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dvader13/forecastgen-artifacts

Forecast-Generalization: raw evaluation outputs across 38 reasoning models Complete generation-level outputs, per-seed scores and analysis artifacts from a study of how well benchmark performance forecasts generalization to held-out reasoning tasks. Most released evaluations report only aggregate accuracy. This release keeps the raw per-problem, per-seed generations, so item-level analyses can be redone without re-running any inference. What is here 38 models… See the full description on the dataset page: https://huggingface.co/datasets/dvader13/forecastgen-artifacts.

sourceHugging Faceapache-2.0updated 28d agoView on Hugging Face
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