lewtun HF staff commited on
Commit
2f0778f
1 Parent(s): 9b1a4d2

Split username from model name

Browse files
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -42,7 +42,7 @@ def download_submissions():
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  def format_submissions(submissions):
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- submission_data = {**{"Submission": []}, **{"Submission Date": []}, **{t: [] for t in TASKS}}
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  # TODO(lewtun): delete / filter all the junk repos from development
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  # The following picks the latest submissions which adhere to the model card schema
@@ -55,12 +55,12 @@ def format_submissions(submissions):
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  data = response.json()
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  card_data = data["card_data"]
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  username = card_data["submission_dataset"].split("/")[0]
 
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  submission_id = card_data["submission_id"]
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  submission_name, sha, timestamp = submission_id.split("__")
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- submission = username + "\n" + submission_name
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- submission_data["Submission"].append(submission)
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  timestamp = pd.to_datetime(int(timestamp))
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- submission_data["Submission Date"].append(datetime.date(timestamp).strftime("%b %d, %Y"))
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  for task in card_data["results"]:
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  task_data = task["task"]
@@ -69,7 +69,7 @@ def format_submissions(submissions):
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  submission_data[task_name].append(score)
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  df = pd.DataFrame(submission_data)
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- df.insert(2, "Overall", df[TASKS].mean(axis=1))
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  df = df.copy().sort_values("Overall", ascending=False)
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  df.rename(columns={k: v for k, v in zip(TASKS, FORMATTED_TASK_NAMES)}, inplace=True)
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  # Start ranking from 1
 
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  def format_submissions(submissions):
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+ submission_data = {**{"Team": []}, **{"Model": []}, **{"Date": []}, **{t: [] for t in TASKS}}
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  # TODO(lewtun): delete / filter all the junk repos from development
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  # The following picks the latest submissions which adhere to the model card schema
 
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  data = response.json()
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  card_data = data["card_data"]
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  username = card_data["submission_dataset"].split("/")[0]
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+ submission_data["Team"].append(username)
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  submission_id = card_data["submission_id"]
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  submission_name, sha, timestamp = submission_id.split("__")
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+ submission_data["Model"].append(submission_name)
 
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  timestamp = pd.to_datetime(int(timestamp))
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+ submission_data["Date"].append(datetime.date(timestamp).strftime("%b %d, %Y"))
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  for task in card_data["results"]:
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  task_data = task["task"]
 
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  submission_data[task_name].append(score)
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  df = pd.DataFrame(submission_data)
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+ df.insert(3, "Overall", df[TASKS].mean(axis=1))
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  df = df.copy().sort_values("Overall", ascending=False)
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  df.rename(columns={k: v for k, v in zip(TASKS, FORMATTED_TASK_NAMES)}, inplace=True)
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  # Start ranking from 1