update labels

README.md

@@ -8,7 +8,7 @@ viewer: false
 
 # 📘 JunoBench: A Benchmark Dataset of Crashes in Machine Learning Python Jupyter Notebooks
 
-This repository is the compiled benchmark dataset of paper "JunoBench: A Benchmark Dataset of Crashes in Machine Learning Python Jupyter Notebooks". The code repository of constructing the benchmark is on GitHub: [JunoBench_construct](https://github.com/PELAB-LiU/JunoBench_construct). This dataset is suitable for studying crashes (e.g., bug reproducing, detection, diagnose, localization, and repair) in ML notebooks.
+This repository is the compiled benchmark dataset of paper "[JunoBench: A Benchmark Dataset of Crashes in Machine Learning Python Jupyter Notebooks](https://arxiv.org/abs/2510.18013)". The code repository of constructing the benchmark is on GitHub: [JunoBench_construct](https://github.com/PELAB-LiU/JunoBench_construct). This dataset is suitable for studying crashes (e.g., bug reproducing, detection, diagnose, localization, and repair) in ML notebooks.
 
 ## 📂 Contents
 
@@ -22,6 +22,7 @@ The ML library distribution is as follows:
 
 The structure of the benchmark repository is the following:
 - [benchmark_desc.xlsx](./benchmark_desc.xlsx): attributes of the benchmark dataset
+- [ground_truth_crash_prediction.xlsx](./ground_truth_crash_prediction.xlsx): crash detection and diagnosis labels of the benchmark dataset
 - [benchmark/](https://huggingface.co/datasets/PELAB-LiU/JunoBench/tree/main/benchmark): Kaggle notebooks with crashes, categorized by ML library used when the crashes occur
     - `library_id/`:
         - `library_id.ipynb`: original Kaggle notebook