Update README.md

README.md

@@ -54,4 +54,4 @@ Several common deficiencies can be observed, including hallucination, toxicity a
 
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-SNIP-IGEL has been fine-tuned on [instruct-snippet-mlsum](https://huggingface.co/datasets/snipaid/instruct-snippet-mlsum-v2). MLSUM is a dataset containing a german subset with text, title and teaser for news articles from the newspaper "Süddeutsche Zeitung". The dataset has been augmented with snippet data generated using a composite prompt which involves generating a SERP, keywords and a tweet for the news articles using a student-teacher-approach. Also see [snippet-mlsum-500](https://huggingface.co/datasets/snipaid/snippet-mlsum-500-v2) for the dataset without instructions and our [blogpost](https://snipaid-nlg.github.io/2023/04/13/SNIP-IGEL.html) for more information about the construction of the dataset.
+SNIP-IGEL has been fine-tuned on [instruct-snippet-mlsum-v2](https://huggingface.co/datasets/snipaid/instruct-snippet-mlsum-v2). MLSUM is a dataset containing a german subset with text, title and teaser for news articles from the newspaper "Süddeutsche Zeitung". The dataset has been augmented with snippet data generated using a composite prompt which involves generating a SERP, keywords and a tweet for the news articles using a student-teacher-approach. Also see [snippet-mlsum-500-v2](https://huggingface.co/datasets/snipaid/snippet-mlsum-500-v2) for the dataset without instructions and our [blogpost](https://snipaid-nlg.github.io/2023/04/13/SNIP-IGEL.html) for more information about the construction of the dataset.