slvnwhrl/tenkgnad-clustering-p2p

This dataset can be used as a benchmark for clustering word embeddings for German. The datasets contains news article titles and is based on the dataset of the One Million Posts Corpus and 10kGNAD. It contains 10'275 unique samples, 10 splits with 1'436 to 9'962 samples and 9 unique classes. Splits are built similarly to MTEB's TwentyNewsgroupsClustering. Have a look at German Text Embedding Clustering Benchmark (Github, Paper) for more infos, datasets and evaluation results. If you use this… See the full description on the dataset page: https://huggingface.co/datasets/slvnwhrl/tenkgnad-clustering-p2p.