German
German text embedding quality across classification, clustering, pair classification, reranking, retrieval, and semantic similarity.
Reference paper →Cite this benchmark
Citation (BibTeX)
@misc{wehrli2024germantextembeddingclustering,
archiveprefix = {arXiv},
author = {Silvan Wehrli and Bert Arnrich and Christopher Irrgang},
eprint = {2401.02709},
primaryclass = {cs.CL},
title = {German Text Embedding Clustering Benchmark},
url = {https://arxiv.org/abs/2401.02709},
year = {2024},
}
Languages 1
Tasks 19
Task Types 6
Models 0