community result load fix

app.py

@@ -14,20 +14,23 @@ api = HfApi()
 URL = os.environ.get("URL")
 
 
-def load_data(source):
+def load_data(source, refresh=False):
     if source == "core":
         with open("data.json", "r") as f:
             data = json.load(f)
     else:
-        ds = load_dataset(RESULTS_COMMUNITY, split='train')
+        if refresh:
+            ds = load_dataset(RESULTS_COMMUNITY, split='train', download_mode="force_redownload")
+        else:
+            ds = load_dataset(RESULTS_COMMUNITY, split='train')
         data = []
         for entry in ds:
             data.append(entry)
     return data
 
 
-def build_table(source):
-    data = load_data(source)
+def build_table(source, refresh=False):
+    data = load_data(source, refresh)
     entries = []
 
     if source == "core":
@@ -46,7 +49,10 @@ def build_table(source):
     for entry in data:
         name = entry.get("Benchmark", "")
         url = entry.get("URL", "#")
-        hyperlink = f'<a href="{url}" target="_blank">{name}</a>'
+        if url:
+            hyperlink = f'<a href="{url}" target="_blank">{name}</a>'
+        else:
+            hyperlink = name
 
         row = {
             "Benchmark": hyperlink,
@@ -228,13 +234,13 @@ with gr.Blocks() as interface:
                 value="core"
             )
 
-            leaderboard_html = gr.HTML(build_table("core"))
+            leaderboard_html = gr.HTML(build_table("core", refresh=False))
 
             def update_table(source):
-                return build_table(source)
+                return build_table(source, refresh=True)
 
             source_radio.change(
-                fn=update_table,
+                fn=build_table,
                 inputs=source_radio,
                 outputs=leaderboard_html
             )
@@ -256,7 +262,7 @@ with gr.Blocks() as interface:
             with gr.Row():
                 jsonl_input = gr.File(label="Upload .jsonl File", file_types=[".jsonl"])
                 with gr.Column():
-                    hf_path_input = gr.Textbox(label="HuggingFace Dataset Path")
+                    hf_path_input = gr.Textbox(label="HuggingFace Dataset Path", placeholder="e.g., author/benchmark-name")
                     hf_split_input = gr.Textbox(label="Dataset split (only if providing HuggingFace Dataset)", placeholder="e.g., validation, test")
             field_name_input = gr.Textbox(label="Context or Question Field Name", placeholder="e.g., context, question, ...")