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dataset_info:
- config_name: java
features:
- name: id
dtype: int64
- name: text_id
dtype: string
- name: repo_owner
dtype: string
- name: repo_name
dtype: string
- name: issue_url
dtype: string
- name: pull_url
dtype: string
- name: comment_url
dtype: string
- name: links_count
dtype: int64
- name: link_keyword
dtype: string
- name: issue_title
dtype: string
- name: issue_body
dtype: string
- name: base_sha
dtype: string
- name: head_sha
dtype: string
- name: diff_url
dtype: string
- name: diff
dtype: string
- name: changed_files
dtype: string
- name: changed_files_exts
dtype: string
- name: changed_files_count
dtype: int64
- name: java_changed_files_count
dtype: int64
- name: kt_changed_files_count
dtype: int64
- name: py_changed_files_count
dtype: int64
- name: code_changed_files_count
dtype: int64
- name: repo_symbols_count
dtype: int64
- name: repo_tokens_count
dtype: int64
- name: repo_lines_count
dtype: int64
- name: repo_files_without_tests_count
dtype: int64
- name: changed_symbols_count
dtype: int64
- name: changed_tokens_count
dtype: int64
- name: changed_lines_count
dtype: int64
- name: changed_files_without_tests_count
dtype: int64
- name: issue_symbols_count
dtype: int64
- name: issue_words_count
dtype: int64
- name: issue_tokens_count
dtype: int64
- name: issue_lines_count
dtype: int64
- name: issue_links_count
dtype: int64
- name: issue_code_blocks_count
dtype: int64
- name: pull_create_at
dtype: timestamp[s]
- name: repo_stars
dtype: int64
- name: repo_language
dtype: string
- name: repo_languages
dtype: string
- name: repo_license
dtype: string
splits:
- name: test
num_bytes: 675109
num_examples: 50
download_size: 243234
dataset_size: 675109
- config_name: kt
features:
- name: id
dtype: int64
- name: text_id
dtype: string
- name: repo_owner
dtype: string
- name: repo_name
dtype: string
- name: issue_url
dtype: string
- name: pull_url
dtype: string
- name: comment_url
dtype: string
- name: links_count
dtype: int64
- name: link_keyword
dtype: string
- name: issue_title
dtype: string
- name: issue_body
dtype: string
- name: base_sha
dtype: string
- name: head_sha
dtype: string
- name: diff_url
dtype: string
- name: diff
dtype: string
- name: changed_files
dtype: string
- name: changed_files_exts
dtype: string
- name: changed_files_count
dtype: int64
- name: java_changed_files_count
dtype: int64
- name: kt_changed_files_count
dtype: int64
- name: py_changed_files_count
dtype: int64
- name: code_changed_files_count
dtype: int64
- name: repo_symbols_count
dtype: int64
- name: repo_tokens_count
dtype: int64
- name: repo_lines_count
dtype: int64
- name: repo_files_without_tests_count
dtype: int64
- name: changed_symbols_count
dtype: int64
- name: changed_tokens_count
dtype: int64
- name: changed_lines_count
dtype: int64
- name: changed_files_without_tests_count
dtype: int64
- name: issue_symbols_count
dtype: int64
- name: issue_words_count
dtype: int64
- name: issue_tokens_count
dtype: int64
- name: issue_lines_count
dtype: int64
- name: issue_links_count
dtype: int64
- name: issue_code_blocks_count
dtype: int64
- name: pull_create_at
dtype: timestamp[s]
- name: repo_stars
dtype: int64
- name: repo_language
dtype: string
- name: repo_languages
dtype: string
- name: repo_license
dtype: string
splits:
- name: test
num_bytes: 424086
num_examples: 50
download_size: 183832
dataset_size: 424086
- config_name: py
features:
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- name: text_id
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- name: repo_name
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- name: pull_url
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- name: comment_url
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- name: links_count
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- name: link_keyword
dtype: string
- name: issue_title
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- name: issue_body
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- name: base_sha
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- name: head_sha
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- name: diff_url
dtype: string
- name: diff
dtype: string
- name: changed_files
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- name: changed_files_exts
dtype: string
- name: changed_files_count
dtype: int64
- name: java_changed_files_count
dtype: int64
- name: kt_changed_files_count
dtype: int64
- name: py_changed_files_count
dtype: int64
- name: code_changed_files_count
dtype: int64
- name: repo_symbols_count
dtype: int64
- name: repo_tokens_count
dtype: int64
- name: repo_lines_count
dtype: int64
