Off-the-shelf data for supervised fine-tuning
Generate precise, tailored training data for SFT with off-the-shelf (OTS) datasets to advance the capabilities of your latest frontier models.
Learn more about Super Stumpers: datasets we've built that no state-of-the-art (SOTA) AI model can currently solve. They represent the frontier of difficulty, designed to probe model limits and expose gaps in reasoning, robustness, and generalization.
Why Labelbox for OTS data
Accelerate AI development
OTS datasets boosts model performance, while our applied AI services and Evaluation Platform ensure sustained model performance and prevent model drift.
Deliver frontier-level performance
Rapidly streamline your model training with advanced dataset generation. Tap into Linguists, PHDs, and coders from diverse domains to curate datasets across every domain and use case.
Generate high quality datasets
Labelbox stands behind our ability to deliver high-quality data. If the data delivered doesn’t meet your quality standards, we are happy to redo any labels completely free of charge.
Maintain data privacy & security
Keep full ownership, transparency, and control over your data throughout the AI development process.
Unlock new AI capabilities with OTS data
Accelerate both foundational and task-specific models on new tasks and capabilities by leveraging OTS data, driving significant improvements in the priority areas your lab is targeting.
Current datasets available include Math (HLE – Multimodal), ToolUse (Tau-bench and Tau2-bench), and Math (Novel IMO-style questions with GTFA) and beyond.
Get in touch with one of our AI experts to learn more.
The foundation of frontier AI comes from high-quality data
Expand model capabilities
Accelerate both foundational and task-specific models on new tasks and capabilities by leveraging OTS data, driving significant improvements in the priority areas your lab is targeting.
Improve accuracy
Enhance the model's accuracy, relevance, and overall quality of outputs on the target task.
Mitigate biases
Reduce or eliminate biases present in the pre-trained model to align with your organization’s preferences.
Task-specific customization
Adapt a general-purpose pre-trained model to perform well on a specific task or domain.
The challenges of SFT
SFT comes with its own set of challenges. Acquiring sufficient, high-quality OTS data requires access to vetted, domain-specific experts. Additionally, ensuring consistency and accuracy across annotations is crucial and requires a platform with advanced metrics and real-time reporting.
Expanding AI capabilities with Labelbox
Labelbox addresses these challenges head-on, providing a comprehensive platform and expert services to streamline the SFT process. Accelerate model development with high-quality SFT off-the-shelf datasets curated by vetted subject matter experts to accelerate cutting-edge model development for advanced coding, STEM, agentic workflows, and beyond.