Update README.md

README.md

@@ -49,11 +49,12 @@ dataset_info:
 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.
 
-To reproduce the results reported in the [paper](https://arxiv.org/abs/2503.09089), please refer to [`czlll/Loc-Bench_V0`](https://huggingface.co/datasets/czlll/Loc-Bench_V0).
+Please refer to [**`Loc-Bench_V1`**](https://huggingface.co/datasets/czlll/Loc-Bench_V1) for evaluating code localization methods and for easy comparison with our approach.
 
-Loc-Bench is a refined benchmark for evaluating code localization methods.
-Compared to the V0, it improves data quality by filtering out examples that do not involve any function-level code modifications.
-We recommend using this dataset for a more accurate and reliable evaluation of code localization performance.
+Code: https://github.com/gersteinlab/LocAgent
+
+## 📊 Details
+Compared to the [V0](https://huggingface.co/datasets/czlll/Loc-Bench_V0.1), it filters out examples that do not involve function-level code modifications and then supplements the dataset to restore it to the original size of 660 examples.
 
 The table below shows the distribution of categories in the dataset.
 
@@ -65,14 +66,12 @@ The table below shows the distribution of categories in the dataset.
 | Security Vulnerability  | 29  |
 
 
-Code: https://github.com/gersteinlab/LocAgent
-
 ## 🔧 How to Use
 You can easily load LOC-BENCH using Hugging Face's datasets library:
 ```
 from datasets import load_dataset
 
-dataset = load_dataset("czlll/Loc-Bench_V2", split="test")
+dataset = load_dataset("czlll/Loc-Bench_V0.2", split="test")
 
 ```
 ## 📄 Citation