Update README.md

README.md

@@ -16,4 +16,66 @@ tags:
 - political science
 - parties
 - press releases
----
+---
+
+
+# PARTYPRESS multilingual
+
+Fine-tuned model in seven languages on texts from nine countries, based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). It used in Erfort et al. (2023).
+
+
+## Model description
+
+tbs
+
+## Model variations
+
+tbd (monolingual)
+
+## Intended uses & limitations
+
+tbd
+
+### How to use
+
+tbd
+
+### Limitations and bias
+
+tbd
+
+## Training data
+
+For the training data, please refer to [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)
+
+## Training procedure
+
+### Preprocessing
+
+For the preprocessing, please refer to [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)
+
+### Pretraining
+
+For the pretraining, please refer to [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased)
+
+## Evaluation results
+
+Fine-tuned on our downstream task, this model achieves the following results:
+
+
+### BibTeX entry and citation info
+
+```bibtex
+@article{erfort_partypress_2023,
+  author    = {Cornelius Erfort and
+               Lukas F. Stoetzer and
+               Heike Klüver},
+  title     = {The PARTYPRESS Database: A New Comparative Database of Parties’ Press Releases},
+  journal   = {Research and Politics},
+  volume    = {forthcoming},
+  year      = {2023},
+}
+```
+
+
+