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syssec-utd/pylingual-shared-encoded-v1
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-tokenizer-corpus-v1at revision2dd36151733c372cc7409a77af7066b172ad6e76(backbone-corpus)syssec-utd/pylingual-shared-adapter-corpus-v1at revision920443b5a0c41cf9290cc97f432194ed6c409393(adapter-corpus)- Code: https://github.com/quinntyx/pylingual branch
feat-shared-backbone-lora, commit4f8315e1118f174032aeb6000ac77c3a235d9984
| Path | Task | Scope | Split | Source files | Encoded rows | Opcode bindings |
|---|---|---|---|---|---|---|
adapter/3.14/statement/train |
statement | adapter | train | 54500 | 5092229 | {} |
adapter/3.14/statement/validation |
statement | adapter | validation | 500 | 43727 | {} |
adapter/3.15/statement/train |
statement | adapter | train | 54500 | 5043002 | {} |
adapter/3.15/statement/validation |
statement | adapter | validation | 500 | 47199 | {} |
universal/segmentation |
segmentation | universal | train | 50000 | 1540697 | {} |
universal/statement |
statement | universal | train | 50000 | 4663180 | {} |
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