test

LongConL.py

@@ -19,7 +19,7 @@ _CONFIGS = {
         "description": "Jurisdiction-specific legal opinions",
         "features": {
             "Citation": datasets.Value("string"),
-            "Case Name": datasets.Value("string"),
+            "Full Case Name": datasets.Value("string"),
             "Opinion Text": datasets.Value("string"),
             "Numerical Label": datasets.Value("string", id=None),  # Will be optional for some tasks
             "Text Label": datasets.Value("string"),
@@ -29,7 +29,7 @@ _CONFIGS = {
         "description": "Description for other task 1",
         "features": {
             "Citation": datasets.Value("string"),
-            "Case Name": datasets.Value("string"),
+            "Full Case Name": datasets.Value("string"),
             "Opinion Text": datasets.Value("string"),
             "Numerical Label": datasets.Value("string", id=None),
             "Text Label": datasets.Value("string"),
@@ -45,7 +45,7 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
         """Return dataset information."""
         features = datasets.Features({
             "Citation": datasets.Value("string"),
-            "Case Name": datasets.Value("string"),
+            "Full Case Name": datasets.Value("string"),
             "Opinion Text": datasets.Value("string"),
             "Numerical Label": datasets.Value("string"),  # Will be optional for some tasks
             "Text Label": datasets.Value("string"),
@@ -85,11 +85,12 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
         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"],
-                "Case Name": row["Case Name"],
+                "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"],