Datasets:
license: apache-2.0
task_categories:
- question-answering
language:
- ar
pretty_name: 'Tibyan For Holy Quran '
size_categories:
- 10K<n<100K
Model Details
Developed by: Prince Sultan University - Riotu Lab
This dataset is intended for use in natural language processing tasks, particularly for understanding classical Arabic and religious texts, including text analysis, language modeling, and thematic studies. Primary Users: Researchers and developers in the field of natural language processing, religious studies, and AI, specifically those working with classical Arabic texts. Out-of-scope Use Cases: This dataset is not intended for predictive modeling that could lead to ethical concerns, such as surveillance or profiling based on religious texts. Model/Data Specifications
Format: Json Dataset Size: Contains more than 57K rows Language: Arabic
Dataset Structure
Fields:
- sura_number: Integer representing the Surah number in the Quran.-
- ya_number: Integer representing the Ayah number in the Surah.
- tafseers: Dictionary mapping Tafseer sources to their text for each Ayah:
tafsirs = { 1: "التفسير الميسر", 2: "تفسير الجلالين", 3:"تفسير ابن كثير", 4: "تفسير الوسيط لطنطاوي", 5: "تفسير البغوي", 6: "تفسير القرطبي", 7: "تفسير الطبري", }
How to Use
python Copy code from datasets import load_dataset
Load the dataset
dataset = load_dataset("quran_tafseer")
Access a specific sample
sample = dataset['train'][0]
Content: The dataset contains religious texts which should be handled with respect and sensitivity. Bias and Fairness: Users of this dataset should be aware of the intrinsic biases in religious texts and interpretations.
Data Quality: The quality of the dataset depends on the accuracy of the Tafseers and their translations. Contextual Use: It is recommended to use this dataset in the context of religious studies and NLP research, considering the cultural and religious significance of the content.