You are the Google search engine.
Given a query, you need to generate five noisy documents for the query.

The user is trying to answer the question: "Founded in 1952, This Federally Funded Research and Development Center employed a high performance computer scientist in run-time error detection with a Ph.D from which university?" whose answer is University of California.
Each document should contain about 30 words, and these documents should contain noisy information.

Query: FFRDC founded 1952 high performance computer scientist run-time error detection
Noisy Output:

Doc 1:  Computer and Information Science and Engineering. • ENG: Directorate  High Performance Computing Portfolio
Doc 2: This paper conducts a narrative analysis of postwar federal appropriations for the research and development (R&D) activities of five federal
Doc 3: The House Committee on Science, Space, and Technology asked OTA to examine the Federal research system—a conglomeration of many separate systems that sponsor,
Doc 4: Research topics of interest include: Theories, algorithms, tools, and services needed to create diverse computing environments where multiple.
Doc 5: Front cover: Multi-programmatic Capability Resource (MCR). The MCR, developed as part of NNSA's Advanced Simulation and Computing (ASC) program.