Sign inGet started
Dataset · Hugging Face

anonpaper2026/AutoResearchEval

AutoResearchEval Agent trajectory data for AI-for-Science tasks, collected across 8 frontier models (glm-5.2, claude-sonnet-5, opus-4.8, deepseek-v4-pro, qwen3.7-max, minimax-m3, gemini-3.5-flash, gpt-5-mini) under real agentic harnesses (Claude Code / Codex / Gemini CLI), each running in an isolated container with held-out data and a host-side evaluation service. Two subsets capture two distinct task shapes: open-ended — scientific discovery 70 tasks built from… See the full description on the dataset page: https://huggingface.co/datasets/anonpaper2026/AutoResearchEval.

Author / organizationanonpaper2026
License (as declared)cc-by-4.0
Downloads133 (as reported by Hugging Face)
Likes0
Created26 August 2026
Last updated at source26 August 2026
ai4scienceagent-trajectoriesscientific-discovery
Embed this entry
<iframe src="https://silytics.si/embed/item/661d59d4-0a88-4753-a6d0-05fa3c1b40fc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

133 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.