test

LongConL.py

@@ -14,42 +14,44 @@ _URLS = {
     "test": "data/LongConL-tasks/{task_name}/test.csv",
 }
 
-_CONFIGS = {
-    "ATS-Jurisdiction": {
-        "description": "Jurisdiction-specific legal opinions",
-        "features": {
-            "Citation": 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"),
-        },
-    },
-    "ATS-FavorableJudgment": {
-        "description": "Description for other task 1",
-        "features": {
-            "Citation": 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"),
-        },
+# Define common features
+common_features = {
+    "Citation": datasets.Value("string"),
+    "Full Case Name": datasets.Value("string"),
+    "Opinion Text": datasets.Value("string"),
+    "Text Label": datasets.Value("string"),
+}
+
+# Function to create the task configuration
+def create_task_config(task_name, has_numerical_label=True):
+    """Create a task configuration based on whether a numerical label exists."""
+    features = common_features.copy()
+    if has_numerical_label:
+        features["Numerical Label"] = datasets.Value("string")  # Include numerical label if applicable
+    
+    return {
+        "description": f"Description for {task_name}",
+        "features": features,
     }
+
+# List of task names with their numerical label presence
+tasks = {
+    "ATS-Jurisdiction": False,
+    "ATS-FavorableJudgment": False,
+    "JRC-AREA1": True
+    
+    # Add other tasks here with True/False for numerical label presence
 }
 
+# Generate the configs dynamically
+_CONFIGS = {task_name: create_task_config(task_name, has_numerical_label) for task_name, has_numerical_label in tasks.items()}
 
 class LongConLDataset(datasets.GeneratorBasedBuilder):
     """Legal opinion classification dataset for LongConL tasks"""
 
     def _info(self):
         """Return dataset information."""
-        features = datasets.Features({
-            "Citation": 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"),
-        })
+        features = self.config.features  # Use the features from the current config
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
@@ -96,12 +98,14 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
                 "Text Label": row["Text Label"],
             }
 
-
-
-    # Use a dynamic config
+    # Use a dynamic config for all tasks
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=task_name, version=datasets.Version("1.0.0"), description=task_name)
-        for task_name in ["ATS-Jurisdiction", "ATS-FavorableJudgment"]  # Add your task names here
+        datasets.BuilderConfig(
+            name=task_name,
+            version=datasets.Version("1.0.0"),
+            description=config["description"],
+            features=config["features"],
+        )
+        for task_name, config in _CONFIGS.items()
     ]
 
-