metadata

license: mit
task_categories:
  - question-answering
  - translation
  - text-generation
  - fill-mask
language:
  - en
  - ar
pretty_name: Arabic_Egypt_English_World_Facts
size_categories:
  - 10K<n<100K

🌍 Version (v2.0) World Facts in English, Arabic & Egyptian Arabic (Categorized)

The World Facts General Knowledge Dataset (v2.0) is a high-quality, human-reviewed Q&A resource by Miscovery. It features general facts categorized across 50+ knowledge domains, provided in three languages:

🌍 English
🇸🇦 Modern Standard Arabic (MSA)
🇪🇬 Egyptian Arabic (Dialect)

Each entry includes:

The question and answer
A category and sub-category
Language tag (en, ar, ar_eg)
Basic metadata: question & answer word/character counts

✅ Main Features

✅ Human-reviewed, 99% clean and high-quality data
🌐 Multilingual support (EN, AR, AR_EG)
🗂️ Over 50 categories including History, Science, Technology, Literature, Politics, and more
🧠 LLM-generated and manually refined for clarity and accuracy
📚 Ideal for NLP tasks: translation, classification, cross-lingual QA, cultural analysis

📁 Data Format

Each record follows this structure:

en_question, ar_question, ar_eg_question, en_answer, ar_answer, ar_eg_answer, category, sub_category, en_q_char, en_a_char, en_q_word, en_a_word, ar_q_char, ar_a_char, ar_q_word, ar_a_word, ar_eg_q_char, ar_eg_a_char, ar_eg_q_word, ar_eg_a_word

🔓 License & Citation

MIT License

For any suggestions or contributions, feel free to reach out to Miscovery.