Curator Evals B
AI benchmark · Enterprise Workflows
- Publisher
- Collinear
- Domains
- Enterprise Workflows Long-Horizon
- On X
- @collinearAI ↗
- Tier
- B why
- Snapshot
Latest from Collinear on X
@collinearAI ↗What is Curator Evals?
Curator Evals measures how well models acting as data curators or reward models judge the correctness of code solutions, scored by accuracy on 1302 coding problems.
Coding mostly
“The Curator Evals benchmark for code correctness is based on a curated dataset on Hugging Face Hub”
blog.collinear.ai/p/curator-evals ↗
Who built Curator Evals
Collinear built it
“At Collinear, we built Curator Evals: a benchmarking and evaluation library designed to systematically measure the performance of curators and reward models.”
blog.collinear.ai/p/curator-evals ↗
Tier B
Established: 15 or more models scored, or curated RL directories rate it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- built by Collinear
- in curated RL directories (3 pts)
How we got to tier B
- Adoption: built by Collinear. Tier C.
- Not yet read on X.
- In curated RL directories: 3 points, a floor of B. Raised to B.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where Curator Evals sits
Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.