Table Recognition Benchmark on Biomedical Literature on Neurological Disorders

<p>The dataset contains 1650 tables from 1164 PMC OA articles in the context of neurological disorders. The tables are structured in the International Conference on Document Analysis and Recognition (ICDAR) format.</p> <p>The additional csv file contains a labeling into 3 different complexity classes in the format:</p> <p>class document_id table_id</p> <p>with the classes being:</p> <p>0 = simple<br> 1 = complicated<br> 2 = complex</p> <p>You may use the scripts from <a href="https://github.com/TimAdams84/pmc-downloader">this repository</a> to bulk download PDF sources from PMC.</p> <p>A script for evaluating results against the groundtruth data can be found <a href="https://github.com/mnamysl/benchmarking_table_recogn">here</a>.</p>