- name: repo_files_without_tests_count
dtype: int64
- name: changed_symbols_count
dtype: int64
- name: changed_tokens_count
dtype: int64
- name: changed_lines_count
dtype: int64
- name: changed_files_without_tests_count
dtype: int64
- name: issue_symbols_count
dtype: int64
- name: issue_words_count
dtype: int64
- name: issue_tokens_count
dtype: int64
- name: issue_lines_count
dtype: int64
- name: issue_links_count
dtype: int64
- name: issue_code_blocks_count
dtype: int64
- name: pull_create_at
dtype: timestamp[s]
- name: repo_stars
dtype: int64
- name: repo_language
dtype: string
- name: repo_languages
dtype: string
- name: repo_license
dtype: string
splits:
- name: test
num_bytes: 328403
num_examples: 50
download_size: 168497
dataset_size: 328403
configs:
- config_name: java
data_files:
- split: test
path: java/test-*
- config_name: kt
data_files:
- split: test
path: kt/test-*
- config_name: py
data_files:
- split: test
path: py/test-*
---
# BenchName (Bug localization)
This is the benchmark for the Bug localization task as part of the
[BenchName benchmark](https://huggingface.co/collections/icmlbenchname/icml-25-benchname-679b57e38a389f054cdf33e9).
The bug localization problem can be formulated as follows: given an issue with a bug description and a repository snapshot in a state where the bug is reproducible, identify the files within the repository that need to be modified to address the reported bug.
The dataset provides all the required components for evaluation of bug localization approaches in real project-level large-scale data collected from GitHub, including:
* Bug issue description;
* Repositories, from which the content can be extracted at the state of the commit SHA where the bug is reproducible;
* List of files that should be changed in order to solve the bug;
* Other additional data and metrics that can be useful in developing new approaches.
All the repositories are published under permissive licenses (MIT, Apache-2.0, BSD-3-Clause, and BSD-2-Clause). The datapoints can be removed upon request.
The collected dataset was carefully filtered, enhanced with useful metrics and, what's more, manually labeled, which assures the data quality and provides a golden subset of good examples for evaluation.\
Moreover, the dataset was split into several categories, namely:
| **Category** | **Description** | **Number of data points** |
|:------------------:|:----------------------------------------:|:----------------------------------------:|
| `py` | Only `.py` files in changes | 4,339 |
| `java` | Only `.java` files in changes | 2,522 |
| `kt` | Only `.kt` files in changes | 618 |
...and splits, namely:
| **Split** | **Description** |
|:------------------:|:----------------------------------------:|
| `dev` | All collected datapoints |
| `test` | Manually verified datapoints |
| `train` | Rest of the datapoint from `dev` without `test` |
The results of evaluation of various bug localization approaches can be found in the [BenchName leaderboard](https://huggingface.co/collections/icmlbenchname/icml-25-benchname-679b57e38a389f054cdf33e9).
The following sections describe the utilities around the dataset, as well as dataset content.
## How-to
* Load the data via [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.load_dataset):
```py
from datasets import load_dataset
# Select a configuration from ["py", "java", "kt"]
configuration = "py"
# Select a split from ["dev", "train", "test"]
split = "dev"
# Load data
dataset = load_dataset("icmlbenchname/bug-localization", configuration, split=split)
```
* Load repos via [`hf_hub_download`](https://huggingface.co/docs/huggingface_hub/v0.20.3/en/package_reference/file_download#huggingface_hub.hf_hub_download):
```py
from huggingface_hub import hf_hub_download
from datasets import load_dataset
import zipfile
import os
# Load json with list of repos' .tar.gz file paths
paths_json = load_dataset("icmlbenchname/bug-localization", data_files="repos.json")
# Load each repo in .tar.gz format, unzip, delete archive
repos = paths_json[configuration][0]
repos_path = "path/to/repos"
for i, repo_zip_path in enumerate(repos):
repo_name = os.path.basename(repo_zip_path).split('.')[0]
repo_path = os.path.join(repos_path, repo_name)
# Load repo zip
local_repo_zip_path = hf_hub_download(
"icmlbenchname/bug-localization",
filename=repo_zip_path,
repo_type="dataset",
local_dir="path/to/zips"
)
# Unzip repo
with zipfile.ZipFile(local_repo_zip_path, 'r') as zip_ref:
zip_ref.extractall(repo_path)
os.remove(local_repo_zip_path)
```
* Data streaming via [HFDataSource](https://anonymous.4open.science/r/icml-benchname-2025/bug_localization/src/baselines/data_sources/hf_data_source.py).
