| license: cc-by-nc-sa-4.0 | |
| language: | |
| - de | |
| tags: | |
| - embeddings | |
| - clustering | |
| - benchmark | |
| size_categories: | |
| - 10K<n<100K | |
| This dataset can be used as a benchmark for clustering word embeddings for <b>German</b>. | |
| The datasets contains news article titles and is based on the dataset of the [One Million Posts Corpus](https://ofai.github.io/million-post-corpus/) and [10kGNAD](https://github.com/tblock/10kGNAD). It contains 10'267 unique samples, 10 splits with 1'436 to 9'962 samples and 9 unique classes. Splits are built similarly to MTEB's [TwentyNewsgroupsClustering](https://huggingface.co/datasets/mteb/twentynewsgroups-clustering) ([Paper](https://arxiv.org/abs/2210.07316)). | |
| Have a look at [German Text Embedding Clustering Benchmark](https://github.com/ClimSocAna/tecb-de) for more infos, datasets and evaluation results. |