Update metadata in dataset card (#4)

- Update metadata in dataset card (ef3b61977b5e662eaa13316018eb34f72ea86d8f)

README.md

@@ -10,8 +10,7 @@ language:
 - fr
 - ru
 - zh
-license:
-- unknown
+license: other
 multilinguality:
 - multilingual
 size_categories:
@@ -252,7 +251,7 @@ config_names:
 - ru-zh
 ---
 
-# Dataset Card for [Dataset Name]
+# Dataset Card for United Nations Parallel Corpus
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -281,16 +280,17 @@ config_names:
 ## Dataset Description
 
 - **Homepage:** https://opus.nlpl.eu/UNPC/corpus/version/UNPC
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** https://aclanthology.org/L16-1561/
+- **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 parallel corpus consists of manually translated UN documents from the last 25 years (1990 to 2014) \
+The United Nations Parallel Corpus is the first parallel corpus composed from United Nations documents published by the original data creator. 
+The parallel corpus consists of manually translated UN documents from the last 25 years (1990 to 2014)
 for the six official UN languages, Arabic, Chinese, English, French, Russian, and Spanish.
-6 languages, 15 bitexts
+The corpus is freely available for download under a liberal license. 
 
 ### Supported Tasks and Leaderboards
 
@@ -298,7 +298,7 @@ The underlying task is machine translation.
 
 ### Languages
 
-[More Information Needed]
+The six official UN languages: Arabic, Chinese, English, French, Russian, and Spanish.
 
 ## Dataset Structure
 
@@ -366,7 +366,13 @@ The underlying task is machine translation.
 
 ### Licensing Information
 
-[More Information Needed]
+https://conferences.unite.un.org/UNCORPUS/#disclaimer
+
+The following disclaimer, an integral part of the United Nations Parallel Corpus, shall be respected with regard to the Corpus (no other restrictions apply):
+- The United Nations Parallel Corpus is made available without warranty of any kind, explicit or implied. The United Nations specifically makes no warranties or representations as to the accuracy or completeness of the information contained in the United Nations Corpus.
+- Under no circumstances shall the United Nations be liable for any loss, liability, injury or damage incurred or suffered that is claimed to have resulted from the use of the United Nations Corpus. The use of the United Nations Corpus is at the user's sole risk. The user specifically acknowledges and agrees that the United Nations is not liable for the conduct of any user. If the user is dissatisfied with any of the material provided in the United Nations Corpus, the user's sole and exclusive remedy is to discontinue using the United Nations Corpus.
+- When using the United Nations Corpus, the user must acknowledge the United Nations as the source of the information. For references, please cite this reference: Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
+- Nothing herein shall constitute or be considered to be a limitation upon or waiver, express or implied, of the privileges and immunities of the United Nations, which are specifically reserved.
 
 ### Citation Information