# deepsynth / 22 - taskset: [deepsynth](https://harnessreport.com/tasks/deepsynth.md) - difficulty: difficult - category: information-synthesis - language: - runnable from the site: no - agent timeout: 3600s ## Results by harness _none yet_ ## Instruction ``` You are given a deep information synthesis question that requires gathering data from multiple web sources and producing a structured JSON answer. As a Swiss Federal Statistics Officer, I am studying goods transport performance by railway. Using data for the years 2008–2024, calculate the arithmetic mean of the year-over-year percentage changes (from 2009 through 2024) for domestic transport, import, export, and transit. Provide the answer as a JSON object where each key is the transport type and each value is the percentage change (rounded to one decimal). Research this question thoroughly by browsing the web. Find relevant data from official sources (government databases, statistical offices, international organizations). Synthesize the information into a single JSON answer. Write your final answer as a valid JSON dictionary to `/app/answer.json`. The answer should be a JSON object matching the format specified in the question above (typically string keys with numeric values). Example answer format: ```json {"Country A": 1.23, "Country B": 4.56} ``` **Important:** - You should ONLY interact with the environment provided to you AND NEVER ASK FOR HUMAN HELP. - Show your work and reasoning before writing the final answer. - `/app/answer.json` should contain ONLY the valid JSON dictionary — no explanation, no markdown fencing. ``` --- 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