LSHTC is a series of challenges which aims to assess the performance of classification systems in large-scale classification in a a large number of classes (up to hundreds of thousands). This paper describes the dataset that have been released along the LSHTC series. The paper details the construction of the datsets and the design of the tracks as well as the evaluation measures that we implemented and a quick overview of the results. All of these datasets are available online and runs may still be submitted on the online server of the challenges.
Cite
@article{arxiv.1503.08581,
title = {LSHTC: A Benchmark for Large-Scale Text Classification},
author = {Ioannis Partalas and Aris Kosmopoulos and Nicolas Baskiotis and Thierry Artieres and George Paliouras and Eric Gaussier and Ion Androutsopoulos and Massih-Reza Amini and Patrick Galinari},
journal= {arXiv preprint arXiv:1503.08581},
year = {2015}
}