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Hi there! I noticed that the sample data record in the README might contain a mistake -- just wanted to ask for clarification in case I'm misunderstanding something.
The questions for Case 2500 ask for the capital of the country in which the CEO of Triple H holds citizenship. Afaik, Triple H is a person, not an organization? So perhaps it should read "the CEO of the employer of Triple H" instead?
Seems like this might be an issue with GPT-3.5, which generated the multi-hop questions. Is that correct?
The text was updated successfully, but these errors were encountered:
[
'Which writer\'s country of citizenship is the same as the author of "Misery"?',
'What country does the author of "Misery" and another writer share their citizenship?',
'What is the nationality of the author of "Misery"?'
]
But it seems like the question should really just be about the nationality of the author of "Misery".
Hi @kmeng01!
Thanks for pointing out! Yes, GPT-3.5 seems not to work well on case 2500 -- I plan to replace it with another example in README.
We also found that some generated multi-hop questions can be hard to interpret (e.g., first two questions in case 2); so we generate three questions and check the correctness of predictions in an "or" manner (i.e., whether models can understand and answer any of these questions).
Hi there! I noticed that the sample data record in the README might contain a mistake -- just wanted to ask for clarification in case I'm misunderstanding something.
The
questions
for Case 2500 ask for the capital of the country in which the CEO of Triple H holds citizenship. Afaik, Triple H is a person, not an organization? So perhaps it should read "the CEO of the employer of Triple H" instead?Seems like this might be an issue with GPT-3.5, which generated the multi-hop questions. Is that correct?
The text was updated successfully, but these errors were encountered: