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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: