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M-A-D
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Mixed-Arabic-Datasets-Repo

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Text Classification

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Ali-C137 commited on Aug 28, 2023

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@@ -123,7 +123,10 @@ Encompassing a wide spectrum of content, ranging from social media conversations
 This corpus offers comprehensive insights into the linguistic diversity and cultural nuances of Arabic expression.
 ## Usage
-If you want to use this dataset you pick one among the available configs: ['Ara--MBZUAI--Bactrian-X', 'Ara--OpenAssistant--oasst1', 'Ary--AbderrahmanSkiredj1--Darija-Wikipedia']
 Example of usage:
 ```python
@@ -131,7 +134,7 @@ dataset = load_dataset('mixed-arabic-datasets', 'Ara--MBZUAI--Bactrian-X')
 ```
 If you load multiple datasets and merge them together then you can simply laverage `concatenate_datasets()` from `datasets`
 ```pyhton
-    dataset3 = concatenate_datasets([dataset1['train'], dataset2['train']])
 ```
 Note : proccess the datasets before merging in order to make sure you have a new dataset that is consistent

 This corpus offers comprehensive insights into the linguistic diversity and cultural nuances of Arabic expression.
 ## Usage
+If you want to use this dataset you pick one among the available configs:
+['Ara--MBZUAI--Bactrian-X',
+'Ara--OpenAssistant--oasst1',
+'Ary--AbderrahmanSkiredj1--Darija-Wikipedia']
 Example of usage:
 ```python
 ```
 If you load multiple datasets and merge them together then you can simply laverage `concatenate_datasets()` from `datasets`
 ```pyhton
+dataset3 = concatenate_datasets([dataset1['train'], dataset2['train']])
 ```
 Note : proccess the datasets before merging in order to make sure you have a new dataset that is consistent