go above and beyond. so we want to hear from you about those special people in the countryside who go above and beyond. we want to hear from you about those special people in the countryside who go above and beyond. | train_lrs2 | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so we want to hear from you about those special people in the countryside who go above and beyond', 'so we want to hear from you about those special people in the countryside who go above and beyond', 'so we want to hear from you about those special people in the country side who go above and beyond', 'so we want to hear from you about those special people in the countryside who go above and beyond', 'we want to hear from you about those special people in the countryside who go above and beyond'] |
|
[
"over a period of millennia",
"so over a period of millennia",
"over a period of millennia",
"over a period of millennia",
"over a period of millennia"
]
| over a period of millennia | over a period of millennia. | so over a period of millennia. over a period of millennia. over a period of millennia. over a period of millennia. | train_lrs2 | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['over a period of millennia', 'so over a period of millennia', 'over a period of millennia', 'over a period of millennia', 'over a period of millennia'] |
|
[
"he had a unique voice",
"he had a unique voice",
"he had a unique voice",
"he had a unique voice brother",
"he had a unique voice"
]
| he had a unique voice | he had a unique voice. | he had a unique voice. he had a unique voice. he had a unique voice brother. he had a unique voice. | train_lrs2 | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he had a unique voice', 'he had a unique voice', 'he had a unique voice', 'he had a unique voice brother', 'he had a unique voice'] |
|
[
"i would have to resign from my club",
"but i would have to resign from my club",
"i would have to resign from my club",
"but i would have to resign from my club",
"that i would have to resign from my club"
]
| i would have to leave my club | i would have to resign from my club. | but i would have to resign from my club. i would have to resign from my club. but i would have to resign from my club. that i would have to resign from my club. | train_lrs2 | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['i would have to resign from my club', 'but i would have to resign from my club', 'i would have to resign from my club', 'but i would have to resign from my club', 'that i would have to resign from my club'] |
|
[
"testimony clearly to this week let's see arguments for scheduled twenty years",
"testimony clearly to this week let's see arguments for scheduled twenty years on that",
"testimony clearly to this week let's take arguments for scheduled twenty years on that",
"testimony clearly to this week let's take arguments for schedule twenty years on that",
"testimony clearly to this week let's take arguments for scheduled twenty years on the"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["testimony clearly to this week let's see arguments for scheduled twenty years", "testimony clearly to this week let's see arguments for scheduled twenty years on that", "testimony clearly to this week let's take arguments for scheduled twenty years on that", "testimony clearly to this week let's take arguments for schedule twenty years on that", "testimony clearly to this week let's take arguments for scheduled twenty years on the"] |
|
[
"in certain cases the cards are given free to subscribers",
"in certain cases the cards are given free to subscribers instead",
"in certain cases the cards are given free to subscribers instead of",
"in certain cases the cards are given free to subscribers and",
"in certain cases the cards are given free to subscribers who"
]
| placeholder for ground-truth transcription | 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 certain cases the cards are given free to subscribers', 'in certain cases the cards are given free to subscribers instead', 'in certain cases the cards are given free to subscribers instead of', 'in certain cases the cards are given free to subscribers and', 'in certain cases the cards are given free to subscribers who'] |
|
[
"that would follow a two point two percentage drop in bank",
"that would follow a two point two percent drop in bank",
"then we'll follow a two point two percentage drop in bank",
"that would follow a two point two percentage drop in thank",
"then would follow a two point two percentage drop in bank"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['that would follow a two point two percentage drop in bank', 'that would follow a two point two percent drop in bank', "then we'll follow a two point two percentage drop in bank", 'that would follow a two point two percentage drop in thank', 'then would follow a two point two percentage drop in bank'] |
|
[
"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 year",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders from u s durable goods rose two point four percent last year",
"according to the average estimate of seven economists surveyed by dow jones capital markets report new orders from u s durable goods rose two point four percentage last year",
"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 year",
"according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders from u s durable goods rose two point four percent last year"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['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 year', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders from u s durable goods rose two point four percent last year', 'according to the average estimate of seven economists surveyed by dow jones capital markets report new orders from u s durable goods rose two point four percentage last year', '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 year', "according to the average estimate of seven economists surveyed by dow jones' capital markets report new orders from u s durable goods rose two point four percent last year"] |
|
[
"the rise in that category in july was led by increased orders for aircraft and parts non electrical machinery lumber and furniture",
"the rise in that category in july was led by increased orders from aircraft and parts non electrical machinery lumber and furniture",
"the rise in that category in july was led by increased orders for aircraft and parts nonelectrical machinery lumber and furniture",
"the rise in that category in july was led by increased orders for aircraft and parts nonelectrical machinery lumber and furniture",
"the rise in that category in july was led by increased orders from aircraft and parts nonelectrical machinery lumber and furniture"
]
| placeholder for ground-truth transcription | 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 rise in that category in july was led by increased orders for aircraft and parts non electrical machinery lumber and furniture', 'the rise in that category in july was led by increased orders from aircraft and parts non electrical machinery lumber and furniture', 'the rise in that category in july was led by increased orders for aircraft and parts nonelectrical machinery lumber and furniture', 'the rise in that category in july was led by increased orders for aircraft and parts nonelectrical machinery lumber and furniture', 'the rise in that category in july was led by increased orders from aircraft and parts nonelectrical machinery lumber and furniture'] |
|
[
"industry analysts value the company at about six hundred fifty million dollars",
"industry analysts value the company at about six hundred and fifty million dollars",
"industry analysts value the company at about six hundred fifty dollars million",
"industry analysts value a 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 analysts value a company at about six hundred fifty million dollars', 'industry analysts valued the company at about six hundred fifty million dollars'] |
|
[
"volume was modest as three hundred and twenty six point seven million shares changed hands compared with three hundred and ninety six point five million",
"volume was modest as three hundred and twenty six point seven million shares changed hands compared with three hundred and ninety six point five million from here",
"volume was modest as three hundred twenty six point seven million shares changed hands compared with three hundred ninety six point five million from here",
"volume was modest as three hundred and twenty six point seven million shares changed hands compared to three hundred and ninety six point five million",
"volume was modest as three hundred and twenty six point seven million shares changed hands compared to three hundred and ninety six point five million from here"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['volume was modest as three hundred and twenty six point seven million shares changed hands compared with three hundred and ninety six point five million', 'volume was modest as three hundred and twenty six point seven million shares changed hands compared with three hundred and ninety six point five million from here', 'volume was modest as three hundred twenty six point seven million shares changed hands compared with three hundred ninety six point five million from here', 'volume was modest as three hundred and twenty six point seven million shares changed hands compared to three hundred and ninety six point five million', 'volume was modest as three hundred and twenty six point seven million shares changed hands compared to three hundred and ninety six point five million from here'] |
|
[
"we had to sustain some modest operating losses",
"if we had to sustain some modest operating losses",
"you had to sustain some modest operating losses",
"we had to sustained some modest operating losses",
"if you had to sustain some modest operating losses"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we had to sustain some modest operating losses', 'if we had to sustain some modest operating losses', 'you had to sustain some modest operating losses', 'we had to sustained some modest operating losses', 'if you had to sustain some modest operating losses'] |
