---
dataset_info:
  features:
  - name: NAID
    dtype: string
  - name: naraURL
    dtype: string
  - name: title
    dtype: string
  - name: logicalDate
    dtype: string
  - name: pdfObjectID
    dtype: string
  - name: pdfURL
    dtype: string
  - name: pageObjectId
    sequence: string
  - name: pageURL
    sequence: string
  - name: numberOfPages
    dtype: int64
  - name: pageImageType
    dtype: string
  - name: extractedTextID
    sequence: string
  - name: extractedText
    sequence: string
  - name: extractedTextDate
    sequence: string
  - name: extractedTextContributor
    dtype: string
  - name: transcriptionID
    sequence: string
  - name: transcriptionText
    sequence: string
  - name: transcriptionDate
    sequence: string
  splits:
  - name: train
    num_bytes: 2697565677
    num_examples: 78926
  download_size: 1267069275
  dataset_size: 2697565677
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
    license: cc0-1.0
task_categories:
- image-to-text
- text-retrieval
- text-classification
- feature-extraction
language:
- en
tags:
- american-history
- american-revolution
- archives
- national-archives
- pension-files
- genealogy
- america-250
- glam
- lam
pretty_name: Revolutionary War Pension Files - File-Level
size_categories:
- 10K<n<100K
license: cc0-1.0
---

# Dataset Card for American Revolutionary War Pension Files - File-Level

## Table of Contents
- [Dataset Summary](#dataset-summary)
- [Dataset Description](#dataset-description)
  - [Dataset Details](#dataset-details)
  - [Relationship to Source Dataset](#relationship-to-source-dataset)
  - [Curation Rationale](#curation-rationale)
- [Dataset Creation](#dataset-creation)
- [Data Collection and Processing](#data-collection-and-processing)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Source Data](#source-data)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Additional Information](#additional-information)

---

## Dataset Summary

A dataset derived from the National Archives and Records Administration (NARA) series *Case Files of Pension and Bounty-Land Warrant Applications Based on American Revolutionary War Service* ([NARA Catalog Series, NAID 300022](https://catalog.archives.gov/id/300022)). This dataset provides a **file-level representation** of Revolutionary War pension records, aggregating individual page records into complete pension files with associated metadata, extracted text, and transcriptions.

It is derived from the page-level dataset:  
[https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files](https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files)

This dataset was prepared as part of the Revolution Crossroads project:  
[https://www.si.edu/revolution-crossroads](https://www.si.edu/revolution-crossroads)  

---

## Dataset Description

For the initiative *Revolution Crossroads*, the Smithsonian Institution prepared this dataset using data, metadata, and digital objects publicly available from the National Archives Catalog.

### Dataset Details

- **Prepared by**: Smithsonian Institution, Office of Digital & Innovation staff  
- **Shared by**: Revolution Crossroads  
- **Language(s)**: English, some French  
- **License**: Public domain  

---

### Relationship to Source Dataset

This dataset is a transformation of the original [Revolution Crossroads page-level dataset](https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files). For detailed information about:

- source materials  
- digitization processes  
- metadata definitions  
- rights and provenance  

refer to the page-level dataset card:  
[https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files/blob/main/README.md](https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files/blob/main/README.md)  

---

### Curation Rationale

The original dataset is structured at the page level, where each record represents a single page from a pension file. However, pension files are multi-page archival documents that often contain narratives, affidavits, correspondence, and supporting materials that span multiple pages.

This file-level dataset was created to:

- Preserve document-level context across entire pension files
- Support OCR and text extraction workflows at the file level  
- Enable analysis of relationships between individuals, places, and events within a single case file  
- Support entity extraction and historical interpretation across full narrative records  

---

## Dataset Creation

This dataset was derived from the page-level pension dataset by restructuring records from page-level to file-level.

- Page-level records were grouped by NAID (file-level identifier)  
- File-level records retain key metadata from the source dataset  
- Page counts were calculated for each file (`numberOfPages`)  
- Page-level data (images, extracted text, and transcriptions) were retained as lists within each file-level record  
- Some page-level metadata fields not relevant to file-level analysis were removed

A note on archival levels: 
- In most cases, records correspond to file-level groupings. However, a small number of records represent an intermediate “item” level between file and page in the NARA Catalog hierarchy  
- These item-level records were treated equivalently to file-level records in this dataset  
- Any record containing one or more pages was used as the top-level grouping unit (NAID), regardless of whether it was formally classified as a file or item  

Each record in this dataset corresponds to a single pension file or equivalent document-level unit.

---

## Data Collection and Processing

### Supporting Files Available

File-level PDF files are provided in the Files tab for this dataset, within the *media* directory.

- **pdfs**  
  Contains compiled PDF files representing complete pension files. Each PDF corresponds to a single record in the dataset and is constructed from the source page images.

