Update README.md

README.md

@@ -87,13 +87,48 @@ dataset_info:
     dtype: 'null'
   splits:
   - name: train
-    num_bytes: 432536720.0
+    num_bytes: 432536720
     num_examples: 153983
   download_size: 185292857
-  dataset_size: 432536720.0
+  dataset_size: 432536720
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- fr
+tags:
+- legal
+- law
+- droit
+- fiscalité
 ---
+
+<img src="assets/thumbnail.webp">
+
+# Romulus, continued pre-trained models for French law.
+
+Romulus is a series of continued pre-trained models enriched in French law and intended to serve as the basis for a fine-tuning process on labeled data. Please note that these models have not been aligned for the production of usable text as they stand, and will certainly need to be fine-tuned for the desired tasks in order to produce satisfactory results.
+
+The training corpus is made up of around 34,864,949 tokens (calculated with the meta-llama/Meta-Llama-3.1-8B tokenizer).
+
+## Citing & Authors
+
+If you use this code in your research, please use the following BibTeX entry.
+
+```BibTeX
+@misc{louisbrulenaudet2024,
+  author =       {Louis Brulé Naudet},
+  title =        {Romulus, continued pre-trained models for French law},
+  year =         {2024}
+  howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/Romulus-cpt-fr}},
+}
+```
+
+## Feedback
+
+If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).