Fully open data curation for reasoning models
Curating the best open reasoning datasets
A collaboration led by Bespoke Labs and the DataComp community
Our first goal is to curate a reasoning dataset to train state-of-the-art small reasoning models that surpass DeepSeek-R1-Distill-Qwen-32B and DeepSeek-R1-Distill-Qwen-7B on math and code reasoning benchmarks.
A centralized framework for agricultural machine learning.
Platform to design molecules, plan synthesis routes, and optimize chemical processes.
First rigorous benchmark for advancing multimodal dataset creation.
Cyberinfrastructure services for automated data labeling, image segmentation, model serving, and edge deployment, usable across any field.
An interpretable neural network that helps scientists discover mathematical and physical laws
Data synthesis pipeline generating high-quality alignment data for LLMs
MutateEverything predicts the effect of all single and double protein mutations in one forward pass. It is even versatile enough to predict higher-order mutations with minimal computational overhead.