This repository contains the code for the paper Task-Optimized Adapter for an End-to-End Task Oriented Dialog (Findings of ACL 2023).
pip install -r requirements.txtpip install wandb
wandb login
wandb initcd data/multiwoz21
bash data_preparation.sh- MultiWOZ 2.2 Data Preprocessing First, You have to download the dataset from MultiWOZ 2.2. And then, you have to convert the dataset to the format of MultiWOZ 2.1.
cd data/multiwoz22
bash data_preparation.shcd data/banking77
bash banking77_preparation.sh
cd ../clinc150
bash clinc150_preparation.sh
cd ../hwu64
bash ../hwu64_preparation.shcd checkpoints
wget https://pptod.s3.amazonaws.com/Pretrain/small.zip
unzip small.zip
rm small.zip
wget https://pptod.s3.amazonaws.com/Pretrain/base.zip
unzip base.zip
rm base.zipcd E2E_TOD
bash small_run_21.sh
bash small_run_22.shcd E2E_TOD
bash base_run_21.sh
bash base_run_22.shcd IC
bash run.shIf you want to test our best models, download the checkpoint files from the following links.
| Task | Dataset | Model (small) | Model (base) |
|---|---|---|---|
| E2E TOD | MultiWOZ 2.1 | Link | Link |
| MultiWOZ 2.2 | Link | Link | |
| NLU | banking77 | Link | Link |
| clinc150 | Link | Link | |
| hwu64 | Link | Link |
We heavily referenced the code from PPTOD and would like to express our gratitude to the Amazon crew.
@article{su2021multitask,
author = {Yixuan Su and
Lei Shu and
Elman Mansimov and
Arshit Gupta and
Deng Cai and
Yi{-}An Lai and
Yi Zhang},
title = {Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System},
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)",
year = {2022},
url = {https://arxiv.org/abs/2109.14739}
}
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