|
[
"he also said that the company for the first time is developing drugs specifically for the over the counter consumer health care market",
"he also said that the company for the first time was developing drugs specifically for the over the counter consumer health care market",
"he also said that the company for the first time is developing drugs specifically for the over the counter consumer healthcare market",
"he also said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market",
"he also said that the company for the first time is developing drugs specifically for the over the counter consumer health care work"
]
| placeholder for ground-truth transcription | 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 is developing drugs specifically for the over the counter consumer health care market', 'he also said that the company for the first time was developing drugs specifically for the over the counter consumer health care market', 'he also said that the company for the first time is developing drugs specifically for the over the counter consumer healthcare market', 'he also said that the company for the first time was developing drugs specifically for the over the counter consumer healthcare market', 'he also said that the company for the first time is developing drugs specifically for the over the counter consumer health care work'] |
|
[
"to make them directly comparable each index is based on the close of nineteen sixty nine million dollars",
"to make them directly comparable each index is based on the close of nineteen sixty nine million",
"to make them directly comparable each index is based on the close of nineteen sixty nine million members",
"to make them directly comparable each index is based on the close of nineteen sixty nine million numbers",
"to make them directly comparable each index is based on the close of nineteen sixty nine people in the hundred"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['to make them directly comparable each index is based on the close of nineteen sixty nine million dollars', 'to make them directly comparable each index is based on the close of nineteen sixty nine million', 'to make them directly comparable each index is based on the close of nineteen sixty nine million members', 'to make them directly comparable each index is based on the close of nineteen sixty nine million numbers', 'to make them directly comparable each index is based on the close of nineteen sixty nine people in the hundred'] |
|
[
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percentage in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percent in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty in the next five years",
"the company has five hundred japanese managers overseas most of them in key positions and expect the number to rise sixty percentage in the next five years",
"the company has five hundred japanese managers overseas most of them are key positions and expects the number to rise sixty percentage in the next five years"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percentage in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty percent in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expects the number to rise sixty in the next five years', 'the company has five hundred japanese managers overseas most of them in key positions and expect the number to rise sixty percentage in the next five years', 'the company has five hundred japanese managers overseas most of them are key positions and expects the number to rise sixty percentage in the next five years'] |
|
[
"we're not prepared to be advocates for the kgb",
"we're not prepared to be advocates for the kgv",
"we're not prepared to be advocates with kgv",
"we're not prepared to be advocates with the kgb",
"we're not prepared to be advocates with the kgv"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["we're not prepared to be advocates for the kgb", "we're not prepared to be advocates for the kgv", "we're not prepared to be advocates with kgv", "we're not prepared to be advocates with the kgb", "we're not prepared to be advocates with the kgv"] |
|
[
"the new company ashland coal incorporated is listed on the new york stock exchange",
"the new company ashland co incorporated is listed on the new york stock exchange",
"the new company ashland cole incorporated is listed on the new york stock exchange",
"the new company ashland cola incorporated is listed on the new york stock exchange",
"the new company ashland co inc is listed on the new york stock exchange"
]
| placeholder for ground-truth transcription | 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 new company ashland coal incorporated is listed on the new york stock exchange', 'the new company ashland co incorporated is listed on the new york stock exchange', 'the new company ashland cole incorporated is listed on the new york stock exchange', 'the new company ashland cola incorporated is listed on the new york stock exchange', 'the new company ashland co inc is listed on the new york stock exchange'] |
|
[
"there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst at maryland",
"there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst in maryland",
"but there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst at maryland",
"there shouldn't be any risk to the banks in this sort of stuff said laurence cohen a banking analyst at maryland",
"but there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst at maryland turner"
]
| placeholder for ground-truth transcription | 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 in this sort of stuff said lawrence cohen a banking analyst at maryland", "there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst in maryland", "but there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst at maryland", "there shouldn't be any risk to the banks in this sort of stuff said laurence cohen a banking analyst at maryland", "but there shouldn't be any risk to the banks in this sort of stuff said lawrence cohen a banking analyst at maryland turner"] |
|
[
"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 could be marketed by other companies with experience in that business",
"he said such products should be marketed by other companies with experience in that business",
"he said such products to 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 could be marketed by other companies with experience in that business', 'he said such products should be marketed by other companies with experience in that business', 'he said such products to be marketed by other companies with experience in that business'] |
|
[
"the company said its european banking affiliate sapphire republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate safra republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate zafra republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate saffron republic plans to raise more than four hundred fifty million dollars through an international offering",
"the company said its european banking affiliate the safra republic plans to raise more than four hundred fifty million dollars through an international offering"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the company said its european banking affiliate sapphire republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate safra republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate zafra republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate saffron republic plans to raise more than four hundred fifty million dollars through an international offering', 'the company said its european banking affiliate the safra republic plans to raise more than four hundred fifty million dollars through an international offering'] |
|
[
"the earlier rise was previously reported as four point three percent",
"the earlier rise was previously reported as four point three percentage",
"the yearlier rise was previously reported as four point three percent",
"the earlier rise was previously recorded as four point three percent",
"the yearlier rise was previously reported as four point three percentage"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the earlier rise was previously reported as four point three percent', 'the earlier rise was previously reported as four point three percentage', 'the yearlier rise was previously reported as four point three percent', 'the earlier rise was previously recorded as four point three percent', 'the yearlier rise was previously reported as four point three percentage'] |
|
[
"nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day at two thousand six hundred and twenty",
"nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day and two thousand six hundred and twenty",
"nissan lost thirty to one thousand five hundred twenty and toyota was down thirty to end the day at two thousand six hundred twenty",
"nissan lost thirty to fifteen twenty and toyota was down thirty to end the day at two thousand six hundred and twenty",
"nissan lost thirty to one thousand five hundred twenty and toyota was down thirty to end the day at two thousand six hundred and twenty"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day at two thousand six hundred and twenty', 'nissan lost thirty to one thousand five hundred and twenty and toyota was down thirty to end the day and two thousand six hundred and twenty', 'nissan lost thirty to one thousand five hundred twenty and toyota was down thirty to end the day at two thousand six hundred twenty', 'nissan lost thirty to fifteen twenty and toyota was down thirty to end the day at two thousand six hundred and twenty', 'nissan lost thirty to one thousand five hundred twenty and toyota was down thirty to end the day at two thousand six hundred and twenty'] |
|
[
"that's fine",
"so that's fine",
"that's that's fine",
"mm that's fine",
"ooh that's fine"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["that's fine", "so that's fine", "that's that's fine", "mm that's fine", "ooh that's fine"] |
|
[
