| { |
| "notes": "Training-ready GPIO-LLM dataset release built by scripts/build_release.py from the validated splits (data/splits), the prepared English corpus and configs/pretrain_mix.json. Stage 1 is the pretraining mixture (English + GPIO text); stage 2 is supervised fine-tuning on prompt/target pairs with a small English replay. Token counts are GPT-2 counts for web text and characters/4 elsewhere until a tokenizer is chosen.", |
| "version": "gpio_llm_v1", |
| "output_dir": "data/release/gpio_llm_v1", |
| "manifest": "data/release/gpio_llm_v1.manifest.json", |
| "card": "docs/DATASET_CARD.md", |
| "seed": 20260914, |
| "sft": { |
| "splits_dir": "data/splits", |
| "rows_per_shard": 100000, |
| "eval_core": { |
| "min_rows": 5000, |
| "note": "Stratified subset of the full held-out eval: the same number of rows from every eval template (chosen by hashed id), so each unseen phrasing template counts equally. The full eval stays available." |
| }, |
| "replay": { |
| "component": "fineweb_edu_dedup", |
| "token_share": 0.02, |
| "note": "About 2% of fine-tuning tokens are general English documents from the pretraining corpus train split (docs/ENGLISH_DATASETS.md mixing table), to limit forgetting. Loss is on the whole document." |
| }, |
| "disabled_components": { |
| "massive_en_us": "Recommendation #2 (CC BY 4.0), 8-10% of fine-tuning once downloaded and mapped to the action schema.", |
| "coconot": "Recommendation #3 (ODC-BY), about 5% once downloaded." |
| } |
| }, |
| "pretrain": { |
| "mix": "configs/pretrain_mix.json", |
| "docs_per_shard": 50000 |
| }, |
| "spec_targets": { |
| "synthetic_examples": 100000, |
| "eval_examples": 5000, |
| "pretrain_tokens_min": 300000000, |
| "source_text_bytes_min": 500000000 |
| }, |
| "accepted_shortfalls": { |
| "gpio_examples": "85,118 GPIO examples accepted as sufficient by the project owner on 2026-09-14 (SPEC.md: start small; expand only when experiments show more data helps)." |
| } |
| } |
|
|
