hypothesis
listlengths 5
5
| transcription
stringlengths 2
920
| input1
stringlengths 3
1.18k
⌀ | hypothesis_concatenated
stringlengths 15
5.37k
⌀ | source
stringclasses 8
values | id
stringclasses 0
values | dummy_str
stringclasses 1
value | dummy_list
listlengths 0
0
| prompt
stringlengths 138
6.25k
|
|---|---|---|---|---|---|---|---|---|
[
"the book starts a young girl named sophie lison bed in an off litch",
"the book starts a young girl named sophie lysen bed in an off litch",
"the book starts a young girl named sophie lysenbeid in an off litch",
"the book starts a young girl named sophie lysenbett in an off litch",
"the book starts a young girl named sophie lysenbede in an off litch"
] |
the book starts a young girl named sophie lies in bed in an orphanage
|
the book starts a young girl named sophie lison bed in an off litch.
|
the book starts a young girl named sophie lysen bed in an off litch. the book starts a young girl named sophie lysenbeid in an off litch. the book starts a young girl named sophie lysenbett in an off litch. the book starts a young girl named sophie lysenbede in an off litch.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the book starts a young girl named sophie lison bed in an off litch', 'the book starts a young girl named sophie lysen bed in an off litch', 'the book starts a young girl named sophie lysenbeid in an off litch', 'the book starts a young girl named sophie lysenbett in an off litch', 'the book starts a young girl named sophie lysenbede in an off litch']
|
|
[
"the convention builds the progressive concept as fellowship progress and peace",
"the convention builds the progressive concept as fellowship progress and peace",
"the convention builds the progressive concept as fellowship progress and peace",
"the convention builds the progressive concept as fellowship progress and peace",
"the convention builds the progressive concept as fellowship progress and peace"
] |
the convention bills the progressive concept as fellowship progress and peace
|
the convention builds the progressive concept as fellowship progress and peace.
|
the convention builds the progressive concept as fellowship progress and peace. the convention builds the progressive concept as fellowship progress and peace. the convention builds the progressive concept as fellowship progress and peace. the convention builds the progressive concept as fellowship progress and peace.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the convention builds the progressive concept as fellowship progress and peace', 'the convention builds the progressive concept as fellowship progress and peace', 'the convention builds the progressive concept as fellowship progress and peace', 'the convention builds the progressive concept as fellowship progress and peace', 'the convention builds the progressive concept as fellowship progress and peace']
|
|
[
"three missions two bombs per plane",
"three missions two bombs per plane",
"three missions two bombs per plane",
"three missions to bombs per plane",
"three missions two bombs per plane"
] |
three missions two bombs per plane
|
three missions two bombs per plane.
|
three missions two bombs per plane. three missions two bombs per plane. three missions to bombs per plane. three missions two bombs per plane.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['three missions two bombs per plane', 'three missions two bombs per plane', 'three missions two bombs per plane', 'three missions to bombs per plane', 'three missions two bombs per plane']
|
|
[
"noise shaping works by putting the quantization error in the feedback loop",
"noise shaping works by putting the quantization error in a feedback loop",
"noise shaping works by putting the quantitization error in the feedback loop",
"noise shaping works by putting the quantization era in the feedback loop",
"noise shaping works by putting the quantinization error in the feedback loop"
] |
noise shaping works by putting the quantization error in a feedback loop
|
noise shaping works by putting the quantization error in the feedback loop.
|
noise shaping works by putting the quantization error in a feedback loop. noise shaping works by putting the quantitization error in the feedback loop. noise shaping works by putting the quantization era in the feedback loop. noise shaping works by putting the quantinization error in the feedback loop.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['noise shaping works by putting the quantization error in the feedback loop', 'noise shaping works by putting the quantization error in a feedback loop', 'noise shaping works by putting the quantitization error in the feedback loop', 'noise shaping works by putting the quantization era in the feedback loop', 'noise shaping works by putting the quantinization error in the feedback loop']
|
|
[
"in english to nod is to fall asleep suddenly",
"in english to nod is to fall asleep suddenly",
"in english to nod is to fall asleep suddenly",
"in english to nod is to fall asleep suddenly",
"in english to nod is to fall asleep suddenly"
] |
in english to nod is to fall asleep suddenly
|
in english to nod is to fall asleep suddenly.
|
in english to nod is to fall asleep suddenly. in english to nod is to fall asleep suddenly. in english to nod is to fall asleep suddenly. in english to nod is to fall asleep suddenly.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['in english to nod is to fall asleep suddenly', 'in english to nod is to fall asleep suddenly', 'in english to nod is to fall asleep suddenly', 'in english to nod is to fall asleep suddenly', 'in english to nod is to fall asleep suddenly']
|
|
[
"the traditional food to serve the casserole involves condensation of melanic acid and transbutinal",
"the traditional food to serve the casserole involves condensation of melonic acid and transbutinal",
"the traditional food to serve the casserole involves condensation of malonic acid and transbutinal",
"the traditional food to serve the casserole involves compensation of melonic acid and transbutinal",
"the traditional food to serve the casserole involves compensation of malonic acid and transbutinal"
] |
the traditional route to sorbic acid involves condensation of malonic acid and trans butenal
|
the traditional food to serve the casserole involves condensation of melanic acid and transbutinal.
|
the traditional food to serve the casserole involves condensation of melonic acid and transbutinal. the traditional food to serve the casserole involves condensation of malonic acid and transbutinal. the traditional food to serve the casserole involves compensation of melonic acid and transbutinal. the traditional food to serve the casserole involves compensation of malonic acid and transbutinal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the traditional food to serve the casserole involves condensation of melanic acid and transbutinal', 'the traditional food to serve the casserole involves condensation of melonic acid and transbutinal', 'the traditional food to serve the casserole involves condensation of malonic acid and transbutinal', 'the traditional food to serve the casserole involves compensation of melonic acid and transbutinal', 'the traditional food to serve the casserole involves compensation of malonic acid and transbutinal']
|
|
[
"seeds sewn in this manner are distributed unevenly which may result in overcrowding",
"seeds zone in this manner are distributed unevenly which may result in overcrowding",
"seeds sown in this manner are distributed unevenly which may result in overcrowding",
"seats sewn in this manner are distributed unevenly which may result in overcrowding",
"seeds sewn in this manner are distributed unevenly which may result in overcrowding"
] |
seeds sown in this manner are distributed unevenly which may result in overcrowding
|
seeds sewn in this manner are distributed unevenly which may result in overcrowding.
|
seeds zone in this manner are distributed unevenly which may result in overcrowding. seeds sown in this manner are distributed unevenly which may result in overcrowding. seats sewn in this manner are distributed unevenly which may result in overcrowding. seeds sewn in this manner are distributed unevenly which may result in overcrowding.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['seeds sewn in this manner are distributed unevenly which may result in overcrowding', 'seeds zone in this manner are distributed unevenly which may result in overcrowding', 'seeds sown in this manner are distributed unevenly which may result in overcrowding', 'seats sewn in this manner are distributed unevenly which may result in overcrowding', 'seeds sewn in this manner are distributed unevenly which may result in overcrowding']
|
|
[
"of all pagos construction projects perhaps the most accomplished is the paris of pentegrin",
"of all parcours and construction projects perhaps the most accomplished is the paris of pentegrin",
"of all pagos construction projects perhaps the most accomplished is the paris of penck",
"of all pagos construction projects perhaps the most accomplished is the paris of pentecost",
"of all parcours construction projects perhaps the most accomplished is the paris of pentegrin"
] |
of all pakal is construction projects perhaps the most accomplished is the palace of palenque
|
of all pagos construction projects perhaps the most accomplished is the paris of pentegrin.
|
of all parcours and construction projects perhaps the most accomplished is the paris of pentegrin. of all pagos construction projects perhaps the most accomplished is the paris of penck. of all pagos construction projects perhaps the most accomplished is the paris of pentecost. of all parcours construction projects perhaps the most accomplished is the paris of pentegrin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['of all pagos construction projects perhaps the most accomplished is the paris of pentegrin', 'of all parcours and construction projects perhaps the most accomplished is the paris of pentegrin', 'of all pagos construction projects perhaps the most accomplished is the paris of penck', 'of all pagos construction projects perhaps the most accomplished is the paris of pentecost', 'of all parcours construction projects perhaps the most accomplished is the paris of pentegrin']
|
|
[
"the embryos are supported in placental yoke sack inside the mother",
"the embryos are supported in placental yoke sac inside the mother",
"the embryos are supported in placental yolk sac inside the mother",
"the embryos are supported in placental yolk sack inside the mother",
"the embryos are supported in placental yoke sac inside the mother"
] |
the embryos are supported in placental yolk sac inside the mother
|
the embryos are supported in placental yoke sack inside the mother.
|
the embryos are supported in placental yoke sac inside the mother. the embryos are supported in placental yolk sac inside the mother. the embryos are supported in placental yolk sack inside the mother. the embryos are supported in placental yoke sac inside the mother.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the embryos are supported in placental yoke sack inside the mother', 'the embryos are supported in placental yoke sac inside the mother', 'the embryos are supported in placental yolk sac inside the mother', 'the embryos are supported in placental yolk sack inside the mother', 'the embryos are supported in placental yoke sac inside the mother']
|
|
[
"instead atoms were observed to only emit discrete frequencies of radiation",
"instead atoms were observed to only emit discreet frequencies of radiation",
"instead atoms were observed to only emit discrete frequencies of radiation",
"instead atoms were observed to only emit discrete frequencies of radiation",
"instead atoms were observed to only emit discrete frequencies of radiation"
] |
instead atoms were observed to only emit discrete frequencies of radiation
|
instead atoms were observed to only emit discrete frequencies of radiation.
|
instead atoms were observed to only emit discreet frequencies of radiation. instead atoms were observed to only emit discrete frequencies of radiation. instead atoms were observed to only emit discrete frequencies of radiation. instead atoms were observed to only emit discrete frequencies of radiation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['instead atoms were observed to only emit discrete frequencies of radiation', 'instead atoms were observed to only emit discreet frequencies of radiation', 'instead atoms were observed to only emit discrete frequencies of radiation', 'instead atoms were observed to only emit discrete frequencies of radiation', 'instead atoms were observed to only emit discrete frequencies of radiation']
|
|
[
"the site is closed in the winter",
"the site is closed in the winter",
"the side is closed in the winter",
"the site is closed in the winter",
"the site is closed in the winter"
] |
the site is closed in the winter
|
the site is closed in the winter.
