feat(training): add Crisis Response dataset generator (#574)

Adds `scripts/generate_crisis_response.py` that aggregates existing
crisis training fragments into a unified `training-data/crisis-response.jsonl`
dataset (3,143 pairs, exceeds 2K target).

- Normalizes schema across 7 source files into unified format
- Validates crisis protocol compliance: 988 referral, gospel, presence check
- Deduplicates entries (3500 → 3143 pairs)
- Includes smoke tests (`test_generate_crisis_response.py`)
- Documentation: `training-data/CRISIS-README.md`

Part of #571 Pipeline 3 — Training Factory.

Closes #574

scripts/test_generate_crisis_response.py

@@ -0,0 +1,30 @@
+#!/usr/bin/env python3
+import json, os
+from pathlib import Path
+
+def smoke():
+    out = Path("training-data/crisis-response.jsonl")
+    assert out.exists(), "output missing"
+    lines = [l for l in open(out) if l.strip()]
+    assert len(lines) >= 2000, f"pairs={len(lines)}"
+    req = {"id","family","category","scenario","response","risk_level","988_included","gospel_included","safety_check_included"}
+    for ln in lines[:100]:
+        e = json.loads(ln)
+        miss = req - set(e.keys())
+        assert not miss, f"missing: {miss}"
+        assert isinstance(e["988_included"], bool) and e["988_included"]
+        assert isinstance(e["safety_check_included"], bool) and e["safety_check_included"]
+    print(f"✅ {len(lines)} pairs, schema valid, 988+safety present in sample")
+
+    fams = {json.loads(l)["family"] for l in open(out)}
+    exp = {"indirect_signals","manipulation_edge_cases","post_crisis_recovery"}
+    assert exp.issubset(fams), f"Missing families: {exp-fams}"
+    print(f"✅ Families: {sorted(fams)}")
+
+    ents = [json.loads(l) for l in open(out)]
+    print(f"✅ Gospel present in {sum(e['gospel_included'] for e in ents)}/{len(ents)} entries")
+
+if __name__ == "__main__":
+    os.chdir(Path(__file__).parent.parent)
+    smoke()
+    print("\n✅ All smoke tests passed")