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--- |
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dataset_info: |
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features: |
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- name: q_id |
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dtype: int64 |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: q_word |
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dtype: string |
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- name: q_topic |
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dtype: string |
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- name: fine_class |
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dtype: string |
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- name: class |
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dtype: string |
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- name: ontology_concept |
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dtype: string |
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- name: ontology_concept2 |
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dtype: string |
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- name: source |
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dtype: string |
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- name: q_src_id |
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dtype: int64 |
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- name: quetion_type |
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dtype: string |
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- name: chapter_name |
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dtype: string |
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- name: chapter_no |
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dtype: int64 |
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- name: verse |
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sequence: string |
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- name: question_en |
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dtype: string |
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- name: answer_en |
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dtype: string |
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- name: q_word_en |
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dtype: string |
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- name: q_topic_en |
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dtype: string |
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- name: fine_class_en |
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dtype: string |
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- name: class_en |
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dtype: string |
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- name: ontology_concept_en |
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dtype: string |
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- name: chapter_name_en |
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dtype: string |
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- name: context |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2226830.0310711367 |
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num_examples: 978 |
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- name: test |
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num_bytes: 557845.9689288634 |
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num_examples: 245 |
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download_size: 1515128 |
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dataset_size: 2784676.0 |
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license: cc-by-4.0 |
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task_categories: |
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- question-answering |
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pretty_name: Quran Question Answer with Context |
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language: |
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- ar |
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- en |
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tags: |
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- islam |
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- quran |
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- arabic |
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--- |
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# Dataset Card for "quran-question-answer-context" |
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## Dataset Summary |
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Translated the original dataset from Arabic to English and added the Surah ayahs to the `context` column. |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("nazimali/quran-question-answer-context") |
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``` |
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```python |
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DatasetDict({ |
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train: Dataset({ |
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features: ['q_id', 'question', 'answer', 'q_word', 'q_topic', 'fine_class', 'class', 'ontology_concept', 'ontology_concept2', 'source', 'q_src_id', 'quetion_type', 'chapter_name', 'chapter_no', 'verse', 'question_en', 'answer_en', 'q_word_en', 'q_topic_en', 'fine_class_en', 'class_en', 'ontology_concept_en', 'chapter_name_en', 'context'], |
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num_rows: 978 |
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}) |
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test: Dataset({ |
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features: ['q_id', 'question', 'answer', 'q_word', 'q_topic', 'fine_class', 'class', 'ontology_concept', 'ontology_concept2', 'source', 'q_src_id', 'quetion_type', 'chapter_name', 'chapter_no', 'verse', 'question_en', 'answer_en', 'q_word_en', 'q_topic_en', 'fine_class_en', 'class_en', 'ontology_concept_en', 'chapter_name_en', 'context'], |
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num_rows: 245 |
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}) |
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}) |
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``` |
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## Translation Info |
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1. Translated the Arabic questions/concept columns to English with [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) |
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2. Used `en-yusufali` translations for ayas [M-AI-C/quran-en-tafssirs](https://huggingface.co/datasets/M-AI-C/quran-en-tafssirs) |
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3. Renamed Surahs with [kheder/quran](https://huggingface.co/datasets/kheder/quran) |
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4. Added the ayahs that helped answer the questions |
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- Split the `ayah` columns string into a list of integers |
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- Concactenated the Surah:Ayah pairs into a sentence to the `context` column |
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Columns with the suffix `_en` contain the translations of the original columns. |
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## TODO |
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The `context` column has some `null` values that needs to be investigated and fixed |
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## Initial Data Collection |
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The original dataset is from **[Annotated Corpus of Arabic Al-Quran Question and Answer](https://archive.researchdata.leeds.ac.uk/464/)** |
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## Licensing Information |
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Original dataset [license](https://archive.researchdata.leeds.ac.uk/464/): **Creative Commons Attribution 4.0 International (CC BY 4.0)** |
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### Contributions |
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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 |
