| --- |
| 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 |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("<YOUR_ORG_OR_USER>/Genesis AI Code 100K (Frontier)", split="train") |
| print(ds[0]) |
| ``` |
|
|
