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@@ -45,8 +45,6 @@ Syntactic Transformed Version of Farsi QA datasets to make fluent responses from
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  - [Contributions](#contributions)
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  ## Dataset Description
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- Generating fluent responses has always been challenging for the question-answering task, especially in low-resource languages like Farsi. In recent years there were some efforts for enhancing the size of datasets in Farsi.
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  - **Homepage:** [Sharif-SLPL](https://github.com/Sharif-SLPL)
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  - **Repository:** [SynTran-fa](https://github.com/agp-internship/syntran-fa)
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  ### Dataset Summary
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- [More Information Needed]
 
 
 
 
 
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  ### Supported Tasks and Leaderboards
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  - [Contributions](#contributions)
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  ## Dataset Description
 
 
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  - **Homepage:** [Sharif-SLPL](https://github.com/Sharif-SLPL)
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  - **Repository:** [SynTran-fa](https://github.com/agp-internship/syntran-fa)
 
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  ### Dataset Summary
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+ Generating fluent responses has always been challenging for the question-answering task, especially in low-resource languages like Farsi. In recent years there were some efforts for enhancing the size of datasets in Farsi. Syntran-fa is a question-answering dataset that accumulates former Farsi QA datasets short answers and proposes a complete fluent answer for each pair of (question, short_answer).
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+ This dataset contains near 50,000 indices of question and answers. The dataset that has been used as our sources were as follows:
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+ + QA_DATASET1
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+ + QA_DATASET2
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+ + ...
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  ### Supported Tasks and Leaderboards
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