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13.1 kB
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| splits: | |
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| num_bytes: 19220900 | |
| num_examples: 4900 | |
| download_size: 4613131 | |
| dataset_size: 19220900 | |
| configs: | |
| - config_name: default | |
| 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](https://github.com/huggingface/datasets/issues/8537) 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_request` field | |
| (it is `None` for regular issues). | |
| - This "raw" version keeps the original API fields with minimal processing | |
| and does not include issue comments. | |
| ## Data Collection Process | |
| 1. **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. | |
| 2. **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. | |
| 4. **Raw storage:** Responses were saved as a JSON Lines file. | |
| 5. **Loading:** The file was loaded with `datasets.load_dataset. | |
| 6. **Cleaning:** 100 duplicate records (caused by a pagination error) were removed using | |
| `number` as a unique key. | |
| 7. **Augmentation:** Derived fields were added. | |
| 8. **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 number | |
| - `title` – title | |
| - `body` – description text | |
| - `labels` – GitHub labels | |
| - `state` – open or closed | |
| - `created_at`, `closed_at` – timestamps | |
| - `pull_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](https://docs.github.com/en/site-policy/github-terms/github-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). | |