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README.md
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# IT5 Large for Question Answering ⁉️ 🇮🇹
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This repository contains the checkpoint for the [IT5 Large](https://huggingface.co/gsarti/it5-large) model fine-tuned on extractive question answering on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io).
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A comprehensive overview of other released materials is provided in the [gsarti/it5](https://github.com/gsarti/it5) repository. Refer to the paper for additional details concerning the reported scores and the evaluation approach.
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```bibtex
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@article{sarti-nissim-2022-it5,
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title={IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
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author={Sarti, Gabriele and Nissim, Malvina},
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journal={ArXiv preprint
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url={
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year={2022}
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}
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```
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---
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# IT5 Large for Question Answering ⁉️ 🇮🇹
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This repository contains the checkpoint for the [IT5 Large](https://huggingface.co/gsarti/it5-large) model fine-tuned on extractive question answering on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org/abs/2203.03759) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io).
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A comprehensive overview of other released materials is provided in the [gsarti/it5](https://github.com/gsarti/it5) repository. Refer to the paper for additional details concerning the reported scores and the evaluation approach.
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```bibtex
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@article{sarti-nissim-2022-it5,
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title={{IT5}: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
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author={Sarti, Gabriele and Nissim, Malvina},
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journal={ArXiv preprint 2203.03759},
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url={https://arxiv.org/abs/2203.03759},
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year={2022},
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month={mar}
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}
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```
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