Update metadata

README.md

@@ -23,7 +23,7 @@ task_categories:
 - translation
 task_ids: []
 paperswithcode_id: multiun
-pretty_name: Multilingual Corpus from United Nation Documents
+pretty_name: MultiUN (Multilingual Corpus from United Nation Documents)
 dataset_info:
 - config_name: ar-de
   features:
@@ -343,7 +343,7 @@ config_names:
 - ru-zh
 ---
 
-# Dataset Card for MultiUN
+# Dataset Card for OPUS MultiUN
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -391,22 +391,29 @@ The underlying task is machine translation.
 
 ### Languages
 
-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.
+Parallel texts are present in all six official languages: Arabic (`ar`), Chinese (`zh`), English (`en`), French (`fr`),
+Russian (`ru`) and Spanish (`es`), with a small part of the documents available also in German (`de`).
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+```
+{
+  "translation": {
+    "ar": "قرار اتخذته الجمعية العامة",
+    "de": "Resolution der Generalversammlung"
+  }
+}
+```
 
 ### Data Fields
 
-[More Information Needed]
+- `translation` (`dict`): Parallel sentences for the pair of languages.
 
 ### Data Splits
 
-[More Information Needed]
+The dataset contains a single "train" split for each language pair.
 
 ## Dataset Creation
 

un_multi.py

@@ -57,7 +57,9 @@ consisting of around 300 million words per language
 """
 
 
-_HOMEPAGE = "http://www.euromatrixplus.net/multi-un/"
+# Original:
+# _HOMEPAGE = "http://www.euromatrixplus.net/multi-un/"
+_HOMEPAGE = "https://opus.nlpl.eu/MultiUN/corpus/version/MultiUN"
 
 _LANGUAGES = ["ar", "de", "en", "es", "fr", "ru", "zh"]
 _LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2))