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@@ -108,6 +108,7 @@ configs:
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  path: original/test-*
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  ---
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  # PersianQA: a dataset for Persian Question Answering
 
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  # original:
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  Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in the passage (the context) from which the questioner proposed the question. Much like the SQuAD2.0 dataset, the impossible or unanswerable questions can be utilized to create a system which "knows that it doesn't know the answer". On top of that, the dataset has 900 test data available. Moreover, the first models trained on the dataset, Transformers, are available. All the crowd workers of the dataset are native Persian speakers. Also, it worth mentioning that the contexts are collected from all categories of the Wiki (Historical, Religious, Geography, Science, etc.) At the moment, each context has 7 pairs of questions with one answer and 3 impossible questions.
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  # answers:
 
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  path: original/test-*
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  ---
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  # PersianQA: a dataset for Persian Question Answering
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+ https://huggingface.co/datasets/SajjadAyoubi/persian_qa
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  # original:
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  Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia. The crowd-sourced dataset consists of more than 9,000 entries. Each entry can be either an impossible to answer or a question with one or more answers spanning in the passage (the context) from which the questioner proposed the question. Much like the SQuAD2.0 dataset, the impossible or unanswerable questions can be utilized to create a system which "knows that it doesn't know the answer". On top of that, the dataset has 900 test data available. Moreover, the first models trained on the dataset, Transformers, are available. All the crowd workers of the dataset are native Persian speakers. Also, it worth mentioning that the contexts are collected from all categories of the Wiki (Historical, Religious, Geography, Science, etc.) At the moment, each context has 7 pairs of questions with one answer and 3 impossible questions.
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  # answers: