| import json |
| from enum import Enum |
| from datetime import datetime |
| from dataclasses import dataclass |
|
|
| from datasets import load_dataset |
|
|
|
|
| @dataclass |
| class CodeExecutionProblem: |
| question_id: str |
| contest_id: str |
| contest_date: datetime |
| difficulty: str |
| function_name: str |
| code: str |
| input: str |
| output: str |
| id: str |
| problem_id: str |
| numsteps: int |
|
|
| def __post_init__(self): |
| pass |
|
|
| def insert_output(self, output_list: list[str], pred_list: list[str]) -> dict: |
| return { |
| "question_id": self.question_id, |
| "contest_id": self.contest_id, |
| "contest_date": self.contest_date.isoformat(), |
| "difficulty": self.difficulty, |
| "function_name": self.function_name, |
| "code": self.code, |
| "input": self.input, |
| "output": self.output, |
| "id": self.id, |
| "problem_id": self.problem_id, |
| "numsteps": self.numsteps, |
| "output_list": output_list, |
| "pred_list": pred_list, |
| } |
|
|
| def insert_output_evaluation( |
| self, output_list: list[str], code_list: list[str], graded_list: list[bool] |
| ) -> dict: |
| output = self.insert_output(output_list, code_list) |
| output["graded_list"] = graded_list |
| output["pass@1"] = graded_list.count(True) / len(graded_list) |
| return output |
|
|
| def get_evaluation_sample(self) -> dict: |
| return { |
| "code": self.code, |
| "input": self.input, |
| "output": self.output, |
| } |
|
|
|
|
| def load_code_execution_dataset(release_version="release_v1") -> list[CodeExecutionProblem]: |
| dataset = load_dataset("livecodebench/execution-v2", split="test") |
| dataset = [CodeExecutionProblem(**p) for p in dataset] |
| print(f"Loaded {len(dataset)} problems") |
| return dataset |
|
|
|
|
| if __name__ == "__main__": |
| dataset = load_code_execution_dataset() |
|
|
