extend metadata (add language tag and link the publication) (#1)

- extend metadata (add language tag and link the publication) (638763247e86f09f068701ce6480812c5aa13926)


Co-authored-by: Verena Blaschke <verenablaschke@users.noreply.huggingface.co>

README.md

@@ -5,8 +5,10 @@ tags:
 model-index:
 - name: pixel-base-german
   results: []
-  paper: https://arxiv.org/abs/xxxx.xxxxx
+  paper: https://aclanthology.org/2025.coling-main.427/
 license: apache-2.0
+language:
+- de
 ---
 
 # PIXEL-base-german
@@ -15,7 +17,7 @@ license: apache-2.0
 
 We trained the model using the architecture and [codebase](https://github.com/xplip/pixel) proposed in the 2023 Rust et al. paper [Language Modelling with Pixels](https://arxiv.org/abs/2207.06991).
 
-This model has been used in the paper *Evaluating Pixel Language Models on Non-Standardized Languages*, accepted at COLING 2025.
+This German model was introduced and evaluated in the paper [Evaluating Pixel Language Models on Non-Standardized Languages](https://aclanthology.org/2025.coling-main.427/), presented at COLING 2025.
 
 ## Model description
 *Description from [https://huggingface.co/Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base)* 
@@ -133,5 +135,22 @@ model = PIXELForPreTraining.from_pretrained("amunozo/pixel-base-german", config=
 - Datasets 2.14.5
 - Tokenizers 0.13.3
 
+## Citation
+
+```
+@inproceedings{munoz-ortiz-etal-2025-evaluating,
+    title = "Evaluating Pixel Language Models on Non-Standardized Languages",
+    author = "Mu{\~n}oz-Ortiz, Alberto and Blaschke, Verena and Plank, Barbara",
+    editor = "Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven",
+    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
+    month = jan,
+    year = "2025",
+    address = "Abu Dhabi, UAE",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.coling-main.427/",
+    pages = "6412--6419",
+}
+```
+
 ## Acknowledgements
 This work was funded by the European Research Council (ERC)  Consolidator Grant DIALECT 101043235; SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2024/02); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020-113230RB-C21); LATCHING (PID2023-147129OB-C21) funded by MICIU/AEI/10.13039/501100011033 and ERDF; and Centro de Investigación de Galicia ‘‘CITIC’’, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS).