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  ### Dataset Summary
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- 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.
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  #### Breakdown of word counts over time
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  | year | total word_count | unique words |
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  |-------:|-------------------:|---------------:|
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  | 1810 | 328,817,174 | 18,295,974 |
 
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  ### Dataset Summary
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+ This dataset contains text extracted at the page level from historic digitised newspapers from the [Heritage Made Digital](https://bl.iro.bl.uk/collections/9a6a4cdd-2bfe-47bb-8c14-c0a5d100501f?locale=en) newspaper digitisation program. The newspapers in the dataset are published between
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+ The data was primarily created as a dataset for training 'time-aware' language models.
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+ 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.
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  #### Breakdown of word counts over time
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  | year | total word_count | unique words |
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  |-------:|-------------------:|---------------:|
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  | 1810 | 328,817,174 | 18,295,974 |