This repository serves as a collaborative effort to compile a comprehensive collection of reasoning tasks for Large Language Models (LLMs). It aims to provide a diverse set of challenges to enhance LLM reasoning capabilities, targeting researchers and developers working on LLM training and evaluation.

How It Works

The project curates a master list of reasoning tasks, accessible via a Markdown file and a web-based directory. Contributors are encouraged to submit new tasks, provide examples, and optionally include diagrams or workflows to illustrate task functionality. The focus is on creating a structured and diverse dataset for improving LLM reasoning.

Quick Start & Requirements

• Access the master tasks list: tasks.md
• Explore the web-based directory: https://nousresearch.github.io/Open-Reasoning-Tasks/

Highlighted Details

• Comprehensive collection of reasoning tasks for LLMs.
• Open collaboration model for contributions.
• Web-based directory for easy browsing and access.

Maintenance & Community

• Contributions are welcomed from the community. See the Contribution Guide.

Licensing & Compatibility

• Licensed under Apache 2.0. This license is permissive and generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The repository is a collection of tasks and does not include pre-trained models or direct code for task execution. Users will need to implement or adapt these tasks within their own LLM training frameworks.