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Add 31 PRBench task specifications (instructions, task.yaml, paper markdown; ground truth withheld)
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# 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_dimitrov_2000
# --- Paper Info ---
paper:
title: "Chirality of Nuclear Rotation"
author: "S. Dimitrov, T. Frauendorf, F. Dönau"
doi: "10.1103/PhysRevLett.84.5732"
year: 2000
paper_file: "3-Dimitrov2000Phys.Rev.Lett.5732.md"
# --- Files ---
instruction_file: "instruction.md" # what the white agent receives (no ground truth)
metadata_file: "metadata.md" # ground truth formulas + methodology (for grading)
ground_truth_data_dir: "data" # directory with reference CSV files
ground_truth_code_dir: "reproduce"
# --- Expected Outputs (what the white agent must produce) ---
expected_outputs:
analysis:
- "reproduce/ANALYSIS.md"
code:
- "reproduce/main.py"
- "reproduce/tac3d_python.py"
- "reproduce/ws_reference.py"
data:
- "data/pr134_final_reproduction_comparison.csv"
- "data/pr134_final_reproduction_metrics.csv"
- "data/pr134_table1_angles_j.csv"
- "data/pr134_table1_transitions.csv"
# --- Docker Environment ---
docker:
image: "python:3.11-slim"
memory_limit: "4g"
timeout: 21600 # 6 hours (complex iterative TAC solver)
pip_install:
- numpy
- scipy
- matplotlib
# --- Grading Rubric (for model-judge) ---
grading:
dimensions:
- name: "methodology_understanding"
weight: 0.20
description: >
Does the agent's ANALYSIS.md correctly describe the TAC (Tilted Axis Cranking)
methodology: hybrid spherical Woods-Saxon + Nilsson deformation coupling,
fixed-gap pairing, branch-continuous theta/phi search, and explicit handling
of the BC-crossing region to stay on the nu_h11/2 branch?
Does it identify the Cwiok universal Woods-Saxon parameter set (V0=49.6 MeV,
kappa=0.86, a=0.70 fm) and the final accepted parameters (eps2=0.182,
gamma=27.0 deg, delta_p=1.10 MeV, delta_n=1.20 MeV)?
Compare against metadata.md.
- name: "code_correctness"
weight: 0.25
description: >
Is the reproduction code physically and algorithmically correct? Check:
Woods-Saxon single-particle spectrum uses the Cwiok universal parameter set
(V0=49.6 MeV, kappa=0.86, a=0.70 fm, r0(P)=1.275 fm, r0(N)=1.347 fm,
r0_so(P)=1.20 fm, r0_so(N)=1.310 fm, lambda_so(P)=36.0, lambda_so(N)=35.0),
Nilsson deformation matrix elements correctly applied (eps2=0.182, gamma=27.0),
fixed-gap pairing implemented (delta_p, delta_n), TAC self-consistency loop
converges for each omega, branch continuity enforced across frequency chain,
BC-crossing region handled explicitly. Penalize pure geometric toy models,
wrong WS parameters, or independent point-by-point minimization with no
branch tracking.
- name: "data_accuracy"
weight: 0.40
description: >
How well do the generated CSV files match the ground truth reference data?
Key quantitative checks against data/pr134_final_reproduction_comparison.csv:
RMS(J) <= 1.0 (accepted reference ~0.807), RMS(theta) <= 6 deg (reference
~5.016 deg), RMS(phi) <= 8 deg (reference ~6.782 deg). Physical trend checks:
theta increases with omega, phi evolves from near-planar to large out-of-plane,
J monotonically increasing. Worst-point check: omega=0.475 MeV should show
the largest residual (dJ~+2.1 in accepted result). Non-monotonic J or phi
collapsing to near-zero over multiple points indicates wrong branch.
- name: "completeness"
weight: 0.15
description: >
Are all expected CSV data files, the required code modules, and ANALYSIS.md
present and non-trivial? Does `python main.py` run self-contained from
reproduce/ without reading benchmark targets from data/?
# --- 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 `reproduce/ANALYSIS.md` with your methodology analysis
3. Implement ALL code files under `reproduce/`
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:
- "reproduce/ANALYSIS.md"
code:
- "reproduce/main.py"
- "reproduce/tac3d_python.py"
- "reproduce/ws_reference.py"
grading:
dimensions:
- name: "methodology_understanding"
weight: 0.25
description: >
Does ANALYSIS.md correctly describe the hybrid WS+Nilsson TAC approach,
fixed-gap pairing, branch-continuous angle search, and BC-crossing handling?
Are the Cwiok universal WS parameters and final accepted parameters identified?
- name: "code_correctness"
weight: 0.50
description: >
Read every code file carefully. Check whether the implementation is
physically and algorithmically correct:
- Woods-Saxon potential with Cwiok universal parameters (V0=49.6 MeV, etc.)
- Nilsson deformation coupling (eps2=0.182, gamma=27.0 deg)
- Fixed-gap pairing (delta_p=1.10 MeV, delta_n=1.20 MeV)
- TAC self-consistency: minimize Routhian over theta, phi for each omega
- Branch-continuous search: track theta/phi solution across frequency chain
- BC-crossing handled explicitly to stay on nu_h11/2 branch
Compare against ground truth methodology in metadata.md. Flag any bugs.
- name: "code_quality"
weight: 0.10
description: >
Is the code well-structured, modular (WS solver, TAC solver, pairing,
branch-tracking as separate concerns), and readable?
- name: "completeness"
weight: 0.15
description: >
Are the required code modules and ANALYSIS.md present and non-trivial?