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syssec-utd/pylingual-shared-encoded-v3
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-v3at revision6b71d099fcbfeabbe159dd011e907ae52ab6e4ed(backbone-corpus)syssec-utd/pylingual-shared-adapter-corpus-v3at revision034cd79e776e9fe04c7f545b33ad30c5783430a2(adapter-corpus)- Code: https://github.com/quinntyx/pylingual branch
feat-shared-backbone-lora, commitdda4bd2dca0c7acf445cd611d5fa5e655c3ce572
| Path | Task | Scope | Split | Source files | Encoded rows | Opcode bindings |
|---|---|---|---|---|---|---|
adapter/3.15/statement/train |
statement | adapter | train | 150000 | 14047032 | {} |
adapter/3.15/statement/validation |
statement | adapter | validation | 1000 | 95151 | {} |
universal/segmentation |
segmentation | universal | train | 150000 | 4660343 | {} |
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