date

app.py

@@ -42,6 +42,7 @@ def get_dataframe_from_results(eval_results, split):
     local_df = local_df.rename_column("score", "Average score (%)")
     for i in [1, 2, 3]:
         local_df = local_df.rename_column(f"score_level{i}", f"Level {i} score (%)")
+    local_df = local_df.rename_column("date", "Submission date")
     df = pd.DataFrame(local_df)
     df = df.sort_values(by=["Average score (%)"], ascending=False)
 
@@ -63,7 +64,7 @@ gold_results = {split: {row["task_id"]: row for row in gold_dataset[split]} for
 def restart_space():
     api.restart_space(repo_id=LEADERBOARD_PATH, token=TOKEN)
 
-TYPES = ["markdown", "number", "number", "number", "number", "str", "str"]
+TYPES = ["markdown", "number", "number", "number", "number", "str", "str", "str"]
 
 def add_new_eval(
     val_or_test: str,
@@ -155,6 +156,7 @@ def add_new_eval(
         "score_level1": scores[1]/num_questions[1],
         "score_level2": scores[2]/num_questions[2],
         "score_level3": scores[3]/num_questions[3],
+        "date": datetime.datetime.today().strftime('%Y-%m-%d')
     }
     eval_results[val_or_test] = eval_results[val_or_test].add_item(eval_entry)
     print(eval_results)