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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: "Dataset Name"
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+ tags:
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+ - text
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+ - retrieval
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+ - information-retrieval
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+ - question-answering
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+ - dataset
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+ license: "apache-2.0"
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+ datasets:
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+ - your-username/your-dataset-name
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+ ---
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+
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+ # Dataset Name
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+
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+ ## Overview
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+ A dataset created from a 90-page PDF document, structured for retrieval and information extraction tasks. Each entry contains textual content and metadata, making it ideal for applications such as question answering, summarization, and semantic search.
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+
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+ - **Source**: Derived from a specific document (e.g., a book, article, or report).
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+ - **Size**: Contains individual entries for each page or section of the document.
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+ - **Purpose**: Designed for use in NLP retrieval and summarization tasks.
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+
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+ ## Dataset Structure
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+
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+ Each data entry includes:
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+ - `content`: The main text extracted from a page or section.
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+ - `meta`: Metadata associated with each entry. This can include page number, title, or other identifying information.
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+
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+ Example entry:
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+ ```yaml
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+ - content: "This is a sample page text."
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+ meta:
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+ page_number: 1
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+ title: "Sample Title"