hmd-erwt-training / README.md
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metadata
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

Dataset Description

  • Homepage:
  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact:

Dataset Summary

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

Total and unique word count over time

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

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

[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

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.