Add model tooltips

app/backend/multi_header_util.py

@@ -144,7 +144,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
                             }
                         }"""),
                 'suppressSizeToFit': True,
-                'headerTooltip': 'Model Name',
+                'headerTooltip': 'Name of the embedding model being evaluated for retrieval tasks',
 
             },
             {'headerName': "Vendor",
@@ -152,14 +152,14 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
              'headerClass': 'custom-header-style',
              'cellClass': 'custom-cell-style',
              # 'suppressSizeToFit': True,
-             'headerTooltip': 'Vendor',
+             'headerTooltip': 'Company or organization that developed and maintains the model',
              },
             {'headerName': "Overall Score",
              'field': avg_column,
              'headerClass': 'custom-header-style',
              'cellClass': 'custom-cell-style',
              # 'suppressSizeToFit': True,
-             'headerTooltip': 'Overall Score',
+             'headerTooltip': 'Overall average performance score across all evaluated datasets',
 
              },
 
@@ -169,7 +169,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
              'headerClass': 'custom-header-style',
              'cellClass': 'custom-cell-style',
              # 'suppressSizeToFit': True,
-             'headerTooltip': 'Open Average',
+             'headerTooltip': 'Average NDCG@10 performance score across publicly available datasets',
 
              },
 
@@ -178,7 +178,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
              'headerClass': 'custom-header-style',
              'cellClass': 'custom-cell-style',
              # 'suppressSizeToFit': True,
-             'headerTooltip': 'Closed Average',
+             'headerTooltip': 'Average NDCG@10 performance score across proprietary/restricted datasets',
 
              },
 
@@ -188,7 +188,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
                 'headerClass': 'custom-header-style',
                 'cellClass': 'custom-cell-style',
                 # 'suppressSizeToFit': True,
-                'headerTooltip': 'Embd Dtype',
+                'headerTooltip': 'Data type format of the embedding vectors (e.g., float32, int8, binary)',
 
             },
             {
@@ -209,7 +209,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
                         }
                     """
                 ),
-                'headerTooltip': 'Embd Dim',
+                'headerTooltip': 'Number of dimensions in the embedding vector representation',
 
             },
             {
@@ -230,7 +230,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
                 ),
                 "width": 120,
                 # 'suppressSizeToFit': True,
-                'headerTooltip': 'Number of Parameters',
+                'headerTooltip': 'Total number of trainable parameters in the embedding model',
 
             },
             {
@@ -251,7 +251,7 @@ def get_header_options(column_list: list, avg_column: str, is_section: bool):
                         }
                     """
                 ),
-                'headerTooltip': 'Context Length',
+                'headerTooltip': 'Maximum number of tokens the model can process in a single input',
 
             },