sh1gechan commited on
Commit
a34df06
·
verified ·
1 Parent(s): 647f038

Update src/populate.py

Browse files
Files changed (1) hide show
  1. src/populate.py +0 -22
src/populate.py CHANGED
@@ -15,31 +15,9 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
15
 
16
 
17
  df = pd.DataFrame.from_records(all_data_json)
18
- print("DataFrame Columns: ", df.columns)
19
  df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
20
  df = df[cols].round(decimals=2)
21
 
22
- print(f"Number of raw results: {len(raw_data)}")
23
-
24
- data = []
25
- for v in raw_data:
26
- try:
27
- dict_data = v.to_dict()
28
- print(f"Processed data: {dict_data}")
29
- data.append(dict_data)
30
- except Exception as e:
31
- print(f"Error processing result: {e}")
32
-
33
- print(f"Number of processed results: {len(data)}")
34
-
35
- if not data:
36
- print("No data to create DataFrame")
37
- return None
38
-
39
- df = pd.DataFrame(data)
40
- print(f"DataFrame shape: {df.shape}")
41
- print(f"DataFrame columns: {df.columns}")
42
-
43
  # filter out if any of the benchmarks have not been produced
44
  df = df[has_no_nan_values(df, benchmark_cols)]
45
  return df
 
15
 
16
 
17
  df = pd.DataFrame.from_records(all_data_json)
 
18
  df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
19
  df = df[cols].round(decimals=2)
20
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  # filter out if any of the benchmarks have not been produced
22
  df = df[has_no_nan_values(df, benchmark_cols)]
23
  return df