Subset (14)

nvidia-canary-1b_ami · 93.7k rows

Split (2)

train · 82k rows

output stringlengths 1 483	hypotheses listlengths 5 5	input stringlengths 20 2.42k	instruction stringclasses 1 value
hey	[ "She's.", "Please.", "She is.", "He's.", "She's," ]	['she is', 'please', 'she is', 'he is', 'she is']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
what other companies had to also with the the the the marketing campaign when they put on a newer remote just some yeah	[ "What other companies had to also with the marketing campaign when they put on a newer remote, just some yeah.", "What other companies had to do also with the marketing campaign when they put on a newer remote, just some yeah.", "What other companies had to also with the marketing campaign when they put on a new remote, just some yeah.", "What other companies had to do also with the marketing campaign when they put on a newer remote, just some.", "What other companies had to also with the marketing campaign when they put on a newer remote, just some." ]	['what other companies had to also with the marketing campaign when they put on a newer remote just some yeah', 'what other companies had to do also with the marketing campaign when they put on a newer remote just some yeah', 'what other companies had to also with the marketing campaign when they put on a new remote just some yeah', 'what other companies had to do also with the marketing campaign when they put on a newer remote just some', 'what other companies had to also with the marketing campaign when they put on a newer remote just some']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
and with the with the with the motto we put fashion in electronics	[ "And with the motto, we put fashion in electronics.", "And then with the motto, we put fashion in electronics.", "And now with the motto, we put fashion in electronics.", "And then with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with", "And then with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with" ]	['and with the motto we put fashion in electronics', 'and then with the motto we put fashion in electronics', 'and now with the motto we put fashion in electronics', 'and then with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with', 'and then with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with the with']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yes.", "Oh.", "Hm.", "Hmm." ]	['yeah', 'yes', '0', 'hm', '']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
and you do not it is not bendable or something i th i think that goes too far	[ "And you don't it's not bendable or something. I think that goes too far.", "And you don't, it's not bendable or something. I think that goes too far.", "And you don't, it's not bendable or something, I think that goes too far.", "And you don't it's not bendable or something, I think that goes too far.", "And you don't, uh, it's not bendable or something. I think that goes too far." ]	['and you do not it is not bendable or something i think that goes too far', 'and you do not it is not bendable or something i think that goes too far', 'and you do not it is not bendable or something i think that goes too far', 'and you do not it is not bendable or something i think that goes too far', 'and you do not it is not bendable or something i think that goes too far']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
i figured well that is ki kinda high tech when when you have a remote control that well when you pick it up it has power	[ "I figured well, that's kind of high tech. When you have a remote controller, well, when you pick it up, it has power.", "I figured well, that's kind of high tech. When you have remote control that well, when you pick it up, it has power.", "I figured well, that's kind of high tech when you have a remote control that well, when you pick it up, it has power.", "I figured well, that's kind of high tech when you have a remote controller, well, when you pick it up, it has power.", "I figured well, that's kind of high tech. When you have a remote control that well, when you pick it up, it has power." ]	['i figured well that is kind of high tech when you have a remote controller well when you pick it up it has power', 'i figured well that is kind of high tech when you have remote control that well when you pick it up it has power', 'i figured well that is kind of high tech when you have a remote control that well when you pick it up it has power', 'i figured well that is kind of high tech when you have a remote controller well when you pick it up it has power', 'i figured well that is kind of high tech when you have a remote control that well when you pick it up it has power']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
they believe that children are influenced by the television and well we are we are aiming to below 40 years	[ "They believe that children are influenced by the television and well, we're aiming to below forty years.", "They believe that children are influenced by the television. Well, we're aiming to below forty years.", "They believe that children are influenced by the television, and well, we're aiming to below forty years.", "They believe that children are influenced by the television and well we're aiming to below forty years.", "They believe that children are influenced by the television. And well, we're aiming to below forty years." ]	['they believe that children are influenced by the television and well we are aiming to below 40 years', 'they believe that children are influenced by the television well we are aiming to below 40 years', 'they believe that children are influenced by the television and well we are aiming to below 40 years', 'they believe that children are influenced by the television and well we are aiming to below 40 years', 'they believe that children are influenced by the television and well we are aiming to below 40 years']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