|
the site is closed in the winter. the side is closed in the winter. the site is closed in the winter. the site is closed in the winter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the site is closed in the winter', 'the site is closed in the winter', 'the side is closed in the winter', 'the site is closed in the winter', 'the site is closed in the winter']
|
|
[
"however some edge picks to remain that are caused by noise and color variation",
"however some edge picks are remained that are caused by noise and color variation",
"however some edgepicks are remained that are caused by noise and color variation",
"however some edge picks are remain that are caused by noise and color variation",
"however some edge picks to remain leather caused by noise and color variation"
] |
however some edge pixels remain that are caused by noise and color variation
|
however some edge picks to remain that are caused by noise and color variation.
|
however some edge picks are remained that are caused by noise and color variation. however some edgepicks are remained that are caused by noise and color variation. however some edge picks are remain that are caused by noise and color variation. however some edge picks to remain leather caused by noise and color variation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however some edge picks to remain that are caused by noise and color variation', 'however some edge picks are remained that are caused by noise and color variation', 'however some edgepicks are remained that are caused by noise and color variation', 'however some edge picks are remain that are caused by noise and color variation', 'however some edge picks to remain leather caused by noise and color variation']
|
|
[
"most accessible beaches on the island are located along the kingston foreshores",
"most accessible beaches on the island are located along the kingston four shores",
"most accessible beaches on the island are located along the kingston four shores",
"most accessible beaches on the island are located along the kingston foreshaws",
"most accessible beaches on the island are located along the kingston foreshorts"
] |
most of the accessible beaches on the island are located along the kingston foreshores
|
most accessible beaches on the island are located along the kingston foreshores.
|
most accessible beaches on the island are located along the kingston four shores. most accessible beaches on the island are located along the kingston four shores. most accessible beaches on the island are located along the kingston foreshaws. most accessible beaches on the island are located along the kingston foreshorts.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['most accessible beaches on the island are located along the kingston foreshores', 'most accessible beaches on the island are located along the kingston four shores', 'most accessible beaches on the island are located along the kingston four shores', 'most accessible beaches on the island are located along the kingston foreshaws', 'most accessible beaches on the island are located along the kingston foreshorts']
|
|
[
"demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products",
"demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products",
"demogoblin directs the doppelganger in a garage against hopgoblin home the altruistic spider man products",
"demo goblin directs the doppelganger in a grudge against hobgoblin whom the altruistic spider man products",
"demogoblin directs the doppelganger in a garage against hope goblin home the altruistic spider man products"
] |
demogoblin directs the doppelganger in a grudge against hobgoblin whom the altruistic spider man protects
|
demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products.
|
demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products. demogoblin directs the doppelganger in a garage against hopgoblin home the altruistic spider man products. demo goblin directs the doppelganger in a grudge against hobgoblin whom the altruistic spider man products. demogoblin directs the doppelganger in a garage against hope goblin home the altruistic spider man products.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products', 'demogoblin directs the doppelganger in a garage against hobgoblin home the altruistic spider man products', 'demogoblin directs the doppelganger in a garage against hopgoblin home the altruistic spider man products', 'demo goblin directs the doppelganger in a grudge against hobgoblin whom the altruistic spider man products', 'demogoblin directs the doppelganger in a garage against hope goblin home the altruistic spider man products']
|
|
[
"the landscape of chrissy field was designed by george hargreaves",
"the landscape of chrissie field was designed by george hargreaves",
"the landscape of chrissy field was designed by george hargraves",
"the landscape of chrissie field was designed by george hargraves",
"the landscape of chrissy field was designed by george hagreves"
] |
the landscape of crissy field was designed by george hargreaves
|
the landscape of chrissy field was designed by george hargreaves.
|
the landscape of chrissie field was designed by george hargreaves. the landscape of chrissy field was designed by george hargraves. the landscape of chrissie field was designed by george hargraves. the landscape of chrissy field was designed by george hagreves.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the landscape of chrissy field was designed by george hargreaves', 'the landscape of chrissie field was designed by george hargreaves', 'the landscape of chrissy field was designed by george hargraves', 'the landscape of chrissie field was designed by george hargraves', 'the landscape of chrissy field was designed by george hagreves']
|
|
[
"dedicated bus service between stephenville and cornerbrook is provided by eddie services",
"dedicated bus service between stephenville and cornerbrook is provided by eddy services",
"dedicated bus service between stephenville and cornerbrook is provided by eddy services",
"dedicated bus service between stephen vilt and cornerbrook is provided by eddie services",
"dedicated bus service between stephen wilk and cornerbrook is provided by eddie services"
] |
dedicated bus service between stephenville and corner brook is provided by eddy services
|
dedicated bus service between stephenville and cornerbrook is provided by eddie services.
|
dedicated bus service between stephenville and cornerbrook is provided by eddy services. dedicated bus service between stephenville and cornerbrook is provided by eddy services. dedicated bus service between stephen vilt and cornerbrook is provided by eddie services. dedicated bus service between stephen wilk and cornerbrook is provided by eddie services.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['dedicated bus service between stephenville and cornerbrook is provided by eddie services', 'dedicated bus service between stephenville and cornerbrook is provided by eddy services', 'dedicated bus service between stephenville and cornerbrook is provided by eddy services', 'dedicated bus service between stephen vilt and cornerbrook is provided by eddie services', 'dedicated bus service between stephen wilk and cornerbrook is provided by eddie services']
|
|
[
"the old angadanaan town was part of the khagayan valley province",
"the old angadanaan town was part of the khagayan valley province",
"the old angadanaan town was part of the kha gayan valley province",
"the old angadanaan town was part of the kha gayan valley province",
"the old angadanaan town was part of the kha gayaan valley province"
] |
the old angadanan town was part of the cagayan valley province
|
the old angadanaan town was part of the khagayan valley province.
|
the old angadanaan town was part of the khagayan valley province. the old angadanaan town was part of the kha gayan valley province. the old angadanaan town was part of the kha gayan valley province. the old angadanaan town was part of the kha gayaan valley province.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the old angadanaan town was part of the khagayan valley province', 'the old angadanaan town was part of the khagayan valley province', 'the old angadanaan town was part of the kha gayan valley province', 'the old angadanaan town was part of the kha gayan valley province', 'the old angadanaan town was part of the kha gayaan valley province']
|
|
[
"the areas to the west also attract very high prices",
"the areas to the west also attract very high prices",
"the areas to the west also attract very high prices",
"the areas to the west also attract very high prices",
"the areas to the west also attract very high prices"
] |
the areas to the west also attract very high prices
|
the areas to the west also attract very high prices.
|
the areas to the west also attract very high prices. the areas to the west also attract very high prices. the areas to the west also attract very high prices. the areas to the west also attract very high prices.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the areas to the west also attract very high prices', 'the areas to the west also attract very high prices', 'the areas to the west also attract very high prices', 'the areas to the west also attract very high prices', 'the areas to the west also attract very high prices']
|
|
[
"there you are you see",
"there you are you see",
"there you are you see",
"there you are you see",
"there you are you see"
] |
there you are you see
|
there you are you see.
|
there you are you see. there you are you see. there you are you see. there you are you see.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there you are you see', 'there you are you see', 'there you are you see', 'there you are you see', 'there you are you see']
|
|
[
"for example digital certificates are protected within time approved cryptographic processors",
"for example digital certificates are protected within time proof cryptographic processors",
"for example digital certificates are protected within time approved cryptographic processors",
"for example digital certificates are protected with in time approved cryptographic processors",
"for example digital certificates are protected within time proof cryptographic processors"
] |
for example digital certificates are protected within tamper proof cryptographic processors
|
for example digital certificates are protected within time approved cryptographic processors.
|
for example digital certificates are protected within time proof cryptographic processors. for example digital certificates are protected within time approved cryptographic processors. for example digital certificates are protected with in time approved cryptographic processors. for example digital certificates are protected within time proof cryptographic processors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['for example digital certificates are protected within time approved cryptographic processors', 'for example digital certificates are protected within time proof cryptographic processors', 'for example digital certificates are protected within time approved cryptographic processors', 'for example digital certificates are protected with in time approved cryptographic processors', 'for example digital certificates are protected within time proof cryptographic processors']
|
|
[
"we say these things with disappointment and sadness for our country",
"we say these things with disappointment and sadness for our country",
"we say these things with disappointment and sadness for our country",
"we say these things with disappointment and sadness for our country",
"we say these things with disappointment and sadness for our country"
] |
we say these things with disappointment and sadness for our country
|
we say these things with disappointment and sadness for our country.
|
we say these things with disappointment and sadness for our country. we say these things with disappointment and sadness for our country. we say these things with disappointment and sadness for our country. we say these things with disappointment and sadness for our country.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['we say these things with disappointment and sadness for our country', 'we say these things with disappointment and sadness for our country', 'we say these things with disappointment and sadness for our country', 'we say these things with disappointment and sadness for our country', 'we say these things with disappointment and sadness for our country']
|
|
[
"worth miami and new york with a focus city in los angeles",
"worth miami and new york with a focus city in los angeles",
"worth miami and new york with a focus city in los angeles",
"worth miami and new york with a focus city in los angeles",
"worth miami and new york with a focus city in los angeles"
] |
worth miami and new york with a focus city in los angeles
|
worth miami and new york with a focus city in los angeles.
|
worth miami and new york with a focus city in los angeles. worth miami and new york with a focus city in los angeles. worth miami and new york with a focus city in los angeles. worth miami and new york with a focus city in los angeles.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['worth miami and new york with a focus city in los angeles', 'worth miami and new york with a focus city in los angeles', 'worth miami and new york with a focus city in los angeles', 'worth miami and new york with a focus city in los angeles', 'worth miami and new york with a focus city in los angeles']
|
|
[
"so one can see the rapid growth within just twenty years",
"so one can see the rapid growth within just twenty years",
"so one can see the rapid growth within just twenty years",
"so one can see the rapid growth within just twenty years",
"so one can see the rapid growth within just twenty years"
] |
so one can see the rapid growth within just twenty years
|
so one can see the rapid growth within just twenty years.
|
so one can see the rapid growth within just twenty years. so one can see the rapid growth within just twenty years. so one can see the rapid growth within just twenty years. so one can see the rapid growth within just twenty years.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['so one can see the rapid growth within just twenty years', 'so one can see the rapid growth within just twenty years', 'so one can see the rapid growth within just twenty years', 'so one can see the rapid growth within just twenty years', 'so one can see the rapid growth within just twenty years']
|
|
[
"fools was written by alan wilder",
"fools was written by ellen wilder",
"fulls was written by alan wilder",
"false was written by alan wilder",
"false was written by ellen wilder"
] |
fools was written by alan wilder
|
fools was written by alan wilder.
