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---
dataset_info:
features:
- name: vocalized
dtype: string
- name: both_erroneous
dtype: string
- name: speech_erroneous
dtype: string
- name: typing_erroneous
dtype: string
splits:
- name: train
num_bytes: 8981728852
num_examples: 1460625
- name: valid
num_bytes: 185900858
num_examples: 30129
- name: test
num_bytes: 92513862
num_examples: 15062
download_size: 4547600730
dataset_size: 9260143572
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
license: mit
task_categories:
- text2text-generation
language:
- ar
tags:
- Speech-Correction
- Diacritics
- Vocalized
- Arabic
- Tashkeel
---
# **Text with Diacritics Correction Dataset**
[](https://huggingface.co/datasets/FlouBsy/Text-with-Diacritics-Correction)
## **Overview**
This dataset is an **Arabic dataset** derived from [Abdou/arabic-tashkeel-dataset](https://huggingface.co/datasets/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**.
---
## **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
---
## **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.
---
## **Usage**
### **Loading the Dataset in Python**
```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.](https://huggingface.co/FlouBsy)** (Main Contributor)
- **[Selsabeel A.](https://huggingface.co/Selsabeel)**
## 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}
}
``` |