Genesis AI Code (DataSets)
Collection
Frontier-grade datasets for agentic, reasoning-driven AI software engineering.
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Community Results & Feedback
Genesis AI Code is designed for real-world training.
We strongly encourage developers and researchers to share empirical results
when using this dataset.
If you train, fine-tune, or evaluate a model with this dataset, please consider reporting:
What to Share
- Base model used
- Training method (SFT, LoRA, QLoRA, full finetune, agent training, etc.)
- Which split(s) were used:
- Instruct
- Thinking
- Reasoning
- Evaluation method (benchmarks, internal tests, SWE-bench, CI pass rate, etc.)
- Observed improvements or regressions
- Notable behaviors (planning quality, verification discipline, safety improvements)
Where to Share
- Open an Issue or Discussion in this dataset repository
- Link to:
- training logs
- benchmark tables
- evaluation scripts
- demo videos or repos (if public)
Why This Matters
Genesis is built to evolve based on real usage, not assumptions. Community-reported results directly influence:
- future Genesis updates
- new training signals
- improved reasoning and safety patterns
Even partial results or informal observations are valuable.
Minimal Report Template
Model:
Training method:
Dataset split(s):
Compute budget:
Evaluation method:
Observed changes:
Notes / caveats:
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