Two fundamental tasks in computational linguistics are Lexical Semantic Change Detection and Word Sense Disambiguation. Both commonly rely on large annotated datasets. Most available datasets cover only one of two areas: diachronic corpora used for Semantic Change Detection, or synchronic datasets for Word Sense Disambiguation. To address this gap, the AmDi dataset is introduced as a German-language resource that supports a more fine-grained diachronic analysis of word meanings, while also enabling the investigation of embeddings generated with corresponding models, as well as providing a foundation for Word Sense Disambiguation tasks.