added fix to paws

refresh.py

@@ -214,8 +214,8 @@ def get_mteb_data(tasks=["Clustering"], langs=[], datasets=[], fillna=True, add_
  datasets.append('MLSUMClusteringP2P')
  if ('MLSUMClusteringS2S (fr)' in datasets):
  datasets.append('MLSUMClusteringS2S')
- if ('PawsX (fr)' in datasets):
- datasets.append('PawsXPairClassification (fr)')
+ if ('PawsXPairClassification (fr)' in datasets):
+ datasets.append('PawsX (fr)')
  # Initialize list to models that we cannot fetch metadata from
  df_list = []
  for model in external_model_results:
@@ -322,6 +322,9 @@ def get_mteb_data(tasks=["Clustering"], langs=[], datasets=[], fillna=True, add_
  if ('MLSUMClusteringS2S (fr)' in datasets) and ('MLSUMClusteringS2S' in cols):
  df['MLSUMClusteringS2S (fr)'] = df['MLSUMClusteringS2S (fr)'].fillna(df['MLSUMClusteringS2S'])
  datasets.remove('MLSUMClusteringS2S')
+ if ('PawsXPairClassification (fr)' in datasets) and ('PawsX (fr)' in cols):
+ df['PawsXPairClassification (fr)'] = df['PawsXPairClassification (fr)'].fillna(df['PawsX (fr)'])
+ datasets.remove('PawsX (fr)')
  # Filter invalid columns
  cols = [col for col in cols if col in base_columns + datasets]
  i = 0