---
license: other
pretty_name: PyLingual shared-backbone encoded training data
---
# syssec-utd/pylingual-shared-encoded-v2

Tokenized Arrow datasets for the shared-backbone + per-version LoRA PyLingual study, exactly as the
trainers load them (`datasets.load_from_disk("<path>/dataset")`; `<path>/manifest.json` records the
journal, tokenizer and registry hashes the trainers verify). Statement inputs and targets are
truncated at 256 tokens; segmentation uses 512-token windows with stride 128.

Built from:
- [`syssec-utd/pylingual-shared-tokenizer-v1`](https://huggingface.co/syssec-utd/pylingual-shared-tokenizer-v1) at revision `d23233a4bb237dcc3b1660e46a42f9189eaf0f6c` (tokenizer)
- [`syssec-utd/pylingual-shared-backbone-corpus-v2`](https://huggingface.co/datasets/syssec-utd/pylingual-shared-backbone-corpus-v2) at revision `3dc69d6e21e5ffa3ce461caf7d7bb791bb2f603a` (backbone-corpus)
- [`syssec-utd/pylingual-shared-adapter-corpus-v2`](https://huggingface.co/datasets/syssec-utd/pylingual-shared-adapter-corpus-v2) at revision `95f11e98728b0cf350a684e202af02e5398781f0` (adapter-corpus)
- Code: https://github.com/quinntyx/pylingual branch `feat-shared-backbone-lora`, commit `87226a491a9ee76670601a6b3e8a37e8187241c5`

| Path | Task | Scope | Split | Source files | Encoded rows | Opcode bindings |
|---|---|---|---|---:|---:|---|
| `adapter/3.14/statement/train` | statement | adapter | train | 100000 | 9378298 | `{}` |
| `adapter/3.14/statement/validation` | statement | adapter | validation | 1000 | 95474 | `{}` |
| `universal/statement` | statement | universal | train | 100000 | 9289674 | `{}` |