# AriEL
This is a self standing code for the results in the paper submission **AriEL: volume coding for sentence generation comparisons**.

Tables 1, 2, and 3 are generated running ```python main.py```, and then running ```python plot_data_from_training.py``` 
to generate the statistics and the latex table. Figure 3 is generated by running ```python interpolations.py```, 
table 4 running ```python main.py with dataset_name=GW```. Sampling GPT2 and DialoGPT as Language Models within AriEL 
as mentioned in the Discussion, can be done running ```python gpt2_in_ariel.py```.