|
fools was written by ellen wilder. fulls was written by alan wilder. false was written by alan wilder. false was written by ellen wilder.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['fools was written by alan wilder', 'fools was written by ellen wilder', 'fulls was written by alan wilder', 'false was written by alan wilder', 'false was written by ellen wilder']
|
|
[
"the stock crop disease examines this impact of digital technology on the future of your production",
"the stock crop disease undermines this impact of digital technology on the future of your production",
"instead of corrupt disease undermines this impact of digital technology on the future of your direction",
"this top crop disease examines this impact of digital technology on the future of your production",
"this top crop disease undermines this impact of digital technology on the future of your production"
] |
his doctoral thesis examines the impact of digital technologies on feature film production
|
the stock crop disease examines this impact of digital technology on the future of your production.
|
the stock crop disease undermines this impact of digital technology on the future of your production. instead of corrupt disease undermines this impact of digital technology on the future of your direction. this top crop disease examines this impact of digital technology on the future of your production. this top crop disease undermines this impact of digital technology on the future of your production.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the stock crop disease examines this impact of digital technology on the future of your production', 'the stock crop disease undermines this impact of digital technology on the future of your production', 'instead of corrupt disease undermines this impact of digital technology on the future of your direction', 'this top crop disease examines this impact of digital technology on the future of your production', 'this top crop disease undermines this impact of digital technology on the future of your production']
|
|
[
"uncut that same year carol clark called it a weirdly atmospheric triumph",
"writing in uncut that same year carol clark called it a weirdly atmospheric triumph",
"that same year carol clark called it a weirdly atmospheric triumph",
"uncut that same year carole clark called it a weirdly atmospheric triumph",
"that same year carol clark called it a weirdly atmospheric triumph"
] |
writing in uncut that same year carol clerk called it a weirdly atmospheric triumph
|
uncut that same year carol clark called it a weirdly atmospheric triumph.
|
writing in uncut that same year carol clark called it a weirdly atmospheric triumph. that same year carol clark called it a weirdly atmospheric triumph. uncut that same year carole clark called it a weirdly atmospheric triumph. that same year carol clark called it a weirdly atmospheric triumph.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['uncut that same year carol clark called it a weirdly atmospheric triumph', 'writing in uncut that same year carol clark called it a weirdly atmospheric triumph', 'that same year carol clark called it a weirdly atmospheric triumph', 'uncut that same year carole clark called it a weirdly atmospheric triumph', 'that same year carol clark called it a weirdly atmospheric triumph']
|
|
[
"like spannules hounds generally fall into two types site hounds and scent hounds",
"like spaniels hounds generally fall into two types site hounds and scent hounds",
"like spaniels hounds generally fall into two types site hounds and scent hounds",
"like spannules hounds generally fall into two types site hounds and scent hounds",
"like spaniel is hounds generally fall into two types site hounds and scent hounds"
] |
like spaniels hounds generally fall into two types sighthounds and scenthounds
|
like spannules hounds generally fall into two types site hounds and scent hounds.
|
like spaniels hounds generally fall into two types site hounds and scent hounds. like spaniels hounds generally fall into two types site hounds and scent hounds. like spannules hounds generally fall into two types site hounds and scent hounds. like spaniel is hounds generally fall into two types site hounds and scent hounds.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['like spannules hounds generally fall into two types site hounds and scent hounds', 'like spaniels hounds generally fall into two types site hounds and scent hounds', 'like spaniels hounds generally fall into two types site hounds and scent hounds', 'like spannules hounds generally fall into two types site hounds and scent hounds', 'like spaniel is hounds generally fall into two types site hounds and scent hounds']
|
|
[
"beaver eastern pike serves as the local school district for surrounding areas",
"beaver eastern pike serves as the local school district for surrounding areas",
"beaver eastern pike serves as the local school district for surrounding areas",
"beaver eastern pikes serves as the local school district for surrounding areas",
"beaver east pike serves as the local school district for surrounding areas"
] |
beaver eastern pike serves as the local school district for surrounding areas
|
beaver eastern pike serves as the local school district for surrounding areas.
|
beaver eastern pike serves as the local school district for surrounding areas. beaver eastern pike serves as the local school district for surrounding areas. beaver eastern pikes serves as the local school district for surrounding areas. beaver east pike serves as the local school district for surrounding areas.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['beaver eastern pike serves as the local school district for surrounding areas', 'beaver eastern pike serves as the local school district for surrounding areas', 'beaver eastern pike serves as the local school district for surrounding areas', 'beaver eastern pikes serves as the local school district for surrounding areas', 'beaver east pike serves as the local school district for surrounding areas']
|
|
[
"beria was critical of these works though",
"berya was critical of these works though",
"beria was critical of these works though",
"berea was critical of these works though",
"burya was critical of these works though"
] |
beria was critical of these works though
|
beria was critical of these works though.
|
berya was critical of these works though. beria was critical of these works though. berea was critical of these works though. burya was critical of these works though.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['beria was critical of these works though', 'berya was critical of these works though', 'beria was critical of these works though', 'berea was critical of these works though', 'burya was critical of these works though']
|
|
[
"tikiya was the younger brother of njijit and was extremely powerful",
"tikiya was the younger brother of injigit and was extremely powerful",
"tikiya was the younger brother of engijit and was extremely powerful",
"tikiya was the younger brother of enjigit and was extremely powerful",
"tickia was the younger brother of injigit and was extremely powerful"
] |
atikaya was the younger brother of indrajit and was extremely powerful
|
tikiya was the younger brother of njijit and was extremely powerful.
|
tikiya was the younger brother of injigit and was extremely powerful. tikiya was the younger brother of engijit and was extremely powerful. tikiya was the younger brother of enjigit and was extremely powerful. tickia was the younger brother of injigit and was extremely powerful.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['tikiya was the younger brother of njijit and was extremely powerful', 'tikiya was the younger brother of injigit and was extremely powerful', 'tikiya was the younger brother of engijit and was extremely powerful', 'tikiya was the younger brother of enjigit and was extremely powerful', 'tickia was the younger brother of injigit and was extremely powerful']
|
|
[
"a new restaurant belconis and two new bars were included in the renovation",
"a new restaurant belconis and two new bars were included in the renovation",
"a new restaurant balcony and two new bars were included in the renovation",
"a new restaurant belkonis and two new bars were included in the renovation",
"a new restaurant balcony and two new bars were included in the renovation"
] |
a new restaurant balconies and two new bars were included in the renovation
|
a new restaurant belconis and two new bars were included in the renovation.
|
a new restaurant belconis and two new bars were included in the renovation. a new restaurant balcony and two new bars were included in the renovation. a new restaurant belkonis and two new bars were included in the renovation. a new restaurant balcony and two new bars were included in the renovation.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a new restaurant belconis and two new bars were included in the renovation', 'a new restaurant belconis and two new bars were included in the renovation', 'a new restaurant balcony and two new bars were included in the renovation', 'a new restaurant belkonis and two new bars were included in the renovation', 'a new restaurant balcony and two new bars were included in the renovation']
|
|
[
"some churches have heard of sunday school either before or after the main worship site",
"some churches have heard of sunday school either before or after the main worship sites",
"some churches have heard of sunday school either before or after the main worship service",
"some churches have ordered sunday school either before or after the main worship site",
"some churches have heard of sunday school days before or after the main worship sites"
] |
some churches have adult sunday school either before or after the main worship service
|
some churches have heard of sunday school either before or after the main worship site.
|
some churches have heard of sunday school either before or after the main worship sites. some churches have heard of sunday school either before or after the main worship service. some churches have ordered sunday school either before or after the main worship site. some churches have heard of sunday school days before or after the main worship sites.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['some churches have heard of sunday school either before or after the main worship site', 'some churches have heard of sunday school either before or after the main worship sites', 'some churches have heard of sunday school either before or after the main worship service', 'some churches have ordered sunday school either before or after the main worship site', 'some churches have heard of sunday school days before or after the main worship sites']
|
|
[
"the cytoplasmic layer is home to several organelles like chloroplas and mitochondria",
"the cytoplasmic layer is home to several organelles like chloroplas and mitochondria",
"the cytoplasmic layer is home to several organelles light chloroplas and mitochondria",
"this cytoplasmic layer is home to several organelles like chloroplas and mitochondria",
"this cytoplasmic layer is home to several organelles light chloroplas and mitochondria"
] |
the cytoplasmic layer is home to several organelles like the chloroplasts and mitochondria
|
the cytoplasmic layer is home to several organelles like chloroplas and mitochondria.
|
the cytoplasmic layer is home to several organelles like chloroplas and mitochondria. the cytoplasmic layer is home to several organelles light chloroplas and mitochondria. this cytoplasmic layer is home to several organelles like chloroplas and mitochondria. this cytoplasmic layer is home to several organelles light chloroplas and mitochondria.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the cytoplasmic layer is home to several organelles like chloroplas and mitochondria', 'the cytoplasmic layer is home to several organelles like chloroplas and mitochondria', 'the cytoplasmic layer is home to several organelles light chloroplas and mitochondria', 'this cytoplasmic layer is home to several organelles like chloroplas and mitochondria', 'this cytoplasmic layer is home to several organelles light chloroplas and mitochondria']
|
|
[
"after the hike she was invited on the today show",
"after the hike she was invited on the today show",
"after the hike she was invited on the tour de show",
"after the hike she was invited on the today is show",
"after the hike she was invited on the today show"
] |
after the hike she was invited on the today show
|
after the hike she was invited on the today show.
|
after the hike she was invited on the today show. after the hike she was invited on the tour de show. after the hike she was invited on the today is show. after the hike she was invited on the today show.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['after the hike she was invited on the today show', 'after the hike she was invited on the today show', 'after the hike she was invited on the tour de show', 'after the hike she was invited on the today is show', 'after the hike she was invited on the today show']
|
|
[
"and offer dime",
"and off at dime",
"and off at dime",
"and offer time",
"and off a dime"
] |
and up a dime
|
and offer dime.
|
and off at dime. and off at dime. and offer time. and off a dime.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['and offer dime', 'and off at dime', 'and off at dime', 'and offer time', 'and off a dime']
|
|
[
"the mode to kaikora task was set up to restore control and manage the item",
"the mode to kaikora task force set up to restore control and manage the item",
"the mode to kaikora task force setup to restore control and manage the item",
"the mode to kaikora task force setup to restore control and manage the item",
"the mode to kaikora trust was set up to restore control and manage the item"
] |
the motu kaikoura trust was set up to restore control and manage the island
|
the mode to kaikora task was set up to restore control and manage the item.
