Text Classification Datasets
Collection
4 items
•
Updated
utterance
stringlengths 2
75
| agreement
stringclasses 2
values |
|---|---|
I agree | yes |
I disagree | no |
absolutely certain | yes |
absolutely not | no |
absolutely | yes |
affirmative | yes |
agreed upon | yes |
agreed | yes |
all right | yes |
as if | no |
ask again tomorrow | null |
aye | yes |
by all means | yes |
by no means yes | no |
by no means | no |
can't agree to that | no |
can't agree with that | no |
can't do that | no |
can't say yes to that | no |
can’t answer that now | null |
can’t decide right now | null |
can’t deny it | yes |
can’t make up my mind | null |
can’t say yes or no | null |
certainly | yes |
close enough | yes |
consider it done | yes |
consider me out | no |
considering all options | null |
correct, he is lying | yes |
could be true | null |
could be | null |
could go either direction | null |
could go either way | null |
could swing both ways | null |
couldn't agree more | yes |
couldn't be better | yes |
couldn’t be further from the truth | no |
count me in | yes |
count me in, for sure | yes |
count me out | no |
definitely a no | no |
definitely | yes |
depends on the day | null |
disagreed | no |
do I hate it when companies sell my data? yes, that's certainly undesirable | yes |
do as you wish | yes |
don't bet on it | no |
don't count on it | no |
don't think so | no |
don’t ask me | null |
don’t even ask | no |
don’t even mention it | no |
don’t even think about it | no |
don’t get too excited | no |
don’t get your hopes up | no |
don’t have a preference | null |
don’t have an answer | null |
don’t hold your breath | no |
don’t push it | no |
don’t see it happening | no |
don’t see why not | yes |
don’t waste your breath | no |
far from it | no |
fine by me | yes |
fine with me | yes |
for sure | yes |
forget it | no |
good call | yes |
good point | yes |
got my vote | yes |
hard pass | no |
hard to say | null |
he is lying | no |
he is not lying | yes |
heck no | no |
heck yes | yes |
i can get behind that | yes |
i can get with that | yes |
i can't argue with that | yes |
i cannot agree | no |
i can’t commit | null |
i couldn't say no to that | yes |
i couldn’t agree more | yes |
i couldn’t say no | yes |
i don't think so | no |
i don’t have all the facts | null |
i don’t know at the moment | null |
i got no beef with it | yes |
i guess so | yes |
i have mixed feelings | null |
i have my doubts | no |
i haven’t made up my mind | null |
i might consider it | null |
i need more time | null |
i really think so | yes |
i second that | yes |
i support that | yes |
i think not | no |
i think so | yes |
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This dataset contains a collection of user utterances designed to evaluate models that classify responses to yes/no questions. The dataset includes utterances with clear "yes" or "no" answers, as well as ambiguous, neutral, and conditional responses that may not fit neatly into the binary classification of yes/no. Dataset Overview
Total Samples: 400+ samples
Categories:
Yes: Clear affirmative responses (e.g., "yes", "that's right", "I agree").
No: Clear negative responses (e.g., "no", "I disagree", "not at all").
None: Ambiguous or neutral responses that cannot be classified as clear "yes" or "no" (e.g., "I’m not sure", "It’s complicated", "Let’s wait and see").
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