metadata
pretty_name: Genesis AI Code 100K (Frontier)
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:
- 100K<n<1M
Genesis AI Code 100K (Frontier)
Developed by: Within Us AI
Frontier dataset with tool-call traces, self-grading, budgets, and audit orientation.
Splits
- train: 98,000
- validation: 2,000
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 100K (Frontier)", split="train")
print(ds[0])