This is a paddlepaddle implementation of generative-based model for knowledge-driven dialogue
Step 1: Preprocess the data
Put the data provided by the organizer under the data folder and rename them train/dev/test.txt:
./data/resource/train.txt ./data/resource/dev.txt ./data/resource/test.txt
Step 2: Train the model
Train model with the following commands.
Step 3: Test the Model
Test model with the following commands.
- The script run_train.sh/run_test.sh shows all the processes including data processing and model training/testing. Be sure to read it carefully and follow it.
- The files in ./data and ./model is just empty file to show the structure of the document.