update

app.py

@@ -60,9 +60,6 @@ def init_space():
     dataset_df = get_dataset_summary_table(file_path='blog/Hallucination-Leaderboard-Summary.csv')
 
     if socket.gethostname() not in {'neuromancer'}:
-        if (os.path.exists(EVAL_REQUESTS_PATH) and
-                os.path.exists(EVAL_RESULTS_PATH) and
-                (datetime.datetime.now() - datetime.datetime.fromtimestamp(os.path.getmtime(EVAL_REQUESTS_PATH))).days > 1):
             ui_snapshot_download(repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30)
             ui_snapshot_download(repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30)
 
@@ -202,6 +199,8 @@ with demo:
                         interactive=True,
                         elem_id="filter-columns-size")
 
+            # breakpoint()
+
             leaderboard_table = gr.components.Dataframe(
                 value=leaderboard_df[
                     [c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value + [AutoEvalColumn.dummy.name]
@@ -250,7 +249,7 @@ with demo:
 
         with gr.TabItem("About", elem_id="llm-benchmark-tab-table", id=2):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
-            print(f'dataset df columns: {list(dataset_df.columns)}')
+
             dataset_table = gr.components.Dataframe(
                 value=dataset_df,
                 headers=list(dataset_df.columns),
@@ -258,8 +257,8 @@ with demo:
                 elem_id="dataset-table",
                 interactive=False,
                 visible=True,
-                column_widths=["15%", "20%"]
-            )
+                column_widths=["15%", "20%"])
+
             gr.Markdown(LLM_BENCHMARKS_DETAILS, elem_classes="markdown-text")
             gr.Markdown(FAQ_TEXT, elem_classes="markdown-text")