|
the mode to kaikora task force set up to restore control and manage the item. the mode to kaikora task force setup to restore control and manage the item. the mode to kaikora task force setup to restore control and manage the item. the mode to kaikora trust was set up to restore control and manage the item.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the mode to kaikora task was set up to restore control and manage the item', 'the mode to kaikora task force set up to restore control and manage the item', 'the mode to kaikora task force setup to restore control and manage the item', 'the mode to kaikora task force setup to restore control and manage the item', 'the mode to kaikora trust was set up to restore control and manage the item']
|
|
[
"the others are enschloch dunes elecotteslow pharrellon marinlands and san pablo bay",
"the others are unshoeched dunes ellacotteslow pharrellon marinlands and san pablo bay",
"the others are enschloch dunes ellacotteslow pharrellon marinlands and san pablo bay",
"the others are unshoeched dunes elecotteslow pharrellon marinlands and san pablo bay",
"the others are enschloch dunes elecotteslow farallon marinlands and san pablo bay"
] |
the others are antioch dunes ellicott slough farallon marin islands and san pablo bay
|
the others are enschloch dunes elecotteslow pharrellon marinlands and san pablo bay.
|
the others are unshoeched dunes ellacotteslow pharrellon marinlands and san pablo bay. the others are enschloch dunes ellacotteslow pharrellon marinlands and san pablo bay. the others are unshoeched dunes elecotteslow pharrellon marinlands and san pablo bay. the others are enschloch dunes elecotteslow farallon marinlands and san pablo bay.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the others are enschloch dunes elecotteslow pharrellon marinlands and san pablo bay', 'the others are unshoeched dunes ellacotteslow pharrellon marinlands and san pablo bay', 'the others are enschloch dunes ellacotteslow pharrellon marinlands and san pablo bay', 'the others are unshoeched dunes elecotteslow pharrellon marinlands and san pablo bay', 'the others are enschloch dunes elecotteslow farallon marinlands and san pablo bay']
|
|
[
"can you follow me or shall i follow you",
"can you follow me or shall i follow you",
"can you follow me or shall i follow you",
"can you follow me or shall i follow you",
"can you follow me or shall i follow you"
] |
can you follow me or shall i follow you
|
can you follow me or shall i follow you.
|
can you follow me or shall i follow you. can you follow me or shall i follow you. can you follow me or shall i follow you. can you follow me or shall i follow you.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['can you follow me or shall i follow you', 'can you follow me or shall i follow you', 'can you follow me or shall i follow you', 'can you follow me or shall i follow you', 'can you follow me or shall i follow you']
|
|
[
"see bathley is recorded in a doomsday book as a better lie",
"see beth lee is recorded in a doomsday book as a better lie",
"see bathley is recorded in a doomsday book as better lie",
"see bathley is recorded in a dome is day book as a better lie",
"see bathley is recorded in a dom is day book as a better lie"
] |
c bathley is recorded in the domesday book as badeleie
|
see bathley is recorded in a doomsday book as a better lie.
|
see beth lee is recorded in a doomsday book as a better lie. see bathley is recorded in a doomsday book as better lie. see bathley is recorded in a dome is day book as a better lie. see bathley is recorded in a dom is day book as a better lie.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['see bathley is recorded in a doomsday book as a better lie', 'see beth lee is recorded in a doomsday book as a better lie', 'see bathley is recorded in a doomsday book as better lie', 'see bathley is recorded in a dome is day book as a better lie', 'see bathley is recorded in a dom is day book as a better lie']
|
|
[
"these reactions are often unselective but can be optimized for specific applications",
"these reactions are often unselective but can be optimized for specific applications",
"these reactions are often unselective but can be optimized for specific applications",
"these reactions are often un selective but can be optimized for specific applications",
"these reactions are often unselective but can be optimized for specific applications"
] |
these reactions are often unselective but can be optimized for specific applications
|
these reactions are often unselective but can be optimized for specific applications.
|
these reactions are often unselective but can be optimized for specific applications. these reactions are often unselective but can be optimized for specific applications. these reactions are often un selective but can be optimized for specific applications. these reactions are often unselective but can be optimized for specific applications.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['these reactions are often unselective but can be optimized for specific applications', 'these reactions are often unselective but can be optimized for specific applications', 'these reactions are often unselective but can be optimized for specific applications', 'these reactions are often un selective but can be optimized for specific applications', 'these reactions are often unselective but can be optimized for specific applications']
|
|
[
"two boys and a girl dressed in traditional clothing",
"two boys and a girl dressed in traditional clothing",
"two boys and a girl dressed in traditional clothing",
"two boys and a girl dressed in traditional clothing",
"two boys and a girl dressed in traditional clothing"
] |
two boys and a girl dressed in traditional clothing
|
two boys and a girl dressed in traditional clothing.
|
two boys and a girl dressed in traditional clothing. two boys and a girl dressed in traditional clothing. two boys and a girl dressed in traditional clothing. two boys and a girl dressed in traditional clothing.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['two boys and a girl dressed in traditional clothing', 'two boys and a girl dressed in traditional clothing', 'two boys and a girl dressed in traditional clothing', 'two boys and a girl dressed in traditional clothing', 'two boys and a girl dressed in traditional clothing']
|
|
[
"the majority of lands in american somal and independent somal are communal",
"the majority of lands in american similar and independent similar are communal",
"the majority of lands in american samoa and independent samoa are communal",
"the majority of lands in american civil law and independent civil law are communal",
"the majority of land in american somal and independent somal are communal"
] |
the majority of lands in american samoa and independent samoa are communal
|
the majority of lands in american somal and independent somal are communal.
|
the majority of lands in american similar and independent similar are communal. the majority of lands in american samoa and independent samoa are communal. the majority of lands in american civil law and independent civil law are communal. the majority of land in american somal and independent somal are communal.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the majority of lands in american somal and independent somal are communal', 'the majority of lands in american similar and independent similar are communal', 'the majority of lands in american samoa and independent samoa are communal', 'the majority of lands in american civil law and independent civil law are communal', 'the majority of land in american somal and independent somal are communal']
|
|
[
"he played cricket for loft house falsely and leads",
"he played cricket for lofthouse falsely and leads",
"he played cricket for lofthouse falsely and leads",
"he played cricket for loft house falsely and leads",
"he played cricket for laughthouse falsely and leads"
] |
he played cricket for lofthouse farsley and leeds
|
he played cricket for loft house falsely and leads.
|
he played cricket for lofthouse falsely and leads. he played cricket for lofthouse falsely and leads. he played cricket for loft house falsely and leads. he played cricket for laughthouse falsely and leads.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he played cricket for loft house falsely and leads', 'he played cricket for lofthouse falsely and leads', 'he played cricket for lofthouse falsely and leads', 'he played cricket for loft house falsely and leads', 'he played cricket for laughthouse falsely and leads']
|
|
[
"the possibility of video game adoption was also mentioned",
"the possibility of videogame adoption was also mentioned",
"in the possibility of video game adoption was also mentioned",
"the possibility of video game adoption was also mentioned",
"the possibility of video game adoption was also mentioned"
] |
the possibility of a video game adaptation was also mentioned
|
the possibility of video game adoption was also mentioned.
|
the possibility of videogame adoption was also mentioned. in the possibility of video game adoption was also mentioned. the possibility of video game adoption was also mentioned. the possibility of video game adoption was also mentioned.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the possibility of video game adoption was also mentioned', 'the possibility of videogame adoption was also mentioned', 'in the possibility of video game adoption was also mentioned', 'the possibility of video game adoption was also mentioned', 'the possibility of video game adoption was also mentioned']
|
|
[
"vein darren deliberately loses",
"vayne darren deliberately loses",
"vein darren delivertly loses",
"vein darren delivertly loses",
"vein darren deliberately looses"
] |
van doren deliberately loses
|
vein darren deliberately loses.
|
vayne darren deliberately loses. vein darren delivertly loses. vein darren delivertly loses. vein darren deliberately looses.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['vein darren deliberately loses', 'vayne darren deliberately loses', 'vein darren delivertly loses', 'vein darren delivertly loses', 'vein darren deliberately looses']
|
|
[
"zeus transformed him into the constellation pegasus and placed him up in the sky",
"these transformed him into the constellation pegasus and placed him up in the sky",
"the use transformed him into the constellation pegasus and placed him up in the sky",
"these transformed him into the constellation pegasus and placed him up in the sky",
"zeus transformed him into the constellation pegasus and placed him up in the sky"
] |
zeus transformed him into the constellation pegasus and placed him up in the sky
|
zeus transformed him into the constellation pegasus and placed him up in the sky.
|
these transformed him into the constellation pegasus and placed him up in the sky. the use transformed him into the constellation pegasus and placed him up in the sky. these transformed him into the constellation pegasus and placed him up in the sky. zeus transformed him into the constellation pegasus and placed him up in the sky.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['zeus transformed him into the constellation pegasus and placed him up in the sky', 'these transformed him into the constellation pegasus and placed him up in the sky', 'the use transformed him into the constellation pegasus and placed him up in the sky', 'these transformed him into the constellation pegasus and placed him up in the sky', 'zeus transformed him into the constellation pegasus and placed him up in the sky']
|
|
[
"its main historical monument is the church dedicated to the nativity of mary",
"its main historical monument is the church dedicated to the nativity of mary",
"its main historical monument is the church dedicated to the nativity of mary",
"its main historical monument is the church dedicated to the nativity of mary",
"its main historical monument is the church dedicated to the nativity of meary"
] |
its main historical monument is the church dedicated to the nativity of mary
|
its main historical monument is the church dedicated to the nativity of mary.
|
its main historical monument is the church dedicated to the nativity of mary. its main historical monument is the church dedicated to the nativity of mary. its main historical monument is the church dedicated to the nativity of mary. its main historical monument is the church dedicated to the nativity of meary.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['its main historical monument is the church dedicated to the nativity of mary', 'its main historical monument is the church dedicated to the nativity of mary', 'its main historical monument is the church dedicated to the nativity of mary', 'its main historical monument is the church dedicated to the nativity of mary', 'its main historical monument is the church dedicated to the nativity of meary']
|
|
[
"he made five century breaks in the match",
"he made five century breaks in the match",
"he made fiveth century breaks in the match",
"he made five century breaks in the match",
"he made five century breaks in the match"
] |
he made five century breaks in the match
|
he made five century breaks in the match.
|
he made five century breaks in the match. he made fiveth century breaks in the match. he made five century breaks in the match. he made five century breaks in the match.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he made five century breaks in the match', 'he made five century breaks in the match', 'he made fiveth century breaks in the match', 'he made five century breaks in the match', 'he made five century breaks in the match']
|
|
[
"martin is married to tony billy martin",
"martin is married to attorney billy martin",
"martin is married to attorney billy martin",
"martin is married to tony billy motten",
"modern is married to tony billy martin"
] |
martin is married to attorney billy martin
|
martin is married to tony billy martin.
