{
  "_comment": "Project metadata and author information",
  "project": {
    "id": 23,
    "title": "Question Answering Dataset",
    "category": "Text Data",
    "description": "Question answering dataset with context passages, questions, and answers for training QA models and reading comprehension systems.",
    "full_description": "This dataset contains context passages with corresponding questions and answers for question answering tasks. Perfect for training QA models, reading comprehension systems, and transformer-based language models.",
    "technologies": ["JSON", "CSV", "Transformers", "BERT", "GPT"],
    "difficulty": "Advanced",
    "source_link": "./question-answering/question-answering.zip",
    "demo_link": "./question-answering/",
    "features": [
      "Context passages",
      "Questions and answers",
      "Multiple domains",
      "SQuAD format",
      "Ready for transformer models"
    ],
    "icon": "fas fa-file-alt",
    "icon_color": "text-danger",
    "project_image": "./question-answering/question-answering.png",
    "project_image_alt": "Question Answering Dataset - rskworld.in"
  },
  "author": {
    "name": "Molla Samser",
    "website": "https://rskworld.in",
    "email": "help@rskworld.in",
    "phone": "+91 93305 39277"
  },
  "dataset": {
    "format": "SQuAD 2.0",
    "version": "1.0",
    "total_contexts": 5,
    "total_questions": 10,
    "total_answers": 10,
    "domains": ["Science and Technology", "History", "Literature", "General Knowledge"]
  }
}