Upload 4 files
Browse files- CHANGELOG.md +4 -0
- CITATION.cff +9 -0
- README.md +49 -0
- WHITEPAPER_POINTER.md +3 -0
CHANGELOG.md
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# Changelog
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## v1.0.0 (2026-01-01)
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- Initial public release (Within Us AI)
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CITATION.cff
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cff-version: 1.2.0
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title: "Genesis AI Code 100K (Frontier)"
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message: "If you use this dataset, please cite it."
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type: dataset
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authors:
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- name: "Within Us AI"
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version: 1.0.0
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date-released: 2026-01-01
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license: CC0-1.0
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README.md
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---
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pretty_name: Genesis AI Code 100K (Frontier)
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tags:
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- within-us-ai
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- genesis
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- code
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- agentic
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- reasoning
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- tool-calling
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- evaluation
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- security
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- governance
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- moe
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task_categories:
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- text-generation
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- question-answering
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language:
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- en
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license: cc0-1.0
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size_categories:
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- 100K<n<1M
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---
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# Genesis AI Code 100K (Frontier)
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**Developed by: Within Us AI**
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Frontier dataset with tool-call traces, self-grading, budgets, and audit orientation.
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## Splits
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- train: 98,000
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- validation: 2,000
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## Highlights
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- Tests-as-truth supervision patterns
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- Diff-first patching
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- Agentic loops (plan→edit→test→reflect) with bounded budgets
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- Tool-call trace supervision (where present)
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- Governance/audit & policy-gate awareness
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## Storage format
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Parquet unavailable (No module named 'pyarrow'); JSONL shards in `/data`.
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## Quick start
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```python
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from datasets import load_dataset
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ds = load_dataset("<YOUR_ORG_OR_USER>/Genesis AI Code 100K (Frontier)", split="train")
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print(ds[0])
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```
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WHITEPAPER_POINTER.md
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Within Us AI
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Genesis Whitepaper is provided in the demo pack as `GENESIS_WHITEPAPER.md`.
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