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metadata
language:
  - en
license: other
task_categories:
  - text-generation
pretty_name: LCA (Bug Localization)
tags:
  - code
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: dev
        num_bytes: 22190207
        num_examples: 2522
      - name: test
        num_bytes: 439932.73195876286
        num_examples: 50
      - name: train
        num_bytes: 21750274.26804124
        num_examples: 2472
    download_size: 14252663
    dataset_size: 44380414
  - 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: dev
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        num_examples: 618
      - name: test
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        num_examples: 50
      - name: train
        num_bytes: 4473550.537216828
        num_examples: 568
    download_size: 3298535
    dataset_size: 9734698
  - config_name: py
    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: dev
        num_bytes: 26666884
        num_examples: 4339
      - name: test
        num_bytes: 307292.97073058307
        num_examples: 50
      - name: train
        num_bytes: 26359591.029269416
        num_examples: 4289
    download_size: 19864708
    dataset_size: 53333768
configs:
  - config_name: py
    data_files:
      - split: dev
        path: py/dev-*
      - split: test
        path: py/test-*
      - split: train
        path: py/train-*
  - config_name: java
    data_files:
      - split: dev
        path: java/dev-*
      - split: test
        path: java/test-*
      - split: train
        path: java/train-*
  - config_name: kt
    data_files:
      - split: dev
        path: kt/dev-*
      - split: test
        path: kt/test-*
      - split: train
        path: kt/train-*

LCA (Bug Localization)

This is the data for Bug Localization benchmark as part of LCA. 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 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 on the state of the commit SHA where the bug is reproducible can be extracted
  • List of files that should be changed in order to solve the bug
  • Other additional data and metrics, that can be useful in approach development

The collected dataset was carefully filtered, enhances with useful metrics and, what is more, manually labeled, which assures the data quality and provides a golden subset of good examples for evaluation.
Moreover, the dataset was splitted into several categories, naming:

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, naming:

Split Description
dev All collected data point
test Manually verified data point
train Rest data point from dev except test

The results of evaluation of various bug localization approaches can be found in Long Code Arena 🏟 leaderboard.

The following sections will describe the utilities around the dataset as well as detailed dataset content description.

How-to

  • Load the data via load_dataset:

    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("JetBrains-Research/lca-bug-localization", configuration, split=split)  
    
  • Load repos via hf_hub_download

    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("JetBrains-Research/lca-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(
            "JetBrains-Research/lca-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 by HFDataSource
    Besides data loading, HFDataSource returns data point for running baseline along with the content of the repository in the state the bug is reproducible (aka base_sha commit of the pull request which resloves the bug issue).
    All source code for working with the GitHub history of repositories (commits, diffs, etc.) are available in git_utils.py as so as example of baselines, utilizes this dataset.

Bug localization data

Each data point contains main subset of field as well as additional metrics calculated upon them.
The main fields are:

Field Description
repo_owner Bug issue repository owner.
repo_name Bug issue repository name.
issue_url GitHub link to issue
https://github.com/{repo_owner}/{repo_name}/issues/{issue_id}.
pull_url GitHub link to pull request
https://github.com/{repo_owner}/{repo_name}/pull/{pull_id}.
comment_url GitHub link to comment with pull request to issue reference
https://github.com/{repo_owner}/{repo_name}/pull/{pull_id}#issuecomment-{comment_id}.
issue_title Issue title.
issue_body Issue body.
base_sha Pull request base SHA.
head_sha Pull request head SHA.
diff_url Pull request diff link between base and head SHA
https://github.com/{repo_owner}/{repo_name}/compare/{base_sha}...{head_sha}.
diff Pull request diff content.
pull_create_at Data of pull request creation in format yyyy-mm-ddThh:mm:ssZ.
repo_stars Number of repo stars.
changed_files* List of 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 Licenses assigned to the repository.

* Excluding test files that do not contain bug causes, rather changed in order to add test for proving that bug is gone.

The metrics-related fields are:

Field Description
changed_files_exts Dict from changed files extension to 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 repository.
repo_tokens_count* Number of tokens** in files in repository.
repo_lines_count* Number of lines in files in repository.
repo_files_without_tests_count* Number of files in repository.
changed_symbols_count* Number of symbols in changed lines in diff.
changed_tokens_count* Number of tokens** in 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 issue body.
issue_words_count* Number of words in issue body (separated by space symbols).
issue_tokens_count* Number of tokens** in issue body.
issue_lines_count* Number of text lines in issue body (separated by \n).
issue_links_count Number of links ([...](...)) presented in issue body.
issue_code_blocks_count Number of code blocks (```...```) presented in issue body.

* Excluding test files that do not contain bug causes, rather changed in order to add test for proving that bug is gone.
** Using GPT-4 tokenizer via ticktoken.

Repositories data

The compressed repositories provided in section repos separately from data point to provide access to the various stages of repository, saving its initial structure, as well as to reuse one's content for different data point connected to the same repository. To extract the required information from repositories, each zip file should be unarchived. Afterwords, we recommend to use GitPython or PyDriller python library to navigate thought repository history and extract one's content on required commit or calculate diff. Most of the required utility methods are provided in our repository in git_utils.py, so you may reuse them to access required repository data.