Datasets:
| 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]) | |
| ``` | |