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| title: README | |
| emoji: 💻 | |
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| # 🥨 Bavarian NLP | |
| This HF org show-cases and releases datasets and models to foster research on the Bavarian language. | |
| Let's collaborate and work on building great resources together! | |
| # 🔎 Datasets | |
| The following datasets are available: | |
| * [Gemini-powered Bavarian NER Dataset](https://huggingface.co/datasets/bavarian-nlp/gemini-bavarian-ner-v0.1) | |
| * [GLiNER Dataset for Bavarian](https://huggingface.co/datasets/bavarian-nlp/gliner-bavarian-v0.1) | |
| * [Gemini-powered Bavarian Tagesschau Dataset](https://huggingface.co/datasets/bavarian-nlp/gemini-bavarian-tagesschau-v0.1) | |
| * [Gemini-powered Bavarian Bible](https://huggingface.co/datasets/bavarian-nlp/gemini-bavarian-bible) | |
| * [Collection of Bavarian Books](https://huggingface.co/datasets/bavarian-nlp/bavarian-books) | |
| # 📊 Models | |
| The following models are available: | |
| * [GLiNER for Bavarian](https://huggingface.co/bavarian-nlp/gliner-bavarian-v0.1) | |
| * [NER Model for Recognizing Named Entities in Bavarian Dialectal Data (Wikipedia)](https://huggingface.co/bavarian-nlp/flair-barner-wiki-coarse-gbert-large) | |
| # ❤️ Acknowledgements | |
| Many thanks to the [MaiNLP research lab](https://mainlp.github.io/) for releasing great Bavarian datasets such as [BarNER](https://arxiv.org/abs/2403.12749) or [MaiBaam](https://arxiv.org/abs/2403.10293). | |
| A lot of thanks also goes to the [Knowledgator Engineering group](https://huggingface.co/knowledgator) for their help and releasing multi-lingual GLiNER models ([GLiNER-X](https://huggingface.co/collections/knowledgator/gliner-x-684320a3f1220315c651d2f5)). | |
| Made from Bavarian Oberland with ❤️ and 🥨. |