"in many ways that's just what ubs has done since mr sun was named president of nineteen eighty",
"in many ways that's just what ubs has done since mr sun was named president in nineteen eighty",
"in many ways that's just what ubs has done since mister sun was named president",
"in many ways that's just what ubs has done since mister sun was named president of nineteen eighty",
"in many ways that's just what ubs has done since mister sun 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 sun was named president of nineteen eighty", "in many ways that's just what ubs has done since mr sun was named president in nineteen eighty", "in many ways that's just what ubs has done since mister sun was named president", "in many ways that's just what ubs has done since mister sun was named president of nineteen eighty", "in many ways that's just what ubs has done since mister sun was named president in nineteen eighty"] |
|
[
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand one point",
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand",
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand monthly",
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand money",
"volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand from one bank"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand one point', 'volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand', 'volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand monthly', 'volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand money', 'volume was eighteen million one hundred ninety thousand shares compared with ten million five hundred fifty thousand from one bank'] |
|
[
"the real estate investment trust said it was still hoping to reach a new credit arrangement",
"the real estate investment trust said it was still hoping to reach a new credit agreement",
"the real estate investment trust said it was still hoping to reach new credit arrangement",
"the real estate investment trust said that it was still hoping to reach a new credit arrangement",
"the real estate investment trusts said it was still hoping to reach a new credit arrangement"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the real estate investment trust said it was still hoping to reach a new credit arrangement', 'the real estate investment trust said it was still hoping to reach a new credit agreement', 'the real estate investment trust said it was still hoping to reach new credit arrangement', 'the real estate investment trust said that it was still hoping to reach a new credit arrangement', 'the real estate investment trusts said it was still hoping to reach a new credit arrangement'] |
|
[
"employment looked strong inflation was low and consumer spending and investment were holding up reasonably well",
"employment looked strong inflation was low and consumer spending and investment were holding out reasonably well",
"employment look strong inflation was low and consumer spending and investment were holding up reasonably well",
"employment looked strong inflation was low and consumer spending and investments were holding up reasonably well",
"employment looked strong inflation was low and consumer spending and investment was holding up reasonably well"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['employment looked strong inflation was low and consumer spending and investment were holding up reasonably well', 'employment looked strong inflation was low and consumer spending and investment were holding out reasonably well', 'employment look strong inflation was low and consumer spending and investment were holding up reasonably well', 'employment looked strong inflation was low and consumer spending and investments were holding up reasonably well', 'employment looked strong inflation was low and consumer spending and investment was holding up reasonably well'] |
|
[
"a long list of other witnesses have also testified in the trial now in its fourth month",
"a long list of other witnesses have also testified on 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 in it's fourth month",
"a long list of other witnesses have also testified at 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 have also testified on 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 in it's fourth month", 'a long list of other witnesses have also testified at the trial now in its fourth month'] |
|
[
"in the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine million dollars or twenty four cents a share",
"in the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine million or twenty four cents a share",
"in the one thousand nine hundred and eighty five quarter the owner and operator of health maintenance organizations earned six point nine million dollars or twenty four cents a share",
"in the nineteen eighty five quarter the owner and operator health maintenance organizations earned six point nine million dollars or twenty four cents a share",
"in the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine dollars million or twenty four cents 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 the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine million dollars or twenty four cents a share', 'in the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine million or twenty four cents a share', 'in the one thousand nine hundred and eighty five quarter the owner and operator of health maintenance organizations earned six point nine million dollars or twenty four cents a share', 'in the nineteen eighty five quarter the owner and operator health maintenance organizations earned six point nine million dollars or twenty four cents a share', 'in the nineteen eighty five quarter the owner and operator of health maintenance organizations earned six point nine dollars million or twenty four cents a share'] |
|
[
"citicorp had twenty one point five billion dollars in capital at the end of last year",
"city corp had twenty one point five billion dollars in capital at the end of last year",
"citigroup had twenty one point five billion dollars in capital at the end of last year",
"citicorp had twenty one point five million dollars in capital at the end of last year",
"citigorp had twenty one point five billion dollars in capital at the end of last year"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['citicorp had twenty one point five billion dollars in capital at the end of last year', 'city corp had twenty one point five billion dollars in capital at the end of last year', 'citigroup had twenty one point five billion dollars in capital at the end of last year', 'citicorp had twenty one point five million dollars in capital at the end of last year', 'citigorp had twenty one point five billion dollars in capital at the end of last year'] |
|
[
"the language is a big problem",
"the language is big problem",
"the language is the big problem",
"language is a big problem",
"the language is a big problems"
]
| placeholder for ground-truth transcription | 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 big problem', 'the language is the big problem', 'language is a big problem', 'the language is a big problems'] |
|
[
"center financier loyd benson in texas said he would speed up work on the package because of the crash",
"cinema financier loyd benson in texas said he would speed up work on the package because of the crash",
"center financier lloyd benson in texas said he would speed up work on the package because of the crash",
"cinema financier lloyd benson in texas said he would speed up work on the package because of the crash",
"cinema financier lloyd benson from texas said he would speed up work on the package because of the crash"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['center financier loyd benson in texas said he would speed up work on the package because of the crash', 'cinema financier loyd benson in texas said he would speed up work on the package because of the crash', 'center financier lloyd benson in texas said he would speed up work on the package because of the crash', 'cinema financier lloyd benson in texas said he would speed up work on the package because of the crash', 'cinema financier lloyd benson from texas said he would speed up work on the package because of the crash'] |
|
[
"analysts too generally played down the effect on things",
"analysts too generally play down the effect on things",
"analysts too generally played down the effect on facts",
"animals too generally played down the effect on things",
"analysts two generally played down the effect on things"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['analysts too generally played down the effect on things', 'analysts too generally play down the effect on things', 'analysts too generally played down the effect on facts', 'animals too generally played down the effect on things', 'analysts two generally played down the effect on things'] |
|
[
"the consensus was that a new piece of paper isn't required said one us diplomat",
"the consensus was that a new piece of paper isn't required said one u s diplomat",
"the consensus was that a new piece of paper isn't required said one us",
"the consensus was that a new piece of paper isn't required said one us deputy",
"the consensus was that a new piece of paper isn't required said one u s deputy"
]
| placeholder for ground-truth transcription | 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 consensus was that a new piece of paper isn't required said one us diplomat", "the consensus was that a new piece of paper isn't required said one u s diplomat", "the consensus was that a new piece of paper isn't required said one us", "the consensus was that a new piece of paper isn't required said one us deputy", "the consensus was that a new piece of paper isn't required said one u s deputy"] |
|
[
"nci plans to begin offering the service at the end of this month",
"mci plans to begin offering the service at the end of this month",
"plans to begin offering the service at the end of this month",
"nci plans to begin offering this service at the end of this month",
"and nci 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.
