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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- text-generation |
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- text2text-generation |
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pipeline_tag: text2text-generation |
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widget: |
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- text: "Generate the question based on the answer: boxing [X_SEP] A bolo punch is a punch used in martial arts . A hook is a punch in boxing ." |
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example_title: "Example1" |
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- text: "Generate the question based on the answer: Arthur 's Magazine [X_SEP] Arthur 's Magazine ( 1844–1846 ) was an American literary periodical published in Philadelphia in the 19th century . First for Women is a woman 's magazine published by Bauer Media Group in the USA ." |
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example_title: "Example2" |
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--- |
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# MTL-question-generation |
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The MTL-question-generation model was proposed in [**MVP: Multi-task Supervised Pre-training for Natural Language Generation**](https://arxiv.org/abs/2206.12131) by Tianyi Tang, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen. |
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The detailed information and instructions can be found [https://github.com/RUCAIBox/MVP](https://github.com/RUCAIBox/MVP). |
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## Model Description |
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MTL-question-generation is supervised pre-trained using a mixture of labeled question generation datasets. It is a variant (Single) of our main [MVP](https://huggingface.co/RUCAIBox/mvp) model. It follows a standard Transformer encoder-decoder architecture. |
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MTL-question-generation is specially designed for question generation tasks, such as SQuAD and CoQA. |
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## Example |
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```python |
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>>> from transformers import MvpTokenizer, MvpForConditionalGeneration |
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>>> tokenizer = MvpTokenizer.from_pretrained("RUCAIBox/mvp") |
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>>> model = MvpForConditionalGeneration.from_pretrained("RUCAIBox/mtl-question-generation") |
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>>> inputs = tokenizer( |
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... "Generate the question based on the answer: boxing [X_SEP] A bolo punch is a punch used in martial arts . A hook is a punch in boxing .", |
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... return_tensors="pt", |
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... ) |
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>>> generated_ids = model.generate(**inputs) |
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>>> tokenizer.batch_decode(generated_ids, skip_special_tokens=True) |
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['A bolo punch and a hook are both punches used in what sport?] |
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``` |
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## Related Models |
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**MVP**: [https://huggingface.co/RUCAIBox/mvp](https://huggingface.co/RUCAIBox/mvp). |
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**Prompt-based models**: |
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- MVP-multi-task: [https://huggingface.co/RUCAIBox/mvp-multi-task](https://huggingface.co/RUCAIBox/mvp-multi-task). |
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- MVP-summarization: [https://huggingface.co/RUCAIBox/mvp-summarization](https://huggingface.co/RUCAIBox/mvp-summarization). |
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- MVP-open-dialog: [https://huggingface.co/RUCAIBox/mvp-open-dialog](https://huggingface.co/RUCAIBox/mvp-open-dialog). |
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- MVP-data-to-text: [https://huggingface.co/RUCAIBox/mvp-data-to-text](https://huggingface.co/RUCAIBox/mvp-data-to-text). |
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- MVP-story: [https://huggingface.co/RUCAIBox/mvp-story](https://huggingface.co/RUCAIBox/mvp-story). |
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- MVP-question-answering: [https://huggingface.co/RUCAIBox/mvp-question-answering](https://huggingface.co/RUCAIBox/mvp-question-answering). |
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- MVP-question-generation: [https://huggingface.co/RUCAIBox/mvp-question-generation](https://huggingface.co/RUCAIBox/mvp-question-generation). |
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- MVP-task-dialog: [https://huggingface.co/RUCAIBox/mvp-task-dialog](https://huggingface.co/RUCAIBox/mvp-task-dialog). |
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**Multi-task models**: |
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- MTL-summarization: [https://huggingface.co/RUCAIBox/mtl-summarization](https://huggingface.co/RUCAIBox/mtl-summarization). |
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- MTL-open-dialog: [https://huggingface.co/RUCAIBox/mtl-open-dialog](https://huggingface.co/RUCAIBox/mtl-open-dialog). |
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- MTL-data-to-text: [https://huggingface.co/RUCAIBox/mtl-data-to-text](https://huggingface.co/RUCAIBox/mtl-data-to-text). |
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- MTL-story: [https://huggingface.co/RUCAIBox/mtl-story](https://huggingface.co/RUCAIBox/mtl-story). |
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- MTL-question-answering: [https://huggingface.co/RUCAIBox/mtl-question-answering](https://huggingface.co/RUCAIBox/mtl-question-answering). |
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- MTL-question-generation: [https://huggingface.co/RUCAIBox/mtl-question-generation](https://huggingface.co/RUCAIBox/mtl-question-generation). |
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- MTL-task-dialog: [https://huggingface.co/RUCAIBox/mtl-task-dialog](https://huggingface.co/RUCAIBox/mtl-task-dialog). |
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## Citation |
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```bibtex |
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@article{tang2022mvp, |
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title={MVP: Multi-task Supervised Pre-training for Natural Language Generation}, |
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author={Tang, Tianyi and Li, Junyi and Zhao, Wayne Xin and Wen, Ji-Rong}, |
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journal={arXiv preprint arXiv:2206.12131}, |
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year={2022}, |
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url={https://arxiv.org/abs/2206.12131}, |
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} |
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``` |
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