---
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"