# Multi-lingual Question Generating Model (mt5-base)
Give the model a passage and it will generate a question about the passage.  

## Trained on the following datasets:

- SQuAD (English)
- TyDiQA-GoldP (Arabic, Bengali, Finnish, Japanese, Indonesian, Kiswahili, Korean, Russian, Telugu, Thai)
- MLQA (Arabic, Chinese, English, German, Hindi, Spanish, Vietnames)
- XQuAD (Arabic, Chinese, German, Greek, Hindi, Russian, Spanish, Thai, Turkish Vietnamese)
- GermanQuAD (German)
- Persian QA (Persian)
- Bengali QA (Bengali)
- Chaii QA (Hindi, Tamil)


There is no guarantee that it will produce a question in the language of the passage, but it usually does.


Model made using the flax summarization script on Cloud TPUs from Google's TPU Research Cloud (TRC)