  This work introduces a companion reproducible paper with the aim of allowing
the exact replication of the methods, experiments, and results discussed in a
previous work [5]. In that parent paper, we proposed many and varied techniques
for compressing indexes which exploit that highly repetitive collections are
formed mostly of documents that are near-copies of others. More concretely, we
describe a replication framework, called uiHRDC (universal indexes for Highly
Repetitive Document Collections), that allows our original experimental setup
to be easily replicated using various document collections. The corresponding
experimentation is carefully explained, providing precise details about the
parameters that can be tuned for each indexing solution. Finally, note that we
also provide uiHRDC as reproducibility package.

Data Structures and Algorithms;Performance