Update README.md

README.md

@@ -178,7 +178,7 @@ The property `norm_lmscore` indicates the negative log likelihood for the senten
 The average `norm_lmscore` for sentences in the train split is 5.22 (validation: 5.17, test: 5.10).
 A lower score indicates a sentence that has a higher probability to the model, i.e. a 'better' sentence. 
 A bad (that is, high) `norm_lmscore` may be an indicator of poor normalization quality, of an 'odd' sentence, of unusual vocabulary, etc. 
-Note that particularly good scores may also be artifacts of the language model (you can look at examples in the dataset viewer). 
+Note that particularly good scores may also be artifacts of the language model (you can inspect examples [here](https://huggingface.co/datasets/ybracke/dtak-transnormer-basic-v1/viewer)). 
 
 The property `date` specifies the publication year of this sentence's associated title.
 Other metadata (like title, author name or identifier, genre) are not included in the instances but can be retrieved using the property `basename` via the DTA's metadata API, `f"https://www.deutschestextarchiv.de/api/oai_dc/{basename}"`, e.g. https://www.deutschestextarchiv.de/api/oai_dc/reimarus_blitze_1769.