['nci plans to begin offering the service at the end of this month', 'mci plans to begin offering the service at the end of this month', 'plans to begin offering the service at the end of this month', 'nci plans to begin offering this service at the end of this month', 'and nci plans to begin offering the service at the end of this month'] |
|
[
"he declined to name specific products",
"he declined to name a specific product",
"he declined to name specific product",
"he decline to name specific products",
"he declined to name the specific product"
]
| placeholder for ground-truth transcription | 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 declined to name a specific product', 'he declined to name specific product', 'he decline to name specific products', 'he declined to name the specific product'] |
|
[
"a print media campaign will begin the following day",
"print media campaign will begin the following day",
"a print media campaign will begin on the following day",
"and print media campaign will begin the following day",
"the print media campaign will begin the following day"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a print media campaign will begin the following day', 'print media campaign will begin the following day', 'a print media campaign will begin on the following day', 'and print media campaign will begin the following day', 'the print media campaign will begin the following day'] |
|
[
"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 sheerson 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 shearson leman brothers the lead underwriter",
"the unsold balanced late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter"
]
| placeholder for ground-truth transcription | 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 sheerson 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 shearson leman brothers the lead underwriter', 'the unsold balanced late yesterday was about thirty six point three million dollars according to shearson lehman brothers the lead underwriter'] |
|
[
"those identified as beneficial owners hold at least ten percent of a company's equity securities",
"those identified as beneficial owners hold at least ten percentage of a company's equity securities",
"those identified as beneficial owners hold at least ten percent of the company's equity securities",
"those identified as beneficial owners hold at least ten per cent of a company's equity securities",
"those identified as beneficial owners hold at least ten percentage of the company's equity securities"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["those identified as beneficial owners hold at least ten percent of a company's equity securities", "those identified as beneficial owners hold at least ten percentage of a company's equity securities", "those identified as beneficial owners hold at least ten percent of the company's equity securities", "those identified as beneficial owners hold at least ten per cent of a company's equity securities", "those identified as beneficial owners hold at least ten percentage of the company's equity securities"] |
|
[
"the issue was rated single a by ladies and single a minus by s and p",
"the issue was rated single a by ladies and single a minus by s",
"the issue was rated single a by ladies and single a minus by s p",
"the issue was rated single a by ladies and single a minus by sap",
"the issue was rated single a by moody's and single a minus by s and p"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the issue was rated single a by ladies and single a minus by s and p', 'the issue was rated single a by ladies and single a minus by s', 'the issue was rated single a by ladies and single a minus by s p', 'the issue was rated single a by ladies and single a minus by sap', "the issue was rated single a by moody's and single a minus by s and p"] |
|
[
"the company previously traded over the counter",
"the company had previously traded over the counter",
"a company previously traded over the counter",
"company previously traded over the counter",
"the company has 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 had previously traded over the counter', 'a company previously traded over the counter', 'company previously traded over the counter', 'the company has previously traded over the counter'] |
|
[
"grant autos three to fifteen and one a on the american stock market",
"grant autos three to fifteen and one eight on the american stock market",
"grant autos three to fifteen and one a's on the american stock market",
"grant autos three to fifteen at one a on the american stock market",
"grant auto's three to fifteen and one a on the american 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.
['grant autos three to fifteen and one a on the american stock market', 'grant autos three to fifteen and one eight on the american stock market', "grant autos three to fifteen and one a's on the american stock market", 'grant autos three to fifteen at one a on the american stock market', "grant auto's three to fifteen and one a on the american stock market"] |
|
[
"a monsanto spokesman said there's very little weakness in the economy",
"a monsanto spokesman said that there's very little weakness in the economy",
"a monsanto spokesman said there's very little weakness in the climate",
"the monsanto spokesman said there's very little weakness in the economy",
"a monsanto spokesman said that there's very little weakness in the climate"
]
| placeholder for ground-truth transcription | 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 monsanto spokesman said there's very little weakness in the economy", "a monsanto spokesman said that there's very little weakness in the economy", "a monsanto spokesman said there's very little weakness in the climate", "the monsanto spokesman said there's very little weakness in the economy", "a monsanto spokesman said that there's very little weakness in the climate"] |
|
[
"the overall gain the fifth in the past seven months followed a revised four point one percent increase in february",
"the overall gain the fifth in the past seven months followed a revised four point one percentage increase in february",
"the overall gain the fifth and the past seven months followed a revised four point one percent increase in february",
"the overall gain the fifth and the past seven months followed a revised four point one percentage increase in february",
"the overall gain of the fifth in the past seven months followed a revised four point one percent increase in february"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the overall gain the fifth in the past seven months followed a revised four point one percent increase in february', 'the overall gain the fifth in the past seven months followed a revised four point one percentage increase in february', 'the overall gain the fifth and the past seven months followed a revised four point one percent increase in february', 'the overall gain the fifth and the past seven months followed a revised four point one percentage increase in february', 'the overall gain of the fifth in the past seven months followed a revised four point one percent increase in february'] |
|
[
"he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars for the year",
"he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars for the year",
"he said the company's goal is to have fifteen percent to twenty percentage revenue growth to about three point two billion dollars for the year",
"he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars dollars for the year",
"he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars dollars for the year"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars for the year", "he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars for the year", "he said the company's goal is to have fifteen percent to twenty percentage revenue growth to about three point two billion dollars for the year", "he said the company's goal is to have fifteen percentage to twenty percentage revenue growth to about three point two billion dollars dollars for the year", "he said the company's goal is to have fifteen percent to twenty percent revenue growth to about three point two billion dollars dollars for the year"] |
|
[
"estimated natural results involved in losses are omitted",
"estimated natural results and volume losses are omitted",
"estimated natural results involving losses are omitted",
"estimated natural results involved losses are omitted",
"estimated natural results involved with losses are omitted"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['estimated natural results involved in losses are omitted', 'estimated natural results and volume losses are omitted', 'estimated natural results involving losses are omitted', 'estimated natural results involved losses are omitted', 'estimated natural results involved with losses are omitted'] |
|
[
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december the twa said",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december",
"the independent committee will recommend that holders accept the offer at a meeting expected to be held in december taa said"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december twa said', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december the twa said', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december', 'the independent committee will recommend that holders accept the offer at a meeting expected to be held in december taa said'] |
|
[
"condom is down ten to one thousand nine hundred and thirty",
"condom was down ten to one thousand nine hundred and thirty",
"honda was down ten to one thousand nine hundred and thirty",
"contem was down ten to one thousand nine hundred and thirty",
