The GermEval dataset is a valuable resource for natural language processing (NLP) tasks, specifically named entity recognition (NER), conducted in the German language. Here are some key details about this dataset:
You can find more information and explore the dataset on the Hugging Face Datasets page ¹.
(1) germeval_14 · Datasets at Hugging Face. https://huggingface.co/datasets/germeval_14. (2) GermEval-2018 Corpus (DE) - Empirical Linguistics and ... - heiDATA. https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/0B5VML. (3) GermEval 2014 Named Entity Recognition Shared Task - Data and Task Setup. https://sites.google.com/site/germeval2014ner/data. (4) 6 Best German Language Datasets of 2022 | Twine - Twine Blog. https://www.twine.net/blog/best-german-language-datasets/. (5) germeval_14 | TensorFlow Datasets. https://www.tensorflow.org/datasets/community_catalog/huggingface/germeval_14. (6) undefined. http://www.stern.de/sport/fussball/krawalle-in-der-fussball-bundesliga-dfb-setzt-auf-falsche-konzepte-1553657.html. (7) undefined. http://www.fr-online.de/in_und_ausland/sport/aktuell/1618625_Frings-schaut-finster-in-die-Zukunft.html.
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