Egyptian Arabic Slang ↔ Formal Arabic Dataset

Dataset Overview

This dataset contains 18,250 parallel sentence pairs mapping Egyptian Arabic dialect/slang to Modern Standard Arabic (MSA).

It is designed for Arabic NLP research on dialect normalization, slang understanding, and machine translation between informal and formal Arabic.

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Task Objectives

This dataset can be used for:

• Dialect-to-Modern Standard Arabic translation
• Arabic text normalization
• Dialect identification
• Translation quality verification
• Paraphrase generation

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Dataset Structure

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Dataset Statistics

Suggested Split

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Examples

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Usage

Load with Hugging Face Datasets

from datasets import load_dataset

dataset = load_dataset(
    "AdhamAshraf/egyptian-arabic-slang-formal"
)

train_data = dataset["train"]

print(train_data[0])

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Load CSV Locally

import pandas as pd

df = pd.read_csv("egyptian_slang_formal.csv")

print(df.head())

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Preprocessing

The dataset was cleaned using Arabic-specific normalization techniques:

• Removal of diacritics (tashkeel)
• Arabic punctuation normalization
• Whitespace standardization
• Removal of empty rows
• Stripping of surrounding quotes

Rows containing mostly English text were flagged but not removed.

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Source and Derivation

This dataset is derived from:

Abdalrahmankamel/Egyption_2_English

The original dataset contained Egyptian Arabic paired with English translations.
This version repurposes the Egyptian Arabic content for Dialect → Modern Standard Arabic conversion.

Key Modifications

• Removed English translation column
• Added Modern Standard Arabic translations
• Applied Arabic normalization and cleaning
• Reformatted for NLP dialect-to-MSA tasks

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Related Project

This dataset is part of the SlangGPT Arabic NLP project:

• GitHub: https://github.com/adhamashraf7788/SlangGPT
• Hugging Face: https://huggingface.co/AdhamAshraf

SlangGPT focuses on Egyptian Arabic slang understanding, normalization, and dialect-to-MSA translation.

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License

This dataset is released under the MIT License.

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Citation

If you use this dataset, please cite:

@dataset{egyptian_arabic_slang_formal_2026,
  author    = {AdhamAshraf},
  title     = {Egyptian Arabic Slang to Formal Arabic Dataset},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/AdhamAshraf/egyptian-arabic-slang-formal},
  version   = {1.0.0}
}

@dataset{egyptian_english_original,
  author    = {Abdalrahmankamel},
  title     = {Egyption_2_English},
  year      = {2024},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Abdalrahmankamel/Egyption_2_English}
}

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Acknowledgments

• Built as part of the SlangGPT Arabic NLP project
• Inspired by research on dialect-aware language modeling
• Thanks to the Arabic NLP open-source community
• Special thanks to Abdalrahmankamel for the original dataset