*Note:*  
`pdfObjectID` and `pdfURL` fields refer to PDFs provided by the National Archives Catalog where available. These may be incomplete or inconsistently available. The supplementary PDFs included with this dataset were generated to provide consistent, complete file-level representations.

#### PDF Construction

- Source page images were obtained as JPG files from the NARA Catalog  
- Images were grouped by top-level NAID and compiled into multi-page PDFs  
- PDFs were constructed to represent complete pension files  

To ensure compatibility with downstream processing systems:

- Some PDFs were resized when they exceeded size limits during OCR extraction workflows  
- Resizing was applied selectively to affected files  
- A future update will provide consistently resized PDFs for broader external use  

---

## Dataset Structure

Each record in the dataset corresponds to a single pension file. File-level metadata is represented once per record, while page-level data (images, text, transcriptions) are stored as lists.

---

## Data Fields

- **NAID** *(string)*  
National Archives Identifier for the pension file.  
*Example:*  
`111403815`

- **naraURL** *(string)*  
Link to the pension file in the National Archives Catalog.  
*Example:*  
`https://catalog.archives.gov/id/111403815`

- **title** *(string)*  
Title of the pension file.  
*Example:*  
`Revolutionary War Pension and Bounty Land Warrant Application File B. L. Wt. 2,153-400, Joseph Torrey`

- **logicalDate** *(string)*  
Normalized or machine-readable date, if available.  
*Example:*  
`1836-06-02`

- **pdfObjectID** *(string)*  
Identifier for a file-level PDF provided by the NARA Catalog, when available.  
*Example:*  
`57140166`

- **pdfURL** *(string)*  
URL to a file-level PDF provided by the NARA Catalog, when available.  
*Example:*  
`https://s3.amazonaws.com/NARAprodstorage/.../28482-2016.pdf`

- **pageObjectId** *(list)*  
List of identifiers for individual pages within the file.  
*Example:*  
`["111403816", "111403817"]`

- **pageURL** *(list)*  
List of URLs to page images.  
*Example:*  
`["https://s3.amazonaws.com/NARAprodstorage/.../image1.jpg"]`

- **numberOfPages** *(int64)*  
Number of pages in the pension file.  
*Example:*  
`5`

- **pageImageType** *(string)*  
File format of the page images.  
*Example:*  
`JPG`

- **extractedTextID** *(list)*  
Identifiers for extracted text records.  
*Example:*  
`["19537435", "19537436"]`

- **extractedText** *(list)*  
Extracted text for each page, provided via automated OCR/AI processes.  
*Example:*  
`["State of New York...", "City and County of New York..."]`

- **extractedTextDate** *(list)*  
Dates when extracted text was created.  
*Example:*  
`["2024-11-20T13:30:07.000Z"]`

- **extractedTextContributor** *(string)*  
Source of the extracted text.  
*Example:*  
`FamilySearch`

- **transcriptionID** *(list)*  
Identifiers for transcription records, if available.  
*Example:*  
`["60f6e82a-f53d-4de3-a09b-f4f707046c0f"]`

- **transcriptionText** *(list)*  
Human-created transcription text for pages, where available.  
*Example:*  
`["Gorham Me March 22 1868..."]`

- **transcriptionDate** *(list)*  
Dates when transcriptions were created or updated.  
*Example:*  
`["2025-04-30 17:15:44"]`

---

## Source Data

This dataset is derived from the National Archives and Records Administration series:  
[https://catalog.archives.gov/id/300022](https://catalog.archives.gov/id/300022)  

For full details on the source collection, refer to the page-level dataset card:  
[https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files/blob/main/README.md](https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files/blob/main/README.md)  

---

## Personal and Sensitive Information

No known personal or sensitive information is included beyond what appears in historical archival records. These materials may contain outdated or offensive terminology reflective of the period in which they were created.

---

## Considerations for Using the Data

### Risks and Limitations

- Pension files vary widely in length, structure, and completeness  
- Extracted text accuracy varies, especially for handwritten documents  
- Transcriptions are available for only a portion of records  
- Metadata may be incomplete or inconsistent  

### Recommendations

Researchers should validate extracted information against source images when accuracy is critical and consult the National Archives Catalog for the most up-to-date records.

---

## Additional Information

### Citation Information

**BibTeX**

```
@dataset{RevolutionCrossroads_NARA_FileLevel_2025,
  author = {Revolution Crossroads Project Team},
  title = {American Revolutionary War Pension Files - File-Level},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/RevolutionCrossroads/nara_revolutionary_war_pension_files_file_level}
}
```

**APA**

Revolution Crossroads Project Team. (2025). *American Revolutionary War Pension Files - File-Level* [Data set]. Hugging Face.

---

### Glossary

- **NAID**: National Archives Identifier  
- **Extracted text**: Machine-generated text created from images  
- **Transcription**: Human-created text  
- **Pension file**: A complete archival case file documenting a pension application  

---

### Dataset Card Contact

revolutioncrossroads@si.edu
---