load

LongConL.py

@@ -7,12 +7,11 @@ _DESCRIPTION = """"""
 _HOMEPAGE = ""
 _LICENSE = ""
 
-# URLs for the dataset (since it's hosted on Hugging Face, you'll load directly from there)
+# Updated URLs to dynamically handle task names
 _URLS = {
-    "train": "data/LongConL-tasks/train.csv",
-    "validation": "data/LongConL-tasks/validation.csv",
-    "test": "data/LongConL-tasks/test.csv",
-    "all": "data/LongConL-tasks/{task_name}.csv"
+    "train": "data/LongConL-tasks/{task_name}/train.csv",
+    "validation": "data/LongConL-tasks/{task_name}/validation.csv",
+    "test": "data/LongConL-tasks/{task_name}/test.csv",
 }
 
 # Configuration for tasks
@@ -38,7 +37,7 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(
             name=task_name, version=datasets.Version("1.0.0"), description=task_name
         )
-        for task_name in _CONFIGS
+        for task_name in _CONFIGS  # Assuming _CONFIGS contains all task names
     ]
 
     def _info(self):
@@ -54,7 +53,10 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Split the dataset into train, validation, and test."""
-        downloaded_files = dl_manager.download_and_extract(_URLS)
+        task_name = self.config.name  # Get the current task name from the config
+        urls = {key: val.format(task_name=task_name) for key, val in _URLS.items()}  # Update URLs with the task name
+        downloaded_files = dl_manager.download_and_extract(urls)
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -68,6 +70,12 @@ class LongConLDataset(datasets.GeneratorBasedBuilder):
                     "file_path": downloaded_files["validation"],
                 },
             ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "file_path": downloaded_files["test"],
+                },
+            ),
         ]
 
     def _generate_examples(self, file_path):

load_data.py

@@ -0,0 +1,23 @@
+from datasets import load_dataset
+from longconl_dataset import LongConLDataset  # Import the dataset class
+from huggingface_hub import login
+
+# Login to Hugging Face using your token
+login(token="")  # Replace with your actual token
+
+# Specify the task name you want to load
+task_name = "ATS-Jurisdiction"  # Replace with your desired task
+
+# Load the dataset
+dataset = load_dataset(LongConLDataset, name=task_name)
+
+# Access train, validation, and test splits
+train_dataset = dataset['train']
+validation_dataset = dataset['validation']
+test_dataset = dataset['test']
+
+# Now you can use these datasets as needed
+print(train_dataset)
+print(validation_dataset)
+print(test_dataset)
+