docs: link to ailiance-bench v0.2 scoreboard

README.md

@@ -184,3 +184,20 @@ Ailiance dataset family (co-published with `electron-rare/*`):
 - [Ailiance-fr/mascarade-spice-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-spice-dataset) — SPICE & analog simulation Q&A
 - [Ailiance-fr/mascarade-iot-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-iot-dataset) — IoT & connected devices Q&A
 - [Ailiance-fr/mascarade-embedded-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-embedded-dataset) — embedded systems generic Q&A
+
+## Used to train models evaluated in `ailiance/ailiance-bench` v0.2
+
+This dataset contributes to training data for hardware-domain LoRA
+adapters benchmarked in the [Ailiance bench suite](https://github.com/ailiance/ailiance-bench).
+
+Phase 6 scoreboard verdicts (7-task KiCad/SPICE evaluation):
+- 🥇 `eu-kiki`: champion 4/7 tasks (DSL/PCB/SPICE/extract)
+- 🥇 `mascarade-embedded`: champion P3 extraction (+48 pts)
+- ⚠️ `mascarade-kicad`: catastrophic forgetting on SPICE/P2/P3
+
+See full scoreboard:
+[ailiance-bench README#scoreboard-lora-phase-6](https://github.com/ailiance/ailiance-bench#scoreboard-lora-phase-6--2026-05-11).
+
+> **Note**: this corpus is GPL-3.0 (upstream KiCad library symbols).
+> Use of derived models trained exclusively on this dataset must comply
+> with GPL distribution requirements.