# widesearch / widesearch-ws-en-055 - taskset: [widesearch](https://harnessreport.com/tasks/widesearch.md) - difficulty: hard - category: information-retrieval - language: - runnable from the site: no - agent timeout: 1800s ## Results by harness _none yet_ ## Instruction ``` Retrieve the details about, Location ( Country, City and or State/Province), Owning Entity/Company, and Attendance( 2023, in thousands) of the top 25 amusement/theme parks worldwide jointly published by AECOM and the Themed Entertainment Association (TEA) Please organize the results in one Markdown table with the following columns: Park, Location, Owning Entity/Company, Attendance (in thousands) Don't ask me any questions, just output the results according to the columns without omitting cells arbitrarily. The output format is ```markdown {data_content} ```. --- **Important:** Write your final answer as a Markdown table to the file `/workspace/output.md`. The file should contain ONLY the Markdown table (with header row and separator row). Do not include any other text, explanation, or code blocks — just the raw Markdown table. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp