README.md

metadata

pretty_name: Genesis AI Code 50K (Expert)
tags:
  - within-us-ai
  - genesis
  - code
  - agentic
  - reasoning
  - tool-calling
  - evaluation
  - security
  - governance
  - moe
task_categories:
  - text-generation
  - question-answering
language:
  - en
license: cc0-1.0
size_categories:
  - 10K<n<100K

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

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