Merge pull request #5 from embeddings-benchmark/fix-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