Randomized controlled oncology trials with tumor stage inclusion criteria

Background: Extracting inclusion and exclusion criteria in a structured,
automated fashion remains a challenge to developing better search
functionalities or automating systematic reviews of randomized controlled
trials in oncology. The question “Did this trial enroll patients with
localized disease, metastatic disease, or both?” could be used to narrow
down the number of potentially relevant trials when conducting a search.
Dataset collection: 600 randomized controlled trials from high-impact
medical journals were classified depending on whether they allowed for the
inclusion of patients with localized and/or metastatic disease. The
dataset was randomly split into a training/validation and a test set of
500 and 100 trials respectively. However, the sets could be merged to
allow for different splits. Data properties: Each trial is a row in the
csv file. For each trial there is a doi, a publication date, a title, an
abstract, the abstract sections (introduction, methods, results,
conclusion), several tags associated with the annotation process (text,
_input_hash, _task_hash, options, _view_id, config, accept, answer,
_timestamp, _annotator_id,_session_id), and the assigned labels (answer).