Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/PetraAI/LMDpro@d2901358774913cec9b23ee2a2498b4cc81466e9/package-lock.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 172, in _generate_tables
raise ValueError(
ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/PetraAI/LMDpro@d2901358774913cec9b23ee2a2498b4cc81466e9/package-lock.json.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
🚀 LMDpro - AI-Powered Leadership & Management Development Platform
LMDpro is a cutting-edge, enterprise-grade SaaS platform that revolutionizes leadership and management development through artificial intelligence. Our platform combines advanced machine learning algorithms, real-time collaboration tools, and personalized learning experiences to accelerate professional growth and organizational excellence.
🌟 Key Features
🔐 Enterprise Security
- Google OAuth 2.0 Integration: Secure, streamlined authentication
- JWT Token Management: Stateless, scalable session handling
- Rate Limiting & CORS Protection: Advanced security measures
- Helmet.js Security Headers: Enhanced protection against vulnerabilities
🤖 AI-Powered Intelligence
- Autonomous AI Agents: Multi-agent collaboration system
- Real-Time Communication: WebSocket-powered instant messaging
- Intelligent Task Management: AI-driven performance optimization
- Natural Language Processing: Advanced conversation capabilities
📚 Learning & Development
- Interactive Podcast Library: Curated leadership content
- Adaptive Learning Paths: Personalized development journeys
- Progress Analytics: Data-driven insights and recommendations
- Multi-Language Support: Global accessibility with RTL support
🎨 User Experience Excellence
- Material Design 3.0: Modern, accessible interface
- Dark/Light Theme: Adaptive UI with user preferences
- Arabic Language Support: Almarai font integration
- Responsive Design: Seamless experience across all devices
- Progressive Web App: Offline capabilities and native-like performance
🏗️ Technical Architecture
Frontend Stack
├── React 18.3.1 # Modern React with Concurrent Features
├── Material-UI 5.15.15 # Component Library & Design System
├── Vite 5.2.11 # Ultra-fast build tool
├── React Router 6.23.1 # Client-side routing
├── Emotion 11.11.x # CSS-in-JS styling
└── Socket.IO 4.7.5 # Real-time communication
Backend Stack
├── Node.js 18+ # JavaScript runtime
├── Express 4.19.2 # Web application framework
├── MongoDB 8.4.1 # NoSQL database
├── Socket.IO 4.7.5 # WebSocket implementation
├── Winston 3.13.0 # Advanced logging
└── Helmet 7.1.0 # Security middleware
AI & Machine Learning
├── OpenAI GPT-4 # Language model integration
├── LangChain 0.2.3 # LLM application framework
├── Google Cloud AI # Translation & Text-to-Speech
└── Custom AI Agents # Proprietary intelligence layer
Cloud Infrastructure
├── AWS Elastic Beanstalk # Scalable application hosting
├── MongoDB Atlas # Managed database service
├── CloudFront CDN # Global content delivery
└── Route 53 DNS # Domain management
Installation
Prerequisites
- Node.js v18.x and npm v8.x
- MongoDB instance (Local or Cloud)
- Google Cloud Console configured for OAuth
Getting Started
Follow these steps to set up and run LMDpro locally.
🛠️ Clone the Repository
git clone https://github.com/yourusername/lmdpro.git
cd lmdpro
📦 Installation
Install Client Dependencies
cd client
npm install
Install Server Dependencies
cd ../server
npm install
🚀 Running Locally
Run both client and server concurrently.
npm run dev
🧪 Automated Testing
Ensure a robust application by running tests.
Running Tests
cd server
npm test
🌍 Deployment
Deploy LMDpro to the cloud with AWS Elastic Beanstalk.
Ensure you have the AWS Elastic Beanstalk CLI installed and configured.
npm run deploy
📈 SEO Optimization
LMDpro is built with SEO in mind to ensure high visibility in search engines. Here are some of our focus keywords:
- Leadership Development
- AI Management Solutions
- AI-Powered Learning
- Professional Growth
- AI Agents Collaboration
📝 License
LMDpro is licensed under the MIT License. Please see the LICENSE file for more information.
🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to check out the issues page.
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