NalandadataVerified reasoning data

Solutions

Built for every stage of the AI training pipeline.

Whether you are pretraining a foundation model, fine-tuning for a domain, building evaluation benchmarks or aligning to human preference — Nalandadata has a dataset designed for your use case.

01 · Pretraining

Pretraining data

Large-scale academic corpora that strengthen foundational model capabilities with structured, curriculum-grade knowledge.

  • 2B+ structured academic samples
  • Multi-domain coverage — STEM, humanities, languages
  • Clean, deduplicated and quality-filtered
  • Format-ready for major training frameworks
  • Continuously updated with new content
Request pretraining data →
02 · SFT

Supervised fine-tuning (SFT)

Expert-annotated instruction–response pairs for aligning models to follow complex academic instructions.

  • 500K+ instruction–response pairs
  • Multi-turn conversation data
  • Step-by-step reasoning chains
  • Task-specific datasets available
  • Quality-scored by domain experts
Request SFT data →
03 · RLHF / DPO

RLHF & DPO datasets

Human-preference data and ranked responses for training models toward safer, more helpful outputs.

  • 100K+ preference pairs
  • Expert-ranked response comparisons
  • Safety and helpfulness annotations
  • Diverse academic scenarios
  • Continuous human-feedback collection
Request preference data →
04 · Evaluation

Evaluation benchmarks

Comprehensive evaluation datasets for measuring model performance across academic reasoning tasks.

  • 50K+ evaluation questions
  • Difficulty-stratified test sets
  • Multi-subject coverage
  • Human expert baseline scores
  • Detailed performance metrics
Request benchmarks →

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Ready to bring structured knowledge to your AI?

Tell us about your pipeline and we’ll identify the right datasets and get you a sample.