Add dataset: royal_society_corpus

### A URL for this dataset

https://fedora.clarin-d.uni-saarland.de/rsc/

### Dataset description

> The Royal Society Corpus (RSC) is based on the first two centuries of the [Philosophical Transactions of the Royal Society of London](http://rstl.royalsocietypublishing.org/) from its beginning in 1665 to 1869. It includes all publications of the journal written mainly in English and containing running text. The Philosophical Transactions was the first periodical of scientific writing in England. Founded in 1665 by Henry Oldenburg, the first secretary of the Royal Society, it initially contained excerpts of letters of his scientific correspondence, reviews and summaries of recently-published books, and accounts of observations and experiments.

This offers an interesting dataset of text from the scientific domain across a long time period (1665-1869). Additionaly the dataset contains a range of annotations:

> The corpus is tokenized and linguistically annotated for lemma and part-of-speech using [TreeTagger](http://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/) (Schmid 1994, Schmid 1995). For spelling normalization we use a trained model of [VARD](http://ucrel.lancs.ac.uk/vard/about/) (Baron and Rayson 2008). As a special feature, we encode with each unit (word token) its average surprisal, i.e. the average amount of information it encodes in number of bits, with words as units and trigram as contexts [cf. Genzel and Charniak 2002).
Detailed information on the linguistic and structural annotation of the RSC can be found [here](https://fedora.clarin-d.uni-saarland.de/rsc/annotation.html).

> The RSC consists of approximately 35 million token and is encoded for text type (abstracts, articles), author, year of publication. Information about decade and 50-year periods are also available allowing for a diachronic analysis of different granularity. Token sizes of the different subcorpora and other corpus statistics can be found [here](https://fedora.clarin-d.uni-saarland.de/rsc/statistics.html).

### Dataset modality

Text

### Dataset licence

Creative Commons Attribution Non Commercial Share Alike 4.0 International

### Other licence

_No response_

### How can you access this data

As a download from a repository/website

### Confirm the dataset has an open licence

- [X] To the best of my knowledge, this dataset is accessible via an open licence

### Contact details for data custodian

j.knappen@mx.uni-saarland.de