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Publish frozen BSCA Gold v3 multidomain model and dataset
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---
license: other
task_categories:
- feature-extraction
- text-matching
language:
- code
tags:
- binary-analysis
- decompilation
- ghidra
- contrastive-learning
- cross-architecture
- windows-pe
pretty_name: BSCA Gold v3 Multidomain
---
# BSCA Gold v3 Multidomain
Address-grounded P1 pairs for stripped pseudo-C → source retrieval.
- Dataset ID: `GD_19330e06aae0462447c1fd05ccaa38d7`
- Accepted P1 pairs: 42449
- Repositories: 138
- Target formats: `{"elf": 40733, "pe": 1716}`
- Target architectures: `{"aarch64": 1672, "x86": 1903, "x86_64": 38874}`
- Internal quality GPA: 3.660; target pass: `True`
Use `train.jsonl` for fitting, `development.jsonl` for model selection, and
the immutable `test.jsonl` only after selection. `dataset_card.json`,
`producer_verification.json`, and `quality_audit.json` are integrity and
scope artifacts, not optional documentation.
Scope: ELF/Linux and PE x86_64 Windows-GNU direct-translation-unit views.
It does not represent Mach-O, MSVC/PDB ABI, raw firmware images, project-build
coverage, or an external blind SCA promotion result.
Repository: `Labradorlabs/bsca-binary-source-gold-v3-multidomain`.