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Model components / Benchmark / eval datasets

CodeContests

Google

Competitive-programming dataset built for the AlphaCode paper, holding 4,044 problems collected from Codeforces, CodeChef and other contest platforms, each with a description, correct and incorrect human solutions in several languages, and public, private and generated test cases.

An earlier version of this record stated 13,328 training problems; the dataset viewer shows 3,760 train and 4,044 total, and the record was corrected. Verified 2026-08-13 via the deepmind/code_contests dataset card on Hugging Face.

Openness

5 high confidence
5.0
license
CC-BY-4.0(open data license, attribution-only)
redistributability
full(downloadable, ungated)
datasheet
yes(comprehensive dataset card + arXiv:2203.07814)
size
~4k problems w/ rich test cases
sources
Codeforces/AtCoder/CodeChef/Aizu/HackerEarth + Description2Code(MIT)+CodeNet(Apache-2.0)

Fully open: CC-BY-4.0, ungated, downloadable, with a thorough datasheet documenting provenance. A clean open-data case.

Adoption

3 medium confidence
3.0

50,563 Hugging Face downloads in the trailing 30 days for deepmind/code_contests, which puts it in the 10K-100K band, level 3 on the dataset adoption scale. That scale tops out at >1M, an order of magnitude below the ones used for software and models, because no dataset in this corpus has ever passed 10M downloads. This is the AlphaCode competitive-programming dataset, a recurring reference for code-reasoning evaluations but less ubiquitous than HumanEval or GSM8K in current release reports.

Capability

not assessed

A dataset is not 'capable', so this axis is left unscored. CodeContests is hard and discriminates well on code reasoning, but that is a quality strength rather than a capability score.

Verified 2026-08-12