Add additional tags for improved discoverability

README.md

@@ -1,4 +1,13 @@
 ---
+language:
+- en
+license: cc-by-sa-4.0
+task_categories:
+- question-answering
+tags:
+- retrieval-augmented-generation
+- reasoning
+- llm
 dataset_info:
   features:
   - name: section_id
@@ -39,11 +48,6 @@ configs:
     path: data/train-*
   - split: validation
     path: data/validation-*
-license: cc-by-sa-4.0
-task_categories:
-- question-answering
-language:
-- en
 ---
 
 # Dataset Card for DROP for CARE training
@@ -90,7 +94,9 @@ This dataset is a processed version of DROP (Discrete Reasoning Over Paragraphs)
   "answer": "Chaz Schilens",
   "answer_type": "span",
   "context": "Context: Hoping to rebound from their loss to the Patriots...",
-  "prompt": "Context: [passage]\n\nQuestion: Who scored the first touchdown of the game?"
+  "prompt": "Context: [passage]
+
+Question: Who scored the first touchdown of the game?"
 }
 ```
 
@@ -118,7 +124,7 @@ val_data = dataset["validation"]
 ```python
 # Example usage in curriculum learning
 class CurriculumTrainer:
-    def __init__(self):
+    def __init__(self):\
         self.drop_data = load_dataset("sheryc/DROP_care")["train"]
         self.msmarco_data = load_dataset("sheryc/MSMARCO_care")["train"]