Update README.md

README.md

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   - split: test
     path: data/test-*
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+
+
+**SwissNER-Spoken** is a curated collection of 173 short, spoken-style German sentences
+    designed to evaluate Named-Entity Recognition (NER) and Automatic Speech Recognition (ASR)
+    systems on Swiss-specific proper nouns.
+
+Key features
+------------
+• **Focus on Switzerland** – Every sentence contains up to three named entities that appear
+in everyday Swiss contexts: cities, villages, cantons, companies, mountains, lakes,
+rivers, landmarks, organizations, events and well-known personalities.
+
+• **Balanced regional coverage** – All 26 Swiss cantons are represented, with entities
+drawn from German-, French-, Italian- and Romansh-speaking areas.
+
+• **Multilingual entity labels** – For each entity, the dataset records the language of the
+_name_ (``de``, ``fr``, ``it``, ``rm`` or ``en``) so models can test language-aware
+recognition.
+
+• **Compact schema** – Four CSV columns:
+    1. ``text`` – the sentence in German.
+    2. ``named_entities`` – comma-separated list of the entities in the sentence.
+    3. ``entity_types`` – aligned list of coarse entity classes (e.g. *City*, *Company*,
+    *Mountain*).
+    4. ``entity_languages`` – aligned list of language tags for each entity name.
+
+• **ASR-oriented style** – Sentences are intentionally short, natural, and pronunciation-
+friendly, making the corpus ideal for measuring how well speech or text models handle
+Swiss proper nouns in real-world utterances.
+
+Typical row
+-----------
+"Nestlé hat seinen Sitz in Vevey im Kanton Waadt.",
+"Nestlé, Vevey, Waadt",
+"Company, City, Canton",
+"fr, fr, de"
+
+Use cases
+---------
+* Benchmarking NER models on Swiss entities
+* Stress-testing ASR/voice pipelines for pronunciation and transcription accuracy
+* Data augmentation or few-shot prompts for multilingual Swiss NLP tasks
+* Educational demos for Swiss geography, culture and corporate landscape
+
+License
+-------
+CC-BY-4.0 – attribution required; no additional restrictions.