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| import json | |
| from pathlib import Path | |
| from typing import Any, Dict, Iterator, List, Tuple | |
| import requests | |
| class GenEvalPrompts: | |
| def __init__(self): | |
| super().__init__() | |
| self._download_geneval_file() | |
| metadata_path = Path("downloads/geneval/evaluation_metadata.jsonl") | |
| self.entries: List[Dict[str, Any]] = [] | |
| with open(metadata_path, "r") as f: | |
| for line in f: | |
| if line.strip(): | |
| self.entries.append(json.loads(line)) | |
| def __iter__(self) -> Iterator[Tuple[Dict[str, Any], Path]]: | |
| for i, entry in enumerate(self.entries): | |
| folder_name = f"{i:05d}" | |
| yield entry, folder_name | |
| def _download_geneval_file(self) -> None: | |
| folder_name = Path("downloads/geneval") | |
| folder_name.mkdir(parents=True, exist_ok=True) | |
| metadata_url = "https://raw.githubusercontent.com/djghosh13/geneval/main/prompts/evaluation_metadata.jsonl" | |
| metadata_path = folder_name / "evaluation_metadata.jsonl" | |
| if not metadata_path.exists(): | |
| response = requests.get(metadata_url) | |
| with open(metadata_path, "w") as f: | |
| f.write(response.text) | |
| def name(self) -> str: | |
| return "geneval" | |
| def size(self) -> int: | |
| return len(self.entries) | |
| def metrics(self) -> List[str]: | |
| raise NotImplementedError("GenEval requires custom evaluation, see README.md") | |