Majority Vote and Weighted majority vote does not group by equivalent answers?

[anirudhb11]

Hi!

Thanks for open sourcing the implementation of DeepThink. I was looking into the implementation of simple_majority_vote and weighted_majority_vote here, and one thing I noticed is that the implementation does not group equivalent answers together. So for a given question, if the model answers 0.5 or \frac{1}{2}, these will be counted as two separate answers, when in reality they are the same answer.

Is this intended?

Thanks!