debug

LongConL.py

@@ -73,23 +73,33 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    def _generate_examples(self, file_path):
-        """Generate examples from the dataset CSV."""
-        data = pd.read_csv(file_path)
-        print("Data loaded from file:", file_path)
-        print(data.head())  # Display first few rows
-        data_dict = data.to_dict(orient="records")
-        print(f"Number of examples to generate: {len(data_dict)}")
-
-        for id_, row in enumerate(data_dict):
-            yield id_, {
-                "Citation": row["Citation"],
-                "Full Case Name": row["Full Case Name"],
-                "Opinion Text": row["Opinion Text"],
-                "Numerical Label": row.get("Numerical Label", None),  # Use .get() to handle missing keys
-                "Text Label": row["Text Label"],
-            }
-
+	def _generate_examples(self, file_path):
+	    """Generate examples from the dataset CSV."""
+	    data = pd.read_csv(file_path)
+	    print("Data loaded from file:", file_path)
+	    print(data.head())  # Display first few rows
+
+	    # Check if the DataFrame is empty or has the correct columns
+	    if data.empty:
+		print(f"Warning: No data found in {file_path}")
+		return  # Early exit if there's no data
+	    
+	    expected_columns = {"Citation", "Full Case Name", "Opinion Text", "Numerical Label", "Text Label"}
+	    if not expected_columns.issubset(data.columns):
+		print(f"Warning: Missing columns in {file_path}. Expected columns: {expected_columns}. Found columns: {set(data.columns)}")
+		return  # Early exit if columns are missing
+
+	    data_dict = data.to_dict(orient="records")
+	    print(f"Number of examples to generate: {len(data_dict)}")
+
+	    for id_, row in enumerate(data_dict):
+		yield id_, {
+		    "Citation": row["Citation"],
+		    "Full Case Name": row["Full Case Name"],
+		    "Opinion Text": row["Opinion Text"],
+		    "Numerical Label": row.get("Numerical Label", None),
+		    "Text Label": row["Text Label"],
+		}
 
 
     # Use a dynamic config