add citation info in readme

README.md

@@ -13,4 +13,26 @@ This dataset can be used as a benchmark for clustering word embeddings for <b>Ge
 
 The datasets contains book titles and is based on the dataset from the [GermEval 2019 Shared Task on Hierarchical Classification of Blurbs](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/germeval-2019-hmc.html). It contains 18'084 unqiue samples, 28 splits with 177 to 16'425 samples and 4 to 93 unique classes. Splits are built similarly to [MTEB](https://github.com/embeddings-benchmark/mteb)'s [ArxivClusteringP2P](https://huggingface.co/datasets/mteb/arxiv-clustering-p2p).
 
-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.
+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.
+
+If you use this dataset in your work, please cite the following paper: 
+
+```
+@inproceedings{wehrli-etal-2023-german,
+    title = "{G}erman Text Embedding Clustering Benchmark",
+    author = "Wehrli, Silvan  and
+      Arnrich, Bert  and
+      Irrgang, Christopher",
+    editor = "Georges, Munir  and
+      Herygers, Aaricia  and
+      Friedrich, Annemarie  and
+      Roth, Benjamin",
+    booktitle = "Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)",
+    month = sep,
+    year = "2023",
+    address = "Ingolstadt, Germany",
+    publisher = "Association for Computational Lingustics",
+    url = "https://aclanthology.org/2023.konvens-main.20",
+    pages = "187--201",
+}
+```