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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: int64 |
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- name: title |
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dtype: string |
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- name: body |
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dtype: string |
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- name: created_at |
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dtype: string |
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- name: user |
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dtype: string |
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- name: body_length |
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dtype: int64 |
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- name: has_bug |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 41594 |
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num_examples: 50 |
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download_size: 22965 |
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dataset_size: 41594 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: cc0-1.0 |
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task_categories: |
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- summarization |
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language: |
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- en |
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tags: |
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- code |
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pretty_name: Github Issues - TensorFlow |
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size_categories: |
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- n<1K |
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--- |
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# Dataset Card for Github Issues - TensorFlow |
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## Dataset Details |
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### Dataset Description |
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This dataset contains 50 open issues collected from the public TensorFlow GitHub repository. |
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Each record includes the issue ID, title, body text, creation date, anonymized user ID, |
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body length, and a flag indicating whether the issue mentions a bug. |
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The dataset has been structured for analysis and learning purposes. |
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- **Curated by:** Lin Shi |
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- **Language(s) (NLP):** English |
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- **License:** Create Commons Zero v1.0 Universal (CC0 1.0) |
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### Dataset Sources [optional] |
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- **Repository:** https://github.com/tensorflow/tensorflow |
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## Uses |
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### Direct Use |
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This dataset can be used for text analysis, summarization, or bug detection exercises. |
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### Out-of-Scope Use |
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Not intended for production software bug tracking or any commercial purpose. |
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User information has been anonymized. |
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## Dataset Structure |
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- **id**: int64, unique identifier for each issue |
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- **title**: string, issue title |
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- **body**: string, issue content |
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- **created_at**: string, creation date |
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- **user**: string, anonymized user ID |
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- **body_length**: int64, number of characters in the body |
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- **has_bug**: int64, 1 if the body mentions 'bug', otherwise 0 |
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- **Split:** train, 50 examples |
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## Dataset Creation |
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### Curation Rationale |
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This dataset was created to provide a small, structured sample of GitHub issues for |
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learning and experimentation in text analysis and bug detection. |
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### Source Data |
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Collected via the GitHub API using `requests` library. Data was filtered and structured in a Pandas DataFrame. |
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Usernames were anonymized for privacy. |
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#### Data Collection and Processing |
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The latest 50 open issues were retrieved from the TensorFlow GitHub repository. |
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Each issue's ID, title, body, creation date, and username were extracted. |
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Usernames were anonymized using a hashing method to protect privacy. |
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Additional derived fields include `body_length` and `has_bug`. |
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#### Who are the source data producers? |
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The source data producers are the contributors of the TensorFlow repository on GitHub. |
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No personal information beyond publicly available usernames (which were anonymized) is included. |
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#### Annotation process |
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No manual annotation was performed for this dataset. |
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The only derived labels are programmatically generated fields such as `body_length` and |
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`has_bug`, which were computed automatically using simple text-processing rules. |
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No annotation tools or human annotators were involved. |
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#### Who are the annotators? |
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There were no human annotators. |
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All derived fields were generated automatically through Python code written by the dataset curator (Lin Shi). |
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#### Personal and Sensitive Information |
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All usernames have been anonymized, and no sensitive or private information is included. |
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The dataset only contains publicly available GitHub issue text. |
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It is intended solely for educational use as part of a TAFE coursework assignment. |
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## Bias, Risks, and Limitations |
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The dataset only contains 50 open issues from one repository, so it is not representative |
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of all GitHub projects or issue types. Derived fields like `has_bug` are simplistic and may not fully capture actual bugs. |
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### Recommendations |
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Users should be aware that this dataset is for educational purposes only and should not |
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be used for production bug tracking or commercial analysis. |
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**BibTeX:** |
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No formal citation is available. Please cite the TensorFlow GitHub repository if needed. |
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**APA:** |
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No formal citation available. Refer to the TensorFlow GitHub repository for source data. |
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## Dataset Card Contact |
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For questions about this dataset, please contact: |
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- **Name:** Lin Shi |
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- **Purpose:** Educational use only (TAFE coursework) |
