[Misc] Add network timeout to eval dataset downloads (#21873)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

python/sglang/test/simple_eval_common.py

@@ -519,7 +519,7 @@ def make_report_from_example_htmls(htmls: List[str]):
 def download_dataset(path, url):
     print(f"Downloading dataset {path} from {url}")
     try:
-        response = requests.get(url, stream=True, timeout=120)
+        response = requests.get(url, stream=True, timeout=30)
         response.raise_for_status()
 
         total_size = int(response.headers.get("content-length", 0))

python/sglang/test/simple_eval_gpqa.py

@@ -32,7 +32,10 @@ class GPQAEval(Eval):
         num_threads: int,
         n_repeats: int = 1,
     ):
-        df = pandas.read_csv(filename)
+        if "://" in filename:
+            df = pandas.read_csv(filename, storage_options={"timeout": 30})
+        else:
+            df = pandas.read_csv(filename)
         examples = [row.to_dict() for _, row in df.iterrows()]
         rng = random.Random(0)
         if num_examples:

python/sglang/test/simple_eval_math.py

@@ -40,7 +40,10 @@ class MathEval(Eval):
         num_examples: Optional[int],
         num_threads: int,
     ):
-        df = pandas.read_csv(filename)
+        if "://" in filename:
+            df = pandas.read_csv(filename, storage_options={"timeout": 30})
+        else:
+            df = pandas.read_csv(filename)
         examples = [row.to_dict() for _, row in df.iterrows()]
         if num_examples:
             examples = random.Random(0).sample(examples, num_examples)

python/sglang/test/simple_eval_mmlu.py

@@ -86,7 +86,10 @@ subject2category = {
 
 class MMLUEval(Eval):
     def __init__(self, filename: str, num_examples: Optional[int], num_threads: int):
-        df = pandas.read_csv(filename)
+        if "://" in filename:
+            df = pandas.read_csv(filename, storage_options={"timeout": 30})
+        else:
+            df = pandas.read_csv(filename)
         examples = [row.to_dict() for _, row in df.iterrows()]
         if num_examples:
             examples = random.Random(0).sample(examples, num_examples)