Datasets:
| 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: 2717028.0 | |
| 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](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 |