The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction - dataset

<p><strong>Brief description</strong></p> <p>The zip file contains two folders. The <strong>&quot;websites&quot;</strong> folder includes crawled web pages from real websites, like a agatameble.pl (an e-shop website), filmweb.pl (a website about films), and ptaki.info (a website about birds). The <strong>&quot;reference-seeds&quot;</strong> folder contains three subfolders, i.e. agatameble.pl, filmweb.pl, and ptaki.info. Each subfolder contains reference-seeds.csv file. The file contains data, i.e. reference instances - carefully labelled ground-truth of corresponding values in each web page of given websites mentioned above.</p> <p><strong>Reference</strong></p> <p>I would appreciate it if you cite the following paper when using the dataset:</p> <p>Marcin Mirończuk The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction, Knowledge and Information Systems,&nbsp;Volume 54, Issue&nbsp;3, p. 711&ndash;776, 2018, (pdf Open Access &ndash; http://rdcu.be/u88F lub DOI http://dx.doi.org/10.1007/s10115-017-1097-2)</p>