Sadly we cannot share the whole text of the articles we labelled/annotated due to the copyright infringment laws.
Therefore we prepared three scripts for Document level data to automatically download from provided urls and "fill in the blanks".
There is no way to make this whole process lossless due to the those tricky, everchanging htmls.
Even though we try to compensate for every possible problem, there will be some changes from the original data we labelled. So we will evaluate how this small change effects a baseline model, and will share the results. \
To get your data ready, you need to go into each of the folder (Document) and run bash run.sh
Firstly install additional requirements in requirements_additional. You can do so by running apt-get install line in Ubuntu. For python packages, you need to visit the github pages and follow install instructions.
For python2 requirements, run -> pip2 install -r requirements2.txt
For python3 requirements, run -> pip3 install -r requirements3.txt
You can find the log file for scrapy and selenium as collector/log.txt and collector/ghostdriver.log respectively.
For the log file of run.sh of the specific task (Document, Sentence), you can check the output/{task_name}/{data_set}.log
For the output files, check under the output/{task_name} folder for {data_set}_filled.json files.