metadata
license: apache-2.0
task_categories:
- fill-mask
size_categories:
- 1K<n<10K
Bangla Quran Punctuation Dataset
A high-quality dataset for Bangla punctuation restoration, derived exclusively from the Bangla translation of the Holy Quran.
Dataset Description
This dataset is designed for training models on punctuation restoration in Bangla text. Each sample consists of:
- human: Bangla text with all punctuation removed
- gpt: The original Bangla text with correct punctuation (। , ; : - ! ?)
All samples are derived from the Bangla translation of the Quran (source: zusmani/the-holy-quran).
Long verses were intelligently split using a smart chunking algorithm that:
- Cuts only at sentence boundaries (। ! ?)
- Ensures every sample ≤ 256 characters
- Preserves complete sentences and all original content
No data loss — every word from the Quran is included.
Statistics
- Total samples: 6846 (after smart chunking)
- Max length: 256 characters
- Min length: >20 characters
- Average length: ~130 characters
- All samples contain at least one punctuation mark
Example
{
"conversations": [
{
"from": "human",
"value": "আল্লাহর নামে শুরু করছি যিনি পরম করুণাময় অতি দয়ালু"
},
{
"from": "gpt",
"value": "আল্লাহর নামে শুরু করছি যিনি পরম করুণাময়, অতি দয়ালু।"
}
],
"source": "holy_quran_bangla",
"score": 10.0
}
Usage
Ideal for fine-tuning models on:
- Punctuation restoration
- Sentence boundary detection
- Bangla NLP in low-resource settings
@dataset{bangla_quran_punctuation_2025,
title = {Bangla Quran Punctuation Restoration Dataset},
author = {H.M. MEHEDI HASAN(Badhon)},
year = {2025},
publisher = {Hugging Face},
version = {1.0},
url = {https://huggingface.co/datasets/Badhon/BanglaQuranPunctuationDataset}
}