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9fb523b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # QuestBench
**QuestBench** is a course-curated benchmark of **256 expert-level questions**
for evaluating the deep-search capabilities of language models. Questions are
long-tail queries spanning **14 normalized domains** in the humanities and
social sciences (Literature, Law, History, Foreign Languages, Social
Sciences, Arts, Archaeology, Journalism, …). Each question, reference answer,
and grading rubric is in Chinese; the model under evaluation may search and
read in any language.
## Files
- `questbench.jsonl` — 256 questions, one JSON record per line.
- `.claude.json` — [Claude Code](https://www.anthropic.com/claude-code) MCP server config.
- `vision_server.py` — local MCP server proxying image analysis to OpenRouter.
- `package.json`, `package-lock.json` — npm dependencies.
Each JSONL record has four fields: `domain`, `question`, `answer`,
`grading_criteria` (the rubric an LLM judge uses to assign a 0–100 score).
## Run
Setup:
```bash
brew install --cask claude # Claude Code CLI
brew install jq node uv
npm install
export ANTHROPIC_API_KEY=... # Claude
export SERPER_API_KEY=... # https://serper.dev
export OPENROUTER_API_KEY=... # https://openrouter.ai (vision)
```
Run a single question:
```bash
QUESTION=$(jq -r '.question' questbench.jsonl | head -n 1) && \
claude -p "$QUESTION" \
--mcp-config ./.claude.json --strict-mcp-config \
--permission-mode bypassPermissions \
--disallowedTools WebSearch WebFetch \
--output-format stream-json --verbose
```
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