Sign inGet started
Dataset · Hugging Face

GMLRVigil/BenchCheck-Pool

BenchCheck-Pool: full-item-pool screening, steps 1-3 (run package) This package lets an agent on a separate GPU machine run the three model-based screening steps of the BenchCheck full-item pool and send the per-item results back. Everything needed is here except the two open-weight models (downloaded from the Hugging Face hub) and the frame cache, which sits in the companion dataset GMLRVigil/BenchCheck-Pool-Frames (public). Produce: results/pool/step1/*.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/GMLRVigil/BenchCheck-Pool.

Author / organizationGMLRVigil
Downloads152 (as reported by Hugging Face)
Likes0
Created8 September 2026
Last updated at source13 September 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/7ebc1020-c77b-4558-b67d-d62f257fee22" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from GMLRVigil

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.