|
--- |
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dataset_info: |
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features: |
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- name: vocalized |
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dtype: string |
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- name: erroneous |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 4494447826 |
|
num_examples: 1460625 |
|
- name: valid |
|
num_bytes: 93024950 |
|
num_examples: 30129 |
|
- name: test |
|
num_bytes: 46293622 |
|
num_examples: 15062 |
|
download_size: 2248929902 |
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dataset_size: 4633766398 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: valid |
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path: data/valid-* |
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- split: test |
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path: data/test-* |
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license: mit |
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task_categories: |
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- text2text-generation |
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language: |
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- ar |
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tags: |
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- Speech-Correction |
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- Diacritics |
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- Vocalized |
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- Arabic |
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- Tashkeel |
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--- |
|
|
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# **Text with Diacritics Correction Dataset** |
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|
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[](https://huggingface.co/datasets/FlouBsy/Text-with-Diacritics-Correction) |
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|
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## **Overview** |
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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**. |
|
|
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### **Key Features** |
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✅ **Preprocessed Arabic text**: Cleaned `vocalized` column by removing non-Arabic characters, symbols, emojis, brackets, and numbers. |
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✅ **Injected realistic errors**: Includes four types of errors that simulate real-world **speech and typing mistakes**. |
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✅ **Large-scale dataset**: Over **1.5 million** text samples for robust training. |
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✅ **Suitable for NLP tasks**: Useful for **text correction, speech recognition, and Arabic NLP research**. |
|
|
|
--- |
|
|
|
## **Dataset Details** |
|
|
|
### **Statistics** |
|
| Split | Samples | |
|
|------------|---------:| |
|
| Train | 1,460,625 | |
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| Validation | 30,129 | |
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| Test | 15,062 | |
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| **Total** | **1,505,816** | |
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|
|
### **Data Format** |
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- **File Type**: Parquet |
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- **Columns**: |
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- `vocalized`: Preprocessed Arabic text |
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- `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** 🖥️ |
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- Mistyped letters based on nearby keyboard keys. |
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- Example: `السلام` → `الستام` (minor keyboard slip). |
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|
|
2. **Ordering Errors** 🔀 |
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- Swapped adjacent letters. |
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- Example: `مرحبا` → `مرحاب` (common typing mistake). |
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|
|
3. **Phonetic Errors** 🎙️ |
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- Replaced letters with phonetically similar ones. |
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- Example: `ن` ↔ `م`, `س` ↔ `ث`. |
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|
|
4. **Diacritic Errors** 🐪 |
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- Altered or removed Arabic diacritics (`Tashkeel`). |
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- Example: `كَتَبَ` → `كَتُبَ`. |
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|
|
These errors mimic **real-world mistakes** in **speech recognition and Arabic typing**, improving model robustness. |
|
|
|
--- |
|
|
|
## **Usage** |
|
|
|
### **Loading the Dataset in Python** |
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```python |
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from datasets import load_dataset |
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|
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dataset = load_dataset("FlouBsy/Text-with-Diacritics-Correction") |
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|
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# Example access |
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print(dataset['train'][0]) # Show first sample |
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``` |
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|
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## Collaborators |
|
|
|
- **[Basma M.](https://huggingface.co/FlouBsy)** (Main Contributor) |
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- **[Selsabeel A.](https://huggingface.co/Selsabeel)** |
|
|
|
## Citations |
|
|
|
``` |
|
@misc{arabic_tashkeel_dataset, |
|
author = {Abdou}, |
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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} |
|
} |
|
``` |
