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Neurodiverse Preliminary Diagnostic Dataset
Overview
The Neurodiverse Preliminary Diagnostic Dataset is a pioneering resource designed to support AI models in identifying neurodiverse conditions, including Autism, Dyslexia, ADHD, Dyscalculia, and Dysgraphia. This dataset is curated to enhance machine learning applications in neurodiverse diagnostics, providing accessible, accurate, and inclusive tools for preliminary assessment.

Why This Dataset?
Around 40% of neurodiverse conditions remain undiagnosed or misdiagnosed due to barriers in accessibility, affordability, and awareness. Early identification is critical for providing the support and accommodations individuals need to succeed in education and beyond. This dataset aims to:

Facilitate the development of AI models that assist in identifying signs of neurodiversity.
Provide researchers and developers with diverse data that reflects real-world scenarios.
Bridge the gap between underserved communities and early diagnostic tools.
Dataset Features
Multifaceted Representation: Covers text-based, numerical, and behavioral indicators relevant to various neurodiverse conditions.
Culturally Inclusive: Ensures representation across diverse age groups, genders, and cultural contexts to improve diagnostic fairness.
Privacy-Conscious Design: Adheres to data protection laws (e.g., HIPAA, GDPR) by anonymizing sensitive information.
Use Cases
This dataset is designed for multiple applications, including but not limited to:

Preliminary Assessment Tools: Training AI systems to provide initial screening for neurodiverse conditions.
Research on Neurodiversity: Enabling academic and medical researchers to analyze patterns and indicators of neurodiversity.
Educational Adaptation: Supporting the creation of personalized learning plans for individuals with learning disabilities.
Dataset Structure
Demographic Information: Anonymized data such as age, gender, and cultural background.
Assessment Responses: Text and numerical data from simulated preliminary diagnostic assessments.
Indicators by Condition:
Autism: Social communication patterns, repetitive behaviors, and sensory sensitivities.
Dyslexia: Reading fluency, spelling errors, and word recall.
ADHD: Attention spans, impulsivity, and hyperactivity.
Dyscalculia: Numerical understanding, math skills, and time estimation.
Dysgraphia: Handwriting samples, fine motor skills, and spatial awareness.
Supported Tasks
Text Classification: Identifying relevant indicators from user-provided inputs.
Question Answering: Building AI models capable of interactive neurodiverse assessments.
Multimodal Learning: Combining text and numerical data for richer diagnostic insights.
Data Access
The dataset is available for free use under the CC BY 4.0 License, encouraging research, collaboration, and innovation while requiring appropriate attribution.

Ethical Considerations
This dataset is designed with ethical considerations in mind:

Privacy Protection: All data is anonymized to prevent the identification of individuals.
Bias Mitigation: Efforts have been made to ensure diverse representation and fairness across all demographic groups.
Non-Diagnostic Intent: This dataset is for research and development purposes only and is not a substitute for professional medical diagnosis.
How to Use the Dataset
To get started, clone the repository and load the data using your preferred ML framework (e.g., TensorFlow, PyTorch, or Hugging Face Transformers). Use the included metadata file to understand the structure and distribution of the data.

Future Directions
We plan to expand this dataset by:

Including audio and video data to explore multimodal diagnostic applications.
Adding support for more languages to improve accessibility worldwide.
Collaborating with researchers and organizations to continuously refine and update the dataset.
Acknowledgments
This dataset is made possible by the collaborative efforts of educators, healthcare professionals, and developers committed to improving neurodiverse diagnostics.

Contact
For questions or suggestions, please reach out. https://neuroeducationaltesting.com/


Together, let’s create tools that empower and support neurodiverse individuals worldwide.

README.md

@@ -0,0 +1,23 @@
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- ch
+- zh
+- en
+- es
+- fr
+- fi
+- it
+- de
+tags:
+- code
+- learning-disabilities
+- AI-diagnostics
+- neurodiversity
+- preliminary-assessment
+pretty_name: Neurodiverse Preliminary Diagnostic Dataset"
+size_categories:
+- 1K<n<10K
+---