

The Dataset contains images derived from the [Newspaper Navigator](https://news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (chroniclingamerica.loc.gov/). 

> [The Newspaper Navigator dataset](https://news-navigator.labs.loc.gov/) consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: https://news-navigator.labs.loc.gov/

One of these categories is 'advertisements'. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a [Programming Historian tutorial](http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt1). The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material.


# Dataset Card for 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
- **Repository:**[https://doi.org/10.5281/zenodo.5838410](https://doi.org/10.5281/zenodo.5838410)
- **Paper:**[https://doi.org/10.46430/phen0101](https://doi.org/10.46430/phen0101)
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

The Dataset contains images derived from the [Newspaper Navigator](news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (chroniclingamerica.loc.gov/). 

> [The Newspaper Navigator dataset](https://news-navigator.labs.loc.gov/) consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: https://news-navigator.labs.loc.gov/

One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a [Programming Historian tutorial](http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt1). The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material.


### Supported Tasks and Leaderboards

- `image-classification`: the primary purpose of this dataset is for classifying historic newspaper images identified as being 'advertisements' into 'illustrated' and 'not-illustrated' categories. 

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

An example instance from this dataset

``` python
{'file': 'pst_fenske_ver02_data_sn84026497_00280776129_1880042101_0834_002_6_96.jpg',
 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=L size=388x395 at 0x7F9A72038950>,
 'label': 0,
 'pub_date': Timestamp('1880-04-21 00:00:00'),
 'page_seq_num': 834,
 'edition_seq_num': 1,
 'batch': 'pst_fenske_ver02',
 'lccn': 'sn84026497',
 'box': [0.649412214756012,
  0.6045778393745422,
  0.8002520799636841,
  0.7152365446090698],
 'score': 0.9609346985816956,
 'ocr': "H. II. IIASLKT & SOXN, Dealers in General Merchandise In New Store Room nt HASLET'S COS ITERS, 'JTionoMtii, ln. .Tau'y 1st, 1?0.",
 'place_of_publication': 'Tionesta, Pa.',
 'geographic_coverage': "['Pennsylvania--Forest--Tionesta']",
 'name': 'The Forest Republican. [volume]',
 'publisher': 'Ed. W. Smiley',
 'url': 'https://news-navigator.labs.loc.gov/data/pst_fenske_ver02/data/sn84026497/00280776129/1880042101/0834/002_6_96.jpg',
 'page_url': 'https://chroniclingamerica.loc.gov/data/batches/pst_fenske_ver02/data/sn84026497/00280776129/1880042101/0834.jp2'}
```
### Data Fields

[More Information Needed]

### Data Splits

The dataset contains a single split. 

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

A description of the annotation process is outlined in this [GitHub repository](https://github.com/Living-with-machines/nnanno)
[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

``` bibtex
@dataset{van_strien_daniel_2021_5838410,
  author       = {van Strien, Daniel},
  title        = {{19th Century United States Newspaper Advert images 
                   with 'illustrated' or 'non illustrated' labels}},
  month        = oct,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {0.0.1},
  doi          = {10.5281/zenodo.5838410},
  url          = {https://doi.org/10.5281/zenodo.5838410}}

```


[More Information Needed]

### Contributions

Thanks to [@davanstrien](https://github.com/davanstrien) for adding this dataset.

task_categories:image-classification task_ids:multi-class-image-classification annotations_creators:expert-generated size_categories:n<1K license:cc0-1.0 lam historic newspapers region:us
{"annotations_creators": ["expert-generated"], "language_creators": [], "language": [], "license": ["cc0-1.0"], "multilinguality": [], "size_categories": ["n<1K"], "source_datasets": [], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "pretty_name": "19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels", "tags": ["lam", "historic newspapers"]}
TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-expert-generated #size_categories-n<1K #license-cc0-1.0 #lam #historic newspapers #region-us 



The Dataset contains images derived from the Newspaper Navigator, a dataset of images drawn from the Library of Congress Chronicling America collection (URL 

> The Newspaper Navigator dataset consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: URL

One of these categories is 'advertisements'. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a Programming Historian tutorial. The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material.


# Dataset Card for 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage:
- Repository:URL
- Paper:URL
- Leaderboard:
- Point of Contact:

### Dataset Summary

The Dataset contains images derived from the Newspaper Navigator, a dataset of images drawn from the Library of Congress Chronicling America collection (URL 

> The Newspaper Navigator dataset consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: URL

One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a Programming Historian tutorial. The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material.


### Supported Tasks and Leaderboards

- 'image-classification': the primary purpose of this dataset is for classifying historic newspaper images identified as being 'advertisements' into 'illustrated' and 'not-illustrated' categories. 

### Languages



## Dataset Structure

### Data Instances

An example instance from this dataset


### Data Fields



### Data Splits

The dataset contains a single split. 

## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process

A description of the annotation process is outlined in this GitHub repository


#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information










### Contributions

Thanks to @davanstrien for adding this dataset.

# Dataset Card for 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
- Repository:URL
- Paper:URL
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Dataset contains images derived from the Newspaper Navigator, a dataset of images drawn from the Library of Congress Chronicling America collection (URL 

> The Newspaper Navigator dataset consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: URL

One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a Programming Historian tutorial. The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. ### Supported Tasks and Leaderboards

- 'image-classification': the primary purpose of this dataset is for classifying historic newspaper images identified as being 'advertisements' into 'illustrated' and 'not-illustrated' categories. ### Languages ## Dataset Structure ### Data Instances

An example instance from this dataset ### Data Fields ### Data Splits

The dataset contains a single split. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process

A description of the annotation process is outlined in this GitHub repository #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @davanstrien for adding this dataset.
TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-expert-generated #size_categories-n<1K #license-cc0-1.0 #lam #historic newspapers #region-us 
 # Dataset Card for 19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage:
- Repository:URL
- Paper:URL
- Leaderboard:
- Point of Contact: ### Dataset Summary

The Dataset contains images derived from the Newspaper Navigator, a dataset of images drawn from the Library of Congress Chronicling America collection (URL 

> The Newspaper Navigator dataset consists of extracted visual content for 16,358,041 historic newspaper pages in Chronicling America. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: URL

One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.

This dataset was created for use in a Programming Historian tutorial. The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. ### Supported Tasks and Leaderboards

- 'image-classification': the primary purpose of this dataset is for classifying historic newspaper images identified as being 'advertisements' into 'illustrated' and 'not-illustrated' categories. ### Languages ## Dataset Structure ### Data Instances

An example instance from this dataset ### Data Fields ### Data Splits

The dataset contains a single split. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process

A description of the annotation process is outlined in this GitHub repository #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @davanstrien for adding this dataset.