Datasetpublic

WithinUsAI/Genesis_AI_Code_50k

Genesis AI Code 50K (Expert) Developed by: Within Us AI Expert dataset with diff supervision, failure→reflection→correction, MoE labels, and governance flags. Splits train: 49,000 validation: 1,000 Highlights Tests-as-truth supervision patterns Diff-first patching Agentic loops (plan→edit→test→reflect) with bounded budgets Tool-call trace supervision (where present) Governance/audit & policy-gate awareness Storage format Parquet… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/Genesis_AI_Code_50k.

sourceHugging Facecc0-1.0updated 9mo agoView on Hugging Face

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Dataset Card

Genesis AI Code 50K (Expert)

Developed by: Within Us AI

Expert dataset with diff supervision, failure→reflection→correction, MoE labels, and governance flags.

Splits

—train: 49,000
—validation: 1,000

Highlights

—Tests-as-truth supervision patterns
—Diff-first patching
—Agentic loops (plan→edit→test→reflect) with bounded budgets
—Tool-call trace supervision (where present)
—Governance/audit & policy-gate awareness

Storage format

Parquet unavailable (No module named 'pyarrow'); JSONL shards in /data.

Quick start

python

from datasets import load_dataset
ds = load_dataset("<YOUR_ORG_OR_USER>/Genesis AI Code 50K (Expert)", split="train")
print(ds[0])