| --- |
| task_categories: |
| - text-generation |
| language: |
| - zh |
| --- |
| |
| # QuestBench |
|
|
| **QuestBench** is a course-curated benchmark of **256 expert-level questions** for evaluating the deep-search capabilities of language models, introduced in the paper [Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work](https://huggingface.co/papers/2605.21413). |
|
|
| 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 |
| ``` |
