fchollet/ARC-AGI resource
The Abstraction and Reasoning Corpus observed · 2026-08-28
Health v2 · maintenance only
29/100
- Activity 14
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2494
- days_rel: n/a
- days_push: 516
- n_releases_24m: 0
Adoption not part of the score
4813 stars · 725 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The Abstraction and Reasoning Corpus (ARC-AGI-1), a benchmark dataset of 800 JSON grid-based tasks designed to test human-like fluid general intelligence and program synthesis ability. It includes a browser-based interface for humans to attempt tasks manually.
Use cases
- benchmark an AI system on abstract reasoning tasks
- evaluate program synthesis algorithms
- train models on ARC-relevant cognitive priors
- let humans try solving intelligence test puzzles in a browser
- compare human and AI general fluid intelligence
When to avoid
- you need large-scale training data for supervised learning
- you want a conventional NLP or vision benchmark
- you need production-ready ML tooling rather than raw task data
Facets
dataset · maturity stable
machine-learning data-science benchmarking artificial-intelligence machine-learning cross-platform browser benchmark program-synthesis psychometrics agi intelligence-testing json-tasks grid-puzzles algorithms
1 source
- readme: https://github.com/fchollet/ARC-AGI · fetched 2026-08-28 · 2ac5a657c6f2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| fchollet/ARC-AGI | main | 29 |
For agents
markdown · JSON · MCP: product_card(name="fchollet/ARC-AGI")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem