Update readme

README.md

@@ -7,4 +7,56 @@ language:
 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.