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---
dataset_info:
  features:
  - name: q_id
    dtype: int64
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: q_word
    dtype: string
  - name: q_topic
    dtype: string
  - name: fine_class
    dtype: string
  - name: class
    dtype: string
  - name: ontology_concept
    dtype: string
  - name: ontology_concept2
    dtype: string
  - name: source
    dtype: string
  - name: q_src_id
    dtype: int64
  - name: quetion_type
    dtype: string
  - name: chapter_name
    dtype: string
  - name: chapter_no
    dtype: int64
  - name: verse
    sequence: string
  - name: question_en
    dtype: string
  - name: answer_en
    dtype: string
  - name: q_word_en
    dtype: string
  - name: q_topic_en
    dtype: string
  - name: fine_class_en
    dtype: string
  - name: class_en
    dtype: string
  - name: ontology_concept_en
    dtype: string
  - name: chapter_name_en
    dtype: string
  - name: context
    dtype: string
  splits:
  - name: train
    num_bytes: 2172733.7563368767
    num_examples: 978
  - name: test
    num_bytes: 544294.2436631235
    num_examples: 245
  download_size: 1478325
  dataset_size: 2717028
license: cc-by-4.0
task_categories:
- question-answering
pretty_name: Quran Question Answer with Context
language:
- ar
- en
tags:
- islam
- quran
- arabic
---
# Dataset Card for "quran-question-answer-context"

## Dataset Summary

Translated the original dataset from Arabic to English and added the Surah ayahs to the `context` column.

## Translation Info

1. Translated Arabic to English with [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en)
2. Added the ayahs that helped answer the questions
  - Split the `ayah` columns string into a list of integers
  - Concactenated the Surah:Ayah pairs into a sentence to the `context` column

## Initial Data Collection

The original dataset is from **[Annotated Corpus of Arabic Al-Quran Question and Answer](https://archive.researchdata.leeds.ac.uk/464/)**    

## Licensing Information

Original dataset [license](https://archive.researchdata.leeds.ac.uk/464/): **Creative Commons Attribution 4.0 International (CC BY 4.0)**

### Contributions

 Original paper authors: Alqahtani, Mohammad and Atwell, Eric (2018) Annotated Corpus of Arabic Al-Quran Question and Answer. University of Leeds. https://doi.org/10.5518/356