A very small and LLM generated task oriented dialogue dataset for gelato. 🍨
GelaToD offers arguably the first dataset for one of the most important businesses, gelato shops! This dataset contains hypothetical and simplified dialogues between a customer and an assistant in Jack's Gelato, one of the most important shops for Cambridge students! This dataset provides resources for state tracking models and response generation models.
dialogue_data.json: Dialogue dataset generated with LLM.dst_data.json,rg_data.json: Processed datasets for dialogue state tracking and response generation.dst_models.py,rg_models.py: Example model implementations for DST and RG tasks.gelatoAPI.py: Simulated API for interacting with a gelato ordering system. It could give you a picture as the one above!generate_data.py,process_data.py: Utilities for data generation with GPT4 and preprocessing for DST and RG.train_dst.py,train_rg.py: Scripts for training DST and RG models.environment.yml: Conda environment file for setting up a development environment.prompt.txt: Sample prompts used for LLM dialogue generation.ice_cream.png: The ice cream you will get from gelatoAPI.