| # 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) |