| from typing import Any, Dict, List, Union | |
| from datasets import DatasetDict | |
| from .artifact import fetch_artifact | |
| from .dataset import get_dataset_artifact | |
| from .logging_utils import get_logger | |
| from .metric_utils import _compute | |
| from .operator import StreamSource | |
| logger = get_logger() | |
| def load(source: Union[StreamSource, str]) -> DatasetDict: | |
| assert isinstance( | |
| source, (StreamSource, str) | |
| ), "source must be a StreamSource or a string" | |
| if isinstance(source, str): | |
| source, _ = fetch_artifact(source) | |
| return source().to_dataset() | |
| def load_dataset(dataset_query: str) -> DatasetDict: | |
| dataset_query = dataset_query.replace("sys_prompt", "instruction") | |
| dataset_stream = get_dataset_artifact(dataset_query) | |
| return dataset_stream().to_dataset() | |
| def evaluate(predictions, data) -> List[Dict[str, Any]]: | |
| return _compute(predictions=predictions, references=data) | |