README.md

metadata

annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - other
license: []
multilinguality:
  - monolingual
pretty_name: github-pytorch-issues
size_categories:
  - 1K<n<10K
source_datasets: []
tags:
  - Pytorch issues information Custom data set
task_categories:
  - question-answering
  - text-generation
task_ids:
  - open-domain-qa
  - closed-domain-qa
  - language-modeling

Dataset Card for github-pytorch-issues

Dataset Summary

This dataset is a curated collection of GitHub issues from the PyTorch repository. Each entry includes the issue title, body, user, state, labels, comments, and other relevant fields that are useful for tasks such as text classification, semantic search, and question answering.

Supported Tasks and Leaderboards

The dataset supports the following tasks:

• Open-domain Question Answering: Given a user query, match it to a relevant issue and retrieve the response from the issue body or comments.
• Closed-domain Question Answering: Same as above but restricted to PyTorch-related questions.
• Text Generation / Language Modeling: Use the issue title as prompt and body as target text to fine-tune generative models.

Languages

• English (en)

Dataset Structure

Data Fields

• id: Unique issue ID
• title: Title of the issue
• user: GitHub user who opened the issue
• state: Open or closed
• labels: Comma-separated labels/tags
• comments: Number of comments
• author_association: Role of the author in the repository
• body: Main text of the issue

Example

{
  "id": 1500,
  "title": "torch.save crashes on certain tensor inputs",
  "user": "some_user",
  "state": "open",
  "labels": ["bug", "serialization"],
  "comments": 4,
  "author_association": "CONTRIBUTOR",
  "body": "I'm encountering a crash when trying to serialize certain model outputs..."
}

Dataset Creation

The dataset was created by collecting issues via the GitHub REST API using the endpoint:

https://api.github.com/repos/pytorch/pytorch/issues