ML Training Datasets
Pre-collected and custom web datasets for training classification, NLP, image recognition, and other ML models. Structured, clean, and properly formatted for direct model ingestion.
Datasets for Model Training
Training effective ML models requires large, high-quality datasets that accurately represent target domains. WebRefer provides web-based training data at scales that would be impractical for individual teams to collect—from millions of labeled screenshots to comprehensive content corpora.
Dataset Categories
We provide website screenshot datasets for image classification and visual analysis. Structured HTML and DOM data for content extraction and parsing models. Text corpora with annotations for NLP and language models. Website classification datasets for category prediction. Technology detection training data for tech stack identification. Custom datasets collected to your specifications.
Data Quality
All datasets include thorough documentation with data dictionaries. Balance across categories for representative training. Validation splits following ML best practices. Multiple format options including JSON, CSV, and native ML formats. Quality metrics and accuracy documentation.
Custom Collection
Beyond pre-existing datasets, we collect custom training data matching your model requirements. Define target populations, required attributes, and volume needs—our collection infrastructure handles the rest. Combine with labeling services for complete training data pipelines.