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Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

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Knover

Knover is a toolkit for knowledge grounded dialogue generation based on PaddlePaddle. Knover allows researchers and developers to carry out efficient training/inference of large-scale dialogue generation models.

What's New:

  • October 2022: We are opening Q-TOD, a novel query-driven task-oriented dialogue system.
  • March 2022: We are opening PLATO-KAG, an unsupervised learning approach for end-to-end knowledge-grounded conversation modeling.
  • February 2022: We are opening our TOD-DA dataset, models and code in DSTC10-Track2.
  • December 2021: We are opening the dialogue generation model of PLATO-XL, with up to 11 billion parameters.
  • October 2021: We are opening AG-DST, an amendable generation for dialogue state tracking.
  • February 2021: We are opening our implementation (Team 19) in DSTC9-Track1.
  • July 2020: We are opening PLATO-2, a large-scale generative model with latent space for open-domain dialogue systems.

Requirements and Installation

  • python version >= 3.7
  • paddlepaddle-gpu version >= 2.4.0
  • sentencepiece
  • termcolor
  • If you want to run distributed training, you'll also need NCCL
  • Install Knover locally:
git clone https://github.com/PaddlePaddle/Knover.git
cd Knover
pip3 install -e .
  • Or you can setup PYTHONPATH only:
export PYTHONPATH=/abs/path/to/Knover:$PYTHONPATH

Basic usage

Disclaimer

This project aims to facilitate further research progress in dialogue generation. Baidu is not responsible for the 3rd party's generation with the pre-trained system.

Contact information

For help or issues using Knover, please submit a GitHub issue.

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Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

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