Update README.md

README.md

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 # LOC-BENCH: A Benchmark for Code Localization
 
 <!-- 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.
+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).
+
+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.
 
 The table below shows the distribution of categories in the dataset.