| # PixT3: Pixel-based Table-To-Text Generation | |
| This repository contains code and datasets for the ACL 2024 paper [PixT3: Pixel-based Table-To-Text Generation](https://aclanthology.org/2024.acl-long.364/). | |
| We release PixT3 model checkpoints for the TControl, LControl, and OpenE settings as well as | |
| ToTTo, Controlled Logic2Text, and SLC pretraining datasets alongside their corresponding rendered tables | |
| for each setting. This repository also contains the code to train and evaluate these models. | |
| ## Datasets | |
| Download the ready-to-use datasets in _Files and versions_. | |
| ## Model checkpoints | |
| Download model checkpoints in _Files and versions_. | |
| Model names: | |
| - **PixT3 (TControl):** `pixt3_tcontrol` | |
| - **PixT3 (LControl):** `pixt3_lcontrol` | |
| - **PixT3 (OpenE):** `pixt3_opene` | |
| - **PixT3 (SLC):** `pixt3_slc` This is the model pretrained with the Structure Learning Curriculum. It mainly serves as initialization checkpoint for PixT3 (LControl) and PixT3 (OpenE). | |
| ## Reference | |
| If you find this project useful, please cite it using the following format | |
| ``` | |
| @inproceedings{alonso-etal-2024-pixt3, | |
| title = "{P}ix{T}3: Pixel-based Table-To-Text Generation", | |
| author = "Alonso, I{\~n}igo and | |
| Agirre, Eneko and | |
| Lapata, Mirella", | |
| editor = "Ku, Lun-Wei and | |
| Martins, Andre and | |
| Srikumar, Vivek", | |
| booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", | |
| month = aug, | |
| year = "2024", | |
| address = "Bangkok, Thailand", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2024.acl-long.364", | |
| pages = "6721--6736", | |
| } | |
| ``` | |