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README.md

@@ -36,6 +36,14 @@ The bundled assets (the vendored LID modules + the eval data the app trains on)
 - Alignment is **lookup, not translation**: it surfaces the nearest pre-aligned pair from a 334-sentence probe set, so most free-form inputs will have no close match. It never machine-translates.
 - Swiss-German has no standardized orthography; spelling varies widely by writer and region.
 
+## Companion artifacts
+
+Part of the **Mundart** project (dataset + eval + demo):
+
+- **Dataset:** [`mischeiwiller/swiss-german-text`](https://huggingface.co/datasets/mischeiwiller/swiss-german-text) — the open written-`gsw` corpus.
+- **Eval:** [`mischeiwiller/gsw-eval`](https://huggingface.co/datasets/mischeiwiller/gsw-eval) — the gsw-vs-de LID benchmark this demo's baseline is trained + scored on.
+- **Neighbour reference:** [`ZurichNLP/swissbert`](https://huggingface.co/ZurichNLP/swissbert) — a Swiss-German-aware multilingual encoder; a natural upgrade path for the LID head.
+
 ## License
 
 Code Apache-2.0; bundled eval data CC-BY-SA-4.0 (inherited from the source corpus — per-slice: Alemannic-Wikipedia CC-BY-SA-4.0, Tatoeba CC-BY-2.0-FR, Leipzig CC-BY-4.0). See the dataset cards for full provenance.