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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ ---
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+ ---
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+ pretty_name: DedeuceBench (Dev)
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+ license: MIT
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+ tags:
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+ - llm-agents
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+ - active-learning
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+ - tool-use
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+ - finite-state-machines
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+ - benchmark
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+ ---
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+
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+ # DedeuceBench Dev Split
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+
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+ This dataset provides the public development split for DedeuceBench, an interactive active‑learning benchmark over hidden Mealy machines. Each item in the split is a config entry (seeded episode) defined in `levels_dev.json` under subset `dev`.
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+
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+ ## Summary
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+ - Task: Identification-first — agents must probe a hidden finite-state transducer under a strict query budget using tool calls (`act`, `submit_table`) and submit an exact transition table to succeed.
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+ - Deterministic: Episodes are seeded; there is no ground-truth leak in the prompts.
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+ - Split: `dev` subset mirrors an easy configuration (e.g., S=2, budget=25) for quick iteration and public sharing.
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+
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+ ## Files
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+ - `levels_dev.json`: multi-split JSON with a `dev` subset containing episode items by seed.
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+
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+ Example schema fragment:
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+ ```
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+ {
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+ "splits": {
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+ "dev": {
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+ "mode": "basic",
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+ "trap": false,
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+ "feedback": true,
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+ "budget": 25,
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+ "n_states": 2,
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+ "target_len": 8,
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+ "variety": false,
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+ "items": [ {"seed": 1001}, ... ]
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+ }
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+ }
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+ }
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+ ```
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+
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+ ## Usage
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+ Programmatic download:
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+ ```
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+ pip install huggingface_hub
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+ python - << 'PY'
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+ from huggingface_hub import hf_hub_download
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+ p = hf_hub_download(
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+ repo_id="comfortably-dumb/dedeucebench-dev",
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+ filename="levels_dev.json",
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+ repo_type="dataset",
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+ )
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+ print(p)
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+ PY
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+ ```
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+
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+ Evaluate with the DedeuceBench CLI (deterministic baseline):
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+ ```
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+ dedeucebench-eval \
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+ --split /path/to/levels_dev.json \
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+ --subset dev \
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+ --model heuristic:none \
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+ --out results.dev.jsonl
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+
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+ dedeucebench-aggregate results.dev.jsonl > leaderboard.dev.csv
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+ ```
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+
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+ Using OpenRouter (OpenAI-compatible):
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+ ```
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+ export OPENAI_API_KEY=... # your OpenRouter key
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+ export OPENAI_BASE_URL=https://openrouter.ai/api/v1
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+
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+ dedeucebench-eval \
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+ --split /path/to/levels_dev.json \
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+ --subset dev \
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+ --provider openrouter \
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+ --model openai/gpt-5-mini \
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+ --out results.openrouter_gpt5mini.dev.jsonl
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+ ```
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+
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+ ## License
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+ MIT
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+
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+ ## Citation
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+ - Concept DOI (all versions): 10.5281/zenodo.17166596
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+ - See the main repo README for full citation details.
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+