genesis-ai
yao-genesis-audioGenesis_AI_Code_50k
Genesis AI Code 50K (Expert)
Developed by: Within Us AI
Expert dataset with diff supervision, failure→reflection→correction, MoE labels, and governance flags.
Splits
train: 49,000
validation: 1,000
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… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/Genesis_AI_Code_50k.Genesis_AI_Code_10k
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… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/Genesis_AI_Code_10k.Genesis_AI_Code_100k
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… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/Genesis_AI_Code_100k.Genesis_AI_Code_100k
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… See the full description on the dataset page: https://huggingface.co/datasets/gravermistakes/Genesis_AI_Code_100k.tinyvm-tier1
Tiny-VM Tier 1 — Register Traces
Synthetic dataset of straight-line Tiny-VM programs with full execution traces and pre-rendered training prompts. Tier 1 of the FANC "Latent State as Computer" experimental curriculum, focused on register-file tracking under bounded program length.
200,000 train programs
140,000 stratified eval programs (7 buckets × 20,000, one per program length n ∈ {8, 16, 32, 48, 64, 96, 128})
Generator: tinyvm.generators.gen_register_trace (LOAD / ADD / SUB /… See the full description on the dataset page: https://huggingface.co/datasets/Genesis-AI-Labs/tinyvm-tier1.