okay	[ "Okay.", "Oh, okay.", "Oh okay.", "Uh, okay.", "Ah, okay." ]	['okay', '0 okay', '0 okay', 'okay', 'ah okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
okay	[ "Okay.", "Ok.", "OK.", "Okay,", "Okay?" ]	['okay', 'ok', 'ok', 'okay', 'okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
ah	[ "Oh.", "Oh,", "Um.", "Uh.", "Oh?" ]	['0', '0', '', '', '0']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
no	[ "Hm. No.", "Mm. No.", "Hm. Yeah.", "Hmm. No.", "Hmm. Yeah." ]	['hm no', 'no', 'hm yeah', 'no', 'yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
like 213	[ "Like two one three.", "Like two on three.", "Like two one three?", "Like two on three?", "Like two, one, three." ]	['like 213', 'like 2 on 3', 'like 213', 'like 2 on 3', 'like 213']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
that is a bit your d standard design	[ "That's a bit your standard design.", "That's a bit of standard design.", "That's a bit of a standard design.", "That's a bit of your standard design.", "That's a bit you standard design." ]	['that is a bit your standard design', 'that is a bit of standard design', 'that is a bit of a standard design', 'that is a bit of your standard design', 'that is a bit you standard design']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
information	[ "Information.", "formation.", "For mission.", "Information. Yes.", "Information. Your goodness." ]	['information', 'formation', 'for mission', 'information yes', 'information your goodness']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so it would yeah have to be constant constant signaling	[ "So it would have to be constant signaling.", "So, it would have to be constant signaling.", "So it would have to be constant, constant signaling.", "So it would have to be constant constant signaling.", "So it would be have to be constant signaling." ]	['so it would have to be constant signaling', 'so it would have to be constant signaling', 'so it would have to be constant constant signaling', 'so it would have to be constant constant signaling', 'so it would be have to be constant signaling']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
in the master class	[ "In the master class.", "In a master class.", "in the master class.", "in a master class.", "In the Master class." ]	['in the master class', 'in a master class', 'in the master class', 'in a master class', 'in the master class']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yeah,", "Yes.", "yeah.", "Yea." ]	['yeah', 'yeah', 'yes', 'yeah', 'yea']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
well yeah you could say if parental control is only it it will go from 14 to 16 with the page up then but	[ "Well, yeah, you could say if parental control is only, it'll go from fourteen to sixteen with that page up then.", "Well, yeah, you could say if parental control is only, it'll go from fourteen to sixteen with that page up then, but.", "Well, yeah, you could say if parental control is only it'll go from fourteen to sixteen with that page up then.", "Well, yeah, you could say if parental control is only, it'll go from fourteen to sixteen with that page up, then.", "Well, yeah, you could say if parental control is only, it'll go from fourteen to sixteen with the page up then." ]	['well yeah you could say if parental control is only it will go from 14 to 16 with that page up then', 'well yeah you could say if parental control is only it will go from 14 to 16 with that page up then but', 'well yeah you could say if parental control is only it will go from 14 to 16 with that page up then', 'well yeah you could say if parental control is only it will go from 14 to 16 with that page up then', 'well yeah you could say if parental control is only it will go from 14 to 16 with the page up then']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
about the the material	[ "Um, about the the material.", "About the material.", "Um, about the material.", "Um, About the material.", "Um, About the the material." ]	['about the the material', 'about the material', 'about the material', 'about the material', 'about the the material']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
v violent t v	[ "Violent TV.", "Wide NTV.", "Violent Tv.", "Five N TV.", "Fight NTV." ]	['violent tv', 'wide ntv', 'violent tv', '5 n tv', 'fight ntv']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
a mail too from management that it is very popular to use voice recon recognition	[ "A male to phone management that is very popular to use voice recognition.", "A male two phone management that is very popular to use voice recognition.", "A male to phone management that it's very popular to use voice recognition.", "A male two phone management that it's very popular to use voice recognition.", "A male to phone management that it's very popular to use for recognition." ]	['a male to phone management that is very popular to use voice recognition', 'a male 2 phone management that is very popular to use voice recognition', 'a male to phone management that it is very popular to use voice recognition', 'a male 2 phone management that it is very popular to use voice recognition', 'a male to phone management that it is very popular to use for recognition']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so the s a button less	[ "So it's a button less.", "So, it's a button less.", "So that's a button less.", "So a button less.", "So it's a bottom less." ]	['so it is a button less', 'so it is a button less', 'so that is a button less', 'so a button less', 'so it is a bottom less']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "", "Yeah.", "Yes.", "No.", "Yes," ]	['', 'yeah', 'yes', 'no', 'yes']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yes.", "Yeah,", "yeah.", "Yeah, yeah." ]	['yeah', 'yes', 'yeah', 'yeah', 'yeah yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "yeah.", "Yeah,", "Yes.", "Yah." ]	['yeah', 'yeah', 'yeah', 'yes', 'yah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
