feat: add sdg training data bridge

README.md

@@ -25,6 +25,7 @@ cargo run -- run calculate --payload '{"expression":"2 + 2 * 3"}'
 cargo run -- run to_slug --payload '{"text":"Hello, World!"}'
 cargo run -- run write_note --payload '{"filename":"hello.txt","content":"hello"}'
 scripts/precommit-check.sh
+python3 scripts/generate_training_data.py --dry-run
 ```
 
 `serve` starts:
@@ -112,3 +113,26 @@ Enable the hook after cloning:
 ```sh
 git config core.hooksPath .githooks
 ```
+
+## SDG Bridge
+
+`scripts/generate_training_data.py` generates instruction-format seed data from current dictionary artifacts.
+
+Dry run:
+
+```sh
+python3 scripts/generate_training_data.py --dry-run
+```
+
+Local dataset generation:
+
+```sh
+python3 scripts/generate_training_data.py \
+  --dictionary-dir dictionary/ \
+  --output-dir ../workspace_Data/data/ \
+  --manifest ../workspace_Data/manifest.llm.json
+```
+
+Optional Mimir/Data Designer expansion is enabled only when `--sdg-host`, `--sdg-user`, and `--sdg-key` are supplied. The bridge does not start or restart Mimir inference services.
+
+If remote expansion fails, the timestamped local seed dataset remains in place, `SDG_ERROR.txt` is written in that dataset directory, and the manifest entry is marked `generated_local_remote_failed`.