SciCode Subproblem Standard D
AI benchmark · Coding
What is SciCode Subproblem Standard?
Measures models' ability to solve decomposed scientific research coding subproblems curated by scientists, without background notes.
Coding mostly
“A Research Coding Benchmark Curated by Scientists”
kaggle.com/benchmarks/open-benchmarks/scicode-subproblem-sta… ↗“A Research Coding Benchmark Curated by Scientists”
kaggle.com/benchmarks/open-benchmarks/scicode-subproblem-sta… ↗
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 Subproblem 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.