0	[ "Oh.", "Oh,", "OH.", "Uh.", "Ah." ]	['0', '0', '0', '', 'ah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah that would cover it	[ "Yeah, That would cover it.", "Yeah, that would cover it.", "Yeah that would cover it.", "Yeah. That would cover it.", "Yeah, That would cover it" ]	['yeah that would cover it', 'yeah that would cover it', 'yeah that would cover it', 'yeah that would cover it', 'yeah that would cover it']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yes.", "Mm.", "Yeah, yeah.", "Well, I'm sorry." ]	['yeah', 'yes', '', 'yeah yeah', 'well i am sorry']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
ha	[ "Huh?", "Huh.", "Ha.", "Ah.", "Hah." ]	['huh', 'huh', 'ha', 'ah', 'hah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
0	[ "Oh.", "Ah.", "Okay.", "Uh.", "Oh," ]	['0', 'ah', 'okay', '', '0']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah. I figure we could do that.", "Yeah. I figured we could do that.", "Yeah. I think we could do that.", "Yeah. Yeah. I figured we could do that.", "Yeah. Yeah. I figure we could do that." ]	['yeah i figure we could do that', 'yeah i figured we could do that', 'yeah i think we could do that', 'yeah yeah i figured we could do that', 'yeah yeah i figure we could do that']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
do your thing	[ "Do you think?", "Do you think.", "do you think?", "Did you think?", "Do you have things?" ]	['do you think', 'do you think', 'do you think', 'did you think', 'do you have things']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yeah,", "Yes.", "yeah.", "Yeah?" ]	['yeah', 'yeah', 'yes', 'yeah', 'yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
0	[ "Uh, yeah.", "Uh yeah.", "Uh.", "Oh.", "Oh, yeah." ]	['yeah', 'yeah', '', '0', '0 yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
what what do you think	[ "What do you think?", "Wha what do you think?", "Wha what do you think? Hmm.", "Well, what do you think?", "Wait, what do you think? Hmm." ]	['what do you think', 'wha what do you think', 'wha what do you think', 'well what do you think', 'wait what do you think']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so we decided to take	[ "So we decided to take.", "So, we decided to take.", "So, uh, we decided to take.", "So we decided to take", "So, uh, we decided to take" ]	['so we decided to take', 'so we decided to take', 'so we decided to take', 'so we decided to take', 'so we decided to take']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
it is it is very hot at the moment so it is it is mostly for the management expert to to look what other marketing or did i said management	[ "It is very hot at the moment, so it's mostly for the management expert to look what other marketing or data set management.", "It's very hot at the moment, so it's mostly for the management expert to look what other marketing or data set management.", "It is very hot at the moment. So it's mostly for the management expert to look what other marketing or data set management.", "It's very hot at the moment. So it's mostly for the management expert to look what other marketing or data set management.", "is very hot at the moment. So it's mostly for the management expert to look what other marketing or data set management." ]	['it is very hot at the moment so it is mostly for the management expert to look what other marketing or data set management', 'it is very hot at the moment so it is mostly for the management expert to look what other marketing or data set management', 'it is very hot at the moment so it is mostly for the management expert to look what other marketing or data set management', 'it is very hot at the moment so it is mostly for the management expert to look what other marketing or data set management', 'is very hot at the moment so it is mostly for the management expert to look what other marketing or data set management']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
a little artistic	[ "A little artistic.", "a little artistic.", "A little artistic?", "A little artistic", "A little more artistic." ]	['a little artistic', 'a little artistic', 'a little artistic', 'a little artistic', 'a little more artistic']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
we have decided to do a do the with a touch screen that must be a case around it so it will not be as breakable	[ "We have decided to do it with a touchscreen, but must be a case around it so it won't be as breakable.", "We have decided to do it with a touchscreen but must be a case around it so it won't be as breakable.", "We have decided to do it with a touchscreen, but must be a cage around it so it won't be as breakable.", "We have decided to do it with a touch screen, but must be a case around it so it won't be as breakable.", "We have decided to do it with a touchscreen, but there must be a case around it so it won't be as breakable." ]	['we have decided to do it with a touchscreen but must be a case around it so it will not be as breakable', 'we have decided to do it with a touchscreen but must be a case around it so it will not be as breakable', 'we have decided to do it with a touchscreen but must be a cage around it so it will not be as breakable', 'we have decided to do it with a touch screen but must be a case around it so it will not be as breakable', 'we have decided to do it with a touchscreen but there must be a case around it so it will not be as breakable']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yes.", "Yeah,", "Yep.", "Yeah, that's right." ]	['yeah', 'yes', 'yeah', 'yep', 'yeah that is right']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Mm.", "Hm.", "Yes.", "Hmm." ]	['yeah', '', 'hm', 'yes', '']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
