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@@ -531,9 +531,11 @@ MAD draws from a diverse array of sources, each contributing to its richness and
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  - [✔] CardiffNLP/TweetSentimentMulti : [Dataset Link](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)
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  - [] OSCAR-2301 : [Dataset Link](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301/viewer/ar/train)
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  - [] mc4 : [Dataset Link](https://huggingface.co/datasets/mc4/viewer/ar/train)
 
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  - [] Muennighoff/xP3x : [Dataset Link](https://huggingface.co/datasets/Muennighoff/xP3x)
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  - [] Ai_Society : [Dataset Link](https://huggingface.co/datasets/camel-ai/ai_society_translated)
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  ## Potential Use Cases
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  The Mixed Arabic Datasets (MAD) holds the potential to catalyze a multitude of groundbreaking applications:
 
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  - [✔] CardiffNLP/TweetSentimentMulti : [Dataset Link](https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual)
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  - [] OSCAR-2301 : [Dataset Link](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301/viewer/ar/train)
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  - [] mc4 : [Dataset Link](https://huggingface.co/datasets/mc4/viewer/ar/train)
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+ - [] bigscience/xP3 : [Dataset Link](https://huggingface.co/datasets/bigscience/xP3/viewer/ar/train)
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  - [] Muennighoff/xP3x : [Dataset Link](https://huggingface.co/datasets/Muennighoff/xP3x)
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  - [] Ai_Society : [Dataset Link](https://huggingface.co/datasets/camel-ai/ai_society_translated)
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  ## Potential Use Cases
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  The Mixed Arabic Datasets (MAD) holds the potential to catalyze a multitude of groundbreaking applications: