Codesota · Computer Vision · Few-Shot Image Classification · ARC-AGI 2Tasks/Computer Vision/Few-Shot Image Classification
Few-Shot Image Classification · benchmark dataset · EN

ARC-AGI 2.

ARC-AGI 2 is a dataset for general tasks, specifically compositional reasoning tasks that require the simultaneous application of rules or multiple interacting rules. It includes a semi-private set for testing remotely-hosted commercial models and a fully-private set for testing self-contained models during the ARC Prize competition. The dataset contains 1000 tasks for training and 120 tasks for evaluation, combining tasks from ARC-AGI-1 and new tasks.

Submit a result
§ 01 · Leaderboard

Best published scores.

No results indexed yet — be the first to submit a score.

No benchmark results indexed yet
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies