Datasets:
Hugging Face packaging
Account: dappalumbo91
GitHub: https://github.com/dappalumbo91/protofluid-language-translator
Version: 0.2.1 — full verification source on Hub + Kaggle (not metrics-only)
Live on Hub
| Resource | URL | Notes |
|---|---|---|
| Model (full source) | https://huggingface.co/dappalumbo91/pflt-fsot | ~395 files: Ada src/, all Python factory/M6 scripts, docs, formal, reports |
| Dataset (full source) | https://huggingface.co/datasets/dappalumbo91/pflt-fsot-sample | Same verification tree + metrics |
| Kaggle (full source) | https://www.kaggle.com/datasets/damianpalumbo/pflt-fsot-benchmarks | Full pack (pflt-Ada.zip + root .py + docs/formal zips) |
| GitHub (canonical) | https://github.com/dappalumbo91/protofluid-language-translator | Git history; tag v0.2.0 / main |
| Cross-verify guide | docs/VERIFICATION.md |
How peers reproduce claims |
| Release notes | docs/RELEASE_v0.2.0.md |
Benchmark snapshot |
What is intentionally not uploaded
Multi-GB densify/gold TSVs, neural weight caches, full Tatoeba/Kaikki dumps (third-party size/license). Rebuild paths are in-repo scripts.
Gradio Space note
Creating a hosted Gradio Space on free cpu-basic currently requires a Hugging Face PRO subscription (API returned HTTP 402).
The Space-ready files live in-repo under huggingface_pflt/ (app.py, requirements.txt, model card). Options:
- Subscribe PRO and create Space from
huggingface_pflt/ - Run Gradio locally:
cd huggingface_pflt && pip install -r requirements.txt && python app.py - Keep model+dataset public (already done) for discovery
Never commit API tokens. Use HF_TOKEN env from the desktop key file only for CLI upload.
Full product still local
- Ada binary + multi-GB densify/gold: not on HF
- Game drive Kaikki/Tatoeba: D: only
- Law master:
I:\FSOT-Physical-Archive\...\vendor\fsot_compute.pypin D1D38A