Release: 2.0.0

Commit from https://github.com/huggingface/datasets/commit/983f46ddae2f5b253db2b3c5691d38c75241cadb

README.md

@@ -686,15 +686,31 @@ The datasets are built from the Wikipedia dump
 contains the content of one full Wikipedia article with cleaning to strip
 markdown and unwanted sections (references, etc.).
 
-The articles have been parsed using the ``mwparserfromhell`` tool.
+The articles are parsed using the ``mwparserfromhell`` tool.
+
+To load this dataset you need to install Apache Beam and ``mwparserfromhell`` first:
+
+```
+pip install apache_beam mwparserfromhell
+```
+
+Then can load any subset of Wikipedia per language and per date this way:
+
+```python
+from datasets import load_dataset
+
+load_dataset("wikipedia", language="sw", date="20220120")
+```
+
+You can find the full list of languages and dates [here](https://dumps.wikimedia.org/backup-index.html).
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+The dataset is generally used for Language Modeling.
 
 ### Languages
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+You can find the list of languages [here](https://en.wikipedia.org/wiki/List_of_Wikipedias).
 
 ## Dataset Structure
 
@@ -702,6 +718,7 @@ We show detailed information for up to 5 configurations of the dataset.
 
 ### Data Instances
 
+Some subsets of Wikipedia have already been processed by Hugging face, as you can see below:
 
 #### 20200501.en
 
@@ -825,10 +842,8 @@ Here are the sizes for several configurations:
     title  = "Wikimedia Downloads",
     url    = "https://dumps.wikimedia.org"
 }
-
 ```
 
-
 ### Contributions
 
 Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.