add update results

submissions/baseline/baseline.csv

@@ -1,3 +1,5 @@
-,index,Method,Submitted By,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,Average
+Unnamed: 0,index,Method,Submitted By,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,Average
 ,0,baseline,baseline,0,0,0,0,0,0,0,0
-,0,baseline2,baseline2,0,0,0,0,0,0,0,0
+,0,baseline2,baseline2,0,0,0,0,0,0,0,0
+,0,baseline,baseline,0,0,0,0,0,0,0,0
+,0,random,random,0,0,0,0,0,0,0,0

uploads.py

@@ -61,14 +61,18 @@ def add_new_eval(
 
     # load the file
     df = pd.read_csv(path_to_file)
+    submission_df = pd.read_csv(path_to_file)
 
     # modify the df to include metadata
-    df["method_name"] = method_name
+    df["Method"] = method_name
     df["url"] = url
     df["organisation"] = organisation
     df["mail"] = parsed_mail
     df["timestamp"] = datetime.datetime.now()
 
+    submission_df = pd.read_csv(path_to_file)
+    submission_df["Method"] = method_name
+    submission_df["Submitted By"] = organisation
     # upload to spaces using the hf api at
 
     path_in_repo = f"submissions/{method_name}"
@@ -88,6 +92,14 @@ def add_new_eval(
         token=TOKEN,
         repo_type="dataset",
     )
+    # read the leaderboard
+    leaderboard_df = pd.read_csv(f"submissions/baseline/baseline.csv")
+
+    # append the new submission_df csv to the leaderboard
+    leaderboard_df = leaderboard_df.append(submission_df)
+
+    # save the new leaderboard
+    leaderboard_df.to_csv(f"submissions/baseline/baseline.csv", index=False)
 
     return format_log(
         f"Method {method_name} submitted by {organisation} successfully. \nPlease refresh the leaderboard, and wait a bit to see the score displayed"