Add 31 PRBench task specifications (instructions, task.yaml, paper markdown; ground truth withheld)
a48f2b1 verified Download tasks/task_wang_2015/task.yaml from Rise-AGI/PRBench: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/datasets/Rise-AGI/PRBench/resolve/main/tasks/task_wang_2015/task.yaml
- Command line
-
hf download hf://datasets/Rise-AGI/PRBench/tasks/task_wang_2015/task.yaml
-
curl -L -o task.yaml https://huggingface.co/datasets/Rise-AGI/PRBench/resolve/main/tasks/task_wang_2015/task.yaml
4.54 kB
| # PRBench Task Configuration | |
| # Each paper has one task.yaml that contains ALL task-specific information. | |
| # Agent code is fully generic and reads everything from this file. | |
| task_id: task_wang_2015 | |
| # --- Paper Info --- | |
| paper: | |
| title: "Quantum Computation under Micromotion in a Planar Ion Crystal" | |
| author: "S.-T. Wang, C. Shen, L.-M. Duan" | |
| doi: "10.1038/srep08555" | |
| year: 2015 | |
| paper_file: "MicroOf2DTrap.md" # relative to task dir | |
| # --- Files --- | |
| instruction_file: "instruction.md" # what the white agent receives | |
| metadata_file: "metadata.md" # ground truth formulas + methodology (for grading) | |
| ground_truth_data_dir: "data" # directory with reference CSV files | |
| ground_truth_code_dir: "reproduction" | |
| # --- Expected Outputs (what the white agent must produce) --- | |
| expected_outputs: | |
| analysis: | |
| - "reproduction/ANALYSIS.md" | |
| code: | |
| - "reproduction/GateOfLinearTrap.py" | |
| - "reproduction/Balance_place_of_ions.py" | |
| - "reproduction/normal_frequancy.py" | |
| - "reproduction/Raman_Segments.py" | |
| data: | |
| - "data/Balance_place_of_ions.csv" | |
| - "data/normal_frequancy.csv" | |
| - "data/Segments.csv" | |
| # --- Docker Environment --- | |
| docker: | |
| image: "python:3.11-slim" | |
| memory_limit: "4g" | |
| timeout: 10800 # 3 hours max | |
| pip_install: | |
| - numpy | |
| - scipy | |
| - matplotlib | |
| # --- Grading Rubric (for model-judge) --- | |
| grading: | |
| dimensions: | |
| - name: "methodology_understanding" | |
| weight: 0.15 | |
| description: > | |
| Does the agent's ANALYSIS.md correctly describe the planar ion trap physics, | |
| Mathieu equation, pseudopotential, micromotion effects, normal mode analysis, | |
| and gate optimization methodology? Compare against metadata.md. | |
| - name: "code_correctness" | |
| weight: 0.15 | |
| description: > | |
| Are all required code files present? Does the code correctly implement | |
| the 2D equilibrium position solver, normal mode eigenvalue problem with | |
| micromotion corrections, and segment optimization? | |
| - name: "data_accuracy" | |
| weight: 0.55 | |
| description: > | |
| How well do the generated CSV data files match the ground truth reference data? | |
| Compare numerical values with ~10% relative tolerance. Check that column names | |
| match, row counts are reasonable, and values are in the correct range. | |
| Weights: Balance positions (30pts), Normal frequencies (30pts), Segments (40pts). | |
| - name: "completeness" | |
| weight: 0.15 | |
| description: > | |
| Are all 3 CSV files, all 4 code files, and the 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 | |
| 3. Implement ALL code files under `reproduction/` | |
| 4. **DO NOT** run the scripts 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/GateOfLinearTrap.py" | |
| - "reproduction/Balance_place_of_ions.py" | |
| - "reproduction/normal_frequancy.py" | |
| - "reproduction/Raman_Segments.py" | |
| grading: | |
| dimensions: | |
| - name: "methodology_understanding" | |
| weight: 0.25 | |
| description: > | |
| Does ANALYSIS.md correctly describe the planar ion trap physics, | |
| Mathieu equation, micromotion, and gate optimization methodology? | |
| - name: "code_correctness" | |
| weight: 0.50 | |
| description: > | |
| Read every code file carefully. Check whether the implementation is | |
| physically and algorithmically correct: | |
| - 2D equilibrium position solver with Mathieu parameters | |
| - Normal mode eigenvalue problem with micromotion corrections | |
| - Segment optimization via Lagrange multiplier | |
| Compare against ground truth formulas in metadata. | |
| - name: "code_quality" | |
| weight: 0.10 | |
| description: > | |
| Is the code well-structured, readable, and does it follow the | |
| expected file organization? | |
| - name: "completeness" | |
| weight: 0.15 | |
| description: > | |
| Are all 4 code files and the ANALYSIS.md present and non-trivial? | |