Update README.md

README.md

@@ -655,7 +655,7 @@ configs:
         - data/047_Bank/qa.parquet
         - data/048_Data/qa.parquet
         - data/049_Boris/qa.parquet
-    - split: test
+    - split: dev
       path:
         - data/050_ING/qa.parquet
         - data/051_Pokemon/qa.parquet
@@ -798,3 +798,29 @@ If you use this resource, please use the following reference:
     address = "Turin, Italy"
 }
 ```
+
+# Usage
+
+```python
+from datasets import load_dataset
+
+# Load all QA pairs
+all_qa = load_dataset("cardiffnlp/databench", name="qa", split="full")
+
+# Load SemEval 2025 task 8 Question-Answer splits
+semeval_train_qa = load_dataset("cardiffnlp/databench", name="semeval", split="train")
+semeval_dev_qa = load_dataset("cardiffnlp/databench", name="semeval", split="dev")
+
+
+# is "001_Forbes", the id of the dataset where information to answer the Question is located
+all_qa['dataset'][0] 
+
+# This id can be used load a specific Question-Answer pair collection from the splits
+forbes_qa = load_dataset("cardiffnlp/databench", name="qa", split=all_qa['dataset'][0] )
+
+# you can load a specific dataset containg the "answer" for a QA pair using the 
+forbes_full = load_dataset("cardiffnlp/databench", name=all_qa['dataset'][0] , split="full")
+
+# or to load the databench lite equivalent dataset, to answer the "sample_answer"
+forbes_sample = load_dataset("cardiffnlp/databench", name=all_qa['dataset'][0] , split="lite")
+```