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ShahadAljohani/Saudi-Arabic-Alzheimers-Conversational-Dataset-Parameterized

Saudi Arabic Alzheimer's Patient QA Dataset (Conversational) Overview This dataset contains parameterized question-answer pairs designed for conversational AI assistants supporting Alzheimer's patients. The questions are written in the Saudi Arabic dialect and cover common memory-related interactions. Features Saudi Arabic dialect Parameterized answers Alzheimer's memory support Conversational QA RAG-ready Language Arabic (Saudi… See the full description on the dataset page: https://huggingface.co/datasets/ShahadAljohani/Saudi-Arabic-Alzheimers-Conversational-Dataset-Parameterized.

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Saudi Arabic Alzheimer's Patient QA Dataset (Conversational)

Overview

This dataset contains parameterized question-answer pairs designed for conversational AI assistants supporting Alzheimer's patients. The questions are written in the Saudi Arabic dialect and cover common memory-related interactions.

Features

  • —Saudi Arabic dialect
  • —Parameterized answers
  • —Alzheimer's memory support
  • —Conversational QA
  • —RAG-ready

Language

Arabic (Saudi dialect)

Intended Use

  • —RAG systems
  • —Healthcare conversational agents
  • —Memory assistance applications
  • —Academic research

Data Structure

Each entry contains:

FieldDescription
idUnique question-answer identifier
intentCategory of the user's request
questionsAlternative user utterances in Saudi Arabic
answerParameterized response containing placeholders

Example

json
{
  "id": "alz_001",
  "intent": "identity",
  "questions": [
    "ما اسمي",
    "وش اسمي",
    "نسيت اسمي"
  ],
  "answer": "اسمك هو [اسم_المريض]."
}

Supported Intents

Examples include:

  • —identity
  • —health
  • —location
  • —memory
  • —action
  • —disease_info
  • —treatment
  • —medication
  • —orientation
  • —time
  • —daily_activity
  • —mobility
  • —rest

Dataset Format

  • —JSON
  • —UTF-8 encoding
  • —One intent may contain multiple paraphrased questions mapped to a single parameterized answer.

How to use it?

This dataset can be used in testing LLM-powered systems

  • —for User Interface data: it should be integrated with an internal database and connected with a UI in order to reas and store parametrized data dunamically with implementing correct and suitable codes.

Also it is recommended to be integrated with a vector database and transformer for embeddings to store and further use the data for RAG environments.

Data Creation

The dataset was designed for a graduation project focusing on personalized conversational AI for Alzheimer's patients.

The dialogue examples were authored, curated, reviewed and edited by Shahad Aljohani, then organized with an AI assistance into an intent-based, parameterized structure suitable for conversational AI and RAG applications.

Limitations

  • —This dataset is intended for research and educational purposes.
  • —It is not intended to diagnose, treat, or replace professional medical advice.
  • —Responses should always be integrated with appropriate safeguards and human oversight in healthcare settings.
  • —The dataset focuses on the Saudi Arabic dialect and may not generalize to other Arabic dialects.
  • —Commercial use is not permitted without prior permission.

Citation

If you use this dataset in your research, please cite it as:

bibtex
@dataset{saudi_arabic_alzheimer_dialogue,
  title={Saudi Arabic Alzheimer's Conversational Dataset - Parameterized},
  author={Aljohani, Shahad},
  year={2026},
  publisher={Hugging Face}
}

License

This dataset is released under the CC BY-NC 4.0 license unless otherwise specified.

Contact

For questions, suggestions, or contributions, please open an issue or contact the dataset author through Hugging Face.