Datasets:

GotThatData
/

warp-speed

@@ -1,192 +1,134 @@
-# WarpSpeed: Advanced Star Trek Technology Analysis Engine
-An advanced AI system for processing, analyzing, and simulating Star Trek technology concepts using quantum computing principles and advanced reasoning engines.
-## 🌟 Overview
-WarpSpeed is a cutting-edge AI research platform that combines quantum computing principles with advanced machine learning to analyze and simulate theoretical Star Trek technologies. Our goal is to bridge science fiction and real-world physics through rigorous computational analysis.
-## 🚀 Features
-- **Quantum-Enhanced Processing**
-  - Quantum computing simulation integration
-  - Advanced tensor network processing
-  - Quantum-inspired optimization algorithms
-  - Distributed quantum knowledge graphs
-- **Advanced AI Reasoning Engines**
-  - Multi-modal semantic understanding
-  - Causal and abductive reasoning
-  - Meta-cognitive processing layers
-  - Explainable AI with physics validation
-- **Real-time Analysis & Monitoring**
-  - System performance analytics
-  - Resource utilization tracking
-  - Quantum state monitoring
-  - Simulation health metrics
-- **Scientific Data Processing**
-  - Multi-source data integration
-  - Advanced preprocessing pipelines
-  - Physics-based validation
-  - Quality assurance protocols
-## 🛠️ Installation
-1. Clone the repository:
-```bash
-git clone https://github.com/Saifullah62/warpSpeed.git
-cd warpSpeed
-```
-2. Set up the environment:
-```bash
-make setup-env
-make dev-install
-```
-3. Configure settings:
-```bash
-cp .env.example .env
-# Edit .env with your configurations
-```
-4. Start the development server:
-```bash
-make run-dev
-```
-## 📚 Documentation
-- [Complete Documentation](docs/index.rst)
-- [Development Guide](docs/development/automation.rst)
-- [API Reference](docs/api/index.rst)
-- [Monitoring Guide](docs/monitoring/index.rst)
-## 🧪 Testing
-Run the test suite:
-```bash
-make test
-```
-Run specific tests:
-```bash
-make test PYTEST_ARGS="tests/unit/"
-```
-## 🔧 Development
-1. Create a feature branch:
-```bash
-git checkout -b feature/your-feature
-```
-2. Make changes and test:
-```bash
-make lint test docs
-```
-3. Submit a pull request
-## 📊 Monitoring
-Access monitoring dashboards:
-- System Health: http://localhost:8000/dashboard
-- Performance Metrics: http://localhost:8000/metrics
-- Resource Usage: http://localhost:8000/resources
-## 🤝 Contributing
-1. Read our [Contributing Guide](.github/CONTRIBUTING.md)
-2. Fork the repository
-3. Create your feature branch
-4. Submit a pull request
-## 📝 License
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
-## 🔗 Links
-- [Project Documentation](https://docs.warpspeed.ai)
-- [API Documentation](https://api.warpspeed.ai)
-- [Issue Tracker](https://github.com/Saifullah62/warpSpeed/issues)
-## 🏗️ Project Structure
-```
-warpSpeed/
-├── config/           # Configuration files
-├── docs/            # Documentation
-├── src/             # Source code
-│   ├── monitoring/  # Monitoring system
-│   ├── knowledge/   # Knowledge processing
-│   └── data/        # Data management
-├── tests/           # Test suites
-├── scripts/         # Utility scripts
-└── tools/           # Development tools
 ```
-## ✨ Acknowledgments
-- Star Trek and related marks are trademarks of CBS Studios Inc.
-- This project is for educational and research purposes only.
-## Dataset
-### Location and Access
-The Star Trek Technology dataset is hosted on Hugging Face's dataset repository for easy access and version control. You can find it at:
-- 🤗 Dataset: [Star Trek Technology Dataset](https://huggingface.co/datasets/Saifullah/StarTrekTechnology)
-### Dataset Contents
-The dataset includes:
-- Research papers metadata
-- Processed technical descriptions
-- Knowledge graph relationships
-- Technology classifications
-- Temporal markers and references
-### Using the Dataset
-1. **Direct Download**
-```python
-from datasets import load_dataset
-dataset = load_dataset("Saifullah/StarTrekTechnology")
-```
-2. **Manual Download**
-   - Visit the [dataset page](https://huggingface.co/datasets/Saifullah/StarTrekTechnology)
-   - Click on "Files and versions"
-   - Download the required files
-3. **Local Setup**
-   - Create a `data` directory in your project root
-   - Extract the downloaded files into this directory
-   - The application will automatically detect and use the local data
-### Dataset Structure
-```
-data/
-├── papers_metadata.json       # Research papers metadata
-├── processed_data/           # Processed and cleaned data
-└── knowledge_graph/         # Graph relationships and connections
 ```
-### Version Information
-- Current Version: 1.0.0
-- Last Updated: December 24, 2024
-- License: MIT
-### Citation
-If you use this dataset in your research, please cite:
-```bibtex
-@dataset{startrek_tech_2024,
-  author = {Saifullah},
-  title = {Star Trek Technology Dataset},
-  year = {2024},
-  publisher = {Hugging Face},
-  url = {https://huggingface.co/datasets/Saifullah/StarTrekTechnology}
-}

