Update README.md

README.md

@@ -103,7 +103,7 @@ Sentence-level polarity classification of Norwegian sentences from reviews acros
 
 ### Dataset Description
 
-This is a dataset for sentence-level sentiment classification in Norwegian, derived from the the fine-grained annotations of [NoReC_fine](https://github.com/ltgoslo/norec_fine). We here provide a version where the annotations have been aggregated at the sentence-level, by only keeping sentences that contain sentiment annotations of either positive or negative polarity (but not both), in addition to sentences having no sentiment at all (neutral).
+This is a dataset for sentence-level sentiment classification in Norwegian, derived from the fine-grained annotations of [NoReC_fine](https://github.com/ltgoslo/norec_fine). We here provide a version where the annotations have been aggregated at the sentence-level, by only keeping sentences that contain sentiment annotations of either positive or negative polarity (but not both), in addition to sentences having no sentiment at all (neutral).
 Note that sentences that contained mixed polarity are excluded. The data comes with pre-defined train/dev/test splits. The data comes in three different versions: _binary_ (only positive or negative sentences), _ternary_ (additionally includes neutral examples), and _mixed_ (additionaly includes sentences with mixed polarity).
 
 - **Curated by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text) at the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo
@@ -159,7 +159,7 @@ Mixed:
 
 ### Curation Rationale
 
-The aggragated annotations of NoReC_sentence are primarily intended for benchmarking purposes.
+The aggregated annotations of NoReC_sentence are primarily intended for benchmarking purposes.
 
 ### Source Data