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@@ -94,16 +94,11 @@ 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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-
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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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  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', 'answer_en', 'class_en', 'fine_class_en', 'ontology_concept2_en', 'ontology_concept_en', 'q_topic_en', 'q_word_en', 'question_en', 'chapter_name_en', 'verse_list', 'context', 'context_data', 'context_missing_verses'],
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+ num_rows: 1224
 
 
 
 
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  })
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  })
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  ```