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Dataset Card for ERWT Hertiage Made Digital Newspapers training data
Dataset Summary
This dataset contains text extracted at the page level from historic digitised newspapers from the Heritage Made Digital newspaper digitisation program. The newspapers in the dataset were published between 1800 and 1870.
The data was primarily created as a dataset for training 'time-aware' language models.
The dataset contains text generated from Optical Character Recognition software on digitised newspaper pages. This dataset includes the plain text from the OCR alongside some minimal metadata associated with the newspaper from which the text is derived and OCR confidence score information generated from the OCR software.
Breakdown of word counts over time
Whilst the dataset covers a time period between 1800 and 1870, the number of words in the dataset is not distributed evenly across time in this dataset. The figures below give a sense of the breakdown over time in terms of the number of words which appear in the dataset.
| year | total word_count | unique words |
|---|---|---|
| 1800 | 282,554,255 | 15,506,515 |
| 1810 | 328,817,174 | 18,295,974 |
| 1820 | 328,817,174 | 18,295,974 |
| 1830 | 194,958,624 | 10,816,938 |
| 1840 | 305,545,086 | 17,018,560 |
| 1850 | 376,194,785 | 20,942,876 |
| 1860 | 305,545,086 | 17,018,560 |
| 1870 | 51,241,037 | 2,284,803 |
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Dataset Structure
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Dataset Creation
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Source Data
Initial Data Collection and Normalization
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Annotations
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Contributions
Thanks to @github-username for adding this dataset.
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