add datasts csv

app.py

@@ -12,6 +12,7 @@ from src.display.about import (
     EVALUATION_QUEUE_TEXT,
     INTRODUCTION_TEXT,
     LLM_BENCHMARKS_TEXT,
+    LLM_BENCHMARKS_DETAILS,
     FAQ_TEXT,
     TITLE,
 )
@@ -34,6 +35,7 @@ from src.display.utils import (
 from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, H4_TOKEN, IS_PUBLIC, QUEUE_REPO, REPO_ID, RESULTS_REPO
 from src.populate import get_evaluation_queue_df, get_leaderboard_df
 from src.submission.submit import add_new_eval
+from src.utils import get_dataset_summary_table
 
 
 def restart_space():
@@ -47,6 +49,7 @@ def ui_snapshot_download(repo_id, local_dir, repo_type, tqdm_class, etag_timeout
     except Exception:
         restart_space()
 
+dataset_df = get_dataset_summary_table(file_path='blog/Hallucination-Leaderboard-Summary.csv')
 
 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)
@@ -222,6 +225,17 @@ 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),
+                datatype=['str', 'markdown', 'str', 'str', 'str'],
+                elem_id="dataset-table",
+                interactive=False,
+                visible=True,
+                column_widths=["15%", "20%"]
+            )
+            gr.Markdown(LLM_BENCHMARKS_DETAILS, elem_classes="markdown-text")
             gr.Markdown(FAQ_TEXT, elem_classes="markdown-text")
 
         with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):