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MS-Marco-Prompt-generation
Prompts for AI & Machine Learning
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About
This dataset consists of questions paired with a brief summary or query related to diverse topics, including scientific achievements, justice theories, medical conditions, etymology, and tutoring rates. It appears to contain information drawn from various domains such as history, law, healthcare, linguistics, and education. The dataset is designed to facilitate question answering, knowledge extraction, and content classification for various natural language processing tasks.
Dataset Features
- MS_ID: A unique identifier for each entry in the dataset.
- Summary: A brief text that provides context or information related to the query.
- Query: A question or query associated with the summary, often inquiring about specific details or definitions.
Distribution
- Data Volume: The dataset contains 532761 rows and 3 columns.
- Format: Tabular format, with each record containing a prompt related to a specific topic.
Usage
This dataset is ideal for a variety of applications:
- Natural Language Processing (NLP): For training models to understand and answer questions based on given contexts.
- Question Answering Systems: To improve AI-driven question answering models by providing diverse examples of queries.
- Education Technology: To create datasets for tutoring systems, quizzes, or knowledge extraction in educational platforms.
Coverage
- Geographic Coverage: The dataset does not appear to be geographically restricted, as it includes global knowledge.
- Time Range: The dataset appears to be current, but there is no specific time range provided.
License
CC0 (Public Domain)
Who Can Use It
- Data Scientists: For training and evaluating question-answering systems or other NLP models.
- Researchers: For academic studies on knowledge extraction, classification, and semantic analysis.
- Businesses: For developing AI-driven customer support, virtual assistants, or other applications that require contextual understanding of queries.
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