Update README.md

README.md

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+# Dataset Card for 101 Billion Arabic Words Dataset
+
+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).
+
+## Dataset Details
+
+### Dataset Description
+
+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.
+
+- **Curated by:** Clusterlab Team
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Language(s) (NLP):** Modern Standard Arabic
+- **License:** Apache 2.0
+
+### Dataset Sources [optional]
+
+- **Repository:** [HuggingFace Dataset Page](https://huggingface.co/datasets/ClusterlabAi/101_billion_arabic_words_dataset)
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+### Direct Use
+
+The dataset is suitable for training and fine-tuning models that perform a variety of NLP tasks in Arabic, including text classification, sentiment analysis, and machine translation. Its vast size and comprehensive coverage of Arabic text make it a valuable resource for developing robust language models.
+
+### Out-of-Scope Use
+
+The dataset is not intended for uses that require personal or sensitive data as it consists of general web text. Uses requiring fine-grained dialectal understanding or specific cultural nuances without further processing and adaptation might find limitations in this dataset.
+
+## Dataset Structure
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created to address the significant lack of large-scale, high-quality datasets for the Arabic language in NLP research and application development. It aims to provide a robust foundation for developing more accurate and efficient Arabic language models.
+
+### Source Data
+
+#### Data Collection and Processing
+
+Data was collected from the Common Crawl archive, focusing on Arabic content within a specified time frame. The data underwent extensive cleaning and deduplication processes to ensure quality and relevance.
+
+#### Who are the source data producers?
+
+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.
+
+### Annotations [optional]
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+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.
+
+### Recommendations
+
+Users should critically evaluate the dataset for any potential biases or misrepresentations of the Arabic language and culture due to its web-derived nature.
+
+## Citation [optional]
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
+
+[More Information Needed]
+
+## Dataset Card Contact
+
+[More Information Needed]