---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: repo
    dtype: string
  - name: instance_id
    dtype: string
  - name: base_commit
    dtype: string
  - name: patch
    dtype: string
  - name: test_patch
    dtype: string
  - name: problem_statement
    dtype: string
  - name: hints_text
    dtype: string
  - name: created_at
    dtype: int64
  - name: labels
    sequence: string
  - name: category
    dtype: string
  - name: edit_functions
    sequence: string
  - name: added_functions
    sequence: string
  splits:
  - name: test
    num_bytes: 9540894
    num_examples: 660
  download_size: 3490581
  dataset_size: 9540894
---


# 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.

Please refer to the official version [**`Loc-Bench_V1`**](https://huggingface.co/datasets/czlll/Loc-Bench_V1) for evaluating code localization methods and for easy comparison with our approach.

Code: https://github.com/gersteinlab/LocAgent


## 📊 Details
This is the dataset that was used in [the early version of our paper](https://arxiv.org/abs/2503.09089).
We later released a refined version, [`czlll/Loc-Bench_V1`](https://huggingface.co/datasets/czlll/Loc-Bench_V1), with improved data quality by filtering out examples that do not modify any functions. 
We **recommend** using the refined dataset to evaluate code localization performance.

The table below shows the distribution of categories in the dataset `Loc-Bench_V0.1`.
| category | count |
|:---------|:---------|
| Bug Report  | 282  |
| Feature Request  | 203  |
| Performance Issue  | 144  |
| Security Vulnerability  | 31  |

## 🔧 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_V0.1", split='test')
```
## 📄 Citation
If you use LOC-BENCH in your research, please cite our paper:
```
@article{chen2025locagent,
title={LocAgent: Graph-Guided LLM Agents for Code Localization},
author={Chen, Zhaoling and Tang,Xiangru and Deng,Gangda and Wu,Fang and Wu,Jialong and Jiang,Zhiwei and Prasanna,Viktor and Cohan,Arman and Wang,Xingyao},
journal={arXiv preprint arXiv:2503.09089},
year={2025}
}
```