Update README.md

README.md

@@ -75,7 +75,7 @@ Document-level polarity classification of Norwegian full-text reviews across mix
 
 ## Dataset Details
 
-This is a dataset for document-level sentiment classification in Norwegian, derived from the Norwegian Review Corpus: [NoReC](https://huggingface.co/datasets/ltg/norec). We here provive two simplified versions of NoReC where the original six-point numerical rating has been mapped to a recuced set of categorical classes: _positive_ and _negative_ for the binary version, and _positive_, _fair_, and _negative_ for the ternary version. The data comes with pre-defined splits for training, validataion, and testing.
+This is a dataset for document-level sentiment classification in Norwegian, derived from the Norwegian Review Corpus: [NoReC](https://huggingface.co/datasets/ltg/norec). We here provive two simplified versions of NoReC where the original six-point numerical rating has been mapped to a recuced set of categorical classes: _positive_ and _negative_ for the **binary** version, and _positive_, _fair_, and _negative_ for the **ternary** version. The data comes with pre-defined splits for training, validataion, and testing.
 
 - **Curated by:** The underlying NoReC data was created as part of the [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text), coordinated by the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo, in collaboration with the Norwegian Broadcasting Corporation (NRK), Schibsted Media Group and Aller Media.
 - **Funded by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project is funded by the [Research Council of Norway](https://www.forskningsradet.no/en/) (NFR grant number 270908).