Datasets:
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README.md
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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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### 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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