a able to receive	[ "able to receive.", "Able to receive.", "able to receive?", "able to receive", "able to receive," ]	['able to receive', 'able to receive', 'able to receive', 'able to receive', 'able to receive']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yes.", "Yep.", "yeah.", "Yeah," ]	['yeah', 'yes', 'yep', 'yeah', 'yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
just leave the other numbers away	[ "Just leave the other numbers away.", "just leave the other numbers away.", "Just leave the other numbers away?", "Just leave the other numbers away", "Just leave the other number away." ]	['just leave the other numbers away', 'just leave the other numbers away', 'just leave the other numbers away', 'just leave the other numbers away', 'just leave the other number away']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
just have the parents buy some glue and it is not not a part of the remote	[ "Just have the parents buy some glue and it's not a part of the remote.", "Just have the parents buy some glue and it's not not a part of the remote.", "Just have the parents buy some glue, and it's not a part of the remote.", "Just have the parents buy some glue. And it's not a part of the remote.", "Just have the parents buy some glue and it's not part of the remote." ]	['just have the parents buy some glue and it is not a part of the remote', 'just have the parents buy some glue and it is not not a part of the remote', 'just have the parents buy some glue and it is not a part of the remote', 'just have the parents buy some glue and it is not a part of the remote', 'just have the parents buy some glue and it is not part of the remote']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
the parental control will be incorporated but it must be not too complex	[ "The parental control will be incorporated, but it must be not too complex.", "The parental control will be incorporated but it must be not too complex.", "The parental control will be incorporated, but it must not be too complex.", "The parental control will be incorporated. But it must be not too complex.", "The parental control will be incorporated but it must not be too complex." ]	['the parental control will be incorporated but it must be not too complex', 'the parental control will be incorporated but it must be not too complex', 'the parental control will be incorporated but it must not be too complex', 'the parental control will be incorporated but it must be not too complex', 'the parental control will be incorporated but it must not be too complex']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "No.", "Yeah.", "Now.", "Yep.", "You know." ]	['no', 'yeah', 'now', 'yep', 'you know']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so we should make it too complex	[ "So we shouldn't make it too complex.", "So, we shouldn't make it too complex.", "So we should not make it too complex.", "so we shouldn't make it too complex.", "We shouldn't make it too complex." ]	['so we should not make it too complex', 'so we should not make it too complex', 'so we should not make it too complex', 'so we should not make it too complex', 'we should not make it too complex']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah but t v s are not capable of sending	[ "Yeah, but DVs aren't capable of sending.", "Yeah, but DV's aren't capable of sending.", "Yeah but DVs aren't capable of sending.", "Yeah but DV's aren't capable of sending.", "Yeah, but TV's aren't capable of sending." ]	['yeah but dvs are not capable of sending', 'yeah but dv is are not capable of sending', 'yeah but dvs are not capable of sending', 'yeah but dv is are not capable of sending', 'yeah but tv is are not capable of sending']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah the disadvantage vantage is that someone will has to send all the show view numbers of the programs that they remotes and edit it all	[ "This is fantasy. Someone will have to send all the show view numbers of the programs that they took to remote.", "Yeah, this is fantasy is that someone will has to send all the show view numbers of the programs that they took to remote.", "Yeah, this is fantasy is that someone will have to send all the show view numbers of the programs that they took to remote.", "Yeah, this is fantasy, fantasy is that someone will has to send all the show view numbers of the programs that they took to remote.", "Yeah, this is fantasy, fantasy is that someone will has to send all the show view numbers of the programs that they took to remote and had it all." ]	['this is fantasy someone will have to send all the show view numbers of the programs that they took to remote', 'yeah this is fantasy is that someone will has to send all the show view numbers of the programs that they took to remote', 'yeah this is fantasy is that someone will have to send all the show view numbers of the programs that they took to remote', 'yeah this is fantasy fantasy is that someone will has to send all the show view numbers of the programs that they took to remote', 'yeah this is fantasy fantasy is that someone will has to send all the show view numbers of the programs that they took to remote and had it all']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
