Synthetic Indian Clinical Notes for Natural Language Processing Research

Read full text
Authors: Amandeep Aman
Cited by: 0

Abstract

This dataset contains 10,000 synthetic clinical notes designed to reflect the unique linguistic and structural characteristics of clinical documentation in India. The notes were generated using a custom Python script that leverages a variety of templates and semantic patterns derived from real-world examples of Indian clinical documentation. The dataset is intended for researchers and developers working on Natural Language Processing (NLP) tasks in the medical domain, particularly those focused on the Indian context. It can be used for training and evaluating language models, developing information extraction systems, and exploring the semantic nuances of Indian clinical text. The dataset includes notes from five different medical specialties: cardiology, neurology, pediatrics, general medicine, and orthopaedics. The notes are available in a medium length, providing a balance of detail and conciseness.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Machine Learning in Healthcare Topic Modeling

Publication details

Journal / source
Mendeley Data
Publication date
10 February 2026
Language
EN
Document type
Dataset