Datasets:
Assets on hand for sentence-fluency push
Updated: 2026-07-21
Law: (S=K(T_1+T_2+T_3)) pin D1D38A — teachers densify only.
Downloaded (game drive D:)
Root: D:\training data\pflt_linguistics\13_huggingface\models\
| Model | Size (approx) | Role |
|---|---|---|
facebook/nllb-200-distilled-600M |
~2.5 GB | Broad multilingual teacher + SPM for CJK |
Helsinki-NLP/opus-mt-es-en |
~0.6 GB | ES→EN teacher |
Helsinki-NLP/opus-mt-de-en |
~1.1 GB | DE→EN |
Helsinki-NLP/opus-mt-fr-en |
~1.2 GB | FR→EN |
Helsinki-NLP/opus-mt-ru-en |
~1.2 GB | RU→EN |
Helsinki-NLP/opus-mt-zh-en |
~1.2 GB | ZH→EN |
Helsinki-NLP/opus-mt-ja-en |
~0.6 GB | JA→EN |
Helsinki-NLP/opus-mt-ar-en |
~1.2 GB | AR→EN |
Helsinki-NLP/opus-mt-mul-en |
~0.6 GB | Multi→EN fallback |
Also: OPUS Books + WMT14 via HF datasets cache under 13_huggingface\.
Tatoeba parallel: D:\...\03_parallel_corpora\tatoeba\.
Archive linguistics priors: pflt-Ada/data/archive_linguistics\.
Still blocked (you must act once)
| Asset | Status | Action |
|---|---|---|
FLORES-200 (facebook/flores) |
Gated 403 | Log in as dappalumbo91 → https://huggingface.co/datasets/facebook/flores → Accept |
Pipeline commands
# Teacher densify (uses local models on D:)
cd pflt-Ada
python m6_teacher_densify.py
# Archive Zipf + dependency priors
python fsot_archive_fluency_push.py
# FSOT surface gap solve
python fsot_solve_fluency_gap.py
Latest fluency (product densify path)
| Stage | BLEU-4 | BLEU-1 | U-F1 | chrF |
|---|---|---|---|---|
| Pre-FSOT gap | ~2.2 | ~46 | ~35 | ~25 |
| FSOT gap solve | ~6 | ~69 | ~53 | ~40 |
| Archive Zipf+dep | ~27 | ~89 | ~81 | ~65 |
| + teacher (mixed) | ~19–27 | ~87–89 | ~78–81 | ~61–65 |
Law panel S remains 0.651324761885 throughout.
Not on GitHub
Model weights and multi-GB densify packs stay on D: / local only.