metadata
dataset_info:
features:
- name: user_tone
dtype: string
- name: user_input
dtype: string
- name: model_output
dtype: string
splits:
- name: train
num_bytes: 148433
num_examples: 582
download_size: 56181
dataset_size: 148433
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- question-answering
language:
- en
tags:
- food
pretty_name: Restaurant recommendation AI Assistant chat
size_categories:
- n<1K
Restaurant chat dataset
This dataset contains approximately 600 chat interactions mimicking various user tones with different restaurant categories The data were generated by Gemini-pro The purpose of this dataset is to serve as a calibration dataset for a restaurant recommendation LLM chatbot