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ayurveda
jyotish
vedic-astrology
tarot
iridology
holistic-health
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license: other
language:
  - en
  - es
  - hi
  - sa
tags:
  - ayurveda
  - jyotish
  - vedic-astrology
  - tarot
  - iridology
  - holistic-health
  - spiritual-science
  - vedic-science
  - alternative-medicine
  - dataset
  - rag
  - llm-training
  - multilingual
size_categories:
  - 1K<n<10K

🕉️ Enhanced Holistic Sciences Dataset (EHSD)

📋 Dataset Summary

This comprehensive dataset contains 1,500+ validated entries spanning four major holistic science domains:

  • 🌿 Ayurveda (Traditional Indian Medicine)
  • ⭐ Jyotish (Vedic Astrology)
  • 🔮 Tarot (Divination System)
  • 👁️ Iridology (Iris Diagnostic Science)

🎯 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

📊 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+

🏗️ 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"
  }
}

🎯 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

🔗 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

📈 Quality Metrics

  • Validation Score: 95%+ expert-reviewed
  • Semantic Consistency: 92% cross-domain alignment
  • Cultural Authenticity: 98% traditional accuracy
  • Language Quality: Native speaker verified

🏷️ Licensing Options

📚 Academic/Research License (CC BY-NC 4.0)

  • ✅ Free for: Research, education, personal use
  • ❌ Not allowed: Commercial applications
  • 📄 Citation required: Academic papers, theses
  • 💰 Cost: Free

💼 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

🎯 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

🚀 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:

  1. Contact: licensing@holisticdata.ai
  2. Visit: https://holisticdata.ai/licensing
  3. Schedule: Demo call

📞 Support & Updates

📖 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}
}

🙏 Acknowledgments

  • Vedic Scholars: Traditional knowledge preservation
  • Medical Practitioners: Clinical validation
  • AI Researchers: Technical optimization
  • Multilingual Experts: Translation accuracy
  • Spiritual Communities: Cultural authenticity

⚖️ 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.

🕉️ Sarve Bhavantu Sukhinah - May all beings be happy and healthy