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metadata
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: other
task_categories:
  - question-answering
pretty_name: Quran Question Answer with Context

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
  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

Licensing Information

Original dataset license: 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