Publish frozen BSCA Gold v3 multidomain model and dataset

README.md

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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`.