diff --git a/python/sglang/test/simple_eval_common.py b/python/sglang/test/simple_eval_common.py
index e3b96ef81363..c667098b7b06 100644
--- a/python/sglang/test/simple_eval_common.py
+++ b/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))
diff --git a/python/sglang/test/simple_eval_gpqa.py b/python/sglang/test/simple_eval_gpqa.py
index b39366ef5df8..3ad37a604432 100644
--- a/python/sglang/test/simple_eval_gpqa.py
+++ b/python/sglang/test/simple_eval_gpqa.py
@@ -32,7 +32,10 @@ def __init__(
         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:
diff --git a/python/sglang/test/simple_eval_math.py b/python/sglang/test/simple_eval_math.py
index 37d4b120b930..6cb5658bbdbb 100644
--- a/python/sglang/test/simple_eval_math.py
+++ b/python/sglang/test/simple_eval_math.py
@@ -40,7 +40,10 @@ def __init__(
         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)
diff --git a/python/sglang/test/simple_eval_mmlu.py b/python/sglang/test/simple_eval_mmlu.py
index a68dbb935a21..281da9e802f0 100644
--- a/python/sglang/test/simple_eval_mmlu.py
+++ b/python/sglang/test/simple_eval_mmlu.py
@@ -86,7 +86,10 @@
 
 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)
diff --git a/sgl-model-gateway/e2e_test/infra/simple_eval_common.py b/sgl-model-gateway/e2e_test/infra/simple_eval_common.py
index 92e72937d9e9..7be4358172c7 100644
--- a/sgl-model-gateway/e2e_test/infra/simple_eval_common.py
+++ b/sgl-model-gateway/e2e_test/infra/simple_eval_common.py
@@ -457,7 +457,7 @@ def download_dataset(path: str, url: str) -> None:
     """Download a dataset from URL to path."""
     logger.info("Downloading dataset from %s", url)
     try:
-        response = requests.get(url, stream=True)
+        response = requests.get(url, stream=True, timeout=30)
         response.raise_for_status()
 
         total_size = int(response.headers.get("content-length", 0))
diff --git a/sgl-model-gateway/e2e_test/infra/simple_eval_mmlu.py b/sgl-model-gateway/e2e_test/infra/simple_eval_mmlu.py
index 1083e56ca60c..a83ed1d2eaaf 100644
--- a/sgl-model-gateway/e2e_test/infra/simple_eval_mmlu.py
+++ b/sgl-model-gateway/e2e_test/infra/simple_eval_mmlu.py
@@ -93,7 +93,10 @@ class MMLUEval(Eval):
     """MMLU benchmark evaluation."""
 
     def __init__(self, filename: str, num_examples: int | None, 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)