ThoughtSource⚡

Overview

An open resource for data and tools related to chain-of-thought reasoning in large language models. Maintained by the Samwald research group. Provides a collection of prompts, datasets, and evaluation methods for studying reasoning chains.

Best for

Best for
Researchers and developers studying or implementing chain-of-thought reasoning in LLMs

Use cases

• Building datasets for chain-of-thought prompting
• Evaluating model reasoning abilities
• Experimenting with multi-step reasoning workflows

Notes

An open resource for data and tools related to chain-of-thought reasoning in large language models. Maintained by the Samwald research group. Provides a collection of prompts, datasets, and evaluation methods for studying reasoning chains.

1,014 stars on GitHub. Last updated 2024-12-16. Licensed MIT.

Use cases

• Building datasets for chain-of-thought prompting
• Evaluating model reasoning abilities
• Experimenting with multi-step reasoning workflows

Pros

• Centralized repository of chain-of-thought resources
• Open-source and community-driven
• Supports reproducible research in reasoning

Cons

• Primarily Jupyter Notebook based, may require manual setup
• Limited to chain-of-thought reasoning, not a general orchestration tool
• Community size may limit support

Indexed from awesome-langchain and enriched against its public facts.