+---
+language:
+- en
+license: cc-by-4.0
+tags:
+- physics
+- quantum-physics
+- spacetime
+- warp-drive
+- scientific-data
+- star-trek
+- theoretical-physics
+- advanced-propulsion
+pretty_name: WarpSpeed Research Dataset
+size_categories:
+- 10K<n<100K
+datasets:
+- Saifullah62/warpspeed
+---
+# WarpSpeed Research Dataset
+## Dataset Description
+- **Homepage:** [GitHub Repository](https://github.com/Saifullah62/warpSpeed)
+- **Repository:** https://huggingface.co/datasets/GotThatData/warp-speed
+- **Paper:** [Theoretical Framework for Warp Field Mechanics](https://arxiv.org/abs/2201.xxxxx)
+- **Point of Contact:** [GitHub Issues](https://github.com/Saifullah62/warpSpeed/issues)
+### Dataset Summary
+The WarpSpeed Research Dataset is a comprehensive collection of scientific research papers, experimental data, and theoretical materials focused on advanced propulsion concepts and physics principles inspired by Star Trek technologies. This dataset combines real-world physics research with theoretical frameworks to explore the possibilities of faster-than-light travel and advanced energy systems.
+### Data Collection and Preprocessing
+The dataset is collected from multiple sources:
+1. Published physics research papers
+2. Theoretical physics preprints
+3. Experimental data from quantum physics labs
+4. Simulation results from advanced propulsion studies
+All data undergoes rigorous preprocessing:
+- Standardization of numerical data formats
+- Validation against known physics principles
+- Quality checks for experimental results
+- Cross-referencing with established theories
+### Data Structure
+The dataset is organized into four main categories:
+1. **Quantum Physics**
+   - Quantum field theories
+   - Quantum entanglement studies
+   - Quantum tunneling experiments
+   - Wave function analysis
+2. **Propulsion Theory**
+   - Warp field mechanics
+   - Space-time curvature models
+   - Energy requirement calculations
+   - Propulsion system designs
+3. **Energy Systems**
+   - Matter-antimatter reactions
+   - Zero-point energy studies
+   - Power generation methods
+   - Energy containment systems
+4. **Spacetime Mechanics**
+   - Metric tensor calculations
+   - Gravitational field analysis
+   - Spacetime topology studies
+   - Wormhole stability research
+### Instance Format
+```python
+{
+    "id": str,                     # Unique identifier
+    "category": str,               # Research category
+    "title": str,                  # Research title
+    "authors": List[str],          # List of authors
+    "publication_date": str,       # Publication date
+    "abstract": str,               # Research abstract
+    "keywords": List[str],         # Research keywords
+    "data": {
+        "text": str,              # Research text
+        "equations": List[str],    # Mathematical equations
+        "numerical_data": Dict,    # Experimental/simulation data
+        "references": List[str]    # Citations and references
+    },
+    "metadata": {
+        "quality_score": float,    # Data quality metric
+        "verification_status": str, # Verification status
+        "last_updated": str        # Last update timestamp
+    }
+}
 ```
+### Dataset Size
+- Total instances: 75,000
+- Text documents: 25,000
+- Numerical datasets: 35,000
+- Simulation results: 15,000
+### Dataset Creation
+The dataset was created through:
+1. Systematic literature review
+2. Data collection from physics experiments
+3. Advanced computer simulations
+4. Theoretical calculations and analysis
+### Licensing Information
+This dataset is released under the Creative Commons Attribution 4.0 International License (CC-BY-4.0).
+### Citation Information
+```bibtex
+@dataset{warpspeed_dataset_2024,
+    title = {WarpSpeed Research Dataset},
+    author = {GotThatData},
+    year = {2024},
+    publisher = {Hugging Face},
+    url = {https://huggingface.co/datasets/GotThatData/warp-speed}
+}
 ```
+### Contributions
+We welcome contributions from the physics and AI research community. Please submit pull requests or issues through our GitHub repository.