ARC-AGI
Datasets
All datasets matching “ARC-AGI”arc_agi_v2_public_evalarc-agi3-codex-gpt5.5-su15
ARC-AGI-3 su15 — Agent Trajectories (codex-gpt5.5)
Gameplay trajectories from the harness×model pair codex-gpt5.5 playing the
ARC-AGI-3 game su15, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same game… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-codex-gpt5.5-su15.arc-agi3-kimi-k2.7-su15
ARC-AGI-3 su15 — Agent Trajectories (kimi-k2.7)
Gameplay trajectories from the harness×model pair kimi-k2.7 playing the
ARC-AGI-3 game su15, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same game played by… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-kimi-k2.7-su15.arc-agi3-codex-gpt5.5-s5i5
ARC-AGI-3 s5i5 — Agent Trajectories (codex-gpt5.5)
Gameplay trajectories from the harness×model pair codex-gpt5.5 playing the
ARC-AGI-3 game s5i5, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same game… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-codex-gpt5.5-s5i5.Nemotron-SFT-ARC-AGI-v1
Dataset Description:
Nemotron-SFT-ARC-AGI-v1 is a supervised fine-tuning (SFT) dataset of multi-turn agentic reasoning traces produced by open-weight large language models attempting to solve ARC-AGI visual-reasoning puzzles. Each ARC puzzle (a set of (input grid, output grid) demonstration pairs plus one or more test inputs, where grids are 2D integer arrays representing colors) is formatted as a text prompt and given to an agent powered by one of nine open-weight reasoning… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1.arc-agi