Split username from model name

app.py

@@ -42,7 +42,7 @@ def download_submissions():
 
 
 def format_submissions(submissions):
-    submission_data = {**{"Submission": []}, **{"Submission Date": []}, **{t: [] for t in TASKS}}
+    submission_data = {**{"Team": []}, **{"Model": []}, **{"Date": []}, **{t: [] for t in TASKS}}
 
     # TODO(lewtun): delete / filter all the junk repos from development
     # The following picks the latest submissions which adhere to the model card schema
@@ -55,12 +55,12 @@ def format_submissions(submissions):
         data = response.json()
         card_data = data["card_data"]
         username = card_data["submission_dataset"].split("/")[0]
+        submission_data["Team"].append(username)
         submission_id = card_data["submission_id"]
         submission_name, sha, timestamp = submission_id.split("__")
-        submission = username + "\n" + submission_name
-        submission_data["Submission"].append(submission)
+        submission_data["Model"].append(submission_name)
         timestamp = pd.to_datetime(int(timestamp))
-        submission_data["Submission Date"].append(datetime.date(timestamp).strftime("%b %d, %Y"))
+        submission_data["Date"].append(datetime.date(timestamp).strftime("%b %d, %Y"))
 
         for task in card_data["results"]:
             task_data = task["task"]
@@ -69,7 +69,7 @@ def format_submissions(submissions):
             submission_data[task_name].append(score)
 
     df = pd.DataFrame(submission_data)
-    df.insert(2, "Overall", df[TASKS].mean(axis=1))
+    df.insert(3, "Overall", df[TASKS].mean(axis=1))
     df = df.copy().sort_values("Overall", ascending=False)
     df.rename(columns={k: v for k, v in zip(TASKS, FORMATTED_TASK_NAMES)}, inplace=True)
     # Start ranking from 1