

Open Thoughts
Overview :
Open Thoughts is a project led by Bespoke Labs and the DataComp community, aimed at curating high-quality open-source reasoning datasets for training advanced small models. The project brings together researchers and engineers from various universities and research institutions, including Stanford University, the University of California, Berkeley, and the University of Washington, dedicated to promoting the development of reasoning models through high-quality datasets. The project is established in response to the growing demand for applications of reasoning models in fields such as mathematics and code reasoning, where high-quality datasets are critical for improving model performance. Currently free to access, the project primarily targets researchers, developers, and professionals interested in reasoning models, with its open-source datasets and tools serving as a significant resource for advancing AI education and research.
Target Users :
Researchers, developers, AI enthusiasts, and educators. This project provides researchers with a rich dataset and evaluation tools to better train and optimize reasoning models; developers can utilize these datasets to quickly build and test their own reasoning models; AI enthusiasts can keep up with the latest technological developments and model performances through the project; educators can leverage its resources for teaching and research, aiming to enhance students' reasoning abilities.
Use Cases
Researchers trained reasoning models that surpassed existing benchmarks using datasets from Open Thoughts
Developers utilized the project’s datasets and tools to develop new reasoning algorithms
Educational institutions use it as a teaching resource to help students understand the principles and applications of reasoning models
Features
Provide open-source reasoning datasets for training small models
Support benchmark testing for mathematical and code reasoning
Utilize the Evalchemy tool for model assessment
Collaborate with multiple research institutions and community efforts to integrate quality resources
Publish the latest model performance results for community reference
Share project progress and technological developments through a blog
How to Use
Visit the Open Thoughts website to understand the project's background and objectives
Browse through the datasets and model performance results to select the most suitable datasets
Download relevant datasets and the evaluation tool Evalchemy
Train your own reasoning models using the datasets and evaluate them using Evalchemy
Follow the project’s blog for the latest technological updates and information
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