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task_categories:
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- translation
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---
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# 📘 Qur’an Multilingual Parallel Dataset (`quran_multilingual_parallel`)
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This dataset presents a clean, structurally-aligned multilingual parallel corpus of the Qur’anic text. It is intended for linguistic, computational, and cross-lingual AI applications — not for religious interpretation.
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It contains over **6,200 verse-level alignments** in **53 human languages**, formatted in a machine-friendly `.csv` structure with language-specific translation fields.
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---
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## 🧠 Dataset Highlights
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- 📖 6,236 ayahs (verses)
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- 📚 114 surahs (chapters)
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- 🌍 Translations in 53 languages
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- 🕌 Arabic source text included
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- 🔢 Fully aligned, row-per-verse CSV
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- ⚠️ Missing translations are transparently documented
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---
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## 📁 Files Included
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| File | Description |
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|----------------------------------|-----------------------------------------------------------------------------|
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| `quran_multilingual.csv` | Complete parallel corpus: 6,236 rows × 57 columns |
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| `final_missing_translations.csv` | List of 79 verse-level translation gaps, grouped by language/surah/ayah |
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| `README.md` | This documentation |
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---
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## 🧾 Column Format
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Each row corresponds to a verse (ayah). Columns include:
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| Column | Description |
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|------------------|--------------------------------------------------|
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| `surah_number` | Integer: Surah (chapter) number (1–114) |
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| `surah` | Slugified Surah name (e.g., `al-baqarah`) |
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| `ayah` | Integer: Ayah (verse) number |
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| `arabic` | Original Arabic text of the verse |
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| `{language}` | One column per language, each containing the translation for that ayah |
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---
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## 🌍 Languages Included
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A total of **53** translation languages spanning 8+ language families.
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| No. | Language | Code | CSV Column |
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|-----|--------------|------|----------------|
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| 1 | Albanian | `sq` | `albanian` |
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| 2 | Amharic | `am` | `amharic` |
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| 3 | Azerbaijani | `az` | `azerbaijani` |
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| 4 | Bengali | `bn` | `bengali` |
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| 5 | Bosnian | `bs` | `bosnian` |
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| 6 | Bulgarian | `bg` | `bulgarian` |
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| 7 | Burmese | `my` | `burmese` |
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| 8 | Chinese | `zh` | `chinese` |
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| 9 | Danish | `da` | `danish` |
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| 10 | Dutch | `nl` | `dutch` |
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| 11 | English | `en` | `english` |
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| 12 | Filipino | `tl` | `filipino` |
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| 13 | French | `fr` | `french` |
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| 14 | Fulah | `ff` | `fulah` |
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| 15 | German | `de` | `german` |
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| 16 | Gujarati | `gu` | `gujarati` |
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| 17 | Hausa | `ha` | `hausa` |
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| 18 | Hindi | `hi` | `hindi` |
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| 19 | Indonesian | `id` | `indonesian` |
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| 20 | Italian | `it` | `italian` |
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| 21 | Japanese | `ja` | `japanese` |
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| 22 | Javanese | `jv` | `jawa` |
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| 23 | Kazakh | `kk` | `kazakh` |
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| 24 | Khmer | `km` | `khmer` |
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| 25 | Korean | `ko` | `korean` |
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| 26 | Kurdish | `ku` | `kurdish` |
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| 27 | Kyrgyz | `ky` | `kyrgyz` |
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| 28 | Malay | `ms` | `malay` |
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| 29 | Malayalam | `ml` | `malayalam` |
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| 30 | Norwegian | `no` | `norwegian` |
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| 31 | Pashto | `ps` | `pashto` |
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| 32 | Persian | `fa` | `persian` |
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| 33 | Polish | `pl` | `polish` |
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| 34 | Portuguese | `pt` | `portuguese` |
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| 35 | Punjabi | `pa` | `punjabi` |
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| 36 | Russian | `ru` | `russian` |
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| 37 | Sindhi | `sd` | `sindhi` |
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| 38 | Sinhalese | `si` | `sinhalese` |
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| 39 | Somali | `so` | `somali` |
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| 40 | Spanish | `es` | `spanish` |
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| 41 | Swahili | `sw` | `swahili` |
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| 42 | Swedish | `sv` | `swedish` |
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| 43 | Tajik | `tg` | `tajik` |
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| 44 | Tamil | `ta` | `tamil` |
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| 45 | Tatar | `tt` | `tatar` |
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| 46 | Telugu | `te` | `telugu` |
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| 47 | Thai | `th` | `thai` |
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| 48 | Turkish | `tr` | `turkish` |
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| 49 | Urdu | `ur` | `urdu` |
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| 50 | Uyghur | `ug` | `uyghur` |
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| 51 | Uzbek | `uz` | `uzbek` |
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| 52 | Vietnamese | `vi` | `vietnamese` |
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| 53 | Yoruba | `yo` | `yoruba` |
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---
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## ⚠️ Missing Translation Entries
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Due to incomplete source data from [al-quran.cc](https://www.al-quran.cc/quran-translation/), **79 verse-level translations** were unavailable during scraping. These cells are left blank in `quran_multilingual_parallel.csv`.
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🔎 See: [`final_missing_translations.csv`](./final_missing_translations.csv)
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All ayahs are present in Arabic, and structural alignment is preserved.
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---
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## 🔍 Source and Extraction
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- ✅ Scraped from [https://www.al-quran.cc](https://www.al-quran.cc/quran-translation/)
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- ✅ Verse-by-verse data extracted using `BeautifulSoup` and AJAX loaders
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- ✅ All 114 surahs fully covered
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- ✅ Missing fields revalidated with a final checker
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- ✅ Verses are sorted by `surah_number`, then `ayah`
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---
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## 🪪 Licensing
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- 🔓 Texts: Public Domain where applicable
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- ⚙️ Code: MIT License
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---
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## 📌 Citation
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```bibtex
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@misc{quran_multilingual_parallel_2025,
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title = {Qur’an Multilingual Parallel Dataset},
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author = {freococo},
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year = {2025},
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url = {https://huggingface.co/datasets/freococo/quran_multilingual_parallel}
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}
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