Add 31 PRBench task specifications (instructions, task.yaml, paper markdown; ground truth withheld)
a48f2b1 verified | # PRBench Task Configuration | |
| task_id: task_li_2014 | |
| # --- Paper Info --- | |
| paper: | |
| title: "Classical-Quantum Correspondence for Above-Threshold Ionization" | |
| author: "Min Li, Ji-Wei Geng, Hong Liu, Yongkai Deng, Chengyin Wu, Liang-You Peng, Qihuang Gong, Yunquan Liu" | |
| doi: "10.1103/PhysRevLett.112.113002" | |
| year: 2014 | |
| paper_file: "qtmc.md" | |
| # --- Files --- | |
| instruction_file: "instruction.md" | |
| metadata_file: "metadata.md" | |
| ground_truth_data_dir: "data" | |
| ground_truth_code_dir: "reproduce" | |
| # --- Expected Outputs --- | |
| expected_outputs: | |
| analysis: | |
| - "reproduction/ANALYSIS.md" | |
| code: | |
| - "reproduction/qtmc_simulation.py" | |
| data: | |
| - "data/fig1d.csv" | |
| # --- Docker Environment --- | |
| docker: | |
| image: "python:3.11-slim" | |
| memory_limit: "4g" | |
| timeout: 7200 | |
| pip_install: | |
| - numpy | |
| - scipy | |
| - matplotlib | |
| # --- Grading Rubric --- | |
| grading: | |
| dimensions: | |
| - name: "methodology_understanding" | |
| weight: 0.20 | |
| description: > | |
| Does the agent's ANALYSIS.md correctly describe the QTMC methodology: | |
| ADK tunneling theory for initial conditions, Newton's equations with | |
| Coulomb potential for classical propagation, classical action / phase | |
| accumulation for quantum interference, and Kepler transformation for | |
| asymptotic momenta? Compare against metadata.md. | |
| - name: "code_correctness" | |
| weight: 0.15 | |
| description: > | |
| Are all required code files present? Does the code correctly implement: | |
| ADK tunneling rate and initial condition sampling, trapezoidal laser | |
| pulse envelope, Newton's equations with Coulomb + laser field, | |
| phase/action integration along trajectories, Kepler transformation | |
| for asymptotic momentum, and complex amplitude accumulation on | |
| momentum grid? | |
| - name: "data_accuracy" | |
| weight: 0.50 | |
| description: > | |
| How well does the generated CSV data match the ground truth? | |
| Due to Monte Carlo stochasticity, use statistical comparison: | |
| correlation coefficient, KL divergence, structural feature matching | |
| (ATI rings, Coulomb focusing, interference carpet). Normalize both | |
| distributions before comparison. Allow for statistical fluctuations | |
| inherent to Monte Carlo sampling. | |
| - name: "completeness" | |
| weight: 0.15 | |
| description: > | |
| Are the CSV data file, code files, and ANALYSIS.md present? | |
| Are the files non-trivial (not empty/placeholder)? | |
| # --- Code-Only Evaluation Mode --- | |
| code_only: | |
| instruction_suffix: | | |
| ## IMPORTANT: Code-Only Mode | |
| In this task you are in **code-only mode**. You must: | |
| 1. Read and analyze the paper | |
| 2. Write `reproduction/ANALYSIS.md` with your methodology analysis and all formulas | |
| 3. Implement ALL code files under `reproduction/` | |
| 4. **DO NOT** run the simulation or generate CSV data files | |
| 5. Focus on writing correct, complete, and well-structured code | |
| Your deliverables are ONLY the analysis document and code files. | |
| Do NOT produce any CSV data files. | |
| expected_outputs: | |
| analysis: | |
| - "reproduction/ANALYSIS.md" | |
| code: | |
| - "reproduction/qtmc_simulation.py" | |
| grading: | |
| dimensions: | |
| - name: "methodology_understanding" | |
| weight: 0.25 | |
| description: > | |
| Does ANALYSIS.md correctly describe the QTMC methodology including | |
| ADK theory, classical trajectory propagation with Coulomb potential, | |
| phase accumulation, and interference? Compare against metadata.md. | |
| - name: "code_correctness" | |
| weight: 0.50 | |
| description: > | |
| Read every code file carefully. Check physical and algorithmic correctness: | |
| - ADK tunneling rate formula and initial condition sampling | |
| - Trapezoidal laser pulse envelope and electric field | |
| - Newton's equations of motion with Coulomb + laser field | |
| - Classical action integration (kinetic, Coulomb, Ip terms) | |
| - Kepler transformation for asymptotic momentum | |
| - Complex amplitude accumulation and momentum grid binning | |
| - Correct parameter values (E1=0.0534, w1=0.057, Ip=0.4456, Z=1) | |
| Compare against ground truth formulas in metadata.md. | |
| - name: "code_quality" | |
| weight: 0.10 | |
| description: > | |
| Is the code well-structured, readable, and does it follow | |
| reasonable modular organization? | |
| - name: "completeness" | |
| weight: 0.15 | |
| description: > | |
| Are all code files and the ANALYSIS.md present and non-trivial? | |