Upload api.py with huggingface_hub

api.py

@@ -0,0 +1,30 @@
+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)