Datasets:

ltg
/

norec_sentence

@@ -104,10 +104,7 @@ 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).
-Note that sentences that contained mixed polarity are excluded. The data comes with pre-defined train/dev/test splits. They data comes in three different versions:
-- Binary: only includes examples with positive or negative polarity
-- Ternary: additionally includes neutral examples
-- Mixed: additionaly includes examples with mixed (i.e. both positive and negative) 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
 - **Funded by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) is funded by the [Research Council of Norway](https://www.forskningsradet.no/en/) (NFR grant number 270908).
@@ -130,6 +127,12 @@ The data is intended to be used for training and testing models for Norwegian se
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 [More Information Needed]
 ## Dataset Creation

 ### 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).
+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
 - **Funded by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) is funded by the [Research Council of Norway](https://www.forskningsradet.no/en/) (NFR grant number 270908).
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+The data comes in three different versions:
+- Binary: only includes examples with positive or negative polarity
+- Ternary: additionally includes neutral examples
+- Mixed: additionaly includes examples with mixed (i.e. both positive and negative) polarity
 [More Information Needed]
 ## Dataset Creation