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This repository serves primarily as codebase and data, model for training, evaluation and inference of the logical pre-training method LogiGAN.
[LogiGAN](https://arxiv.org/abs/2205.08794) (NeurIPS 2022) is the adversarial logical pre-training method with Transformer-based encoder-decoder backbone.
The data and model are released in [Here] (https://github.com/microsoft/ContextualSP/releases/tag/logigan).
The data and model are released in [Here](https://github.com/microsoft/ContextualSP/releases/tag/logigan).
# Preprocessing
## Logic MLM Corpus Construction
```angular2