This repo contains model for [Data-to-text Generation with Variational Sequential Planning](https://arxiv.org/abs/2202.13756) (Ratish Puduppully and Yao Fu and Mirella Lapata;  In Transactions of the Association for Computational Linguistics (TACL)). This model is trained on the [German RotoWire dataset](https://huggingface.co/datasets/GEM/RotoWire_English-German). The code is available on github [repo](https://github.com/ratishsp/data2text-seq-plan-py). 

## Citation
```
@article{puduppully-2021-seq-plan,
  author    = {Ratish Puduppully and Yao Fu and Mirella Lapata},
  title     = {Data-to-text Generation with Variational Sequential Planning},
  journal = {Transactions of the Association for Computational Linguistics (to appear)},
  url       = {https://arxiv.org/abs/2202.13756},
  year      = {2022}
}
```

## License
The model is available under the MIT License.