"content was down ten to one thousand nine hundred and thirty"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['condom is down ten to one thousand nine hundred and thirty', 'condom was down ten to one thousand nine hundred and thirty', 'honda was down ten to one thousand nine hundred and thirty', 'contem was down ten to one thousand nine hundred and thirty', 'content was down ten to one thousand nine hundred and thirty'] |
|
[
"several airlines have also opposed the standards and may fight some aspects in court",
"several airlines have also opposed standards and may fight some aspects in court",
"several airlines have also opposed the standards and may fight some aspects at 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 court"
]
| placeholder for ground-truth transcription | 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 standards and may fight some aspects in court', 'several airlines have also opposed the standards and may fight some aspects at 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 court'] |
|
[
"if the dollar starts to plunge the fed may step up its defense of the currencies",
"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 defense of the currencies with",
"if the dollar starts to plunge the fed may step up its defense of the currencies with schools",
"if the dollar starts to plunge the fed may step up its defense of the currencies with school fees"
]
| placeholder for ground-truth transcription | 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 currencies', '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 defense of the currencies with', 'if the dollar starts to plunge the fed may step up its defense of the currencies with schools', 'if the dollar starts to plunge the fed may step up its defense of the currencies with school fees'] |
|
[
"the toronto based company provides mortgage guarantees to the canadian real estate industry",
"the toronto based company provides mortgage warranties to the canadian real estate industry",
"the toronto based company provide mortgage guarantees to the canadian real estate industry",
"the toronto base company provides mortgage guarantees to the canadian real estate industry",
"the toronto based company provides mortgage guarantee 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 warranties to the canadian real estate industry', 'the toronto based company provide mortgage guarantees to the canadian real estate industry', 'the toronto base company provides mortgage guarantees to the canadian real estate industry', 'the toronto based company provides mortgage guarantee to the canadian real estate industry'] |
|
[
"two years ago basf made three separate acquisitions in the us",
"two years ago basf made three separate acquisitions in the us",
"two years ago basf made three separate acquisitions in the u",
"two years ago basf made three separate acquisitions in the u s",
"two years ago bass made three separate acquisitions in the us"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two years ago basf made three separate acquisitions in the us', 'two years ago basf made three separate acquisitions in the us', 'two years ago basf made three separate acquisitions in the u', 'two years ago basf made three separate acquisitions in the u s', 'two years ago bass made three separate acquisitions in the us'] |
|
[
"net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in the period",
"net income rose one hundred twenty five percent with seven hundred fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percent with seven hundred and fifty three million swiss francs in the period",
"net income rose one hundred and twenty five percent to seven hundred fifty three million swiss francs in the period"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['net income rose one hundred twenty five percent to seven hundred fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percent to seven hundred and fifty three million swiss francs in the period', 'net income rose one hundred twenty five percent with seven hundred fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percent with seven hundred and fifty three million swiss francs in the period', 'net income rose one hundred and twenty five percent to seven hundred fifty three million swiss francs in the period'] |
|
[
"so normalcy has returned",
"and so normalcy has returned",
"so normalcy has return",
"okay so normalcy has returned",
"yeah so normalcy has returned"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so normalcy has returned', 'and so normalcy has returned', 'so normalcy has return', 'okay so normalcy has returned', 'yeah so normalcy has returned'] |
|
[
"today ninety percent of the four billion dollars that basf sales in the us is produced there",
"today ninety percentage of the four billion dollars that basf sales in the us is produced there",
"today ninety percent of the four billion dollars that ba sf sales in the us is produced there",
"today ninety percent of the four billion dollars that basf sales in the u s is produced there",
"today ninety percentage of the four billion dollars that ba sf 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 that basf sales in the us is produced there', 'today ninety percentage of the four billion dollars that basf sales in the us is produced there', 'today ninety percent of the four billion dollars that ba sf sales in the us is produced there', 'today ninety percent of the four billion dollars that basf sales in the u s is produced there', 'today ninety percentage of the four billion dollars that ba sf sales in the us is produced there'] |
|
[
"about half these managers are in the us",
"about half these managers are in the u s",
"about half of these managers are in the us",
"about half these managers are in the u",
"about half of these managers are in the u s"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['about half these managers are in the us', 'about half these managers are in the u s', 'about half of these managers are in the us', 'about half these managers are in the u', 'about half of these managers are in the u s'] |
|
[
"yesterday's losers included automobiles",
"yesterdays losers included automobiles",
"losers included automobiles",
"yesterday's losers include automobiles",
"yesterday's loosers included automobiles"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["yesterday's losers included automobiles", 'yesterdays losers included automobiles', 'losers included automobiles', "yesterday's losers include automobiles", "yesterday's loosers included automobiles"] |
|
[
"a print media campaign will begin the following day",
"a print media campaign would begin the following day",
"the print media campaign will begin the following day",
"print media campaign will begin the following day",
"a print media campaign will begin on the following day"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a print media campaign will begin the following day', 'a print media campaign would begin the following day', 'the print media campaign will begin the following day', 'print media campaign will begin the following day', 'a print media campaign will begin on the following day'] |
|
[
"mr icahn and an investor group he heads coal seventy two point seven percent of twa shares",
"mr icahn and an investor group he heads coal seventy two point seven percentage of twa shares",
"mr ikin and an investor group he heads coal seventy two point seven percentage of twa shares",
"mr icahn and an investor group he heads cold seventy two point seven percent of twa shares",
"mr icahn and an investor group he heads called seventy two point seven percent of twa 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 icahn and an investor group he heads coal seventy two point seven percent of twa shares', 'mr icahn and an investor group he heads coal seventy two point seven percentage of twa shares', 'mr ikin and an investor group he heads coal seventy two point seven percentage of twa shares', 'mr icahn and an investor group he heads cold seventy two point seven percent of twa shares', 'mr icahn and an investor group he heads called seventy two point seven percent of twa shares'] |
|
[
"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 bryan 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 bella 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 brian j kelly chairman of bellatlantic's investment development unit"
]
| placeholder for ground-truth transcription | 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 bryan 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 bella 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 brian j kelly chairman of bellatlantic's investment development unit"] |
|
[
"its biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollars purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of the united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry",
"it's biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry",
"its biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the automotive industry"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["its biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollars purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollar purchase of the united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry", "it's biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the auto industry", "its biggest was the one billion dollar purchase of a united technologies corporation's inlet subsidiary a major supplier of paint to the automotive industry"] |
|
[
"no one at the state department wants to let spies on him",
"no one at the state department wants to let spies on you",
"no one at the state department wants to let spies on",
"no one at the state department wants to let spies on it",
"no one at the state department wants to let spies on me"
]
