---
language:
- my
- ar
- en
license: cc-by-nc-4.0
pretty_name: Quran Burmese Word Alignment
size_categories:
- 100K<n<1M
source_datasets:
- original
annotations_creators:
- expert-generated
task_categories:
- translation
- text-generation
tags:
- quran
- quranic-arabic
- myanmar
- burmese
- arabic
- english
- word-alignment
- low-resource-language
- islamic-studies
---
# Quran Burmese Word Alignment Dataset

**Creator:** freococo  
**License:** CC BY-NC 4.0  
**Language:** Burmese (Myanmar), Arabic  
**Format:** JSONL (one word per line)  
**Current Version:** v10 (Surah 1–114)

---

## 📖 Overview

This dataset provides a **word-by-word alignment** between a **Burmese (Myanmar) translation of the Quran** and the **original Arabic Quranic text**.

Each Burmese word is represented as a single JSON object and is optionally linked to one or more corresponding Arabic word(s), with explicit annotation of whether the linkage is **direct, implicit, or multi-word**.

The dataset is designed for:
- Quranic linguistics research
- Low-resource language NLP (Burmese)
- Word alignment & cross-lingual modeling
- Educational and digital Quran projects

---

## 📦 Dataset Contents

| File | Description |
|------|-------------|
| `q_v10.jsonl` | Complete Quran (Surah 1–114), word-by-word Burmese–Arabic alignment |

**Statistics (v10):**
- Surahs: 114
- Total verses: **6,236**
- Total words: **141,774**
- Format: JSONL (1 word = 1 line)

---

## 🧪 Usage Example

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset(
    "freococo/quran-burmese-word-alignment",
    split="train"
)

# Inspect dataset
print(dataset)
print("Columns:", dataset.column_names)

# Inspect a single word entry
example = dataset[0]
for k, v in example.items():
    print(f"{k}: {v}")
```

## 🧱 Data Schema (Canonical)

Each line is a single JSON object with the following fields:

```json
{
  "word_uid": "2:286:99",
  "word_text": "ကူညီတော်မူပါ",
  "word_pos": "VERB",
  "word_meaning": "grant us victory / help us",
  "ar_link_word": "فانصرنا",
  "ar_link_type": "multi",
  "rating": 5
}
```
## 📐 Field Definitions

Each line in the dataset represents **one Burmese word** aligned to the Quran.  
The dataset follows a strict JSONL (one-object-per-line) format.

| Field | Description |
|------|-------------|
| `word_uid` | Unique identifier in the format `Surah:Verse:WordIndex` |
| `word_text` | Exact Burmese word as it appears in the verse |
| `word_pos` | Part-of-speech tag (`NOUN`, `VERB`, `ADJ`, `PRON`, `PARTICLE`, `PROPN`, `UNKNOWN`) |
| `word_meaning` | Concise English meaning of the Burmese word |
| `ar_link_word` | Arabic word(s) from the original Quran (tashkīl removed), or `null` |
| `ar_link_type` | Arabic linkage type: `direct`, `implicit`, or `multi` |
| `rating` | Confidence / quality score from 1 (low) to 5 (high) |

---

## 🔗 Arabic Linking Philosophy

Arabic alignment in this dataset is **semantic and meaning-based**, not mechanically forced.

Linking types are defined as:

- **`direct`** → Clear one-to-one correspondence with a specific Arabic word  
- **`implicit`** → Meaning inferred from surrounding Arabic context  
- **`multi`** → One Burmese word corresponds to multiple Arabic words  
- **`null`** → No meaningful Arabic linkage exists

**Important principles:**

- ❌ Arabic words are **never invented**
- ❌ Alignment is **never forced**
- ✅ All links reflect linguistic and semantic judgment

This design supports **education, NLP modeling, and alignment research** rather than rigid literalism.

---

## 📏 Annotation Rules

The dataset follows strict, non-negotiable annotation rules:

- Every Burmese word is included (**no skipped words**)
- One word corresponds to **one JSONL line**
- Word indices reset at the beginning of each verse
- Arabic tashkīl (diacritics) are removed for normalization
- `word_pos` and `word_meaning` are always provided  
  - Use `UNKNOWN` only when classification is genuinely uncertain

These rules ensure consistency, auditability, and model safety.

---

## 🔄 Versioning Plan

| Version | Coverage |
|--------|----------|
| `v1` | Surah 1–2 |
| `v10` | **Complete Quran (Surah 1–114)** |

All future releases will maintain backward compatibility.

---

## 📖 Source & Translation Attribution

The original Burmese Quran translation used as the source text in this dataset:

- **Printed by:** King Fahd Complex for the Printing of the Holy Quran (Saudi Arabia)  
- **Translated by:** Burmese Muslim Scholars Translation Committee  
- **Translation approach:** Meaning-based, classical Sunni scholarship tradition

This dataset does **not modify** the original translation text; it provides **word-level annotation and alignment** for research and educational purposes.

---

## ⚖️ License

This dataset is released under the  
**Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0)** license.

You are free to:
- Share
- Adapt
- Build upon the dataset

Under the following conditions:
- Attribution is required
- Commercial use is **not permitted**

---

## 🙏 Acknowledgment

This dataset was created to support:

- Burmese Islamic education
- Open linguistic and Quranic research
- Ethical, non-commercial AI development

---

## 🚧 Notes

- Translations reflect **meaning-based Burmese renderings**
- Word segmentation follows Burmese grammatical conventions
- Arabic alignment is designed for **learning and modeling**, not legal interpretation

---