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this post was submitted on 24 Jan 2025
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Futurology
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The dataset consists of 3,000 challenging questions across over a hundred subjects. We publicly release these questions, while maintaining a private test set of held out questions to assess model overfitting.
They say they've addressed this issue.
I still don't get it. And under "Future Model Performance" they say benchmarks quickly get saturated. And maybe it's going to be the same for this one and models could achieve 50% by the end of this year.... Which doesn't really sound like the "last examn" to me. But maybe it's more the approach of coming up with good science questions. And not the exact dataset??
I think the easiest way to explain this, is to say they are testing the ability to reason your way to an answer, to a question so unique, that it doesn't exist anywhere on the internet.