Update test_repo.py

test_repo.py

@@ -22,7 +22,10 @@ _LICENSE = "Apache License 2.0"
 
 # Define URLs for different parts of the dataset if applicable
 _URLS = {
-    "mcq_domain": "https://huggingface.co/datasets/anand-s/test_repo/resolve/main/train_mcq.zip",
+    "train_normal_mcqa": "https://huggingface.co/datasets/anand-s/test_repo/resolve/main/train_normal_mcqa.zip",
+    "val_normal_mcqa": "https://huggingface.co/datasets/anand-s/test_repo/resolve/main/val_normal_mcqa.zip",
+    "test_normal_mcqa": "https://huggingface.co/datasets/anand-s/test_repo/resolve/main/test_normal_mcqa.zip",
+
 }
 
 class TestRepo(datasets.GeneratorBasedBuilder):
@@ -31,10 +34,12 @@ class TestRepo(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="mcq_domain", version=VERSION, description="This configuration covers multiple choice questions."),
+        datasets.BuilderConfig(name="train_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
+        datasets.BuilderConfig(name="val_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
+        datasets.BuilderConfig(name="test_normal_mcqa", version=VERSION, description="This configuration covers multiple choice questions."),
     ]
 
-    DEFAULT_CONFIG_NAME = "mcq_domain"
+#     DEFAULT_CONFIG_NAME = "mcq_domain"
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -44,7 +49,6 @@ class TestRepo(datasets.GeneratorBasedBuilder):
                 "question": datasets.Value("string"),
                 "options": datasets.Sequence(datasets.Value("string")),
                 "answer": datasets.Value("string"),
-                "context": datasets.Value("string"),  # Assuming all data includes context
                 "num_options": datasets.Value("string"),
                 "question_type": datasets.Value("string"),
                 "dataset_name": datasets.Value("string"),
@@ -60,9 +64,17 @@ class TestRepo(datasets.GeneratorBasedBuilder):
         print(data_dir)
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
+                name="train_normal_mcqa",
                 gen_kwargs={"directory": data_dir, "split": "train"},
             ),
+            datasets.SplitGenerator(
+                name="val_normal_mcqa",
+                gen_kwargs={"directory": data_dir, "split": "val"},
+            ),
+            datasets.SplitGenerator(
+                name="test_normal_mcqa",
+                gen_kwargs={"directory": data_dir, "split": "test"},
+            ),            
         ]
 
     def _generate_examples(self, directory, split):
@@ -74,14 +86,14 @@ class TestRepo(datasets.GeneratorBasedBuilder):
                 with open(filepath, encoding="utf-8") as f:
                     for key, row in enumerate(f):
                         data = json.loads(row)
-                        yield key_idx, {
-                            "prompt": data.get("prompt", ""),
-                            "question": data["question"],
-                            "options": data["options"],
-                            "answer": data.get("answer", ""),
-                            "context": data.get("context", ""),
-                            "num_options": data.get("num_options", ""),
-                            "question_type": data.get("question_type", ""),
-                            "dataset_name": os.path.split(filepath)[-1].replace(".jsonl","")
-                        }
-                        key_idx +=1
+                        if split in ["train_normal_mcqa", "val_normal_mcqa", "test_normal_mcqa"]:
+                            yield key_idx, {
+                                "prompt": data.get("prompt", ""),
+                                "question": data["question"],
+                                "options": data["options"],
+                                "answer": data.get("answer", ""),
+                                "num_options": data.get("num_options", ""),
+                                "question_type": data.get("question_type", ""),
+                                "dataset_name": os.path.split(filepath)[-1].replace(".jsonl","")
+                            }
+                            key_idx +=1