like a like a moat or s or something	[ "Like a like a mode or s or something.", "Like a like a mode or something.", "Like like a mode or s or something.", "Like like a mode or something.", "Like a like a mode or s or something?" ]	['like a like a mode or s or something', 'like a like a mode or something', 'like like a mode or s or something', 'like like a mode or something', 'like a like a mode or s or something']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
definitely	[ "Definitely.", "Definitely..", "Definitely,", "Definitely...", "definitely." ]	['definitely', 'definitely .', 'definitely', 'definitely .', 'definitely']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
that that does not c that does not co	[ "That that doesn't that doesn't cut.", "That that doesn't that doesn't co", "That that doesn't that doesn't co.", "That that doesn't, that doesn't co", "That that doesn't, that doesn't cut." ]	['that that does not that does not cut', 'that that does not that does not co', 'that that does not that does not co', 'that that does not that does not co', 'that that does not that does not cut']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
the case will be double curved and rubber in a fr flashy fruity color that with cover is removable	[ "The case will be double curved and rubber in a fleshy fruity color, which cover is removable.", "The case will be double curved and rubber in a fleshy, fruity color, which cover is removable.", "The case will be double curved and rubber in a fleshy fruity color, with cover is removable.", "The case will be double curved and rubber in a fleshy, fruity color, with cover is removable.", "The case will be double curved and rubber in a fleshy, fruity color, and which cover is removable." ]	['the case will be double curved and rubber in a fleshy fruity color which cover is removable', 'the case will be double curved and rubber in a fleshy fruity color which cover is removable', 'the case will be double curved and rubber in a fleshy fruity color with cover is removable', 'the case will be double curved and rubber in a fleshy fruity color with cover is removable', 'the case will be double curved and rubber in a fleshy fruity color and which cover is removable']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
just make through a remote as it is but make an option to insert profiles	[ "Just make the remote as it is, but make an option to insert profiles.", "Just make the remote as it is but make an option to insert profiles.", "Just make remote as it is, but make an option to insert profiles.", "Just make remote as it is but make an option to insert profiles.", "Just make the remote as it is. But make an option to insert profiles." ]	['just make the remote as it is but make an option to insert profiles', 'just make the remote as it is but make an option to insert profiles', 'just make remote as it is but make an option to insert profiles', 'just make remote as it is but make an option to insert profiles', 'just make the remote as it is but make an option to insert profiles']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
i i i would choose rubber	[ "I would choose rubber.", "I would choose Robert.", "I would choose Rubber.", "I will choose rubber.", "I will choose Robert." ]	['i would choose rubber', 'i would choose robert', 'i would choose rubber', 'i will choose rubber', 'i will choose robert']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
we take it to the other meeting okay	[ "We take it to the other meeting, okay?", "We take it to the other meeting okay?", "We take it to the other meeting, OK?", "We take it to the other meeting, okay.", "We take it to the other meeting. Okay?" ]	['we take it to the other meeting okay', 'we take it to the other meeting okay', 'we take it to the other meeting ok', 'we take it to the other meeting okay', 'we take it to the other meeting okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
who	[ "Who are?", "Who uh.", "Whoa.", "Ooh.", "Ooh, ah." ]	['who are', 'who', 'whoa', 'ooh', 'ooh ah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
no no it is very simple	[ "No, no, it's very simple.", "No, no. It's very simple.", "No, no it's very simple.", "No no, it's very simple.", "No. No, it's very simple." ]	['no no it is very simple', 'no no it is very simple', 'no no it is very simple', 'no no it is very simple', 'no no it is very simple']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
r th r to the 3rd power	[ "R to the third power.", "Arthr to the third power.", "Art R to the third power.", "Arth R to the third power.", "R, to the third power." ]	['r to the 3rd power', 'arthr to the 3rd power', 'art r to the 3rd power', 'arth r to the 3rd power', 'r to the 3rd power']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
i mean if	[ "I mean this", "I mean, this", "I mean this.", "I mean that's", "I mean, that's" ]	['i mean this', 'i mean this', 'i mean this', 'i mean that is', 'i mean that is']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "No.", "Yeah.", "no.", "Yes.", "No," ]	['no', 'yeah', 'no', 'yes', 'no']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
there are some overall thoughts about new remote controls	[ "There are some overall thoughts about new remote controls.", "Uh, there are some overall thoughts about new remote controls.", "Uh there are some overall thoughts about new remote controls.", "Uh, there are some overall thoughts about new remote controls", "Uh, there are some overall thoughts about new remote controls?" ]	['there are some overall thoughts about new remote controls', 'there are some overall thoughts about new remote controls', 'there are some overall thoughts about new remote controls', 'there are some overall thoughts about new remote controls', 'there are some overall thoughts about new remote controls']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