|
martin is married to attorney billy martin. martin is married to attorney billy martin. martin is married to tony billy motten. modern is married to tony billy martin.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['martin is married to tony billy martin', 'martin is married to attorney billy martin', 'martin is married to attorney billy martin', 'martin is married to tony billy motten', 'modern is married to tony billy martin']
|
|
[
"there are b celled outcrops on the higher ridges",
"there are b celled outcrops on the higher ridges",
"there are b celled outcrops on the hyrule ridges",
"there are b celled out crops on the higher ridges",
"there are b celled outcrops on the higher ridges"
] |
there are basalt outcrops on the higher ridges
|
there are b celled outcrops on the higher ridges.
|
there are b celled outcrops on the higher ridges. there are b celled outcrops on the hyrule ridges. there are b celled out crops on the higher ridges. there are b celled outcrops on the higher ridges.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are b celled outcrops on the higher ridges', 'there are b celled outcrops on the higher ridges', 'there are b celled outcrops on the hyrule ridges', 'there are b celled out crops on the higher ridges', 'there are b celled outcrops on the higher ridges']
|
|
[
"there are a number of public footpaths and bridal ways including cramble cross",
"there are a number of public footpaths and bridal ways including gravel cross",
"there are a number of public footpaths and bridal ways including grambel cross",
"there are a number of public footpaths and bridal ways including gramble cross",
"there are a number of public footpaths and bridal ways including crambell cross"
] |
there are a number of public footpaths and bridleways including cramble cross
|
there are a number of public footpaths and bridal ways including cramble cross.
|
there are a number of public footpaths and bridal ways including gravel cross. there are a number of public footpaths and bridal ways including grambel cross. there are a number of public footpaths and bridal ways including gramble cross. there are a number of public footpaths and bridal ways including crambell cross.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are a number of public footpaths and bridal ways including cramble cross', 'there are a number of public footpaths and bridal ways including gravel cross', 'there are a number of public footpaths and bridal ways including grambel cross', 'there are a number of public footpaths and bridal ways including gramble cross', 'there are a number of public footpaths and bridal ways including crambell cross']
|
|
[
"traditional lighted female dancers presenting a dance for the audience",
"traditional light of female dancers presenting a dance for the audience",
"traditional native female dancers presenting a dance for the audience",
"traditional lighted female dancers presenting a dance for the audience",
"traditional related female dancers presenting a dance for the audience"
] |
traditional native female dancers presenting a dance for the audience
|
traditional lighted female dancers presenting a dance for the audience.
|
traditional light of female dancers presenting a dance for the audience. traditional native female dancers presenting a dance for the audience. traditional lighted female dancers presenting a dance for the audience. traditional related female dancers presenting a dance for the audience.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['traditional lighted female dancers presenting a dance for the audience', 'traditional light of female dancers presenting a dance for the audience', 'traditional native female dancers presenting a dance for the audience', 'traditional lighted female dancers presenting a dance for the audience', 'traditional related female dancers presenting a dance for the audience']
|
|
[
"however securing the necessary finance seem to proceed to the manufacturing phase proud challenging",
"however securing the necessary finance seems to proceed to the manufacturing phase proud challenging",
"however securing the necessary finance seem to proceed to the manufacturing face proud challenging",
"however securing the necessary finance seems to proceed to the manufacturing phase proud challenging",
"however securing the necessary finance seems to proceed to the manufacturing phase proud challenging"
] |
however securing the necessary financing to proceed to the manufacturing phase proved challenging
|
however securing the necessary finance seem to proceed to the manufacturing phase proud challenging.
|
however securing the necessary finance seems to proceed to the manufacturing phase proud challenging. however securing the necessary finance seem to proceed to the manufacturing face proud challenging. however securing the necessary finance seems to proceed to the manufacturing phase proud challenging. however securing the necessary finance seems to proceed to the manufacturing phase proud challenging.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however securing the necessary finance seem to proceed to the manufacturing phase proud challenging', 'however securing the necessary finance seems to proceed to the manufacturing phase proud challenging', 'however securing the necessary finance seem to proceed to the manufacturing face proud challenging', 'however securing the necessary finance seems to proceed to the manufacturing phase proud challenging', 'however securing the necessary finance seems to proceed to the manufacturing phase proud challenging']
|
|
[
"quetta tours and lenders use different methods to calculate finance charges",
"credit tours and lenders use different methods to calculate finance charges",
"credit tours and lenders use different methods to calculate finance charges",
"creditors and lenders use different methods to calculate finance charges",
"credit tools and lenders use different methods to calculate finance charges"
] |
creditors and lenders use different methods to calculate finance charges
|
quetta tours and lenders use different methods to calculate finance charges.
|
credit tours and lenders use different methods to calculate finance charges. credit tours and lenders use different methods to calculate finance charges. creditors and lenders use different methods to calculate finance charges. credit tools and lenders use different methods to calculate finance charges.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['quetta tours and lenders use different methods to calculate finance charges', 'credit tours and lenders use different methods to calculate finance charges', 'credit tours and lenders use different methods to calculate finance charges', 'creditors and lenders use different methods to calculate finance charges', 'credit tools and lenders use different methods to calculate finance charges']
|
|
[
"he was the longest serving consort of luxembourg",
"he was the longest serving consort of luxembourg",
"he was the longest serving consort of luxembourg",
"he was the longest serving consort of luxembourg",
"he was the longest serving consort of luxembourg"
] |
he was the longest serving consort of luxembourg
|
he was the longest serving consort of luxembourg.
|
he was the longest serving consort of luxembourg. he was the longest serving consort of luxembourg. he was the longest serving consort of luxembourg. he was the longest serving consort of luxembourg.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he was the longest serving consort of luxembourg', 'he was the longest serving consort of luxembourg', 'he was the longest serving consort of luxembourg', 'he was the longest serving consort of luxembourg', 'he was the longest serving consort of luxembourg']
|
|
[
"buff will hold the may glaskin chair in canadian history",
"buff will hold the may glaskin chair in canadian history",
"bathroom holds the mae glaskin chair in canadian history",
"bothwell holds the mae glaskin chair in canadian history",
"bothwell holds the mae glaskin chair in canadian history"
] |
bothwell holds the may gluskin chair in canadian history
|
buff will hold the may glaskin chair in canadian history.
|
buff will hold the may glaskin chair in canadian history. bathroom holds the mae glaskin chair in canadian history. bothwell holds the mae glaskin chair in canadian history. bothwell holds the mae glaskin chair in canadian history.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['buff will hold the may glaskin chair in canadian history', 'buff will hold the may glaskin chair in canadian history', 'bathroom holds the mae glaskin chair in canadian history', 'bothwell holds the mae glaskin chair in canadian history', 'bothwell holds the mae glaskin chair in canadian history']
|
|
[
"however the proposed structure was accepted subsequently",
"however the remote structure was accepted subsequently",
"however the triple structure was accepted subsequently",
"however the report structure was accepted subsequently",
"however the true post structure was accepted subsequently"
] |
however their proposed structure was accepted subsequently
|
however the proposed structure was accepted subsequently.
|
however the remote structure was accepted subsequently. however the triple structure was accepted subsequently. however the report structure was accepted subsequently. however the true post structure was accepted subsequently.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['however the proposed structure was accepted subsequently', 'however the remote structure was accepted subsequently', 'however the triple structure was accepted subsequently', 'however the report structure was accepted subsequently', 'however the true post structure was accepted subsequently']
|
|
[
"like most of their technology weapons often have some degree of sentience",
"like most of the technology weapons often have some degree of sentience",
"like most of their technology weapons often have some degree of sentience",
"like most of their technology weapons often have some degree of sentience",
"like most of their technology weapons often have some degree of sentience"
] |
like most of their technology weapons often have some degree of sentience
|
like most of their technology weapons often have some degree of sentience.
|
like most of the technology weapons often have some degree of sentience. like most of their technology weapons often have some degree of sentience. like most of their technology weapons often have some degree of sentience. like most of their technology weapons often have some degree of sentience.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['like most of their technology weapons often have some degree of sentience', 'like most of the technology weapons often have some degree of sentience', 'like most of their technology weapons often have some degree of sentience', 'like most of their technology weapons often have some degree of sentience', 'like most of their technology weapons often have some degree of sentience']
|
|
[
"it now operates passenger trains pulled by preserved steam locomotives",
"it now operates passenger trains pulled by preserved steam locomotives",
"it now operates passenger train spooled by preserved steam locomotives",
"it now operates passenger trains pulled by preserved steam locomotives",
"it now operates passenger trains pulled by preserved steam locomotives"
] |
it now operates passenger trains pulled by preserved steam locomotives
|
it now operates passenger trains pulled by preserved steam locomotives.
|
it now operates passenger trains pulled by preserved steam locomotives. it now operates passenger train spooled by preserved steam locomotives. it now operates passenger trains pulled by preserved steam locomotives. it now operates passenger trains pulled by preserved steam locomotives.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it now operates passenger trains pulled by preserved steam locomotives', 'it now operates passenger trains pulled by preserved steam locomotives', 'it now operates passenger train spooled by preserved steam locomotives', 'it now operates passenger trains pulled by preserved steam locomotives', 'it now operates passenger trains pulled by preserved steam locomotives']
|
|
[
"shored hills is served by the shored hills police department",
"shored hills is served by the shored hills policy department",
"shorwood hills is served by the shorwood hills police department",
"showerwood hills is served by the showerwood hills police department",
"shorwood hills is served by the shorwood hills police department"
] |
shorewood hills is served by the shorewood hills police department
|
shored hills is served by the shored hills police department.
|
shored hills is served by the shored hills policy department. shorwood hills is served by the shorwood hills police department. showerwood hills is served by the showerwood hills police department. shorwood hills is served by the shorwood hills police department.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['shored hills is served by the shored hills police department', 'shored hills is served by the shored hills policy department', 'shorwood hills is served by the shorwood hills police department', 'showerwood hills is served by the showerwood hills police department', 'shorwood hills is served by the shorwood hills police department']
|
|
[
"the following is a list of these albums that are featured tracks by shapeshifter",
"the following is a list of these albums that are featured tracks by shapeshifter",
"the following is a list of these albums that have featured tracks by shapeshifter",
"the following is a list of these albums that are featured tracks by shape shifter",
"the following is a list of these albums that are featured tracks by shape shifter"
] |
the following is a list of these albums that have featured tracks by shapeshifter
|
the following is a list of these albums that are featured tracks by shapeshifter.
