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retrieval
question answering
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  <div align="center">
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- <img src="https://github.com/SapienzaNLP/zebra/assets/zebra.png?raw=true" height="150">
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  </div>
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  <div align="center">
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  <div style="display:flex; justify-content: center; align-items: center; flex-direction: row;">
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  <a href="https://2024.emnlp.org/"><img src="https://img.shields.io/badge/EMNLP-2024-4b44ce"></a> &nbsp; &nbsp;
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- <a href="https://arxiv.org/abs/placeholder"><img src="https://img.shields.io/badge/arXiv-placeholder-b31b1b.svg"></a> &nbsp; &nbsp;
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  <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg"></a> &nbsp; &nbsp;
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  <a href="https://huggingface.co/collections/sapienzanlp/zebra-66e3ec50c8ce415ea7572d0e"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Collection-FCD21D"></a> &nbsp; &nbsp;
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  <a href="https://github.com/SapienzaNLP/zebra"><img src="https://img.shields.io/badge/GitHub-Repo-121013?logo=github&logoColor=white"></a> &nbsp; &nbsp;
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  Installation from PyPi
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  ```bash
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- pip install zebra
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  ```
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  Installation from source
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  The data and software are licensed under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).
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  ## Acknowledgements
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- [Future AI Research](https://future-ai-research.it/) and CREATIVE (CRoss-modalunderstanding and gEnerATIon of Visual and tExtual content) for supporting this work.
 
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+ <img src="https://github.com/SapienzaNLP/zebra/blob/master/assets/zebra.png?raw=true" width="100" height="100">
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  </div>
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  <div align="center">
 
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  <div style="display:flex; justify-content: center; align-items: center; flex-direction: row;">
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  <a href="https://2024.emnlp.org/"><img src="https://img.shields.io/badge/EMNLP-2024-4b44ce"></a> &nbsp; &nbsp;
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+ <a href="https://arxiv.org/abs/2410.05077"><img src="https://img.shields.io/badge/arXiv-paper-b31b1b.svg"></a> &nbsp; &nbsp;
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  <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg"></a> &nbsp; &nbsp;
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  <a href="https://huggingface.co/collections/sapienzanlp/zebra-66e3ec50c8ce415ea7572d0e"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Collection-FCD21D"></a> &nbsp; &nbsp;
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  <a href="https://github.com/SapienzaNLP/zebra"><img src="https://img.shields.io/badge/GitHub-Repo-121013?logo=github&logoColor=white"></a> &nbsp; &nbsp;
 
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  Installation from PyPi
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  ```bash
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+ pip install zebra-qa
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  ```
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  Installation from source
 
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  The data and software are licensed under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).
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  ## Acknowledgements
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+ We gratefully acknowledge CREATIVE (CRoss-modalunderstanding and gEnerATIon of Visual and tExtual content) for supporting this work. Simone Conia gratefully acknowledges the support of Future AI Research ([PNRR MUR project PE0000013-FAIR](https://fondazione-fair.it/en/)), which fully funds his fellowship at Sapienza University of Rome since October 2023.