they they they they like luxurious styles where whereas the young and dynamic they like a more soft materials	[ "They like luxurious styles, whereas the young and dynamic, they like more soft materials.", "They like luxurious styles whereas the young and dynamic, they like more soft materials.", "They like luxurious styles whereas the young and dynamic they like more soft materials.", "They like luxurious styles, whereas the young and dynamic they like more soft materials.", "They like luxurious styles, whereas the young and dynamic, they like a more soft materials." ]	['they like luxurious styles whereas the young and dynamic they like more soft materials', 'they like luxurious styles whereas the young and dynamic they like more soft materials', 'they like luxurious styles whereas the young and dynamic they like more soft materials', 'they like luxurious styles whereas the young and dynamic they like more soft materials', 'they like luxurious styles whereas the young and dynamic they like a more soft materials']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
well i figure if we go for l l c d we we should have the advanced	[ "I figure if we go for LCD we should have the advance.", "I figure if we go for LCD, we should have the advance.", "I figure if we go for LCD we should have the advanced.", "So I figure if we go for LCD, we should have the advance.", "I figure if we go for LCD, we should have the advanced" ]	['i figure if we go for lcd we should have the advance', 'i figure if we go for lcd we should have the advance', 'i figure if we go for lcd we should have the advanced', 'so i figure if we go for lcd we should have the advance', 'i figure if we go for lcd we should have the advanced']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
i i have one thing left	[ "I have one thing left.", "I I have one thing left.", "I, I have one thing left.", "I i have one thing left.", "I I have one thing left, yeah." ]	['i have one thing left', 'i i have one thing left', 'i i have one thing left', 'i i have one thing left', 'i i have one thing left yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
okay	[ "Okay.", "Ok.", "OK.", "Okay,", "okay." ]	['okay', 'ok', 'ok', 'okay', 'okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so y you you just	[ "So you just.", "So you you just.", "So you, you just.", "So, you just.", "So, you you just." ]	['so you just', 'so you you just', 'so you you just', 'so you just', 'so you you just']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
l like in internet explorer	[ "Like in Internet Explorer.", "like in Internet Explorer.", "Like in uh, internet explorer.", "Like in a Internet explorer.", "Like in the Internet Explorer." ]	['like in internet explorer', 'like in internet explorer', 'like in internet explorer', 'like in a internet explorer', 'like in the internet explorer']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
okay	[ "Okay.", "OK.", "Ok.", "Okay, okay.", "Okay?" ]	['okay', 'ok', 'ok', 'okay okay', 'okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah	[ "Yeah.", "Yep.", "No.", "Yup.", "Yes." ]	['yeah', 'yep', 'no', 'yup', 'yes']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
management	[ "Management.", "management.", "management", "Management", "Management. Yes." ]	['management', 'management', 'management', 'management', 'management yes']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so w well firs yes	[ "So well, well, push. Yes.", "So well, well, Bush. Yes.", "So, well, well, Bush. Yes.", "So, well, well, a push. Yes.", "So, well, well, a push yes." ]	['so well well push yes', 'so well well bush yes', 'so well well bush yes', 'so well well a push yes', 'so well well a push yes']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
that then then then you have to go to 3 digit log in	[ "Then then then you have to go to three digit login.", "Then then then you have to go the three digit login.", "That then then then you have to go to three digit login.", "That then then then you have to go the three digit login.", "Then then then you have to code a three digit login." ]	['then then then you have to go to 3 digit login', 'then then then you have to go the 3 digit login', 'that then then then you have to go to 3 digit login', 'that then then then you have to go the 3 digit login', 'then then then you have to code a 3 digit login']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
but there may not be too many buttons	[ "But there may not be too many buttons.", "Uh, but there may not be too many buttons.", "But, there may not be too many buttons.", "but there may not be too many buttons.", "Uh, But there may not be too many buttons." ]	['but there may not be too many buttons', 'but there may not be too many buttons', 'but there may not be too many buttons', 'but there may not be too many buttons', 'but there may not be too many buttons']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