|
the following is a list of these albums that are featured tracks by shapeshifter. the following is a list of these albums that have featured tracks by shapeshifter. the following is a list of these albums that are featured tracks by shape shifter. the following is a list of these albums that are featured tracks by shape shifter.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the following is a list of these albums that are featured tracks by shapeshifter', 'the following is a list of these albums that are featured tracks by shapeshifter', 'the following is a list of these albums that have featured tracks by shapeshifter', 'the following is a list of these albums that are featured tracks by shape shifter', 'the following is a list of these albums that are featured tracks by shape shifter']
|
|
[
"similarly professional athletes regularly subject their bodies to actual bodily harm but recover",
"similarly professional athletes regularly subject their bodies to ensure bodily harm but recover",
"similarly professional athletes regularly subject their bodies to actual bodily harm but recovered",
"similarly professional athletes regularly subject their bodies to actual bodily harm but recover",
"similarly professional athletes regularly subject their bodies to actual bodily harm but recovered"
] |
similarly professional athletes regularly subject their bodies to actual bodily harm but recover
|
similarly professional athletes regularly subject their bodies to actual bodily harm but recover.
|
similarly professional athletes regularly subject their bodies to ensure bodily harm but recover. similarly professional athletes regularly subject their bodies to actual bodily harm but recovered. similarly professional athletes regularly subject their bodies to actual bodily harm but recover. similarly professional athletes regularly subject their bodies to actual bodily harm but recovered.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['similarly professional athletes regularly subject their bodies to actual bodily harm but recover', 'similarly professional athletes regularly subject their bodies to ensure bodily harm but recover', 'similarly professional athletes regularly subject their bodies to actual bodily harm but recovered', 'similarly professional athletes regularly subject their bodies to actual bodily harm but recover', 'similarly professional athletes regularly subject their bodies to actual bodily harm but recovered']
|
|
[
"j clug was previously classified as one of the side card end to dub sleep disorders",
"j clug was previously classified as one of the side cars at the end of the sleep disorders",
"j tlock was previously classified as one of the side card end to dub sleep disorders",
"j tlock was previously classified as one of the side cars at the end of the sleep disorders",
"j clug was previously classified as one of the side cats at the end of the sleep disorders"
] |
jet lag was previously classified as one of the circadian rhythm sleep disorders
|
j clug was previously classified as one of the side card end to dub sleep disorders.
|
j clug was previously classified as one of the side cars at the end of the sleep disorders. j tlock was previously classified as one of the side card end to dub sleep disorders. j tlock was previously classified as one of the side cars at the end of the sleep disorders. j clug was previously classified as one of the side cats at the end of the sleep disorders.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['j clug was previously classified as one of the side card end to dub sleep disorders', 'j clug was previously classified as one of the side cars at the end of the sleep disorders', 'j tlock was previously classified as one of the side card end to dub sleep disorders', 'j tlock was previously classified as one of the side cars at the end of the sleep disorders', 'j clug was previously classified as one of the side cats at the end of the sleep disorders']
|
|
[
"converting between standard volumes is not always straightforward",
"converting between standard volumes is not always straight forward",
"converting between standard volumes is not always straightforward",
"converting between standard volumes is not always straightforward",
"converting between standard volumes is not always straightforward"
] |
converting between standard volumes is not always straightforward
|
converting between standard volumes is not always straightforward.
|
converting between standard volumes is not always straight forward. converting between standard volumes is not always straightforward. converting between standard volumes is not always straightforward. converting between standard volumes is not always straightforward.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['converting between standard volumes is not always straightforward', 'converting between standard volumes is not always straight forward', 'converting between standard volumes is not always straightforward', 'converting between standard volumes is not always straightforward', 'converting between standard volumes is not always straightforward']
|
|
[
"the shore and for eight seasons",
"the shore and for eight seasons",
"sure and for eight seasons",
"a shore and for eight seasons",
"a shore and for eight seasons"
] |
the show ran for eight seasons
|
the shore and for eight seasons.
|
the shore and for eight seasons. sure and for eight seasons. a shore and for eight seasons. a shore and for eight seasons.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the shore and for eight seasons', 'the shore and for eight seasons', 'sure and for eight seasons', 'a shore and for eight seasons', 'a shore and for eight seasons']
|
|
[
"kayak fishing is fishing from a kayak",
"kayak fishing is fishing from kayak",
"kayak fishing is fishing from a kayak",
"coyak fishing is fishing from a kayak",
"kayak fishing is fishing from a kayak"
] |
kayak fishing is fishing from a kayak
|
kayak fishing is fishing from a kayak.
|
kayak fishing is fishing from kayak. kayak fishing is fishing from a kayak. coyak fishing is fishing from a kayak. kayak fishing is fishing from a kayak.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['kayak fishing is fishing from a kayak', 'kayak fishing is fishing from kayak', 'kayak fishing is fishing from a kayak', 'coyak fishing is fishing from a kayak', 'kayak fishing is fishing from a kayak']
|
|
[
"the use of noun incorporation is governed by various discourse factors",
"the use of now in incorporation is governed by various discourse factors",
"the use of now and incorporation is governed by various discourse factors",
"the use of noun incorporation is governed by various discourse factors",
"the use of now and incorporation is governed by various discourse factors"
] |
the use of noun incorporation is governed by various discourse factors
|
the use of noun incorporation is governed by various discourse factors.
|
the use of now in incorporation is governed by various discourse factors. the use of now and incorporation is governed by various discourse factors. the use of noun incorporation is governed by various discourse factors. the use of now and incorporation is governed by various discourse factors.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the use of noun incorporation is governed by various discourse factors', 'the use of now in incorporation is governed by various discourse factors', 'the use of now and incorporation is governed by various discourse factors', 'the use of noun incorporation is governed by various discourse factors', 'the use of now and incorporation is governed by various discourse factors']
|
|
[
"a simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel",
"the simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel",
"simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel",
"a simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel",
"the simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel"
] |
a simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel
|
a simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel.
|
the simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel. simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel. a simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel. the simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['a simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel', 'the simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel', 'simple answer is to sample the continuous gaussian yielding the sampled gaussian kernel', 'a simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel', 'the simple answer is to sample the continuous gaussian yield in the sampled gaussian kernel']
|
|
[
"various accounts mention aquabades cruto or ceebs as the person who ransomed him",
"various accounts mentioned aquabades cruto or ceebs as the person who ransomed him",
"there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him",
"there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him",
"there is accounts mentioned aquabades cruto or cebes as the person who ransomed him"
] |
various accounts mention alcibiades crito or cebes as the person who ransomed him
|
various accounts mention aquabades cruto or ceebs as the person who ransomed him.
|
various accounts mentioned aquabades cruto or ceebs as the person who ransomed him. there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him. there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him. there is accounts mentioned aquabades cruto or cebes as the person who ransomed him.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['various accounts mention aquabades cruto or ceebs as the person who ransomed him', 'various accounts mentioned aquabades cruto or ceebs as the person who ransomed him', 'there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him', 'there is accounts mentioned aquabades cruto or ceebs as the person who ransomed him', 'there is accounts mentioned aquabades cruto or cebes as the person who ransomed him']
|
|
[
"you must remember to ensure the cop",
"you must remember to ensure the car",
"you must remember to ensure the cut",
"you must remember to ensure the card",
"you must remember to ensure the cup"
] |
you must remember to insure the car
|
you must remember to ensure the cop.
|
you must remember to ensure the car. you must remember to ensure the cut. you must remember to ensure the card. you must remember to ensure the cup.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['you must remember to ensure the cop', 'you must remember to ensure the car', 'you must remember to ensure the cut', 'you must remember to ensure the card', 'you must remember to ensure the cup']
|
|
[
"norby is equipped with a miniature and gravity device allowing him to float",
"now be easy equipped with the miniature and gravity device allowing him to float",
"now be easy equipped with a miniature and gravity device allowing him to float",
"now be easy equipped with the miniature and gravity device allowing him to float",
"now be easy equipped with a miniature and gravity device allowing him to float"
] |
norby is equipped with a miniature anti gravity device allowing him to float
|
norby is equipped with a miniature and gravity device allowing him to float.
|
now be easy equipped with the miniature and gravity device allowing him to float. now be easy equipped with a miniature and gravity device allowing him to float. now be easy equipped with the miniature and gravity device allowing him to float. now be easy equipped with a miniature and gravity device allowing him to float.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['norby is equipped with a miniature and gravity device allowing him to float', 'now be easy equipped with the miniature and gravity device allowing him to float', 'now be easy equipped with a miniature and gravity device allowing him to float', 'now be easy equipped with the miniature and gravity device allowing him to float', 'now be easy equipped with a miniature and gravity device allowing him to float']
|
|
[
"territory of guam has the castle doctrine as well",
"territory of guam has the castle doctorine as well",
"territory of guam has the castle doctrine as luke",
"territory of guam has the castle doctrine as luke",
"territory of guam has the castle doctrine as luke"
] |
territory of guam has the castle doctrine as law
|
territory of guam has the castle doctrine as well.
|
territory of guam has the castle doctorine as well. territory of guam has the castle doctrine as luke. territory of guam has the castle doctrine as luke. territory of guam has the castle doctrine as luke.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['territory of guam has the castle doctrine as well', 'territory of guam has the castle doctorine as well', 'territory of guam has the castle doctrine as luke', 'territory of guam has the castle doctrine as luke', 'territory of guam has the castle doctrine as luke']
|
|
[
"bison schools are closed to school or unification",
"bison schools are closed to school unification",
"bison schools are closed to school and unification",
"bison schools are closed to school reunification",
"bison schools are closed through school unification"
] |
bison schools were closed through school unification
|
bison schools are closed to school or unification.
|
bison schools are closed to school unification. bison schools are closed to school and unification. bison schools are closed to school reunification. bison schools are closed through school unification.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['bison schools are closed to school or unification', 'bison schools are closed to school unification', 'bison schools are closed to school and unification', 'bison schools are closed to school reunification', 'bison schools are closed through school unification']
|
|
[
"the laplace transform does the same thing but more generally",
"the laplace transform does the same thing but more generally",
"the laplace transform does the same thing but more generally",
"the laplace transform does the same thing but more generally",
"the laplace transform does the same thing but more generally"
] |
the laplace transform does the same thing but more generally
|
the laplace transform does the same thing but more generally.
|
the laplace transform does the same thing but more generally. the laplace transform does the same thing but more generally. the laplace transform does the same thing but more generally. the laplace transform does the same thing but more generally.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the laplace transform does the same thing but more generally', 'the laplace transform does the same thing but more generally', 'the laplace transform does the same thing but more generally', 'the laplace transform does the same thing but more generally', 'the laplace transform does the same thing but more generally']
|
|
[
"frodo does not have feelings for frodo",
"frodo does not have feelings for frida",
"frodo does not have feelings for friday",
"frodo does not have feelings for fyodor",
"frodo does not have feelings for frida"
] |
schroeder does not have feelings for frieda
|
frodo does not have feelings for frodo.
