| # Cross-verification guide — PFLT / FSOT |
|
|
| This document tells **independent reviewers** how to obtain the **actual program**, reproduce catalog metrics, and score sentence benchmarks. |
| It is intentionally separate from marketing-style cards. |
|
|
| **Version:** 0.2.1 |
| **Law:** \(S = K(T_1+T_2+T_3)\) authority pin **D1D38A** |
| **Git tag:** `v0.2.0` / `main` (see release notes for snapshot scores) |
| |
| --- |
| |
| ## 1. Where the *code* lives (not just metrics) |
| |
| | Location | What you get | |
| |----------|----------------| |
| | **GitHub (canonical)** | Full program: Python data factory + Ada/SPARK product sources + docs + eval scripts | |
| | **Hugging Face model `dappalumbo91/pflt-fsot`** | Same verification tree (source + docs + reports + sample data) + Gradio demo | |
| | **Hugging Face dataset `dappalumbo91/pflt-fsot-sample`** | Metrics + sample densify + reports (lighter mirror) | |
| | **Kaggle `damianpalumbo/pflt-fsot-benchmarks`** | Full verification source pack + benchmark JSON/CSV | |
| |
| **Not redistributed** (too large / third-party): multi-GB densify/gold packs, full Tatoeba extract, Kaikki dumps, neural weight caches. Scripts document how to rebuild or download those locally. |
| |
| Canonical code URL: |
| |
| ```text |
| https://github.com/dappalumbo91/protofluid-language-translator |
| ``` |
| |
| Clone: |
| |
| ```bash |
| git clone https://github.com/dappalumbo91/protofluid-language-translator.git |
| cd protofluid-language-translator |
| git checkout v0.2.0 # or latest main |
| ``` |
| |
| From Hugging Face (full tree upload): |
| |
| ```bash |
| # requires: pip install huggingface_hub |
| huggingface-cli download dappalumbo91/pflt-fsot --local-dir ./pflt-fsot --repo-type model |
| ``` |
| |
| From Kaggle: |
| |
| ```bash |
| kaggle datasets download -d damianpalumbo/pflt-fsot-benchmarks -p ./pflt-kaggle --unzip |
| ``` |
| |
| --- |
| |
| ## 2. Repository layout (what matters for verification) |
| |
| ```text |
| protofluid-language-translator/ |
| README.md |
| docs/ # competitive position, law audit, release, THIS file |
| PFLT_FSOT_2_1_aligned.py # Python law-aligned surface |
| fsot_law_bridge.py # pin D1D38A bridge |
| dual_track_eval.py # open vs product tracks |
| huggingface_pflt/ # Hub card + Gradio demo |
| pflt-Ada/ # **shipping product (Ada/SPARK)** |
| src/*.ads *.adb # full Ada sources |
| *.py # densify / M6 / solidify / WMT eval factory |
| reports/ # measured JSON + markdown |
| data/ # small samples + archive pin artifacts (not multi-GB packs) |
| release/metrics_snapshot.json |
| kaggle_pflt/ # Kaggle packaging mirror |
| ``` |
| |
| --- |
| |
| ## 3. Reproduce without multi-GB packs (smoke) |
| |
| ```bash |
| python -c "import ast; ast.parse(open('PFLT_FSOT_2_1_aligned.py',encoding='utf-8').read()); print('python parse ok')" |
| # Ada (if GNAT/Alire installed): |
| cd pflt-Ada && alr build |
| ``` |
| |
| Law pin artifact (archive SHA culture): |
| |
| ```text |
| pflt-Ada/data/archive_linguistics/fsot_compute_AUTHORITY_PIN.json |
| pflt-Ada/data/archive_linguistics/live_pin.json |
| ``` |
| |
| --- |
| |
| ## 4. Reproduce form→gloss catalog claims |
| |
| Requires local densify/gold rebuilt via scripts (or your own packs). Then: |
| |
| ```powershell |
| cd pflt-Ada |
| python report_translation_coverage.py |
| python solidify_covered_95.py # optional solidify pass |
| # Ada product eval if built: |
| .\bin\pflt_main.exe eval-product |
| ``` |
| |
| Published snapshot: ~**113** langs, ~**99.99%** open/product form→gloss (see `reports/gap_fill_verify.json`, `metrics_snapshot.json`). |
| |
| --- |
| |
| ## 5. Reproduce sentence benchmarks (HF-aligned protocol) |
| |
| ### 5a WMT14 German→English (public, no Tatoeba dump) |
| |
| ```powershell |
| cd pflt-Ada |
| # Requires: pip install transformers datasets sacrebleu torch |
| # Local model: Helsinki-NLP/opus-mt-de-en and/or facebook/nllb-200-distilled-600M |
| python -u eval_wmt14_deen.py |
| # Full dual-track SOTA script: |
| python -u m6_sota_push.py |
| ``` |
| |
| **Published v0.2.0 (self-reported):** |
| |
| | System | sacreBLEU | |
| |--------|----------:| |
| | opus-mt-de-en beams=5 | **33.88** | |
| | NLLB-600M beams=5 | **33.37** | |
| |
| ### 5b Chat / multi-lang neural |
| |
| `m6_sota_push.py` scores Tatoeba-style samples when local pair cache exists. Without cache, still verify script + report JSON: |
| |
| ```text |
| pflt-Ada/reports/m6_sota_push_report.json |
| pflt-Ada/reports/M6_SOTA_PUSH.md |
| release/metrics_snapshot.json |
| ``` |
| |
| **Published mean best chat sacreBLEU:** **50.19** (16 langs, ≤200/lang, best of opus/mul/NLLB). |
| |
| --- |
| |
| ## 6. What we do *not* claim |
| |
| - Commercial DeepL / Google **news** SOTA |
| - FLORES scores (Hub parquet may still be gated) |
| - That product densify BLEU with residual TM templates is open-set generalization |
| |
| Honest framing: `docs/COMPETITIVE_POSITION.md`. |
| |
| --- |
| |
| ## 7. Minimal file set for peer review checklist |
| |
| - [ ] Ada sources under `pflt-Ada/src/` present and buildable or reviewable |
| - [ ] Python eval scripts: `m6_sota_push.py`, `eval_wmt14_deen.py`, solidify/coverage |
| - [ ] Reports JSON match model-card tables |
| - [ ] Law pin / constants not silently refit to BLEU |
| - [ ] Large third-party corpora not required to *read* the code |
| |
| --- |
| |
| ## 8. Contact / issues |
| |
| Open issues on GitHub: |
| https://github.com/dappalumbo91/protofluid-language-translator/issues |
| |