Besides data loading, `HFDataSource` returns a datapoint for running the baseline along with the content of the repository at the state where the bug is reproducible (aka `base_sha` commit of the pull request that resloves the bug issue). \
All source code for working with the Git history of repositories (commits, diffs, etc.) is available in [`git_utils.py`](https://anonymous.4open.science/r/icml-benchname-2025/bug_localization/src/utils/git_utils.py), as is an example of baselines, utilizing this dataset.
### Bug localization data
Each datapoint contains the main fields, as well as additional metrics calculated on them. \
The main fields are:
| **Field** | **Description** |
|:------------------:|:----------------------------------------:|
| `repo_owner` | Owner of the repository with the bug issue. |
| `repo_name` | Name of the repository with the bug issue. |
| `issue_url` | GitHub link to the issue <br> `https://github.com/{repo_owner}/{repo_name}/issues/{issue_id}`. |
| `pull_url` | GitHub link to the pull request <br> `https://github.com/{repo_owner}/{repo_name}/pull/{pull_id}`. |
| `comment_url` | GitHub link to the comment with a reference from pull request to issue <br> `https://github.com/{repo_owner}/{repo_name}/pull/{pull_id}#issuecomment-{comment_id}`. |
| `issue_title` | Issue title. |
| `issue_body` | Issue body. |
| `base_sha` | Base SHA of the pull request. |
| `head_sha` | Head SHA of the pull request. |
| `diff_url` | Link to the diff between the base and the head SHA <br> `https://github.com/{repo_owner}/{repo_name}/compare/{base_sha}...{head_sha}`. |
| `diff` | Content of the diff. |
| `pull_create_at` | Date of pull request creation in the `yyyy-mm-ddThh:mm:ssZ` format. |
| `repo_stars` | Number of stars of the repo. |
| `changed_files`* | List of the changed files parsed from diff. |
| `repo_language` | Main programming language used in the repository. |
| `repo_languages` | All programming languages used in the repository. |
| `repo_license` | License assigned to the repository. |
\* Excluding test files that do not contain bug causes, rather changed in order to add tests for proving that the bug is gone.
The metrics-related fields are:
| **Field** | **Description** |
|:------------------:|:----------------------------------------:|
| `changed_files_exts` | Dictionary from the extension of changed files to their count. |
| `changed_files_count` | Number of changed files. |
| `java_changed_files_count` | Number of changed `.java` files. |
| `kt_changed_files_count` | Number of changed `.kt` files. |
| `py_changed_files_count` | Number of changed `.py` files. |
| `code_changed_files_count` | Number of changed `.java`, `.kt`, or `.py` files. |
| `repo_symbols_count`* | Number of symbols in the repository. |
| `repo_tokens_count`* | Number of tokens** in the files of the repository. |
| `repo_lines_count`* | Number of lines in the files of the repository. |
| `repo_files_without_tests_count`* | Number of files in the repository. |
| `changed_symbols_count`* | Number of symbols in the changed lines in diff. |
| `changed_tokens_count`* | Number of tokens** in the changed lines in diff. |
| `changed_lines_count`* | Number of changed lines in diff (including added and deleted). |
| `changed_files_without_tests_count`* | Number of files in diff. |
| `issue_symbols_count`* | Number of symbols in the issue body. |
| `issue_words_count`* | Number of words in the issue body (separated by space symbols). |
| `issue_tokens_count`* | Number of tokens** in the issue body. |
| `issue_lines_count`* | Number of text lines in the issue body (separated by `\\n`). |
| `issue_links_count` | Number of links (\[...\](...)) present in the issue body. |
| `issue_code_blocks_count` | Number of code blocks (\`\`\`...\`\`\`) present in the issue body. |
\* Excluding test files that do not contain bug causes, rather changed in order to add tests for proving that the bug is gone. \
\*\* Using GPT-4 tokenizer via ticktoken.
|