fix bugs

results.csv

@@ -28,4 +28,4 @@ UniME(LLaVA-OneVision-7B-LoRA-Res336),8.03,Self-Reported,70.7,66.8,66.6,70.5,90.
 UniME(LLaVA-1.6-7B-LoRA-LowRes),7.57,Self-Reported,66.6,60.6,52.9,67.9,85.1
 UniME(Phi-3.5-V-LoRA),4.2,Self-Reported,64.2,54.8,55.9,64.5,81.8
 QQMM-embed,8.297,Self-Reported,72.175,70.07,69.52,71.175,87.075
-B3,8.29,Self-Reported,72.0,70.0,66.5,74.1,84.6
+B3,8.29,Self-Reported,72.0,70.0,66.5,74.1,84.6

utils.py

@@ -101,8 +101,6 @@ Github link: https://github.com/TIGER-AI-Lab/VLM2Vec. \n
 Please send us an email at m7su@uwaterloo.ca, attaching the JSON file. We will review your submission and update the leaderboard accordingly.
 """
 
-MODEL_URLS = get_urls("urls.csv")
-
 def create_hyperlinked_names(df):
     def convert_url(url, model_name):
         return f'<a href="{url}">{model_name}</a>'
@@ -134,7 +132,8 @@ def fetch_data(url: str) -> pd.DataFrame:
     if url is None:
         raise ValueError("URL Not Provided")
     url = f"https://huggingface.co/spaces/TIGER-Lab/MMEB/resolve/main/{url}"
-    response = requests.get(url, headers={"Authorization": f"Bearer {HF_TOKEN}"})
+    print(f"Fetching data from {url}")
+    response = requests.get(url)
     if response.status_code != 200:
         raise requests.HTTPError(f"Failed to fetch data: HTTP status code {response.status_code}")
     return pd.read_csv(io.StringIO(response.text))
@@ -143,6 +142,8 @@ def get_urls(csv: str='urls.csv') -> dict:
     urls = fetch_data(csv)
     return dict(zip(urls['Models'], urls['URL']))
 
+MODEL_URLS = get_urls("urls.csv")
+
 def get_df(csv="results.csv"):
     df = fetch_data(csv)
     df.to_csv(CSV_DIR, index=False) # update local file