Convert to arrow-based dataset

README.md

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 config_names:
 - 20220301.aa
@@ -719,6 +719,7 @@ config_names:
 - 20220301.zh-min-nan
 - 20220301.zh-yue
 - 20220301.zu
+viewer: false
 ---
 
 # Dataset Card for Wikipedia
@@ -762,12 +763,9 @@ 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 are parsed using the ``mwparserfromhell`` tool.
-
-To load this dataset you need to install Apache Beam and ``mwparserfromhell`` first:
-
+The articles are parsed using the ``mwparserfromhell`` tool, which can be installed with:
 ```
-pip install apache_beam mwparserfromhell
+pip install mwparserfromhell
 ```
 
 Then, you can load any subset of Wikipedia per language and per date this way:
@@ -775,11 +773,11 @@ Then, you 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", beam_runner=...)
+load_dataset("wikipedia", language="sw", date="20220120")
 ```
-where you can pass as `beam_runner` any Apache Beam supported runner for (distributed) data processing 
-(see [here](https://beam.apache.org/documentation/runners/capability-matrix/)).
-Pass "DirectRunner" to run it on your machine. 
+
+> [!TIP]
+> You can specify `num_proc=` in `load_dataset` to generate the dataset in parallel.
 
 You can find the full list of languages and dates [here](https://dumps.wikimedia.org/backup-index.html).
 
@@ -824,39 +822,39 @@ Some subsets of Wikipedia have already been processed by HuggingFace, as you can
 
 #### 20220301.de
 
-- **Size of downloaded dataset files:** 6.84 GB
-- **Size of the generated dataset:** 9.34 GB
-- **Total amount of disk used:** 16.18 GB
+- **Size of downloaded dataset files:** 5.34 GB
+- **Size of the generated dataset:** 8.91 GB
+- **Total amount of disk used:** 14.25 GB
 
 #### 20220301.en
 
-- **Size of downloaded dataset files:** 21.60 GB
-- **Size of the generated dataset:** 21.26 GB
-- **Total amount of disk used:** 42.86 GB
+- **Size of downloaded dataset files:** 11.69 GB
+- **Size of the generated dataset:** 20.28 GB
+- **Total amount of disk used:** 31.96 GB
 
 #### 20220301.fr
 
-- **Size of downloaded dataset files:** 5.87 GB
-- **Size of the generated dataset:** 7.73 GB
-- **Total amount of disk used:** 13.61 GB
+- **Size of downloaded dataset files:** 4.22 GB
+- **Size of the generated dataset:** 7.38 GB
+- **Total amount of disk used:** 11.60 GB
 
 #### 20220301.frr
 
-- **Size of downloaded dataset files:** 13.04 MB
-- **Size of the generated dataset:** 9.57 MB
-- **Total amount of disk used:** 22.62 MB
+- **Size of downloaded dataset files:** 4.53 MB
+- **Size of the generated dataset:** 9.13 MB
+- **Total amount of disk used:** 13.66 MB
 
 #### 20220301.it
 
-- **Size of downloaded dataset files:** 3.69 GB
-- **Size of the generated dataset:** 4.76 GB
-- **Total amount of disk used:** 8.45 GB
+- **Size of downloaded dataset files:** 2.71 GB
+- **Size of the generated dataset:** 4.54 GB
+- **Total amount of disk used:** 7.25 GB
 
 #### 20220301.simple
 
-- **Size of downloaded dataset files:** 251.32 MB
-- **Size of the generated dataset:** 246.49 MB
-- **Total amount of disk used:** 497.82 MB
+- **Size of downloaded dataset files:** 133.89 MB
+- **Size of the generated dataset:** 235.07 MB
+- **Total amount of disk used:** 368.96 MB
 
 ### Data Fields
 

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