Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
Arabic
Size:
10K - 100K
License:
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. |