| placeholder for ground-truth transcription | 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 at the state department wants to let spies on him', 'no one at the state department wants to let spies on you', 'no one at the state department wants to let spies on', 'no one at the state department wants to let spies on it', 'no one at the state department wants to let spies on me'] |
|
[
"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 the dollar higher that 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 the dollar higher that may curb the demand for u s exports'] |
|
[
"volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand today",
"volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand a day",
"volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand per day",
"volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred and fifty thousand today",
"volume was eighteen million one hundred and nineteen thousand shares compared with ten million five hundred fifty thousand today"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand today', 'volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand a day', 'volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred fifty thousand per day', 'volume was eighteen million one hundred nineteen thousand shares compared with ten million five hundred and fifty thousand today', 'volume was eighteen million one hundred and nineteen thousand shares compared with ten million five hundred fifty thousand today'] |
|
[
"the issue is rated single a by moody's and single a minus by s p",
"the issue is rated single a by moody's and single a minus by s and p",
"the issue is rated single a by moody's and single a minus by s and b",
"the issue is rated single a by moody's and single a minus by s",
"the issue is rated single a by moody's and single a minus by smb"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["the issue is rated single a by moody's and single a minus by s p", "the issue is rated single a by moody's and single a minus by s and p", "the issue is rated single a by moody's and single a minus by s and b", "the issue is rated single a by moody's and single a minus by s", "the issue is rated single a by moody's and single a minus by smb"] |
|
[
"as one of the most acquisition hungry of major banks cityport is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions",
"as one of the most acquisition hungry of major banks citiporp 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 citycorp 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 citi port is often required by regulators to raise additional capital as a condition of making acquisitions"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as one of the most acquisition hungry of major banks cityport is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citicorp is often required by regulators to raise additional capital as a condition of making acquisitions', 'as one of the most acquisition hungry of major banks citiporp 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 citycorp 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 citi port is often required by regulators to raise additional capital as a condition of making acquisitions'] |
|
[
"it adds to the support that the baby building experience says",
"it adds to the support that the main building experience says",
"it adds to the support that the baby building experience has",
"it adds to the support that it's been building through he says",
"it adds to the support that the baby building experience is"
]
| placeholder for ground-truth transcription | 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 adds to the support that the baby building experience says', 'it adds to the support that the main building experience says', 'it adds to the support that the baby building experience has', "it adds to the support that it's been building through he says", 'it adds to the support that the baby building experience is'] |
|
[
"at the close the financial times thirty share index was three point nine points lower one thousand four hundred and eighteen point six",
"at the close the financial times thirty share index was three point nine points lower one thousand four hundred eighteen point six",
"at the close the financial times thirty share index was three point nine points lower one thousand four hundred and eighteen points six",
"at the close the financial times thirty share index was three point nine points lower fourteen eighteen point six",
"at the close the financial times thirty share index was three point nine points lower one four eighteen point six"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['at the close the financial times thirty share index was three point nine points lower one thousand four hundred and eighteen point six', 'at the close the financial times thirty share index was three point nine points lower one thousand four hundred eighteen point six', 'at the close the financial times thirty share index was three point nine points lower one thousand four hundred and eighteen points six', 'at the close the financial times thirty share index was three point nine points lower fourteen eighteen point six', 'at the close the financial times thirty share index was three point nine points lower one four eighteen point six'] |
|
[
"the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven",
"the issue was priced after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven",
"the issue was price after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven",
"the issue was price after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven",
"the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five in nineteen ninety seven"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven', 'the issue was priced after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven', 'the issue was price after auction to yield from three point five percent in nineteen eighty seven to five point five percent in nineteen ninety seven', 'the issue was price after auction to yield from three point five percentage in nineteen eighty seven to five point five percentage in nineteen ninety seven', 'the issue was priced after auction to yield from three point five percent in nineteen eighty seven to five point five in nineteen ninety seven'] |
|
[
"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 administration officials have emphasized that the economies fundamentals remain sound",
"in the efforts to restore market confidence administration officials have emphasized that the economies' fundamentals remain sound",
"in the efforts to restore market confidence administration officials have emphasised 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"
]
| placeholder for ground-truth transcription | 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 administration officials have emphasized that the economies fundamentals remain sound', "in the efforts to restore market confidence administration officials have emphasized that the economies' fundamentals remain sound", "in the efforts to restore market confidence administration officials have emphasised 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"] |
|
[
"it can sign onto the plan file a competing plan or take a completely passive role that neither sources nor processing land",
"it can sign onto the plan file a competing plan or take a completely passive role that neither sources nor processes land",
"it can sign onto the land file a competing land or take a completely passive role that neither sources nor processing land",
"it can sign onto the land file a competing land or take a completely passive role that neither sources nor processes land",
"it can sign onto the plan file a competing plan or take a completely passive role that neither resources nor processing land"
]
| placeholder for ground-truth transcription | 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 onto the plan file a competing plan or take a completely passive role that neither sources nor processing land', 'it can sign onto the plan file a competing plan or take a completely passive role that neither sources nor processes land', 'it can sign onto the land file a competing land or take a completely passive role that neither sources nor processing land', 'it can sign onto the land file a competing land or take a completely passive role that neither sources nor processes land', 'it can sign onto the plan file a competing plan or take a completely passive role that neither resources nor processing land'] |
|
[
"the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful pond rally that day",
"the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful palm rally that day",
"the mae slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful pond rally that day",
"the mae slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful palm rally that day",
"the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful polling rally that day"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful pond rally that day', 'the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful palm rally that day', 'the mae slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful pond rally that day', 'the mae slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful palm rally that day', 'the may slump recorded june twenty second came as a big surprise to los angeles and helped trigger a powerful polling rally that day'] |
|
[
"local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three new members",
"local membership jumped twenty two percentage but the union has already lost twenty eight of the seventy three new members",
"local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three eight new members",
"local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three members",
"local membership jumped twenty two percentage but the union has already lost twenty eight of the seventy three eight 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.
