**Introduction** KAIROS Phase 2 Quizlet (LDC2025T15) was developed by the Linguistic Data Consortium (LDC). It contains English and Spanish text, video and image data and annotations used for pre-evaluation research and system development during Phase 2 of the DARPA KAIROS program. KAIROS Quizlets were a series of narrowly defined tasks designed to explore specific evaluation objectives enabling KAIROS system developers to exercise individual system components on a small data set prior to the full program evaluation. This corpus contains the complete set of Quizlet data used in Phase 2 which focused on five real-world complex events (CEs) within the Disease Outbreak (DO) scenario: CE2002: Clostridium perfringens, Chipotle restaurant, Ohio, 2018 CE2004: Salmonella, from peanut butter, originated from Georgia peanut factory 2008 CE2011: 2011 E. coli linked to contact with livestock at fair, North Carolina CE2019: 2017 Botulism from nacho cheese sauce, California CE2039: 1976 Philadelphia Legionnaires' disease outbreak The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus. **Data** Five quizlets were developed in Phase 2 (Quizlets 5 - 9). In additon to the source documents, this release contains the contents of Quizlet 6 (source documents and manual annotation), Quizlet 7 (source documents, updated annotation and graph G), Quizlet 8 (source documents, updated annotation, and graph G), and Quizlet 9 (source documents, manual annotation, and graph G). Quizlet 5 (schema representation development) did not require data or annotation and is not included in this release. Source data was collected from the web by LDC; 66 root web pages were collected and processed, yielding 65 text data files, 890 image files, and 10 video files. Annotation steps included labeling scenario-relevant events and relations for each document to develop a structured representation of temporally-ordered events, relations and arguments, to generate a reference knowledge graph, and to link labeled entries to a knowledge base derived from a Wikidata-based ontology.. Source data is presented in various formats: .gif, .jpg,. ltf, .mp4, .png, .psm, and .svg. Annotations are presented as tab separated files (.tab) for temporal ordering, relations, events, and arguments. Software tools are also included in this release. The tools recreate original source data from the processed XML material. ltf2rsd.perl -- convert ltf.xml files to rsd.txt (raw-source-data) ltfzip2rsd.perl -- extract and convert ltf.xml files from zip archives Sponsorship KAIROS was sponsored by the Air Force Research Laboratory (AFRL) and the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-19-S-0014.

Creator(s)

Song Chen

Ann Bies

Christopher Caruso

Jennifer Tracey

Stephanie Strassel

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Linguistic Data Consortium