Use Case
Build benchmarks that are fair, fixed and reproducible
Create synthetic benchmarks that test specific capabilities — not whatever real-world data happened to be available when the benchmark was created.
The challenge
Real-world benchmarks inherit real-world biases
Benchmarks built from real-world data inherit the biases, gaps and distribution shifts of that data. They are difficult to update, impossible to reproduce exactly and often test the wrong things. Synthetic benchmarks can be designed to test specific capabilities, reproduced exactly and updated in a controlled way.
Designed, not collected
Design benchmarks that test the specific capabilities and failure modes you care about.
Reproducible across teams
Share the Blueprint and seed — any team can reproduce the exact benchmark dataset.
Versioned and comparable
Update benchmarks in a controlled way and compare model performance across benchmark versions.
How LiteSeed helps
Blueprint-defined benchmark structure
Define the exact structure, distributions and constraints of a benchmark dataset in a versioned Blueprint.
- Full schema control: field types, distributions, constraints
- Versioned Blueprints with parent-child lineage
- Blueprint hash stored with every benchmark version
Reproducible benchmark generation
Generate the same benchmark dataset on any machine, at any time, using the Blueprint and seed.
- Same Blueprint + same seed = identical benchmark
- Share Blueprint ID and seed as benchmark identifier
- One-click reproduction for any benchmark version
Controlled benchmark updates
Update a benchmark by creating a new Blueprint version — the change is tracked, the old version is preserved and the impact on model performance can be measured.
- New Blueprint version = new benchmark version
- Blueprint hash change detection
- Version comparison: distribution diff between benchmark versions
Multi-format benchmark export
Export benchmark datasets in the format required by your evaluation pipeline.
- CSV, JSONL, Parquet, SQLite, ZIP
- SQL dump for database-based evaluation pipelines
- Direct download from Run Results view