do not have to select a screen 1st and then brightness and then color and un +and push +20 times	[ "Do not have to select a screen first and then brightness and then color and then plus and then push plus twenty times.", "Do not have to select a screen first, and then brightness, and then color, and then plus, and then push plus twenty times.", "Do not have to select a screen first and then brightness and then color and then plus, and then push plus twenty times.", "Do not have to select a screen first, and then brightness, and then color, and then plus and then push plus twenty times.", "Do not have to select a screen first and then brightness, and then color, and then plus, and then push plus twenty times." ]	['do not have to select a screen 1st and then brightness and then color and then +and then push +20 times', 'do not have to select a screen 1st and then brightness and then color and then +and then push +20 times', 'do not have to select a screen 1st and then brightness and then color and then +and then push +20 times', 'do not have to select a screen 1st and then brightness and then color and then +and then push +20 times', 'do not have to select a screen 1st and then brightness and then color and then +and then push +20 times']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
but games	[ "But I games.", "But games.", "But game games.", "But I games,", "Buh. I games." ]	['but i games', 'but games', 'but game games', 'but i games', 'buh i games']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
i just thought it did not work anymore	[ "I just thought. Um, it didn't work anymore.", "I just thought, um, it didn't work anymore.", "I just thought. Um, it doesn't work anymore.", "I just thought, um, it doesn't work anymore.", "I just thought. Why was it? Um, it didn't work anymore." ]	['i just thought it did not work anymore', 'i just thought it did not work anymore', 'i just thought it does not work anymore', 'i just thought it does not work anymore', 'i just thought why was it it did not work anymore']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
and if you w you push p children you do not have to log in but you can only watch children is channels or okay	[ "And if you push children, you don't have to log in, but you can only watch children's channels over there. Okay.", "And if you you push children, you don't have to log in, but you can only watch children's channels over there. Okay.", "And if you, you push children, you don't have to log in, but you can only watch children's channels over there. Okay.", "And if you push children, you don't have to log in, but you can only watch children channels over there. Okay.", "And if you push children, you don't have to log in but you can only watch children's channels over there. Okay." ]	['and if you push children you do not have to log in but you can only watch children is channels over there okay', 'and if you you push children you do not have to log in but you can only watch children is channels over there okay', 'and if you you push children you do not have to log in but you can only watch children is channels over there okay', 'and if you push children you do not have to log in but you can only watch children channels over there okay', 'and if you push children you do not have to log in but you can only watch children is channels over there okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
ah it is yeah	[ "That's yeah.", "That is yeah.", "Yeah, yeah.", "That is, yeah.", "Ah, yeah." ]	['that is yeah', 'that is yeah', 'yeah yeah', 'that is yeah', 'ah yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
you agree	[ "Agree.", "Agreed.", "Agree?", "Agreed?", "agree." ]	['agree', 'agreed', 'agree', 'agreed', 'agree']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
1234 et cetera	[ "One, two, three, four, etcetera.", "One, two, three, four, et cetera.", "One, two, three, four etcetera.", "One, two, three, four et cetera.", "one, two, three, four, et cetera." ]	['1234 etcetera', '1234 et cetera', '1234 etcetera', '1234 et cetera', '1234 et cetera']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
the menu structure	[ "The menu structure.", "the menu structure.", "Menu structure.", "The menu structure?", "The Menu Structure." ]	['the menu structure', 'the menu structure', 'menu structure', 'the menu structure', 'the menu structure']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
the master class	[ "Namaste class.", "The master class.", "Namaste Klaus.", "Namaste Claus.", "The Master Class." ]	['namaste class', 'the master class', 'namaste klaus', 'namaste claus', 'the master class']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
that gives you an whole new effec	[ "That gives you a whole new.", "That gives you an whole new.", "That gives you a whole new I think.", "That gives you an whole new I think.", "That gives you a whole new, I think." ]	['that gives you a whole new', 'that gives you an whole new', 'that gives you a whole new i think', 'that gives you an whole new i think', 'that gives you a whole new i think']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah and on 2	[ "Yeah, and on two.", "Yeah. And on two.", "Yeah and on two.", "Yeah, and onto.", "Yeah. N. O. two." ]	['yeah and on 2', 'yeah and on 2', 'yeah and on 2', 'yeah and onto', 'yeah n 02']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
they like spongy material like yeah a sponge ball	[ "They like spongy material like a sponge bottle.", "They like spongy material, like a sponge bottle.", "They like spongey material like a sponge bottle.", "They like spongey material, like a sponge bottle.", "They like spongy material like a sponge bubble." ]	['they like spongy material like a sponge bottle', 'they like spongy material like a sponge bottle', 'they like spongey material like a sponge bottle', 'they like spongey material like a sponge bottle', 'they like spongy material like a sponge bubble']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
