Datasets:

farid678
/

github-issues

dataset_info:
  features:
    - name: id
      dtype: string
    - name: number
      dtype: int64
    - name: title
      dtype: string
    - name: body
      dtype: string
    - name: state
      dtype: string
    - name: createdAt
      dtype: timestamp[s]
    - name: updatedAt
      dtype: timestamp[s]
    - name: closedAt
      dtype: timestamp[s]
    - name: url
      dtype: string
    - name: author
      struct:
        - name: login
          dtype: string
    - name: labels
      struct:
        - name: nodes
          list:
            - name: name
              dtype: string
    - name: comments
      list: string
  splits:
    - name: train
      num_bytes: 12467615
      num_examples: 3343
  configs:
    - config_name: default
      data_files:
        - split: train
          path: data/train-*

GitHub Issues Dataset

Dataset Description

The GitHub Issues Dataset is a collection of publicly available GitHub issues collected from the Hugging Face datasets repository.

Each example represents a GitHub issue and contains information such as the issue identifier, issue number, title, description, state, timestamps, author, labels, original URL, and comments.

The dataset was collected using the GitHub GraphQL API with cursor-based pagination.

The dataset is intended for research and experimentation in Natural Language Processing (NLP), software engineering, information retrieval, semantic search, issue analysis, question answering, and Large Language Models (LLMs).

Dataset Details

Source: Hugging Face datasets repository
Source platform: GitHub
Domain: Software development
Language: Primarily English
Data type: Text and structured metadata
Number of examples: 3,343
Format: Parquet / Arrow
Split: train

Source

The original data was collected from the public GitHub repository:

https://github.com/huggingface/datasets

The original issues are available through the GitHub Issues section of the repository.

Data Collection

The dataset was collected through the GitHub GraphQL API.

Cursor-based pagination was used to retrieve issues from the repository.

For each issue, the following information was collected:

Issue ID
Issue number
Title
Body
State
Creation timestamp
Update timestamp
Closing timestamp
Original GitHub URL
Author login
Labels
Comments

Only publicly accessible information was collected.

Dataset Structure

Each example contains the following fields:

Field	Type	Description
`id`	string	Unique GitHub identifier for the issue
`number`	int64	GitHub issue number
`title`	string	Title of the issue
`body`	string	Main description and content of the issue
`state`	string	Current issue state, such as `OPEN` or `CLOSED`
`createdAt`	timestamp	Date and time when the issue was created
`updatedAt`	timestamp	Date and time when the issue was last updated
`closedAt`	timestamp	Date and time when the issue was closed, if applicable
`url`	string	Original GitHub issue URL
`author`	struct	Information about the issue author
`labels`	struct	Labels assigned to the issue
`comments`	list[string]	Comments associated with the issue

Example

A simplified example of a dataset record:

{
  "id": "I_kwDODunzps8AAAABMjWDaQ",
  "number": 8475,
  "title": "Dataset.select raises a raw OverflowError on in-range negative indices",
  "body": "Describe the bug ...",
  "state": "OPEN",
  "createdAt": "2026-08-13T03:02:44",
  "updatedAt": "2026-08-13T03:02:44",
  "closedAt": null,
  "url": "https://github.com/huggingface/datasets/issues/8475",
  "author": {
    "login": "codeAnqiang-ma"
  },
  "labels": {
    "nodes": []
  },
  "comments": []
}