| { |
| "agent_pool_id": "structured_data_processing", |
| "allowed_edit_scope": "candidate solution and runtime outputs only; packet inputs are immutable", |
| "answer_position": "'result'!A1:B30", |
| "answer_sheet": "result", |
| "candidate": { |
| "artifact_key": "candidate_solution", |
| "entrypoint": "solve(input_path: str, output_path: str) -> None", |
| "path": "candidate/solution.py", |
| "required_output": "a readable XLSX workbook at output_path", |
| "type": "python_workbook_transformation" |
| }, |
| "instruction": "I have a dataset in columns A and B of the problem sheet, and I need to transform this data to achieve the layout described in the 'result' sheet. Could you provide a solution, possibly using Power Query or any other method, to accomplish this transposition? \n\nDo this in the result sheet in-place. Include entries that dont have corresponding numbers and leave them unfilled", |
| "observable_goal": "Produce one reusable Python workbook transformation that solves every trusted evaluator case.", |
| "public_case": { |
| "case_id": 1, |
| "input_workbook": "public/cases/case_1/input.xlsx" |
| }, |
| "source_id": "341-14", |
| "source_visible_example": { |
| "meaning": "Partially completed source output/template supplied upstream; it is not a substitute for solving evaluator cases.", |
| "present": true, |
| "sheet": "result" |
| } |
| } |
|
|
