add initial version of readme

README.md

@@ -1,3 +1,16 @@
 ---
 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.