grounding: misgrounding corpus v1 builder (workstream B2) - 6,283 rows
Unifies four provenance classes without label promotion: expert_annotated (RegLab legal_rag_hallucinations, CC-BY: 176 grounded / 14 misgrounded / 18 ungrounded full responses), court_described (Charlotin AI Hallucination Cases: 2,964 fabricated, 1,426 misrepresented, 875 false quotes, 34 outdated - text flagged as court/ curator PARAPHRASE, never model text), checker_derived (our receipts: 494 grounded / 63 misgrounded claims WITH exact spans), and benchmark_adversarial (100 CSLB false-premise rows). Breadth achieved: 42 jurisdictions (USA/Canada/Australia/UK+), 9 source classes (case law, legislation, doctrinal work...), 91 model families, 29 areas of law. Rows live outside git under OpenLegalData (misgrounding-corpus/corpus-v1.jsonl, sha256 a86680...23ba); the repo keeps the builder and aggregates. This corpus gates lint thresholds (C2) and supplies the Stage 8 adversarial probes (the contract should be unable to express the misrepresented items). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012AgUm5EcRKbT3duVFMbrQD
| Repository | eliziff/Beaver |
|---|---|
| Author | Eli Ziff <eliasziff@gmail.com> |
| Authored | |
| Parents | 140f0bd2 |
| Stats | 1 file changed , +241 |
| Part of | Legal grounding and retrieval research |
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