This repository contains the ARC-AGI task data, as well as a browser-based interface for humans to try their hand at solving the tasks manually.

ARC-AGI consists of unique training and evaluation tasks. Each task contains input-output examples. The puzzle-like inputs and outputs present a grid where each ...

The ARC-AGI benchmark is a significant measure in the field of artificial intelligence, focusing on an AI's general reasoning capabilities.

Download the ARC-AGI-1 data from the official ARC-AGI repo on GitHub. Please note that there will be future versions of the ARC-AGI dataset as it matures.

The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) benchmark measures an AI system's ability to efficiently learn new skills.

Multiple datasets for ARC (Abstraction and Reasoning Corpus). Each dataset have its own license, see the readme/license for details.

20 сент. 2024 г. · ARC-AGI stands for the Abstraction and Reasoning Corpus for Artificial General Intelligence benchmark. It was introduced in François ...

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The dataset consists of 1000 image-based reasoning tasks. Each task provides an input image and asks for an output image. The goal is to solve these tasks using ...

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