The best SFT datasets capture senior engineer decision-making.
Hand-written demonstrations from engineers who ace the task themselves. Long-tail coverage, format-native, every example traceable to its author and rubric.
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Demonstrations with intent
Authors see the task, the rubric, and the common failure modes before they write a single token. Every demo is paired with a rationale and survives into your training set as auxiliary signal.
Peer reviewed in pairs, calibrated against a rolling gold set, exported only after both reviewers sign off.
Drops into your pipeline
Pick a format, pick a cadence, get on with it. Schema-validated exports, idempotent batch IDs, streaming delivery to your bucket or HF Hub.
ChatML, JSONL, OAI-tool, Anthropic XML
Streaming to S3, GCS, or HF Hub
Blendable with your existing synthetic pool
Long-horizon coding tasks train stronger models
Frontier coding models need more than isolated prompts. G2i builds realistic, multi-step engineering tasks inside clean codebases, with validation logic and benchmarks that measure real software work.
- Production-style codebases
- Configurable validation logic
- Benchmarks that evolve with your model
Build stronger SFT datasets
Train on real engineering judgment