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