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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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# Dataset Name
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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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- **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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## Dataset Structure
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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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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"
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