๐๏ธ Enhanced Holistic Sciences Dataset (EHSD)
๐ Dataset Summary
This comprehensive dataset contains 1,500+ validated entries spanning four major holistic science domains:
- ๐ฟ Ayurveda (Traditional Indian Medicine)
- โญ Jyotish (Vedic Astrology)
- ๐ฎ Tarot (Divination System)
- ๐๏ธ Iridology (Iris Diagnostic Science)
๐ฏ Key Features
- Multilingual: English, Spanish, Hindi, Sanskrit
- Cross-referenced: Semantic links between domains
- Validated: Expert-reviewed content
- Structured: JSONL format with rich metadata
- RAG-Optimized: Ready for Retrieval-Augmented Generation
- LLM-Ready: Fine-tuning compatible
๐ Dataset Statistics
| Domain | Entries | Languages | Cross-refs |
|---|---|---|---|
| Ayurveda | 400+ | EN, ES, HI | 150+ |
| Jyotish | 500+ | EN, ES, HI, SA | 200+ |
| Tarot | 350+ | EN, ES | 100+ |
| Iridology | 250+ | EN, ES | 80+ |
| Total | 1,500+ | 4 Languages | 530+ |
๐๏ธ Data Structure
{
"id": "ayurveda_001",
"domain": "ayurveda",
"category": "doshas",
"subcategory": "vata",
"question": "What are the characteristics of Vata dosha?",
"answer": "Vata governs movement, creativity, and flexibility...",
"metadata": {
"language": "en",
"difficulty": "intermediate",
"cultural_context": "traditional",
"validation_score": 0.95,
"cross_references": ["jyotish_045", "tarot_123"],
"keywords": ["vata", "movement", "creativity"],
"source": "classical_texts",
"validation_date": "2024-01-15"
}
}
๐ฏ Use Cases
1. Retrieval-Augmented Generation (RAG)
# Example RAG implementation
from datasets import load_dataset
import faiss
import numpy as np
# Load dataset
dataset = load_dataset("your-org/enhanced-holistic-dataset", split="train")
# Create embeddings for semantic search
# Perfect for spiritual chatbots, consultation systems
2. Fine-tuning LLMs
# Fine-tune models for specialized domains
from transformers import AutoModel, AutoTokenizer
# Train domain-specific models
# Ideal for spiritual guidance, holistic health advisors
3. Multilingual Applications
- English: Primary research and development
- Spanish: Latin American holistic markets
- Hindi: Indian traditional medicine
- Sanskrit: Authentic Vedic preservation
๐ Cross-Domain Intelligence
Our unique cross-referencing system enables:
- Ayurveda-Jyotish: Planetary influences on health
- Tarot-Ayurveda: Archetypal healing patterns
- Iridology-Jyotish: Iris patterns and astrological timing
- Multi-modal: Text, symbolic, and diagnostic correlations
๐ Quality Metrics
- Validation Score: 95%+ expert-reviewed
- Semantic Consistency: 92% cross-domain alignment
- Cultural Authenticity: 98% traditional accuracy
- Language Quality: Native speaker verified
๐ท๏ธ Licensing Options
๐ Academic/Research License (CC BY-NC 4.0)
- โ Free for: Research, education, personal use
- โ Not allowed: Commercial applications
- ๐ Citation required: Academic papers, theses
- ๐ฐ Cost: Free
๐ผ Commercial Licenses
1. Startup License ($299/year)
- Up to 10,000 monthly active users
- Basic support and updates
- Perfect for MVPs and small applications
2. Business License ($999/year)
- Up to 100,000 monthly active users
- Priority support and quarterly updates
- Custom domain training available
3. Enterprise License (Custom pricing)
- Unlimited users and applications
- White-label options available
- Dedicated support team
- Custom data augmentation
- On-premise deployment option
๐ฏ Specialized Licenses
Healthcare License (HIPAA Compliant)
- Medical-grade validation
- Regulatory compliance support
- Clinical research applications
Educational License (Institutional)
- University curriculum integration
- Student research projects
- Academic collaboration tools
๐ Getting Started
Quick Start (Sample Dataset)
from datasets import load_dataset
# Load sample dataset (50 entries)
dataset = load_dataset("your-org/enhanced-holistic-dataset-sample", split="train")
# Explore the data
print(dataset[0])
Full Dataset Access
For commercial access to the complete 1,500+ entry dataset:
- Contact: licensing@holisticdata.ai
- Visit: https://holisticdata.ai/licensing
- Schedule: Demo call
๐ Support & Updates
- ๐ง Email: support@holisticdata.ai
- ๐ฌ Discord: Join our community
- ๐ Documentation: docs.holisticdata.ai
- ๐ Updates: Quarterly releases with new entries
- ๐ Issues: GitHub Issues
๐ Citation
If you use this dataset in your research, please cite:
@dataset{enhanced_holistic_dataset_2024,
title={Enhanced Holistic Sciences Dataset: A Multilingual Cross-Domain Resource for Spiritual AI},
author={Holistic Data Team},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/your-org/enhanced-holistic-dataset}
}
๐ Acknowledgments
- Vedic Scholars: Traditional knowledge preservation
- Medical Practitioners: Clinical validation
- AI Researchers: Technical optimization
- Multilingual Experts: Translation accuracy
- Spiritual Communities: Cultural authenticity
โ๏ธ Legal Notice
This dataset contains traditional knowledge and spiritual practices. Use responsibly and respectfully. Not intended as medical advice. Always consult qualified practitioners for health decisions.
Disclaimer: This dataset is for educational and research purposes. Results from AI models trained on this data should be validated by qualified professionals in respective fields.
๐๏ธ Sarve Bhavantu Sukhinah - May all beings be happy and healthy
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