---
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)