annotations_creators:
- no-annotation
language:
- en
language_creators:
- machine-generated
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: Dataset Card for ERWT Hertiage Made Digital Newspapers training data
size_categories:
- 100K<n<1M
source_datasets: []
tags:
- library,lam,newspapers,1800-1900
task_categories:
- fill-mask
task_ids:
- masked-language-modeling
Dataset Card for ERWT Hertiage Made Digital Newspapers training data
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This dataset contains text extracted at the page level from digitised newspapers from the Heritage Made Digital newspaper digitisation program. The data was primarily created as a dataset for training 'time-aware' language models. The dataset contains text generated from running Optical Character Recognition software on digitised newspaper pages.
Breakdown of word counts over time
| year | total word_count | unique words |
|---|---|---|
| 1810 | 328,817,174 | 18,295,974 |
| 1830 | 194,958,624 | 10,816,938 |
| 1870 | 51,241,037 | 2,284,803 |
| 1860 | 305,545,086 | 17,018,560 |
| 1850 | 376,194,785 | 20,942,876 |
| 1800 | 282,554,255 | 15,506,515 |
| 1820 | 328,817,174 | 18,295,974 |
| 1840 | 305,545,086 | 17,018,560 |
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
Thanks to @github-username for adding this dataset.