README.md

metadata

dataset_info:
  features:
    - name: url
      dtype: string
    - name: repository_url
      dtype: string
    - name: labels_url
      dtype: string
    - name: comments_url
      dtype: string
    - name: events_url
      dtype: string
    - name: html_url
      dtype: string
    - name: id
      dtype: int64
    - name: node_id
      dtype: string
    - name: number
      dtype: int64
    - name: title
      dtype: string
    - name: user
      struct:
        - name: login
          dtype: string
        - name: id
          dtype: int64
        - name: node_id
          dtype: string
        - name: avatar_url
          dtype: string
        - name: gravatar_id
          dtype: string
        - name: url
          dtype: string
        - name: html_url
          dtype: string
        - name: followers_url
          dtype: string
        - name: following_url
          dtype: string
        - name: gists_url
          dtype: string
        - name: starred_url
          dtype: string
        - name: subscriptions_url
          dtype: string
        - name: organizations_url
          dtype: string
        - name: repos_url
          dtype: string
        - name: events_url
          dtype: string
        - name: received_events_url
          dtype: string
        - name: type
          dtype: string
        - name: site_admin
          dtype: bool
    - name: labels
      list:
        - name: id
          dtype: int64
        - name: node_id
          dtype: string
        - name: url
          dtype: string
        - name: name
          dtype: string
        - name: color
          dtype: string
        - name: default
          dtype: bool
        - name: description
          dtype: 'null'
    - name: state
      dtype: string
    - name: locked
      dtype: bool
    - name: assignee
      dtype: 'null'
    - name: assignees
      sequence: 'null'
    - name: milestone
      dtype: 'null'
    - name: comments
      sequence: string
    - name: created_at
      dtype: timestamp[s]
    - name: updated_at
      dtype: timestamp[s]
    - name: closed_at
      dtype: timestamp[s]
    - name: author_association
      dtype: string
    - name: active_lock_reason
      dtype: string
    - name: body
      dtype: string
    - name: reactions
      struct:
        - name: url
          dtype: string
        - name: total_count
          dtype: int64
        - name: '+1'
          dtype: int64
        - name: '-1'
          dtype: int64
        - name: laugh
          dtype: int64
        - name: hooray
          dtype: int64
        - name: confused
          dtype: int64
        - name: heart
          dtype: int64
        - name: rocket
          dtype: int64
        - name: eyes
          dtype: int64
    - name: timeline_url
      dtype: string
    - name: performed_via_github_app
      dtype: 'null'
    - name: state_reason
      dtype: string
    - name: draft
      dtype: bool
    - name: pull_request
      struct:
        - name: url
          dtype: string
        - name: html_url
          dtype: string
        - name: diff_url
          dtype: string
        - name: patch_url
          dtype: string
        - name: merged_at
          dtype: timestamp[s]
  splits:
    - name: train
      num_bytes: 9990717
      num_examples: 2814
  download_size: 3607838
  dataset_size: 9990717
annotations_creators:
  - found
language:
  - en
language_creators:
  - found
license:
  - mit
multilinguality:
  - monolingual
pretty_name: Peewee Github Issues
size_categories:
  - n<1K
source_datasets:
  - original
tags:
  - peewee
  - python
  - github
  - issues
task_categories:
  - text-classification
  - feature-extraction
task_ids:
  - topic-classification
  - multi-label-classification

Dataset Card for Peewee Issues

Dataset Summary

Peewee Issues is a dataset containing all the issues in the Peewee github repository up to the last date of extraction (5/3/2023). It has been made for educational purposes in mind (especifically, to get me used to using Hugging Face's datasets), but can be used for multi-label classification or semantic search. The contents are all in English and concern SQL databases and ORM libraries.