SciCode Main Standard D
AI benchmark · Coding
What is SciCode Main Standard?
Measures language models' ability to solve 80 core expert-level scientific research coding problems from SciCode end-to-end without background notes.
Science mostly
“This category evaluates performance on the 80 core scientific research problems within SciCode as originally posed.”
kaggle.com/benchmarks/open-benchmarks/scicode-main-standard ↗“A Research Coding Benchmark Curated by Scientists”
kaggle.com/benchmarks/open-benchmarks/scicode-main-standard ↗
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Built on
SciCode full set
Tier D
Long tail: little or no usage data yet.
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.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- 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 SciCode Main Standard sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-21 snapshot.