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@@ -33,4 +33,23 @@ Designed to support **long-contextual Answer generation** models and **multi-pas
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  Each sample includes:
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  - `question` (string): The user query
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  - `context` (string): Retrieved passages from Islamic texts
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- - `answer` (string): Ground-truth answer curated by experts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Each sample includes:
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  - `question` (string): The user query
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  - `context` (string): Retrieved passages from Islamic texts
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+ - `answer` (string): Ground-truth answer curated by experts
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+
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+ ## License
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+ This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)** license.
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+ - 🔒 Non-commercial use only
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+ - ✔️ Attribution required
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+ - 🔄 ShareAlike required
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+
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+ Full license text: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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+
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+ ## Citation
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+ If you use this dataset in your research, please cite the following paper:
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+
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+ ```bibtex
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+ @article{qamar2024benchmark,
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+ title={A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text},
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+ author={Qamar, Faiza and Latif, Seemab and Latif, Rabia},
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+ journal={arXiv preprint arXiv:2409.09844},
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+ year={2024}
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+ }