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