Update README.md

README.md

@@ -1,10 +1,15 @@
+---
+license: cc-by-4.0
+tags:
+- code
+---
 # AutoStub Training Dataset
 
 This dataset contains input-output pairs used for training the AutoStub system, which automatically generates symbolic stubs for external functions during symbolic execution.
 
 ## Dataset Description
 
-The dataset consists of input-output pairs for 273 methods from Java standard libraries, focusing on primitive types and string operations. It was generated using a stratified sampling approach to ensure diverse inputs across different data types.
+The dataset consists of input-output pairs from Java standard libraries, focusing on primitive types and string operations. It was generated using a stratified sampling approach to ensure diverse inputs across different data types.
 
 ### Dataset Structure
 
@@ -48,16 +53,20 @@ The dataset was created by:
 from datasets import load_dataset
 
 # Load the dataset
-dataset = load_dataset("username/autostub-dataset")
-
-# Get samples for a specific method
-method_samples = dataset["train"].filter(lambda x: x["method_name"] == "public_boolean_java_lang_Boolean_booleanValue__")
-
-# Access a specific sample
-sample = dataset["train"][0]
-print(f"Method: {sample['method_name']}")
-print(f"Input: {sample['input']}")
-print(f"Output: {sample['output']}")
+dataset = load_dataset("Felix6326727/AutoStub")
+
+# Loop through the dataset and print the first 5 samples
+for i, sample in enumerate(dataset["train"]):
+    if i >= 5:
+        break
+
+    print(f"Sample {i}:")
+    print(f"Method Name: {sample['method_name']}")
+    print(f"Input: {sample['input']}")
+    print(f"Input Types: {sample['input_types']}")
+    print(f"Output: {sample['output']}")
+    print(f"Output Type: {sample['output_type']}")
+    print()
 ```
 
 ### Applications
@@ -82,4 +91,4 @@ If you use this dataset, please cite:
 
 ## Source
 
-This dataset is derived from the [AutoStub](https://github.com/UzL-ITS/AutoStub) project.
+This dataset is derived from the [AutoStub](https://github.com/UzL-ITS/AutoStub) project.