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 10'275 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).

Have a look at German Text Embedding Clustering Benchmark ([Github](https://github.com/ClimSocAna/tecb-de), [Paper](https://arxiv.org/abs/2401.02709)) for more infos, datasets and evaluation results.
size_categories:10K<n<100K language:de license:cc-by-nc-sa-4.0 embeddings clustering benchmark arxiv:2401.02709 region:us
{"language": ["de"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"], "tags": ["embeddings", "clustering", "benchmark"]}
TAGS
#size_categories-10K<n<100K #language-German #license-cc-by-nc-sa-4.0 #embeddings #clustering #benchmark #arxiv-2401.02709 #region-us 

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 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.
TAGS
#size_categories-10K<n<100K #language-German #license-cc-by-nc-sa-4.0 #embeddings #clustering #benchmark #arxiv-2401.02709 #region-us 

passage: TAGS
#size_categories-10K<n<100K #language-German #license-cc-by-nc-sa-4.0 #embeddings #clustering #benchmark #arxiv-2401.02709 #region-us 
