Sign inGet started
Dataset · Hugging Face

aicrowd/arc-whestbench-public-2026

Organized by: Alignment Research Center (ARC), AIcrowd WhestBench 2026: ARC White-Box Estimation Challenge WhestBench is a benchmark for white-box activation estimation: given the weights of a randomly initialized ReLU multi-layer perceptron (MLP) and a strict floating-point-operation (FLOP) budget, predict the average post-activation value of every neuron when the network is fed standard Gaussian inputs. This is the WhestBench 2026… See the full description on the dataset page: https://huggingface.co/datasets/aicrowd/arc-whestbench-public-2026.

Author / organizationaicrowd
License (as declared)cc-by-4.0
Downloads22K (as reported by Hugging Face)
Likes0
Created26 May 2026
Last updated at source30 August 2026
whestbenchalignmentneural-network-statisticsbenchmarkwhite-boxmulti-split
Embed this entry
<iframe src="https://silytics.si/embed/item/d3e206a3-9aae-4af0-9069-fea8ff8c87ab" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.