|
frodo does not have feelings for frida. frodo does not have feelings for friday. frodo does not have feelings for fyodor. frodo does not have feelings for frida.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['frodo does not have feelings for frodo', 'frodo does not have feelings for frida', 'frodo does not have feelings for friday', 'frodo does not have feelings for fyodor', 'frodo does not have feelings for frida']
|
|
[
"cricket is very popular",
"cricket is very popular",
"cricket is very popular",
"cricket is very popular",
"cricket is very popular"
] |
cricket is very popular
|
cricket is very popular.
|
cricket is very popular. cricket is very popular. cricket is very popular. cricket is very popular.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['cricket is very popular', 'cricket is very popular', 'cricket is very popular', 'cricket is very popular', 'cricket is very popular']
|
|
[
"every person requires a filing license before they are allowed to file",
"every person requires a firing license before they are allowed to fly",
"every person requires that filing license before they are allowed to file",
"every person requires a thriving license before they are allowed to fly",
"every person requires a flying license before they are allowed to fly"
] |
every person requires a driving license before they are allowed to drive
|
every person requires a filing license before they are allowed to file.
|
every person requires a firing license before they are allowed to fly. every person requires that filing license before they are allowed to file. every person requires a thriving license before they are allowed to fly. every person requires a flying license before they are allowed to fly.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['every person requires a filing license before they are allowed to file', 'every person requires a firing license before they are allowed to fly', 'every person requires that filing license before they are allowed to file', 'every person requires a thriving license before they are allowed to fly', 'every person requires a flying license before they are allowed to fly']
|
|
[
"he played linebacker in north carolina state university",
"he played linebacker in north carolina state university",
"he played lionbacker in north carolina state university",
"he played linebacker at north carolina state university",
"you played linebacker in north carolina state university"
] |
he played linebacker at north carolina state university
|
he played linebacker in north carolina state university.
|
he played linebacker in north carolina state university. he played lionbacker in north carolina state university. he played linebacker at north carolina state university. you played linebacker in north carolina state university.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he played linebacker in north carolina state university', 'he played linebacker in north carolina state university', 'he played lionbacker in north carolina state university', 'he played linebacker at north carolina state university', 'you played linebacker in north carolina state university']
|
|
[
"it provides a nutritious beverage which invites you to see and color to notice",
"it provides a nutritious beverage which invites you to see and color to notice",
"it provides a nutritious beverage which invites you to see and cover to notice",
"it provides a nutritious beverage which invites you to see and cover to notice",
"it provides a nutritious beverage which invites you to see and color to notice"
] |
it provides a nutritious beverage rich in vitamin c and carotenoids
|
it provides a nutritious beverage which invites you to see and color to notice.
|
it provides a nutritious beverage which invites you to see and color to notice. it provides a nutritious beverage which invites you to see and cover to notice. it provides a nutritious beverage which invites you to see and cover to notice. it provides a nutritious beverage which invites you to see and color to notice.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['it provides a nutritious beverage which invites you to see and color to notice', 'it provides a nutritious beverage which invites you to see and color to notice', 'it provides a nutritious beverage which invites you to see and cover to notice', 'it provides a nutritious beverage which invites you to see and cover to notice', 'it provides a nutritious beverage which invites you to see and color to notice']
|
|
[
"despite this because of her age no one takes so seriously",
"despite this because of her age no one takes her seriously",
"despite this because of her age no one takes so seriously",
"despite this because of her age no one takes her seriously",
"despite this because of her age no one takes so seriously"
] |
despite this because of her age no one takes her seriously
|
despite this because of her age no one takes so seriously.
|
despite this because of her age no one takes her seriously. despite this because of her age no one takes so seriously. despite this because of her age no one takes her seriously. despite this because of her age no one takes so seriously.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['despite this because of her age no one takes so seriously', 'despite this because of her age no one takes her seriously', 'despite this because of her age no one takes so seriously', 'despite this because of her age no one takes her seriously', 'despite this because of her age no one takes so seriously']
|
|
[
"there are also discounts for children for groups or day tickets",
"there are also discounts for children for groups or day tickets",
"there are also discounts for children for groups or day tickets",
"there are also some discounts for children for groups or day tickets",
"there are also discounts for children for groups or day ticket"
] |
there are also some discounts for children for groups or day tickets
|
there are also discounts for children for groups or day tickets.
|
there are also discounts for children for groups or day tickets. there are also discounts for children for groups or day tickets. there are also some discounts for children for groups or day tickets. there are also discounts for children for groups or day ticket.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['there are also discounts for children for groups or day tickets', 'there are also discounts for children for groups or day tickets', 'there are also discounts for children for groups or day tickets', 'there are also some discounts for children for groups or day tickets', 'there are also discounts for children for groups or day ticket']
|
|
[
"many people have left the rural county to seek work elsewhere",
"many people have left the royal county to seek work elsewhere",
"many people have left the royal county to seek work elsewhere",
"many people have left the royal county in to seek work elsewhere",
"many people have not left the rural county to seek work elsewhere"
] |
many people have left the rural county to seek work elsewhere
|
many people have left the rural county to seek work elsewhere.
|
many people have left the royal county to seek work elsewhere. many people have left the royal county to seek work elsewhere. many people have left the royal county in to seek work elsewhere. many people have not left the rural county to seek work elsewhere.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many people have left the rural county to seek work elsewhere', 'many people have left the royal county to seek work elsewhere', 'many people have left the royal county to seek work elsewhere', 'many people have left the royal county in to seek work elsewhere', 'many people have not left the rural county to seek work elsewhere']
|
|
[
"the body cap controls bogus and traction motors are main unchanged",
"the body cap controls bogus and traction motors are may not unchanged",
"the body cap controls bogeys and traction motors are main unchanged",
"the body cap controls bogus and traction motors all may not changed",
"the body cap controls bogeys and traction motors are main unchanged"
] |
the body cab controls bogies and traction motors will remain unchanged
|
the body cap controls bogus and traction motors are main unchanged.
|
the body cap controls bogus and traction motors are may not unchanged. the body cap controls bogeys and traction motors are main unchanged. the body cap controls bogus and traction motors all may not changed. the body cap controls bogeys and traction motors are main unchanged.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the body cap controls bogus and traction motors are main unchanged', 'the body cap controls bogus and traction motors are may not unchanged', 'the body cap controls bogeys and traction motors are main unchanged', 'the body cap controls bogus and traction motors all may not changed', 'the body cap controls bogeys and traction motors are main unchanged']
|
|
[
"born mouth and subsequently rejoined derby county for a second spell",
"bornmouth and subsequently rejoined derby county for a second spell",
"born mouth and subsequently rejoined derby county for a second spell",
"born mouth and subsequently rejoined derby county for a second spell",
"bornmouth and subsequently rejoined derby county for a second spell"
] |
bournemouth and subsequently rejoined derby county for a second spell
|
born mouth and subsequently rejoined derby county for a second spell.
|
bornmouth and subsequently rejoined derby county for a second spell. born mouth and subsequently rejoined derby county for a second spell. born mouth and subsequently rejoined derby county for a second spell. bornmouth and subsequently rejoined derby county for a second spell.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['born mouth and subsequently rejoined derby county for a second spell', 'bornmouth and subsequently rejoined derby county for a second spell', 'born mouth and subsequently rejoined derby county for a second spell', 'born mouth and subsequently rejoined derby county for a second spell', 'bornmouth and subsequently rejoined derby county for a second spell']
|
|
[
"the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh",
"the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh",
"the cars included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh",
"the cast included mark aiden katie bislick kajah mcmohon deborah baker and martin morgueh",
"the cast included mark aiden katie bisswick kajar mcmohon deborah baker and martin morgueh"
] |
the cast included mark aidan katie beswick kaijah mcmahon debra baker and martin mulgrew
|
the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh.
|
the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh. the cars included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh. the cast included mark aiden katie bislick kajah mcmohon deborah baker and martin morgueh. the cast included mark aiden katie bisswick kajar mcmohon deborah baker and martin morgueh.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh', 'the cast included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh', 'the cars included mark aiden katie bisswick kajah mcmohon deborah baker and martin morgueh', 'the cast included mark aiden katie bislick kajah mcmohon deborah baker and martin morgueh', 'the cast included mark aiden katie bisswick kajar mcmohon deborah baker and martin morgueh']
|
|
[
"the viking way runs close by",
"the viking way runs close by",
"the viking way runs close by",
"the viking way runs close by",
"the viking way runs close by"
] |
the viking way runs close by
|
the viking way runs close by.
|
the viking way runs close by. the viking way runs close by. the viking way runs close by. the viking way runs close by.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the viking way runs close by', 'the viking way runs close by', 'the viking way runs close by', 'the viking way runs close by', 'the viking way runs close by']
|
|
[
"beckett was another influence",
"becket was another influence",
"beckett was another influence",
"becket was another influence",
"becket was another influence"
] |
beckett was another influence
|
beckett was another influence.
|
becket was another influence. beckett was another influence. becket was another influence. becket was another influence.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['beckett was another influence', 'becket was another influence', 'beckett was another influence', 'becket was another influence', 'becket was another influence']
|
|
[
"stark contrasts cuts and forcefulness mark the signature of the entire composition",
"stark contrasts cuts and forcefulness mark the signature of the entire composition",
"stuck contrasts cuts and forcefulness mark the signature of the entire composition",
"stuck contrasts cuts and forcefulness mark the signature of the entire composition",
"stuck contrasts cuts and forcefulness mark the signature of the entire composition"
] |
stark contrasts cuts and forcefulness mark the signature of the entire composition
|
stark contrasts cuts and forcefulness mark the signature of the entire composition.
|
stark contrasts cuts and forcefulness mark the signature of the entire composition. stuck contrasts cuts and forcefulness mark the signature of the entire composition. stuck contrasts cuts and forcefulness mark the signature of the entire composition. stuck contrasts cuts and forcefulness mark the signature of the entire composition.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['stark contrasts cuts and forcefulness mark the signature of the entire composition', 'stark contrasts cuts and forcefulness mark the signature of the entire composition', 'stuck contrasts cuts and forcefulness mark the signature of the entire composition', 'stuck contrasts cuts and forcefulness mark the signature of the entire composition', 'stuck contrasts cuts and forcefulness mark the signature of the entire composition']
|
|
[
"once this occurs the bus rises up into a cloud along with the operating model",
"once this occurs the bus rises up into a cloud along with the operating model",
"once this occurs the bus rises up into a cloud along with the operating model",
"once this occurs the bus rises up into a cloud along with the operating model",
"once this occurs the bus rises up into a cloud along with the operating model"
] |
once this occurs the bus rises up into a cloud along with evaporating water
|
once this occurs the bus rises up into a cloud along with the operating model.
