Update README.md

README.md

@@ -47,8 +47,20 @@ dataset_info:
 
 <!-- Provide a quick summary of the dataset. -->
 
-LOC-BENCH is a dataset specifically designed for evaluating code localization methods in software repositories.
-LOC-BENCH provides a diverse set of issues, including bug reports, feature requests, security vulnerabilities, and performance optimizations.
+This is a refined benchmark for evaluating code localization methods.
+Compared to the original version, V2 improves data quality by filtering out examples that do not involve any function-level code modifications.
+Each entry in the dataset corresponds to a real-world code change, providing rich contextual information for studying bug localization, feature location, and automated code understanding tasks.
+We recommend using Loc-Bench_V2 for a more accurate and reliable evaluation of code localization performance.
+
+The table below shows the distribution of categories in the dataset.
+
+| category | count |
+|:---------|:---------|
+| Bug Report  | 275  |
+| Feature Request  | 216  |
+| Performance Issue  | 140  |
+| Security Vulnerability  | 29  |
+
 
 Code: https://github.com/gersteinlab/LocAgent
 
@@ -57,7 +69,8 @@ You can easily load LOC-BENCH using Hugging Face's datasets library:
 ```
 from datasets import load_dataset
 
-dataset = load_dataset("czlll/Loc-Bench")
+dataset = load_dataset("czlll/Loc-Bench_V2", split="test")
+
 ```
 ## 📄 Citation
 If you use LOC-BENCH in your research, please cite our paper: