Basma2423/Text-with-Diacritics-Correction

Text with Diacritics Correction Dataset

Overview

This dataset is an Arabic dataset derived from Abdou/arabic-tashkeel-dataset, with additional preprocessing and error injection to help train models for speech and typing correction.

Key Features

✅ Preprocessed Arabic text: Cleaned vocalized column by removing non-Arabic characters, symbols, emojis, brackets, and numbers.
✅ Injected realistic errors: Includes four types of errors that simulate real-world speech and typing mistakes.
✅ Large-scale dataset: Over 1.5 million text samples for robust training.
✅ Suitable for NLP tasks: Useful for text correction, speech recognition, and Arabic NLP research.

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Dataset Details

Statistics

Split	Samples
Train	1,460,625
Validation	30,129
Test	15,062
Total	1,505,816

Data Format

• File Type: Parquet
• Columns:
  • vocalized: Preprocessed Arabic text
  • erroneous: The same text with injected errors

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Error Injection Details

We introduced four types of common Arabic text errors to enhance the dataset’s usability for speech and typing correction:

1. Keyboard Errors 🖥️

   • Mistyped letters based on nearby keyboard keys.
   • Example: السلام → الستام (minor keyboard slip).

2. Ordering Errors 🔀

   • Swapped adjacent letters.
   • Example: مرحبا → مرحاب (common typing mistake).

3. Phonetic Errors 🎙️

   • Replaced letters with phonetically similar ones.
   • Example: ن ↔ م, س ↔ ث.

4. Diacritic Errors 🐪

   • Altered or removed Arabic diacritics (Tashkeel).
   • Example: كَتَبَ → كَتُبَ.

These errors mimic real-world mistakes in speech recognition and Arabic typing, improving model robustness.

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Usage

Loading the Dataset in Python

from datasets import load_dataset

dataset = load_dataset("FlouBsy/Text-with-Diacritics-Correction")

# Example access
print(dataset['train'][0]) # Show first sample

Collaborators

• Basma M. (Main Contributor)
• Selsabeel A.

Citations

@misc{arabic_tashkeel_dataset,
  author = {Abdou},
  title = {{Arabic Tashkeel Dataset}},
  year = {2024},
  url = {https://huggingface.co/datasets/Abdou/arabic-tashkeel-dataset}
}

@misc{Text-with-Diacritics-Correction,
  author = {Basma M., Selsabeel A.},
  title = {{Arabic Speech & Typing Errors with Diacritics Dataset}},
  year = {2025},
  url = {https://huggingface.co/datasets/FlouBsy/Text-with-Diacritics-Correction}
}