metadata
tags:
- code
- pretraining
- with-in-us-ai
AGA-Code Pretrain Corpus v1.0.0
Clean, deduplicated pretraining corpus for AGA-Code (Autonomous God Agents), built from six WithinUsAI coder datasets.
Sources
| Source | Raw | Unique | Notes |
|---|---|---|---|
| WithinUsAI/GOD_Coder_100k | 100,000 | 100,000 | file was gzip mislabeled as .jsonl; decompressed |
| WithinUsAI/Elite_GOD_Coder_100k | 100,000 | 100,000 | same gzip repair |
| WithinUsAI/Omega_Genesis_Coder_100k | 100,000 | 100,000 | same gzip repair |
| WithinUsAI/python_GOD_coder_100k | 100,000 | 99,498 | same gzip repair |
| WithinUsAI/GOD_Coder_Complete_DataSet | 175,000 | 173,860 | messages chat column rendered as role: content blocks |
| WithinUsAI/Royal_Ghost_Coder_501k | 490,000 | 422,124 | instruction+response; ~14% internal duplicates removed |
Build
- Tolerant JSONL parsing (bad lines counted, none found after gzip repair).
- Records under 64 chars dropped.
- SHA-256 dedup on normalized text: 1,065,000 raw → 995,482 unique (69,518 removed).
- Seed-1147 shuffle, then split: 993,482 train / 2,000 validation (held-out).
- Schema:
{"text": ..., "source": ...}— one JSON per line.
Files
train.jsonl(993,482 rows)validation.jsonl(2,000 rows, held-out)manifest.json(per-source counts, SHA-256 of each file, seed)
(c) 2026 WithIn Us AI — Guy DuGan II