Update README.md

README.md

@@ -114,7 +114,7 @@ widget:
     différentes. C'est gratuit !
   example_title: French
 datasets:
-- TajaKuzman/X-GENRE-multilingual-text-genre-dataset
+- TajaKuzman/X-GENRE-text-genre-dataset
 base_model:
 - FacebookAI/xlm-roberta-base
 ---
@@ -122,7 +122,7 @@ base_model:
 # X-GENRE classifier - multilingual text genre classifier
 
 Text classification model based on [`xlm-roberta-base`](https://huggingface.co/xlm-roberta-base)
-and fine-tuned on a [multilingual manually-annotated X-GENRE genre dataset](https://huggingface.co/datasets/TajaKuzman/X-GENRE-multilingual-text-genre-dataset).
+and fine-tuned on a [multilingual manually-annotated X-GENRE genre dataset](https://huggingface.co/datasets/TajaKuzman/X-GENRE-text-genre-dataset).
 The model can be used for automatic genre identification, applied to any text in a language, supported by the `xlm-roberta-base`.
 
 The details on the model development, the datasets and the model's in-dataset, cross-dataset and multilingual performance are provided in the paper [Automatic Genre Identification for Robust Enrichment of Massive Text Collections: Investigation of Classification Methods in the Era of Large Language Models](https://www.mdpi.com/2504-4990/5/3/59) (Kuzman et al., 2023).
@@ -289,7 +289,7 @@ model_args= {
 
 ## Citation
 
-If you use the model, please cite the paper which describes creation of the [X-GENRE dataset](https://huggingface.co/datasets/TajaKuzman/X-GENRE-multilingual-text-genre-dataset) and the genre classifier:
+If you use the model, please cite the paper which describes creation of the [X-GENRE dataset](https://huggingface.co/datasets/TajaKuzman/X-GENRE-text-genre-dataset) and the genre classifier:
 
 ```
 @article{kuzman2023automatic,