or are we going to put it in and just	[ "Or are we going to put it in and just?", "Or are we going to put it in and just.", "Or are we going to put it in and then just.", "Or are we going to put it in and then just?", "Or are we going to put it in and then just, uh," ]	['or are we going to put it in and just', 'or are we going to put it in and just', 'or are we going to put it in and then just', 'or are we going to put it in and then just', 'or are we going to put it in and then just']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
and if you push parents then yeah	[ "And if you push parents then yeah.", "And if you push parents, then yeah.", "And if you push parents then, yeah.", "And if you push parents, then yeah, so.", "And if you push parents, then yeah, so, uh," ]	['and if you push parents then yeah', 'and if you push parents then yeah', 'and if you push parents then yeah', 'and if you push parents then yeah so', 'and if you push parents then yeah so']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
so it would actually power itself from a t v	[ "So it would actually power itself from the TV.", "So, it would actually power itself from the TV.", "so it would actually power itself from the TV.", "So it would actually power itself, from the TV.", "So it would actually power itself from a TV." ]	['so it would actually power itself from the tv', 'so it would actually power itself from the tv', 'so it would actually power itself from the tv', 'so it would actually power itself from the tv', 'so it would actually power itself from a tv']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
psycho kinetic	[ "Echo Connecticut.", "Echo connection.", "I can connect.", "Echo Connecticut Jacket.", "Echo Connecticut. Jackie." ]	['echo connecticut', 'echo connection', 'i can connect', 'echo connecticut jacket', 'echo connecticut jackie']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah that will be nice	[ "Yeah, that would be nice.", "Yeah, That would be nice.", "Yeah that would be nice.", "Yeah. That would be nice.", "Yeah, that will be nice." ]	['yeah that would be nice', 'yeah that would be nice', 'yeah that would be nice', 'yeah that would be nice', 'yeah that will be nice']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
just make it an option in menu ins install powerful profiles or something	[ "Just make it an option in the menu, install profiles or something.", "Just make it an option in the menu and install profiles or something.", "Just make it an option in the menu, install pro profiles or something.", "Just make it an option in the menu and install pro profiles or something.", "Just make it an option in the menu, install profile profiles or something." ]	['just make it an option in the menu install profiles or something', 'just make it an option in the menu and install profiles or something', 'just make it an option in the menu install pro profiles or something', 'just make it an option in the menu and install pro profiles or something', 'just make it an option in the menu install profile profiles or something']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
the user interface concept	[ "The user interface concept.", "the user interface concept.", "The user interface concept?", "User interface concept.", "The User Interface concept." ]	['the user interface concept', 'the user interface concept', 'the user interface concept', 'user interface concept', 'the user interface concept']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
yeah probably	[ "Yeah, probably.", "Yeah probably.", "Yeah, Probably.", "Yeah. Probably.", "yeah, probably." ]	['yeah probably', 'yeah probably', 'yeah probably', 'yeah probably', 'yeah probably']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
okay	[ "Okay.", "OK.", "Ok.", "Okay?", "OK?" ]	['okay', 'ok', 'ok', 'okay', 'ok']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
and w when you want to use the parents option you have to	[ "When you want to use a parents option, you have to.", "When you want to use the parents option, you have to.", "When you want to use a parent's option, you have to.", "When you want to use a parents option you have to.", "When you want to use the parents option you have to." ]	['when you want to use a parents option you have to', 'when you want to use the parents option you have to', 'when you want to use a parent is option you have to', 'when you want to use a parents option you have to', 'when you want to use the parents option you have to']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
0 okay	[ "Okay.", "Oh, okay.", "Oh okay.", "Oh, Okay.", "Oh. Okay." ]	['okay', '0 okay', '0 okay', '0 okay', '0 okay']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
th th yeah	[ "Yeah.", "Yeah. Yeah.", "Yeah, yeah.", "Yeah. Yeah. Yeah.", "Yeah. Yeah. Yeah, yeah." ]	['yeah', 'yeah yeah', 'yeah yeah', 'yeah yeah yeah', 'yeah yeah yeah yeah']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.
maybe even li like this with u uses of a lot of space	[ "Maybe even like this with the usage of a lot of space.", "Maybe even like this with usage of a lot of space.", "Maybe even like this, with usage of a lot of space.", "Maybe even like this, with the usage of a lot of space.", "Maybe even, like this, with the usage of a lot of space." ]	['maybe even like this with the usage of a lot of space', 'maybe even like this with usage of a lot of space', 'maybe even like this with usage of a lot of space', 'maybe even like this with the usage of a lot of space', 'maybe even like this with the usage of a lot of space']	The following text contains 5-best hypotheses from an Automatic Speech Recognition system. As part of a speech recognition task, please perform error correction on the hypotheses to generate the most accurate transcription of the spoken text.

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