DEFT English Light and Rich ERE Annotation was developed by the Linguistic Data Consortium (LDC) and consists of 1190 English discussion forum, newswire and proxy documents annotated for entities, relations and events (ERE). DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships and anomaly detection. LDC supported the DEFT program by collecting, creating and annotating a variety of data sources. Light ERE annotation labels entity mentions for the target set of entity, relation and event types between and among those entities including coreference. Rich ERE annotation expands types and tagging in the entities, relations, and events annotation tasks and replaces strict event coreference with a more loosely defined event hopper annotation. Further information about the annotation methodology is contained in the documentation accompanying this release. The source data consists of English discussion forum web text collected by LDC for the DARPA BOLT program and contained in BOLT English Discussion Forums (LDC2017T11); newswire documents published in various data sets released in the TAC KBP project (Text Analysis Conference Knowledge Base Population; and proxy documents intended to mimic government analysis reports of newswire content published in DEFT Narrative Text (LDC2016T07). 902 documents were annotated following Light ERE annotation guidelines. 288 documents were labeled with Rich ERE annotation in a second pass after being annotated for Light ERE. Below is a data summary: Light ERE Rich ERE Files 902 288 Words 505,837 180,040 Entity Mentions 76,528 34,606 Entities 23,313 11,546 Fillers n/a 2,324 Relations 9,313 4,193 Event Mentions 4,066 5,763 Event Hoppers 2,898 4,143 Source documents are in plain text format, annotation is in XML format, and both are UTF-8 encoded.