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 16,800 Arabic handwritten characters, written by 60 participants. It is intended for Arabic character recognition tasks using machine learning. The dataset is split into a training set of 13,440 images and a test set of 3,360 images, with 28 Arabic characters (labeled 0–27). Each image is 32×32 pixels in grayscale, scanned at 300 dpi and preprocessed. The original source is the Arabic Handwritten Characters Dataset.
+
+
+- **License:** Open Database License (ODbL)
+
+### Dataset Sources
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** https://github.com/mloey/Arabic-Handwritten-Characters-Dataset
+- **Paper:** El-Sawy, Ahmed, Loey, Mohamed, & El-Bakry, Hazem (2017). Arabic handwritten characters recognition using convolutional neural network. WSEAS Transactions on Computer Research, 5, 11–19.
+
+## 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: 16,800
+
+Train: 13,440 images (80%)
+
+Test: 3,360 images (20%)
+
+Classes (labels): 28 (Arabic letters), labeled 0–27
+
+Image specs: PNG format, 32×32 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 (replace "username_or_org/arabic-characters" with the actual repo)
+dataset = load_dataset("randall-lab/arabic-characters", split="train", trust_remote_code=True)
+# dataset = load_dataset("randall-lab/arabic-characters", 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:**
+
+@article{el2017arabic,
+  title={Arabic handwritten characters recognition using convolutional neural network},
+  author={El-Sawy, Ahmed and Loey, Mohamed and El-Bakry, Hazem},
+  journal={WSEAS Transactions on Computer Research},
+  volume={5},
+  pages={11--19},
+  year={2017}
+}
+
+**APA:**
+
+El-Sawy, A., Loey, M., & El-Bakry, H. (2017). Arabic handwritten characters recognition using convolutional neural network. WSEAS Transactions on Computer Research, 5, 11–19.
+