Upload generate_responses.py with huggingface_hub

generate_responses.py

@@ -62,6 +62,23 @@ UV_SCRIPT_FILENAME = "generate_responses.py"
 UV_SCRIPT_URL = f"https://huggingface.co/datasets/{UV_SCRIPT_REPO_ID}/resolve/main/{UV_SCRIPT_FILENAME}"
 
 
+def extract_output_payload(output) -> dict[str, Optional[str]]:
+    """Convert a vLLM chat result into a dataset-serializable dict."""
+    completion = output.outputs[0] if getattr(output, "outputs", None) else None
+    text = getattr(completion, "text", "") if completion is not None else ""
+
+    reasoning_content = None
+    if completion is not None:
+        reasoning_content = getattr(completion, "reasoning_content", None)
+        if reasoning_content is None:
+            reasoning_content = getattr(completion, "reasoning", None)
+
+    return {
+        "text": text,
+        "reasoning_content": reasoning_content,
+    }
+
+
 def check_gpu_availability() -> int:
     """Check if CUDA is available and return the number of GPUs."""
     if not cuda.is_available():
@@ -321,10 +338,10 @@ def main(
 
     # Extract generated text and create full response list
     logger.info("Extracting generated responses...")
-    responses = [""] * total_examples
+    responses = [{"text": "", "reasoning_content": None} for _ in range(total_examples)]
 
     for idx, output in enumerate(outputs):
-        responses[idx] = output
+        responses[idx] = extract_output_payload(output)
 
     # Add responses to dataset
     logger.info("Adding responses to dataset...")