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Update ReadMe with dataset info

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- Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Multi-lingual Question Generating Model (mt5-base)
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+ Give the model a passage and it will generate a question about the passage.
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+ ## Trained on the following datasets:
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+ - SQuAD (English)
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+ - TyDiQA-GoldP (Arabic, Bengali, Finnish, Japanese, Indonesian, Kiswahili, Korean, Russian, Telugu, Thai)
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+ - MLQA (Arabic, Chinese, English, German, Hindi, Spanish, Vietnames)
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+ - XQuAD (Arabic, Chinese, German, Greek, Hindi, Russian, Spanish, Thai, Turkish Vietnamese)
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+ - GermanQuAD (German)
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+ - Persian QA (Persian)
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+ - Bengali QA (Bengali)
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+ - Chaii QA (Hindi, Tamil)
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+ There is no guarantee that it will produce a question in the language of the passage, but it usually does.
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+ Model made using the flax summarization script on Cloud TPUs from Google's TPU Research Cloud (TRC)