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  # Dataset Card for 101 Billion Arabic Words Dataset
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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  ## Dataset Details
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  ### Dataset Description
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  The 101 Billion Arabic Words Dataset is curated by the Clusterlab team and consists of 101 billion words extracted and cleaned from web content, specifically targeting Arabic text. This dataset is intended for use in natural language processing applications, particularly in training and fine-tuning Large Language Models (LLMs) capable of understanding and generating Arabic text.
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  - **Curated by:** Clusterlab Team
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** Modern Standard Arabic
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  - **License:** Apache 2.0
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- ### Dataset Sources [optional]
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  - **Repository:** [HuggingFace Dataset Page](https://huggingface.co/datasets/ClusterlabAi/101_billion_arabic_words_dataset)
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  ## Dataset Structure
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- [More Information Needed]
 
 
 
 
 
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  ## Dataset Creation
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  The data was produced by web content creators worldwide and collected through the Common Crawl project, which provides an extensive archive of the web's content.
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- ### Annotations [optional]
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- [More Information Needed]
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  ## Bias, Risks, and Limitations
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  The dataset primarily consists of web text that may include biases present in online content. Users should be aware of these potential biases when training models with this dataset. Further research and adjustment may be necessary to mitigate these biases for specific applications.
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  ### Recommendations
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  Users should critically evaluate the dataset for any potential biases or misrepresentations of the Arabic language and culture due to its web-derived nature.
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- ## Citation [optional]
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- **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- [More Information Needed]
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- ## Glossary [optional]
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- ## More Information [optional]
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- [More Information Needed]
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- ## Dataset Card Authors [optional]
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- ## Dataset Card Contact
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  # Dataset Card for 101 Billion Arabic Words Dataset
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  ## Dataset Details
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  ### Dataset Description
 
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  The 101 Billion Arabic Words Dataset is curated by the Clusterlab team and consists of 101 billion words extracted and cleaned from web content, specifically targeting Arabic text. This dataset is intended for use in natural language processing applications, particularly in training and fine-tuning Large Language Models (LLMs) capable of understanding and generating Arabic text.
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  - **Curated by:** Clusterlab Team
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+ - **Language(s) (NLP):** Mix of Modern Standard Arabic (MSA) & Arabic Dialects
 
 
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  - **License:** Apache 2.0
 
 
 
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  - **Repository:** [HuggingFace Dataset Page](https://huggingface.co/datasets/ClusterlabAi/101_billion_arabic_words_dataset)
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+ - **Paper [101 Billion Arabic Words Dataset]*(https://arxiv.org/abs/2405.01590):** [Published on Arxiv]
 
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  ## Uses
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  ## Dataset Structure
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+ ```json
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+ {
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+ "text": "content...",
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+ "date": "YYYY-MM-DDTHH:MM:SSZ",
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+ "url": "URL"
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+ }
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  ## Dataset Creation
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  The data was produced by web content creators worldwide and collected through the Common Crawl project, which provides an extensive archive of the web's content.
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  ## Bias, Risks, and Limitations
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  The dataset primarily consists of web text that may include biases present in online content. Users should be aware of these potential biases when training models with this dataset. Further research and adjustment may be necessary to mitigate these biases for specific applications.
 
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  ### Recommendations
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  Users should critically evaluate the dataset for any potential biases or misrepresentations of the Arabic language and culture due to its web-derived nature.