A curated collection of the world’s most advanced benchmark datasets for evaluating Large Language Model (LLM) Agents.
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Updated
Dec 21, 2025
A curated collection of the world’s most advanced benchmark datasets for evaluating Large Language Model (LLM) Agents.
🧠 Discover and evaluate advanced benchmark datasets for Large Language Model agents to enhance performance assessment in real-world tasks.
Turns raw production logs into a labeled, deduplicated, statistically validated eval dataset. Human-vs-judge agreement measured double-blind (Cohen's κ + bootstrap CI95): a first run blocked at κ=0.26, drove a guideline fix, then cleared at κ=0.80 on the target domain. Honest dedup, HDBSCAN coverage, sha256 provenance, 677 offline tests.
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