README.md

---
dataset_info:
  features:
  - name: status
    dtype: string
  - name: repo_name
    dtype: string
  - name: repo_url
    dtype: string
  - name: issue_id
    dtype: int64
  - name: updated_files
    dtype: string
  - name: title
    dtype: string
  - name: body
    dtype: string
  - name: issue_url
    dtype: string
  - name: pull_url
    dtype: string
  - name: before_fix_sha
    dtype: string
  - name: after_fix_sha
    dtype: string
  - name: report_datetime
    dtype: timestamp[ns, tz=UTC]
  - name: language
    dtype: string
  - name: commit_datetime
    dtype: timestamp[us, tz=UTC]
  splits:
  - name: train
    num_bytes: 39772539.62553094
    num_examples: 11761
  - name: test
    num_bytes: 30776584.756565426
    num_examples: 12021
  download_size: 23878160
  dataset_size: 70549124.38209637
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
language:
- en
tags:
- code
- bugs
- patch
size_categories:
- 10K<n<100K
---

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6458f0063b81018d6b956833/G2RJogC33EgUT7lcdrTHC.png" alt="image/png">
</p>

# Dataset Card for Dataset Name

BeetleBox

## Dataset Details

The BeetleBox dataset is a comprehensive multi-language, multi-project dataset designed for bug localization research. It includes 26,321 bugs from 29 projects, covering five major programming languages: Java, Python, C++, JavaScript, and Go. The dataset was meticulously curated to ensure accuracy, with a manual analysis revealing an incorrect ground truth rate of only 0.06%.
### Dataset Description

The BeetleBox dataset is a substantial multi-language, multi-project dataset specifically compiled for bug localization research. It features 26,321 bugs from 29 projects across five widely used programming languages: Java, Python, C++, JavaScript, and Go. This dataset was carefully curated to maintain accuracy, with a manual analysis revealing an incorrect ground truth rate of only 0.06%. The dataset includes detailed information for each bug report, such as the bug's status, repository name, repository URL, issue ID, a list of files updated during the fix, the bug report's title, body, pull request URL, issue URL, SHA values before and after the fix, and the dates and times of both the bug report and the fixing commit.
The dataset was gathered from popular repositories on GitHub based on their star ratings and recent updates, ensuring active and well-maintained projects. Each repository's closed issues and corresponding fixing pull requests were linked using predefined GitHub keywords, and issues linked to multiple pull requests were filtered to ensure only a single, merged pull request was included.


#### Dataset Statistics

|  Language  | Train |  Test |
|:----------:|:-----:|:-----:|
|     C++    | 3,868 | 4,783 |
|     Go     |  758  |  400  |
|    Java    | 3,369 | 2,270 |
| JavaScript | 1,974 | 3,085 |
|   Python   | 3,215 | 2,599 |


#### Key Features
  - **Multi-Language:** Covers five major programming languages.
  - **Multi-Project:** Includes data from 29 different projects.
  - **High Accuracy:** Maintains a low incorrect ground truth rate of 0.06%.
  - **Detailed Metadata:** Provides extensive details for each bug report.


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