Document Type



Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Grant Number



Computer Sciences, Information Science, Linguistics


This archive contains a collection of pseudo-corpora. These are text files that contain pseudo-sentences generated artificially from a random walk over the English WordNet taxonomy.



The random walk algorithm produces a pseudo-sentence from WordNet by randomly picking a node (SynSet) in WordNet, randomly choosing a word in the SynSet, and then randomly picking a connected node and repeating the process. At every step there is a 15% chance for the random walk to stop; it also stops if it has no more connected nodes to take. Once the walk stops, a sentence is generated, and the same process repeats for each new sentence.

Each line in the generated file represents one pseudo-sentence, where words are delimited by spaces.
Example sentences:
measure musical notation tonality minor mode
Dutch-processed cocoa powder chocolate milk

The corpus files are different in size, as well as in some parameters that were used to generate them.
The parameters are:
- size : number of sentences/lines in the corpus
- direction : the direction that the random walk over WordNet was allowed to go while generating sentences (possibilities are up/down/both)
- minimal sentence length : the shortest length sentence (in number of words) (3 kB)
Readme file containing a detailed description of the resource



File Format


Viewing Instructions

The corpora are compressed into a gzip archive. To view them they first need to be extracted, which can be done using most standard archive managers (e.g 7-Zip, WinRAR, etc.) Once extracted, the provided .txt files can be viewed with a simple text editor, such as notepad or similar.


The creation of these resources was supported by the ADAPT Centre for Digital Content Technology (, funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.

Creative Commons License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.


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