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Add description for abbreviations

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@@ -11,8 +11,11 @@ widget:
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  ## Model description
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  **CAMeLBERT** is a collection of BERT models pre-trained on Arabic texts with different sizes and variants.
 
 
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  The details are described in the paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."*
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- We release eight models with different sizes and variants as follows:
 
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  ||Model|Variant|Size|#Word|
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  |-|-|:-:|-:|-:|
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  ||`bert-base-camelbert-msa-eighth`|MSA|14GB|1.6B|
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  ||`bert-base-camelbert-msa-sixteenth`|MSA|6GB|746M|
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- This model card describes **CAMeLBERT-DA** (`bert-base-camelbert-da`), a model pre-trained on the DA dataset.
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-
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  ## Intended uses
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  You can use the released model for either masked language modeling or next sentence prediction.
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  However, it is mostly intended to be fine-tuned on an NLP task, such as NER, POS tagging, sentiment analysis, dialect identification, and poetry classification.
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  ```
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  ## Training data
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- - DA
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  - A collection of dialectal Arabic data described in [our paper](https://arxiv.org/abs/2103.06678).
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  ## Training procedure
 
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  ## Model description
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  **CAMeLBERT** is a collection of BERT models pre-trained on Arabic texts with different sizes and variants.
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+ We release pre-trained language models for Modern Standard Arabic (MSA), dialectal Arabic (DA), and classical Arabic (CA), in addition to a model pre-trained on a mix of the three.
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+ We also provide additional models that are pre-trained on a scaled-down set of the MSA variant (half, quarter, eighth, and sixteenth).
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  The details are described in the paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."*
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+
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+ This model card describes **CAMeLBERT-DA** (`bert-base-camelbert-da`), a model pre-trained on the DA (dialectal Arabic) dataset.
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  ||Model|Variant|Size|#Word|
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  |-|-|:-:|-:|-:|
 
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  ||`bert-base-camelbert-msa-eighth`|MSA|14GB|1.6B|
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  ||`bert-base-camelbert-msa-sixteenth`|MSA|6GB|746M|
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  ## Intended uses
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  You can use the released model for either masked language modeling or next sentence prediction.
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  However, it is mostly intended to be fine-tuned on an NLP task, such as NER, POS tagging, sentiment analysis, dialect identification, and poetry classification.
 
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  ```
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  ## Training data
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+ - DA (dialectal Arabic)
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  - A collection of dialectal Arabic data described in [our paper](https://arxiv.org/abs/2103.06678).
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  ## Training procedure