Update metadata in dataset card

README.md

@@ -371,17 +371,19 @@ config_names:
 
 ## Dataset Description
 
-- **Homepage:**[MultiUN](http://www.euromatrixplus.net/multi-unp)
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
+- **Homepage:** https://opus.nlpl.eu/MultiUN/corpus/version/MultiUN
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** https://aclanthology.org/L10-1473/
+- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 ### Dataset Summary
 
-This is a collection of translated documents from the United Nations.
-This corpus is available in all 6 official languages of the UN
-consisting of around 300 million words per language
+The MultiUN parallel corpus is extracted from the United Nations Website , and then cleaned and converted to XML at Language Technology Lab in DFKI GmbH (LT-DFKI), Germany. The documents were published by UN from 2000 to 2009.
+
+This is a collection of translated documents from the United Nations originally compiled by Andreas Eisele and Yu Chen (see http://www.euromatrixplus.net/multi-un/).
+
+This corpus is available in all 6 official languages of the UN consisting of around 300 million words per language
 
 ### Supported Tasks and Leaderboards
 
@@ -389,7 +391,8 @@ The underlying task is machine translation.
 
 ### Languages
 
-[More Information Needed]
+Parallel texts are present in all six official languages, namely Arabic, Chinese,
+English, French, Russian and Spanish, with a small part of the documents available also in German.
 
 ## Dataset Structure
 
@@ -415,7 +418,7 @@ The underlying task is machine translation.
 
 #### Initial Data Collection and Normalization
 
-[More Information Needed]
+Original MultiUN source data: http://www.euromatrixplus.net/multi-unp
 
 #### Who are the source language producers?
 
@@ -461,6 +464,7 @@ The underlying task is machine translation.
 
 ### Citation Information
 
+If you use this corpus in your work, please cite the paper:
 ```
 @inproceedings{eisele-chen-2010-multiun,
     title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents",
@@ -476,20 +480,31 @@ The underlying task is machine translation.
 }
 ```
 
+If you use any part of the corpus (hosted in OPUS) in your own work, please cite the following article:
 ```
-@InProceedings{TIEDEMANN12.463,
-  author = {J�rg Tiedemann},
-  title = {Parallel Data, Tools and Interfaces in OPUS},
-  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
-  year = {2012},
-  month = {may},
-  date = {23-25},
-  address = {Istanbul, Turkey},
-  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
-  publisher = {European Language Resources Association (ELRA)},
-  isbn = {978-2-9517408-7-7},
+@inproceedings{tiedemann-2012-parallel,
+    title = "Parallel Data, Tools and Interfaces in {OPUS}",
+    author = {Tiedemann, J{\"o}rg},
+    editor = "Calzolari, Nicoletta  and
+      Choukri, Khalid  and
+      Declerck, Thierry  and
+      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
+      Maegaard, Bente  and
+      Mariani, Joseph  and
+      Moreno, Asuncion  and
+      Odijk, Jan  and
+      Piperidis, Stelios",
+    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
+    month = may,
+    year = "2012",
+    address = "Istanbul, Turkey",
+    publisher = "European Language Resources Association (ELRA)",
+    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
+    pages = "2214--2218",
+    abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
 }
 ```
+
 ### Contributions
 
 Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.