---
pretty_name: Genesis AI Code 10K
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 10K

**Developed by: Within Us AI**

Foundation dataset emphasizing tests-as-truth, agentic loops, and evaluation thinking.

## Splits
- train: 9,800
- validation: 200

## 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 10K", split="train")
print(ds[0])
```