Training of Automatic Post-editing and Quality Estimation components / Quality Estimation / Error Analysis. Set of 195,000 domain-specific Human Post-Edited (HPE) triplets for four language pairs and six translation engines. Each quadruplet consists in (source, reference, target, HPE). The domain for En-De and En-Cz is IT, the domain for En-Lv and De-En is Pharma. A total of six translation engines have been used to produce the targets that have been post-edited: PBMT from KIT and NMT (using Nematus) for En-De, PBMT from KIT for De-En, PBMT from CUNI for En-Cz and both PBMT and NMT systems from Tilde for En-Lv. For each language pair, one unique set of source segments has been used as input to the different translation engines. The De-En and the En-Cz have provided 45,000 target segments each, both En-De engines have provided 30,000 target segments each, and both En-Lv engines have provided 22,500 target segments each. En-De and De-En HPEs have been collected by professional translators from Text&Form. En-Lv HPEs have been collected by professional translators from Tilde. En-Cz HPEs have been collected by professional translators from Traductera.