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curl -L -o README.md https://huggingface.co/datasets/Color0106/github-raw-AT1-TASK1/resolve/main/README.md
dataset_info:
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struct:
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splits:
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num_bytes: 19220900
num_examples: 4900
download_size: 4613131
dataset_size: 19220900
configs:
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data_files:
- split: train
path: data/train-*
license: other
task_categories:
- text-classification
- text-retrieval
language:
- en
tags:
- github-issues
- practice
pretty_name: GitHub Issues from huggingface/datasets
size_categories:
- 1K<n<10K
GitHub Issues – huggingface/datasets (raw)
Dataset Summary
A corpus of GitHub issues and pull requests from the JPEG XL support repository. Created as a practice exercise following AT1-Task01 and Hugging Face LLM Course ("Creating your own dataset").
How the data was collected
- Source: GitHub REST API (
/repos/huggingface/datasets/issues,state=all) - Collected on: 2026-10-05
- Pull requests are included; they can be identified by the
pull_requestfield (it isNonefor regular issues). - This "raw" version keeps the original API fields with minimal processing and does not include issue comments.
Data Collection Process
- Authentication: A read-only GitHub personal access token was stored in Kaggle Secret Key , and loaded at runtime. It was never written into the notebook.
- Collection: Issues and pull requests were requested from the GitHub REST API
using Python
requests, page by page, staying within GitHub's rate limit of 5,000 requests per hour. - Raw storage: Responses were saved as a JSON Lines file.
- Loading: The file was loaded with `datasets.load_dataset.
- Cleaning: 100 duplicate records (caused by a pagination error) were removed using
numberas a unique key. - Augmentation: Derived fields were added.
- Publishing: The dataset was pushed to the Hugging Face Hub with
push_to_hub(), authenticated with a Hugging Face write token stored in Secret Keys.
Dataset Structure
Each row is one issue or pull request. Key fields:
number– issue/PR numbertitle– titlebody– description textlabels– GitHub labelsstate– open or closedcreated_at,closed_at– timestampspull_request– present only for pull requests
Intended Uses
- Learning to build and share datasets with 🤗 Hugging Face Datasets
- Exploring how long issues take to close
- Multilabel classification of issue labels
- Semantic search over issues
Storage, Locations and Versioning
| Item | Location | Versioning | | Published dataset | https://huggingface.co/datasets/Color0106/github-raw | Hugging Face commit history (Files and versions → History) | | Raw data | Collection date: [2026-10-05] | | Notebook 1 – Collection & augmentation | [Kaggle Notebook] | [Ver 1 / 2026-10-05] | | Notebook 2 – Transformers pipeline | [Colab Notebook] | [Ver 2 / 2026/10/18] | | Notebook 3 – Semantic search (FAISS) | [Colab Notebook] | [Ver 1 / 2026/10/18] | | Access tokens | Kaggle Secrets / Colab Secrets — not stored in any file | Expire on [2026/12/05] |
Limitations
- A snapshot in time; newer issues are not included.
- Only a subset of all issues was collected.
- Text was written by GitHub users and may contain usernames, code, and links.
Legal and Policy Compliance
| Legislation / code / policy | How it applies | How this project complies |
| Privacy Act 1988 (Cth) – Australian Privacy Principles | Usernames, profile links and free text may contain personal information | Data limited to what is needed for the task; personal information is not used to profile individuals;|
| Copyright Act 1968 (Cth) | Issue text is written by GitHub users and is their work | No new licence is claimed; content is attributed and used for education | | GitHub Terms of Service and API terms | Governs use of GitHub content and the API | Official API used, rate limits respected, source attributed |
| Hugging Face Content Policy | Governs what can be published on the Hub | Dataset contains public, non-sensitive technical discussion |
| North Metropolitan TAFE data storage and management policy |
License
Issue content belongs to the original GitHub authors and is subject to GitHub's Terms of Service.
Shared here for educational purposes.
References
- Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumé III, H., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92. https://doi.org/10.1145/3458723
- GitHub. (n.d.). REST API endpoints for issues. https://docs.github.com/en/rest/issues
- GitHub. (n.d.). GitHub Terms of Service. https://docs.github.com/en/site-policy/github-terms/github-terms-of-service
- huggingface/datasets GitHub repository. https://github.com/huggingface/datasets
- Hugging Face. (n.d.). LLM Course: Creating your own dataset (Ch. 5.5), Behind the pipeline (Ch. 2.2), Semantic search with FAISS (Ch. 5.6). https://huggingface.co/learn/llm-course
- [Model used in Task 2, e.g. distilbert/distilbert-base-uncased-finetuned-sst-2-english]. Hugging Face.
- [Embedding model used in Task 3, e.g. sentence-transformers/multi-qa-mpnet-base-dot-v1]. Hugging Face.
- Office of the Australian Information Commissioner. (n.d.). Australian Privacy Principles. https://www.oaic.gov.au/privacy/australian-privacy-principles
- Copyright Act 1968 (Cth).