Convert to arrow-based dataset (#19)

- Deprecate dataset (7022b714df306e3afef260700fa16f4ffc6d7a36)
- Upload processed simple subset (c168dca80061fa1faf0b8c340c7d7eeedbd58aef)
- Delete folder data with huggingface_hub (ba48a0f4c21101888a9d2c7bfb9f2f0f25bea4eb)
- Upload processed simple subset (e6efbcdeb351651a89f4f8198bb2c70e64311f71)
- Upload processed de subset (bfc2881355d9f86926b83965d20dbf4f2db3f919)
- Upload processed simple subset (3415e629d3e0aa7cdc36cf37eaa25484049ee0a5)
- Upload processed de subset (1761bc9f6b421a1f130b8402bcf2c0f7bfce5ee9)
- Upload processed de subset (e9e9131f25db95a4550aeb338f0309e9ea6c6d96)
- Delete folder data/20220301.de with huggingface_hub (553483db33c32d73ab136fc5cf506a9102e5608a)
- Upload processed de subset (2f4b38d68213941c8efab3d7f9c8578c195d2354)
- Upload processed en subset (2df1d662789a93a929886c7f68cd3aa3c8887156)
- Upload processed fr subset (31f22e5fbaad90aa5d42446df8e73ff21b6d69b7)
- Upload processed frr subset (365f6ab63e94fa263c7bfea8c58a439d74d65b48)
- Upload processed it subset (d8a75a06a26e134fdcc8ab57ec9677cb0b6593e4)
- Upload wikipedia.py with huggingface_hub (034395159b3e7104b0f74a02f39578c01261d307)
- Update wikipedia.py (2ee917baf3dd4d7e3fdf13e8ef29b8b1fac8957f)
- Remove the BeamRunner note from README (da2e620e4fbaa602ed602c4bcff0778644185cb7)
- Disable the viewer (18b641f905d91e8260a4635adf8e0c72ab85488a)
- Delete dataset_infos.json (8e7b6ef36305f08d12f77566f21785e1865ffc37)
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- Update wikipedia.py (26cd3a2c6e6ddb6ab5761f46dce441a8cd3fd516)
- Small fix (b8b3fa4b45146e7f7f530b6eda4198653146ef0a)
- Small card improvements (e85100d5d5f9c1a110281dfd82e27c0067d4bf41)
- Update README.md (1f2c48f2ee75ddd2c17d9a8bbc03263f8c359d56)
- Update wikipedia.py (6208f3790947693bae285ae2a2da2bfbef08ee6a)
- Fix dataset link (0b089d178c375c4ed2ffc17c09c72ffcb642029a)
- Remove deprecation warning from the card (a193dc820549ce219a4873093c9b1e33e122a8cb)
- Remove warning from the script (40204843810dc94ca950b34257aab937aeb773dc)

README.md

@@ -336,7 +336,7 @@ dataset_info:
   - name: train
     num_bytes: 8905282792
     num_examples: 2665357
-  download_size: 6523215105
+  download_size: 5343683253
   dataset_size: 8905282792
 - config_name: 20220301.en
   features:
@@ -352,7 +352,7 @@ dataset_info:
   - name: train
     num_bytes: 20275516160
     num_examples: 6458670
-  download_size: 20598313936
+  download_size: 11685147288
   dataset_size: 20275516160
 - config_name: 20220301.fr
   features:
@@ -368,7 +368,7 @@ dataset_info:
   - name: train
     num_bytes: 7375920768
     num_examples: 2402095
-  download_size: 5602565274
+  download_size: 4223919240
   dataset_size: 7375920768
 - config_name: 20220301.frr
   features:
@@ -384,7 +384,7 @@ dataset_info:
   - name: train
     num_bytes: 9129760
     num_examples: 15199
-  download_size: 12438017
+  download_size: 4529255
   dataset_size: 9129760
 - config_name: 20220301.it
   features:
@@ -400,7 +400,7 @@ dataset_info:
   - name: train
     num_bytes: 4539944448
     num_examples: 1743035
-  download_size: 3516441239
+  download_size: 2713949281
   dataset_size: 4539944448
 - config_name: 20220301.simple
   features:
@@ -416,7 +416,7 @@ dataset_info:
   - name: train
     num_bytes: 235072360
     num_examples: 205328
-  download_size: 239682796
+  download_size: 133886521
   dataset_size: 235072360
 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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