Datasets:

ltg
/

norec

@@ -90,29 +90,20 @@ task_categories:
 - text-classification
 ---
 # NoReC: The Norwegian Review Corpus
-This is the official repository for the Norwegian Review Corpus (NoReC), created for the purpose of training and evaluating models for document-level sentiment analysis.
-More than 43,000 full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. The accompanying [paper](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) by Velldal et al. at LREC 2018 describes the (initial release of the) data in more detail.
 ## Dataset details
 - **The columns are:**
 `id, split, rating, category, day, month, year, excerpt, language, source, authors, title, url, text` where basic usage has `text` as the input and `rating` as the output.
-- **Funding:**
-NoReC was created as part of the [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text),
-a collaboration between the Language Technology Group (LTG) at the Department of Informatics at the University of Oslo, the Norwegian Broadcasting Corporation (NRK), Schibsted Media Group and Aller Media.
-- **Language(s):** Norwegian Bokmål (nb) and Norwegian Nynorsk (nn)
-- **License:** [See the license for the NoReC corpus](https://github.com/ltgoslo/norec), copied here for convenience:
-The data is distributed under a Creative Commons Attribution-NonCommercial licence (CC BY-NC 4.0), access the full license text here: https://creativecommons.org/licenses/by-nc/4.0/
 The licence is motivated by the need to block the possibility of third parties redistributing the orignal reviews for commercial purposes.
 Note that **machine learned models**, extracted **lexicons**, **embeddings**, and similar resources that are created on the basis of NoReC are not considered to contain the original data and so **can be freely used also for commercial purposes** despite the non-commercial condition.
-- **Dataset Sources**
-This verion of the corpus comprises 43,436 review texts extracted from eight different news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, DinSide.no and P3.no.
-<!-- Provide the basic links for the dataset. -->
 - **Repository:** https://github.com/ltgoslo/norec
 - **Paper :**  [The accompanying paper by Velldal et al. at LREC 2018](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) describes the (initial release of the) data in more detail.

 - text-classification
 ---
 # NoReC: The Norwegian Review Corpus
+This is the official repository for the Norwegian Review Corpus (NoReC, ver. 2.1), created for the purpose of training and evaluating models for document-level sentiment analysis.
+More than 43,000 full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. The accompanying [paper](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) by Velldal et al. at LREC 2018 describes the initial (ver. 1) release of the data in more detail.
 ## Dataset details
 - **The columns are:**
 `id, split, rating, category, day, month, year, excerpt, language, source, authors, title, url, text` where basic usage has `text` as the input and `rating` as the output.
+- **Curated by:** NoReC 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).
+- **Shared 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
+- **Language(s) (NLP):** Norwegian Bokmål (nb) and Norwegian Nynorsk (nn))
+- **License:** The data is distributed under a Creative Commons Attribution-NonCommercial licence (CC BY-NC 4.0), access the full license text here: https://creativecommons.org/licenses/by-nc/4.0/
 The licence is motivated by the need to block the possibility of third parties redistributing the orignal reviews for commercial purposes.
 Note that **machine learned models**, extracted **lexicons**, **embeddings**, and similar resources that are created on the basis of NoReC are not considered to contain the original data and so **can be freely used also for commercial purposes** despite the non-commercial condition.
+- **Dataset Sources** This version of the corpus (v.2.1) comprises 43,436 review texts extracted from eight different news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, DinSide.no and P3.no.
 - **Repository:** https://github.com/ltgoslo/norec
 - **Paper :**  [The accompanying paper by Velldal et al. at LREC 2018](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) describes the (initial release of the) data in more detail.