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  - In addition to the classes mentioned in the README for the dataset, there is an additional class in the `class` dataset called `QUOT`. As far as I can tell, this is used for tagging all quotation marks
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  - When the `class` and `pos` configs are loaded, the available class/pos tags are shown at the top
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
 
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  - In addition to the classes mentioned in the README for the dataset, there is an additional class in the `class` dataset called `QUOT`. As far as I can tell, this is used for tagging all quotation marks
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  - When the `class` and `pos` configs are loaded, the available class/pos tags are shown at the top
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+ ## Dataset Statistics:
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+ The following table summarises the corpus make-up:
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+
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+ |PERIOD | #authors | #texts |CQP3.1 | non-PUNC |
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+ |-----------|----------|---------------------|--------|---------|
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+ |1710-1780 | 51 | 88 | 12,182,064 | 10,415,721|
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+ |1780-1850 | 70 | 99 | 13,300,457 | 11,269,977|
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+ |1850-1920 | 91 | 146 | 14,858,239 | 12,657,159|
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+ |TOTAL | 212 | 333 | 40,340,760 | 34,342,857|
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+
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+ |GENRE (all tokens):| | | |
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+ |---|---|---|---|
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+ | | **1710-1780**| **1780-1850** | **1850-1920** |
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+ |Narrative fiction | 5,405,645 | 5,780,352 | 7,561,339 |
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+ |Narrative non-fiction | 2,145,946 | 2,261,485 | 1,097,487 |
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+ |Drama | 523,318 | 441,040 | 763,352 |
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+ |Letters | 1,208,219 | 842,795 | 554,046 |
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+ |Treatise | 1,263,090 | 1,927,272 | 2,030,210 |
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+ |Other | 1,635,846 | 2,047,513 | 2,851,805 |
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+
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)