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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-v1at revisiond23233a4bb237dcc3b1660e46a42f9189eaf0f6c(tokenizer)syssec-utd/pylingual-shared-backbone-corpus-v2at revision3dc69d6e21e5ffa3ce461caf7d7bb791bb2f603a(backbone-corpus)syssec-utd/pylingual-shared-adapter-corpus-v2at revision95f11e98728b0cf350a684e202af02e5398781f0(adapter-corpus)- Code: https://github.com/quinntyx/pylingual branch
feat-shared-backbone-lora, commit87226a491a9ee76670601a6b3e8a37e8187241c5
| 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 | {} |
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