github-issues
open-github-issues
OpenGitHub Issues
What is it?
The full development metadata of 7 public GitHub repositories, fetched from the GitHub REST API and GraphQL API, converted to Parquet and hosted here for easy access.
Right now the archive has 6.0M rows across 8 tables in 699.6 MB of Zstd-compressed Parquet. Every issue, pull request, comment, code review, timeline event, file change, and CI status check is stored as a separate table you can load individually or query together.
This… See the full description on the dataset page: https://huggingface.co/datasets/open-index/open-github-issues.github-issuesgithub-issues
Dataset Card for GitHub Issues
Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the domain of datasets for NLP, computer vision, and beyond.
Supported Tasks and Leaderboards
For each of the tasks tagged… See the full description on the dataset page: https://huggingface.co/datasets/lewtun/github-issues.github-issuesthe-stack-github-issues
Dataset Description
This dataset contains conversations from GitHub issues and Pull Requests. Each conversation is comprised of a series of events, such as opening an issue, creating a comment,
or closing the issue, and includes the author's username, text, action, and identifiers such as the issue ID and number.
The dataset, which is mostly in English, has a total size of 54GB and 30.9M files.
Dataset Structure
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-github-issues.multi-label-class-github-issues-text-classification
Dataset Card for "multi-label-class-github-issues-text-classification"
More Information needed