This data collection contains synchronic semantic relatedness judgments for German word usage pairs drawn from general language and the domain of cooking. Find a description of the data format, code to process the data and further datasets on the WUGsite. We provide additional data under misc/: testset: a semantic meaning shift test set with 22 German lexemes exhibiting different degrees of meaning shifts from general language to the domain of cooking. The 'mean relatedness score' denotes the annotation-based measure of semantic shift described in the paper. 'frequency GEN' and 'frequency SPEC' list the frequencies of the target words in the general-language corpus (GEN) and the domain-specific cooking corpus (SPEC). 'translations' provides English translations across senses, illustrating possible meaning shifts. Note that further senses might exist. tables: the annotated table of each annotator. plots: data visualization plots. Please find more information on the provided data in the paper referenced below. Version: 2.0.0, 30.9.2021. Reference Anna Hätty, Dominik Schlechtweg, Sabine Schulte im Walde. 2019. SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM). Minneapolis, Minnesota, USA, 2019.

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