This repository updates the originally written classes for The Switchboard Dialog Act Corpus and uses it to freely parse the dataset.
- Extract swda.zip dataset inside
data/raw/ - Run
python main.pyto create train/val/test splits. The *_sentences.tsv files generated could be used to train an autoencoder while *_dialog.tsv files could used to train a simple sequence-to-sequence model for dialog generation.