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@@ -103,7 +103,7 @@ Sentence-level polarity classification of Norwegian sentences from reviews acros
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  ### Dataset Description
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- 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).
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  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).
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  - **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:
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  ### Curation Rationale
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- The aggragated annotations of NoReC_sentence are primarily intended for benchmarking purposes.
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  ### Source Data
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  ### Dataset Description
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+ 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).
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  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).
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  - **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
 
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  ### Curation Rationale
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+ The aggregated annotations of NoReC_sentence are primarily intended for benchmarking purposes.
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  ### Source Data
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