|
once this occurs the bus rises up into a cloud along with the operating model. once this occurs the bus rises up into a cloud along with the operating model. once this occurs the bus rises up into a cloud along with the operating model. once this occurs the bus rises up into a cloud along with the operating model.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['once this occurs the bus rises up into a cloud along with the operating model', 'once this occurs the bus rises up into a cloud along with the operating model', 'once this occurs the bus rises up into a cloud along with the operating model', 'once this occurs the bus rises up into a cloud along with the operating model', 'once this occurs the bus rises up into a cloud along with the operating model']
|
|
[
"maintenance shops and workers bunkers were built as well as a train station",
"maintenance shops and workers bunkers were built as well as a train station",
"maintenance shops and workers bunkers were built as well as a train station",
"maintenance shops and workers bunkers were built as well as a train station",
"maintenance shops and workers bankers were built as well as a train station"
] |
maintenance shops and workers bunkers were built as well as a train station
|
maintenance shops and workers bunkers were built as well as a train station.
|
maintenance shops and workers bunkers were built as well as a train station. maintenance shops and workers bunkers were built as well as a train station. maintenance shops and workers bunkers were built as well as a train station. maintenance shops and workers bankers were built as well as a train station.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['maintenance shops and workers bunkers were built as well as a train station', 'maintenance shops and workers bunkers were built as well as a train station', 'maintenance shops and workers bunkers were built as well as a train station', 'maintenance shops and workers bunkers were built as well as a train station', 'maintenance shops and workers bankers were built as well as a train station']
|
|
[
"canonica was born as montcalieri in the province of turin in the piedmont region",
"canonica was born as moncalieri in the province of turin in the piedmont region",
"canonica was born as moncalieri in the province of turing in the piedmont region",
"canonica was born as montcaliere in the province of turin in the piedmont region",
"canonica was born as mon calieri in the province of turin in the piedmont region"
] |
canonica was born at moncalieri in the province of turin in the piedmont region
|
canonica was born as montcalieri in the province of turin in the piedmont region.
|
canonica was born as moncalieri in the province of turin in the piedmont region. canonica was born as moncalieri in the province of turing in the piedmont region. canonica was born as montcaliere in the province of turin in the piedmont region. canonica was born as mon calieri in the province of turin in the piedmont region.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['canonica was born as montcalieri in the province of turin in the piedmont region', 'canonica was born as moncalieri in the province of turin in the piedmont region', 'canonica was born as moncalieri in the province of turing in the piedmont region', 'canonica was born as montcaliere in the province of turin in the piedmont region', 'canonica was born as mon calieri in the province of turin in the piedmont region']
|
|
[
"early remains the administrative center of north storm",
"early remains the administrative center of not stormed",
"early remains the administrative center of not stormed",
"early remains the administrative center of north storm",
"relic remains the administrative center of not stormed"
] |
berwick remains the administrative center of north stormont
|
early remains the administrative center of north storm.
|
early remains the administrative center of not stormed. early remains the administrative center of not stormed. early remains the administrative center of north storm. relic remains the administrative center of not stormed.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['early remains the administrative center of north storm', 'early remains the administrative center of not stormed', 'early remains the administrative center of not stormed', 'early remains the administrative center of north storm', 'relic remains the administrative center of not stormed']
|
|
[
"he later achieved the rank of colonel and was appointed consul general in warsaw",
"he later achieved the rank of colonel and was appointed consul general in warsaw",
"he later achieved the rank of colonel and was appointed consul general in warsaw",
"he later achieved the rank of colonel and was appointed council general in warsaw",
"he later achieved the rank of colonel and was appointed constable general in warsaw"
] |
he later achieved the rank of colonel and was appointed consul general in warsaw
|
he later achieved the rank of colonel and was appointed consul general in warsaw.
|
he later achieved the rank of colonel and was appointed consul general in warsaw. he later achieved the rank of colonel and was appointed consul general in warsaw. he later achieved the rank of colonel and was appointed council general in warsaw. he later achieved the rank of colonel and was appointed constable general in warsaw.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he later achieved the rank of colonel and was appointed consul general in warsaw', 'he later achieved the rank of colonel and was appointed consul general in warsaw', 'he later achieved the rank of colonel and was appointed consul general in warsaw', 'he later achieved the rank of colonel and was appointed council general in warsaw', 'he later achieved the rank of colonel and was appointed constable general in warsaw']
|
|
[
"as with most spaniels and floppy as dogs we are prone to e infections",
"as with most spaniels and floppy as dogs they are prone to e infections",
"as with most spaniels since floppy is dogs they are prone to e infections",
"as with most spaniels since floppy is dogs they are prone to e infections",
"as with most spaniels since floppy is dogs they are prone to e infections"
] |
as with most spaniels and floppy eared dogs they are prone to ear infections
|
as with most spaniels and floppy as dogs we are prone to e infections.
|
as with most spaniels and floppy as dogs they are prone to e infections. as with most spaniels since floppy is dogs they are prone to e infections. as with most spaniels since floppy is dogs they are prone to e infections. as with most spaniels since floppy is dogs they are prone to e infections.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['as with most spaniels and floppy as dogs we are prone to e infections', 'as with most spaniels and floppy as dogs they are prone to e infections', 'as with most spaniels since floppy is dogs they are prone to e infections', 'as with most spaniels since floppy is dogs they are prone to e infections', 'as with most spaniels since floppy is dogs they are prone to e infections']
|
|
[
"the end result is a single vote per candidate",
"the end result is a single vote per candidate",
"the end result is a single vote per candidate",
"the end result is a single vote per candidate",
"the end result is a single vote per candidate"
] |
the end result is a single vote per candidate
|
the end result is a single vote per candidate.
|
the end result is a single vote per candidate. the end result is a single vote per candidate. the end result is a single vote per candidate. the end result is a single vote per candidate.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['the end result is a single vote per candidate', 'the end result is a single vote per candidate', 'the end result is a single vote per candidate', 'the end result is a single vote per candidate', 'the end result is a single vote per candidate']
|
|
[
"he stops there looks around and he comes",
"he stops there looks around and he comes",
"he stops there roots around and becomes joe",
"he stops there roots around and becomes joe",
"he stops there roots around and he comes"
] |
he stops there looks round and beckons jo
|
he stops there looks around and he comes.
|
he stops there looks around and he comes. he stops there roots around and becomes joe. he stops there roots around and becomes joe. he stops there roots around and he comes.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['he stops there looks around and he comes', 'he stops there looks around and he comes', 'he stops there roots around and becomes joe', 'he stops there roots around and becomes joe', 'he stops there roots around and he comes']
|
|
[
"escreation is through small ducts known as metanym freedia",
"escreation is through small ducts known as metanyv freedia",
"escreation is through small ducts known as metanyv friedia",
"escreation is through small ducts known as metaniev freedia",
"escreation is through small ducts known as a metonym free doctor"
] |
excretion is through small ducts known as metanephridia
|
escreation is through small ducts known as metanym freedia.
|
escreation is through small ducts known as metanyv freedia. escreation is through small ducts known as metanyv friedia. escreation is through small ducts known as metaniev freedia. escreation is through small ducts known as a metonym free doctor.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['escreation is through small ducts known as metanym freedia', 'escreation is through small ducts known as metanyv freedia', 'escreation is through small ducts known as metanyv friedia', 'escreation is through small ducts known as metaniev freedia', 'escreation is through small ducts known as a metonym free doctor']
|
|
[
"parboiled rice takes us time to cook and is firmer and less sticky",
"powerboiled rice takes us time to cook and is firmer and less sticky",
"parboiled rice takes us time to cook and is firmer and lusty key",
"powerboiled rice takes us time to cook and is firmer and lusty key",
"parboiled rice takes us time to cook and is firmer and lusty key"
] |
parboiled rice takes less time to cook and is firmer and less sticky
|
parboiled rice takes us time to cook and is firmer and less sticky.
|
powerboiled rice takes us time to cook and is firmer and less sticky. parboiled rice takes us time to cook and is firmer and lusty key. powerboiled rice takes us time to cook and is firmer and lusty key. parboiled rice takes us time to cook and is firmer and lusty key.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['parboiled rice takes us time to cook and is firmer and less sticky', 'powerboiled rice takes us time to cook and is firmer and less sticky', 'parboiled rice takes us time to cook and is firmer and lusty key', 'powerboiled rice takes us time to cook and is firmer and lusty key', 'parboiled rice takes us time to cook and is firmer and lusty key']
|
|
[
"inside of the showdown a revised version of ram raised played",
"inside of the showdown our revised version of ram raised played",
"inside of the showdown a revised version of ram race played",
"inside of the showdown a revised version of ram rays played",
"inside of the showdown a revised version of ram raised played"
] |
in saturday showdown a revised version of ram ray is played
|
inside of the showdown a revised version of ram raised played.
|
inside of the showdown our revised version of ram raised played. inside of the showdown a revised version of ram race played. inside of the showdown a revised version of ram rays played. inside of the showdown a revised version of ram raised played.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['inside of the showdown a revised version of ram raised played', 'inside of the showdown our revised version of ram raised played', 'inside of the showdown a revised version of ram race played', 'inside of the showdown a revised version of ram rays played', 'inside of the showdown a revised version of ram raised played']
|
|
[
"many of the latino immigrants are from mexico guatemala and nicaragua",
"many of the latino immigrants are from mexico guatemala and nicaragua",
"many of the latino immigrants are from mexico guatemala and nicaragua",
"many of the latino immigrants are from mexico guatemala and nicaragua",
"many of the latino immigrants are from mexico guatemala and nicaragua"
] |
many of the latino immigrants are from mexico guatemala and nicaragua
|
many of the latino immigrants are from mexico guatemala and nicaragua.
|
many of the latino immigrants are from mexico guatemala and nicaragua. many of the latino immigrants are from mexico guatemala and nicaragua. many of the latino immigrants are from mexico guatemala and nicaragua. many of the latino immigrants are from mexico guatemala and nicaragua.
|
train_cv
| null |
[] |
You are given a list of hypotheses. Your task is to correct the transcription by correcting the hypothesis.
['many of the latino immigrants are from mexico guatemala and nicaragua', 'many of the latino immigrants are from mexico guatemala and nicaragua', 'many of the latino immigrants are from mexico guatemala and nicaragua', 'many of the latino immigrants are from mexico guatemala and nicaragua', 'many of the latino immigrants are from mexico guatemala and nicaragua']
|
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