license: apache-2.0
task_categories:
- question-answering
language:
- es
size_categories:
- n<1K
Conversational Cancer Lung Detection Dataset
This dataset, Conversational Cancer Lung Detection, is a conversationally structured dataset derived from the original Lung Cancer Detection dataset by Jillani Soft Tech on Kaggle. It has been transformed to simulate medical records in a conversational format, enabling AI applications to interact in a question-answer style format about lung cancer detection.
Dataset Overview
The Conversational Cancer Lung Detection dataset was created by taking key attributes and values from the Jillani Soft Tech dataset and reformatting them into natural language dialogue. The dataset entries mimic a back-and-forth between a patient or physician and an AI assistant, such as ChatGPT, to simulate realistic medical conversations that could occur during patient consultations or diagnostic reviews.
This dataset aims to provide a resource for training and testing conversational AI models in a medical context, particularly focusing on lung cancer. It can be valuable for building applications that assist healthcare professionals by simulating conversations, answering questions, or guiding patients through the diagnostic criteria and symptoms of lung cancer.