['local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three new members', 'local membership jumped twenty two percentage but the union has already lost twenty eight of the seventy three new members', 'local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three eight new members', 'local membership jumped twenty two percent but the union has already lost twenty eight of the seventy three members', 'local membership jumped twenty two percentage but the union has already lost twenty eight of the seventy three eight new members'] |
|
[
"it had forecasted 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 million dollars to twenty two million dollars",
"it has forecasted nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars",
"it had forecasted one thousand nine hundred and eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars",
"it had forecasted nineteen eighty six fourth quarter loss of eighteen dollars million 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 forecasted 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 million dollars to twenty two million dollars', 'it has forecasted nineteen eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars', 'it had forecasted one thousand nine hundred and eighty six fourth quarter loss of eighteen million dollars to twenty two million dollars', 'it had forecasted nineteen eighty six fourth quarter loss of eighteen dollars million to twenty two million dollars'] |
|
[
"corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli",
"rli corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli",
"corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli",
"corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol",
"a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli', 'rli corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli', 'corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli', 'corporation a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol', 'a peoria illinois based insurance holding company will begin trading friday on the big board under the symbol rli'] |
|
[
"gillette is again a target of a major corporate raid",
"gillette is again the target of a major corporate raid",
"gillette is again a target of a major corporate raider",
"gillette is again the target of a major corporate raider",
"gillette is again a target of a major corporate rape"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['gillette is again a target of a major corporate raid', 'gillette is again the target of a major corporate raid', 'gillette is again a target of a major corporate raider', 'gillette is again the target of a major corporate raider', 'gillette is again a target of a major corporate rape'] |
|
[
"we're going to be bidders said a top official of a major oil company",
"we're going to be bidders said a top official at a major oil company",
"we're going to be bidders said the top official of a major oil company",
"we're going to be bidders said a top official of the major oil company",
"we are going to be bidders said a top official of a major oil 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.
["we're going to be bidders said a top official of a major oil company", "we're going to be bidders said a top official at a major oil company", "we're going to be bidders said the top official of a major oil company", "we're going to be bidders said a top official of the major oil company", 'we are going to be bidders said a top official of a major oil company'] |
|
[
"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 are set by the banks or other institutions to 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 mastercard fees vary because they are set by the banks or other institutions that issue cards",
"visa and mastercard fees vary because they're set by the banks or other institutions that 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 are set by the banks or other institutions to 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 mastercard fees vary because they are set by the banks or other institutions that issue cards', "visa and mastercard fees vary because they're set by the banks or other institutions that issue the cards"] |
|
[
"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 is 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 is how china looks'] |
|
[
"as part of the marketing plan the company will begin airing television commercials during prime time on collection day next tuesday",
"as part of the marketing plan the company will begin airing television commercials during prime time on the election day next tuesday",
"as part of the marketing plan the company will begin airing television commercials during prime time on the collection day next tuesday",
"as part of the marketing plan the company will begin airing television commercials during prime time on election day next tuesday",
"as part of the marketing plan the company will begin airing television commercials during prime time before the election day next tuesday"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as part of the marketing plan the company will begin airing television commercials during prime time on collection day next tuesday', 'as part of the marketing plan the company will begin airing television commercials during prime time on the election day next tuesday', 'as part of the marketing plan the company will begin airing television commercials during prime time on the collection day next tuesday', 'as part of the marketing plan the company will begin airing television commercials during prime time on election day next tuesday', 'as part of the marketing plan the company will begin airing television commercials during prime time before the election day next tuesday'] |
|
[
"companies listed below reported quarterly profit were substantially different from the average of analysts' estimates",
"companies listed below reported quarterly profit were substantially different from the average of analysts estimates",
"companies listed below reported quarterly profit were substantially different from the average of analysts and estimates",
"companies listed below reported quarterly profit substantially different from the average of analysts estimates",
"companies listed below reported quarterly profit substantially different from the average of analysts' estimates"
]
| placeholder for ground-truth transcription | 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 listed below reported quarterly profit were substantially different from the average of analysts' estimates", 'companies listed below reported quarterly profit were substantially different from the average of analysts estimates', 'companies listed below reported quarterly profit were substantially different from the average of analysts and estimates', 'companies listed below reported quarterly profit substantially different from the average of analysts estimates', "companies listed below reported quarterly profit substantially different from the average of analysts' estimates"] |
|
[
"i have my list of changes i'd like to see",
"i have my list of changes i would like to see",
"i have my list of changes i'd like to see them",
"i have my list of changes i'd like to see you",
"i have my list of changes i'd like to see 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.
["i have my list of changes i'd like to see", 'i have my list of changes i would like to see', "i have my list of changes i'd like to see them", "i have my list of changes i'd like to see you", "i have my list of changes i'd like to see it"] |
|
[
"but it is historical as to how the album probably depends most",
"but it is historical as to where the album probably depends most",
"but it is historical as to how the outlet probably depends most",
"but it is historical as to what the album probably depends most",
"but it is historical as to what the outlet probably depends most"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['but it is historical as to how the album probably depends most', 'but it is historical as to where the album probably depends most', 'but it is historical as to how the outlet probably depends most', 'but it is historical as to what the album probably depends most', 'but it is historical as to what the outlet probably depends most'] |
|
[
"the one hundred share index was six point eight points lower at one thousand seven hundred and fifty nine point nine",
"the one hundred share index was 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 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 was six point eight points lower at one thousand seven hundred and fifty nine point nine instead"
]
| placeholder for ground-truth transcription | 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 was six point eight points lower at one thousand seven hundred and fifty nine point nine', 'the one hundred share index was 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 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 was six point eight points lower at one thousand seven hundred and fifty nine point nine instead'] |
|
[
"that was certainly true last week",
"yes that was certainly true last week",
"yeah that was certainly true last week",
"okay that was certainly true last week",
"that was certainly true last week 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.
