Duplicate from czlll/Loc-Bench_V1

Co-authored-by: zhaolingchen <czlll@users.noreply.huggingface.co>

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README.md

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+---
+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
+  - name: edit_functions_length
+    dtype: int64
+  - name: __index_level_0__
+    dtype: int64
+  splits:
+  - name: test
+    num_bytes: 8489578
+    num_examples: 560
+  download_size: 3084430
+  dataset_size: 8489578
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+---
+
+# LOC-BENCH: A Benchmark for Code Localization
+
+LOC-BENCH is a dataset specifically designed to evaluate code localization methods in software repositories. LOC-BENCH provides diverse issues, including bug reports, feature requests, security vulnerabilities, and performance optimizations.
+
+Code: https://github.com/gersteinlab/LocAgent
+
+## 📊 Details
+[`Loc-Bench_V1`](https://huggingface.co/datasets/czlll/Loc-Bench_V1) is our **official** dataset for comparison with our approach.
+
+The table below shows the distribution of categories in the dataset.
+| category | count |
+|:---------|:---------|
+| Bug Report  | 242  |
+| Feature Request  | 150  |
+| Performance Issue  | 139  |
+| Security Vulnerability  | 29  |
+<details>
+  <summary>Previous Versions</summary>
+
+  - [`Loc-Bench_V0.1`](https://huggingface.co/datasets/czlll/Loc-Bench_V0.1): The dataset used in [the early version of our paper](https://arxiv.org/abs/2503.09089).
+  Some examples in this dataset do not involve function-level code modifications but instead focus on modifying classes.
+  V1 filters out 100 examples without function-level code modifications, creating a cleaner subset of the dataset.
+  - [`Loc-Bench_V0.2`](https://huggingface.co/datasets/czlll/Loc-Bench_V0.2): Filtering out examples that do not involve function-level code modifications and then supplementing the dataset to restore it to the original size of 660 examples.
+</details>
+
+## 🔧 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_V1", 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}
+}
+```

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