Update README.md

README.md

@@ -36,7 +36,7 @@ summary = tokenizer.decode(predicted_abstract_ids, skip_special_tokens=True)
 print(summary)
 ```
 ## Training Data
-Dataset name: bakhitovd/data_science_arxiv
+Dataset name: bakhitovd/data_science_arxiv\
 This dataset is a subset of the 'Scientific papers' dataset, which contains articles semantically, structurally, and meaningfully closest to articles describing machine learning. This subset was obtained using K-means clustering on the embeddings generated by SciBERT.
 ## Evaluation Results
 The model's performance was evaluated using ROUGE metrics and it showed improved performance over the baseline models.