Create README.md

README.md

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+---
+# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
+{}
+---
+
+# Dataset Card for Arabic Characters
+
+<!-- Provide a quick summary of the dataset. -->
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+This dataset contains 70,000 Arabic handwritten digits, written by 700 participants. It is intended for Arabic digit recognition tasks using machine learning. The dataset is split into a training set of 60,000 images and a test set of 10,000 images, covering 10 Arabic digits (labeled 0–9). Each digit was written ten times by each writer. The images are in grayscale, 28×28 pixels, and were collected from different institutions to ensure diversity in handwriting styles. The dataset is derived from the MADBase database.
+
+
+- **License:** Open Database License (ODbL)
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** https://github.com/mloey/Arabic-Handwritten-Digits-Dataset
+- **Paper:** El-Sawy, A., El-Bakry, H., & Loey, M. (2017). CNN for handwritten arabic digits recognition based on LeNet-5. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 2 (pp. 566-575). Springer International Publishing.
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+Total images: 70,000
+
+Train: 60,000 images (85.7%)
+
+Test: 10,000 images (14.3%)
+
+Classes (labels): 10 (Arabic digits), labeled 0–9
+
+Image specs: PNG format, 28×28 pixels, grayscale
+
+## Example Usage
+Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
+```
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("randall-lab/arabic-digits", split="train", trust_remote_code=True)
+# dataset = load_dataset("randall-lab/arabic-digits", split="test", trust_remote_code=True)
+
+# Access a sample from the training set
+example = dataset["train"][0]
+image = example["image"]
+label = example["label"]
+
+image.show()  # Display the image
+print(f"Label: {label}")
+```
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+@inproceedings{el2017cnn,
+
+  title={CNN for handwritten arabic digits recognition based on LeNet-5},
+  
+  author={El-Sawy, Ahmed and El-Bakry, Hazem and Loey, Mohamed},
+  
+  booktitle={Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 2},
+  
+  pages={566--575},
+  
+  year={2017},
+  
+  organization={Springer}
+  
+}