dataset_info:
features:
- name: note_id
dtype: string
- name: client_id
dtype: string
- name: scenario_id
dtype: string
- name: date
dtype: string
- name: note
dtype: string
splits:
- name: train
num_bytes: 3098462
num_examples: 14533
download_size: 1245656
dataset_size: 3098462
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: mit
language:
- nl
tags:
- medical
pretty_name: Fruta Records
size_categories:
- 10K<n<100K
Synthetic Nursing Home Records Dataset
Dataset Overview
This dataset contains synthetically generated records for nursing home clients. The records represent the day-to-day documentation created by nursing staff during client care. All data is completely artificial but designed to realistically represent typical nursing documentation. This dataset contains NO REAL PATIENT DATA.
Dataset Creation
The records were generated using four different LLM models:
- Azure OpenAI: GPT-4o-mini
- Azure OpenAI: GPT-4o
- Anthropic: Claude-3-5-Sonnet-20240620
- Ollama: Phi4
Each record is a set of notes, derived from the client profiles and scenarios (available in companion datasets). The LLMs were instructed to create realistic daily nursing notes that reflect the detailed observations, interventions, and client status that would typically be documented by nursing home staff.
Dataset Structure
The dataset consists of the following fields:
| Field | Description |
|---|---|
| note_id | Unique identifier for each nursing note (format: n[ward_initial]_[number]) |
| client_id | Unique identifier linking to the client in the profiles dataset |
| scenario_id | Unique identifier linking to the scenario that this record relates to |
| date | Date and time when the record was written |
| note | Content of the nursing record |
Relationship with Other Datasets
This dataset is part of a synthetic nursing home data collection:
- Profiles: Contains the baseline client information
- Scenarios: Contains weekly summaries of events
- Records (this dataset): Contains detailed daily nursing notes
Usage Notes
This dataset is intended for:
- Training small language models on nursing home documentation
- Showcasing NLP applications in nursing home settings
- Creating realistic but non-sensitive datasets for healthcare NLP experiments
This synthetic dataset allows for privacy-preserving NLP development in healthcare. However, users should acknowledge that it may not capture the nuances of real-world nursing documentation.
Author
Created by Eva Rombouts
The code for this dataset generation is available on GitHub: https://github.com/ekrombouts/GenCareAI
Notes
- All data is in Dutch