['that was certainly true last week', 'yes that was certainly true last week', 'yeah that was certainly true last week', 'okay that was certainly true last week', 'that was certainly true last week yeah'] |
|
[
"among export led electrical and computer makers the japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical computer makers the japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical and computer makers japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical computer makers japan victor company fell fifty to two thousand three hundred and twenty",
"among export led electrical and computer makers the japan victor company fell fifty to 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 and computer makers the japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical computer makers the japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical and computer makers japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical computer makers japan victor company fell fifty to two thousand three hundred and twenty', 'among export led electrical and computer makers the japan victor company fell fifty to two thousand three hundred twenty'] |
|
[
"unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings of common stock and took place in september on october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings of common stock that took place in september and october of nineteen eighty seven",
"unless otherwise noted changes involve direct holdings of common stock that took place in september on october of nineteen eighty seven",
"unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['unless otherwise noted changes involve direct holdings of common stock and took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings of common stock and took place in september on october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings of common stock that took place in september and october of nineteen eighty seven', 'unless otherwise noted changes involve direct holdings of common stock that took place in september on october of nineteen eighty seven', 'unless otherwise noted changes involved direct holdings of common stock and took place in september and october of nineteen eighty seven'] |
|
[
"these are uneducated people he says in english so the patients won't understand",
"these are uneducated people he says in english so that patients won't understand",
"these are uneducated people he says in english so patients won't understand",
"these are uneducated people he says in english so the patients won't understand them",
"these are uneducated people he says in english so the patrons won't understand"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["these are uneducated people he says in english so the patients won't understand", "these are uneducated people he says in english so that patients won't understand", "these are uneducated people he says in english so patients won't understand", "these are uneducated people he says in english so the patients won't understand them", "these are uneducated people he says in english so the patrons won't understand"] |
|
[
"it had fourteen point five million common shares outstanding before the issue",
"it had fourteen plus five million common shares outstanding before the issue",
"it had fourteen point five million company shares outstanding before the issue",
"it had fourteen plus five million company shares outstanding before the issue",
"it had fourteen point five million common shares outstanding for the issue"
]
| placeholder for ground-truth transcription | 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 fourteen point five million common shares outstanding before the issue', 'it had fourteen plus five million common shares outstanding before the issue', 'it had fourteen point five million company shares outstanding before the issue', 'it had fourteen plus five million company shares outstanding before the issue', 'it had fourteen point five million common shares outstanding for the issue'] |
|
[
"he declined to name specific products",
"he declined to name the specific products",
"he declined to make specific products",
"he decline to name specific products",
"he declined to name any 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 declined to name the specific products', 'he declined to make specific products', 'he decline to name specific products', 'he declined to name any specific products'] |
|
[
"utility analysts however expect the agreement to be completed without much difficulty",
"utility analyst however expect the agreement to be completed without much difficulty",
"utility analysis however expect the agreement to be completed without much difficulty",
"utilities analysts however expect the agreement to be completed without much difficulty",
"utility analysts however expect agreement to be completed without much difficulty"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['utility analysts however expect the agreement to be completed without much difficulty', 'utility analyst however expect the agreement to be completed without much difficulty', 'utility analysis however expect the agreement to be completed without much difficulty', 'utilities analysts however expect the agreement to be completed without much difficulty', 'utility analysts however expect agreement to be completed without much difficulty'] |
|
[
"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 but then continue working for them may be less dedicated under a 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 but then continue working for them may be less dedicated under a 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'] |
|
[
"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",
"the american stock exchange index lost zero point seven three to three hundred eight point nine four",
"the american stock exchange index lost zero point seven three to three hundred and eight point nine four",
"the american stock exchange index lost zero point seven three to three hundred eighteen point 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', 'the american stock exchange index lost zero point seven three to three hundred eight point nine four', 'the american stock exchange index lost zero point seven three to three hundred and eight point nine four', 'the american stock exchange index lost zero point seven three to three hundred eighteen point nine four'] |
|
[
"a change in the firm's ownership also should turn on a bright warning light",
"a change in the firm's ownership also should turn on bright warning light",
"a change in the firm's ownership also should turn on the bright warning light",
"a change in the firm's ownership also should turn on bright warning lights",
"a change in the firm's ownership also should turn off a bright warning light"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
["a change in the firm's ownership also should turn on a bright warning light", "a change in the firm's ownership also should turn on bright warning light", "a change in the firm's ownership also should turn on the bright warning light", "a change in the firm's ownership also should turn on bright warning lights", "a change in the firm's ownership also should turn off a bright warning light"] |
|
[
"the toronto based company provides mortgage guarantees to the canadian real estate industry",
"the toronto based company provides mortgage warranties to the canadian real estate industry",
"the toronto based company provides mortgage guarantees to the canadian real estate",
"the toronto based company provides mortgage guarantees to canadian real estate industry",
"the toronto based company provides mortgage guarantees to the canadian real estate institution"
]
| placeholder for ground-truth transcription | 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 warranties to the canadian real estate industry', 'the toronto based company provides mortgage guarantees to the canadian real estate', 'the toronto based company provides mortgage guarantees to canadian real estate industry', 'the toronto based company provides mortgage guarantees to the canadian real estate institution'] |
|
[
"before the transaction washington national controlled one point eight million united presidential shares or forty one point five percent of the company",
"before the transaction washington national controlled one point eight million united presidential shares for forty one point five percent of the company",
"before the transaction washington national controlled one point eight million presidential shares or forty one point five percent of the company",
"before the transaction washington national controlled one point eight million united presidential shares or forty one point five percentage of the company",
"before the transaction washington national controlled one point eight million presidential shares for forty one point five percent of the company"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['before the transaction washington national controlled one point eight million united presidential shares or forty one point five percent of the company', 'before the transaction washington national controlled one point eight million united presidential shares for forty one point five percent of the company', 'before the transaction washington national controlled one point eight million presidential shares or forty one point five percent of the company', 'before the transaction washington national controlled one point eight million united presidential shares or forty one point five percentage of the company', 'before the transaction washington national controlled one point eight million presidential shares for forty one point five percent of the company'] |
|
[
"yesterday louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial recovery",
"yesterday louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial cover",
"yesterday louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial coverage",
"yesterday louis's investor service raised low cost credit ratings and the registration of louis outlined our extended financial coverage",
"yesterday louis's investor service raised low cost credit ratings and the registration of louis outlined our extended financial cover"
]
| placeholder for ground-truth transcription | 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 louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial recovery", "yesterday louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial cover", "yesterday louis's investor service raised low cost credit ratings and the registration of louis out in our extended financial coverage", "yesterday louis's investor service raised low cost credit ratings and the registration of louis outlined our extended financial coverage", "yesterday louis's investor service raised low cost credit ratings and the registration of louis outlined our extended financial cover"] |
|
[
"a commission spokesman said a decision on the appeal is expected soon",
"a commission's spokesman said a decision on the appeal is expected soon",
"the commission spokesman said a decision on the appeal is expected soon",
"the commission's spokesman said a decision on the appeal is expected soon",
"a commission spokesperson 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', "a commission's spokesman said a decision on the appeal is expected soon", 'the commission spokesman said a decision on the appeal is expected soon', "the 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 order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representative machinists",
"the order issued late wednesday by judge diana murphys stems from a suit filed in federal court last month by the union representative machinists",
"the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representative machinist",
"the order issued late wednesday by judge diana murphy's stems from a suit filed in federal court last month by the union representative machinists",
"the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representing the machinists"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representative machinists', 'the order issued late wednesday by judge diana murphys stems from a suit filed in federal court last month by the union representative machinists', 'the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representative machinist', "the order issued late wednesday by judge diana murphy's stems from a suit filed in federal court last month by the union representative machinists", 'the order issued late wednesday by judge diana murphy stems from a suit filed in federal court last month by the union representing the machinists'] |
|
[
"closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments",
"closely held times publishing also owns two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments",
"closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local government",
"closely helped times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments",
"closely held times publishing also owns two washington base publications congressional quarterly which covers capitol hill and governing which covers state and local governments"
]
| placeholder for ground-truth transcription | null | null | all_et05_real | null | []
| You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments', 'closely held times publishing also owns two washington based publications congressional quarterly which covers capital hill and governing which covers state and local governments', 'closely held times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local government', 'closely helped times publishing also owns two washington based publications congressional quarterly which covers capitol hill and governing which covers state and local governments', 'closely held times publishing also owns two washington base publications congressional quarterly which covers capitol hill and governing which covers state and local governments'] |
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