| # GitHub Issues Dataset Card | |
| **Author / Maintainer:** @xanderIV | |
| **Point of Contact:** @xanderIV | |
| --- | |
| ## Dataset Description | |
| ### Dataset Summary | |
| GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository: | |
| https://github.com/huggingface/datasets | |
| This dataset is curated and documented by **@xanderIV** for educational and research purposes. | |
| It can be used for: | |
| - Semantic search | |
| - Multilabel text classification | |
| - Automated issue triaging | |
| - Topic modeling | |
| - LLM fine-tuning | |
| - Retrieval-Augmented Generation (RAG) experiments | |
| The dataset contains English-language technical discussions related to NLP, computer vision, speech, multimodal ML systems, and ML infrastructure. | |
| This dataset is particularly relevant for: | |
| - Developer assistant systems | |
| - LLM-powered support automation | |
| - DevOps / MLOps / LLMOps workflows | |
| - Research in applied ML systems | |
| --- | |
| ## Supported Tasks and Leaderboards | |
| ### 1. Text Classification (`text-classification`) | |
| The dataset can be used for **multilabel text classification**, where a model predicts one or more labels (e.g., `bug`, `enhancement`, `documentation`) for each issue. | |
| **Typical metrics:** | |
| - F1 score | |
| - Accuracy | |
| - Precision | |
| - Recall | |
| **Suggested models:** | |
| - `distilbert-base-uncased` | |
| - `roberta-base` | |
| - `microsoft/deberta-v3-base` | |
| --- | |
| ### 2. Information Retrieval (`information-retrieval`) | |
| The dataset can be used for **semantic search**, where the task is to retrieve the most relevant GitHub issue given a user query. | |
| **Typical metrics:** | |
| - MRR (Mean Reciprocal Rank) | |
| - Recall@k | |
| **Suggested models:** | |
| - `sentence-transformers/all-MiniLM-L6-v2` | |
| - `BAAI/bge-base-en-v1.5` | |
| - `intfloat/e5-base` | |
| --- | |
| ### 3. Issue Triaging (`other:issue-triaging`) | |
| The dataset can be used for automated issue routing and classification. | |
| The task consists of: | |
| - Predicting labels | |
| - Suggesting maintainers | |
| - Routing issues to appropriate teams | |
| **Metrics:** | |
| - Classification accuracy | |
| - Routing precision | |
| --- | |
| ### 4. LLM Fine-Tuning (`other:llm-finetuning`) | |
| The dataset can be used to fine-tune large language models for: | |
| - Developer assistants | |
| - Issue summarization | |
| - Pull request review generation | |
| - Support automation | |
| **Suggested models:** | |
| - `meta-llama/Llama-3-8B-Instruct` | |
| - `mistralai/Mistral-7B-Instruct-v0.2` | |
| - `Qwen/Qwen2.5-7B-Instruct` | |
| --- | |
| ## Languages | |
| - Primary language: English (`en`, BCP-47) | |
| Text characteristics: | |
| - Technical discussions | |
| - Developer communication | |
| - Bug reports | |
| - Code snippets (Python, YAML, JSON, etc.) | |
| - Configuration files | |
| Language style: semi-formal, domain-specific (software engineering / ML infrastructure). | |
| --- | |
| ## Dataset Structure | |
| ### Data Instances | |
| Example instance: | |
| ```json | |
| { | |
| "issue_id": 12345, | |
| "title": "Dataset loading fails with streaming=True", | |
| "body": "When trying to load the dataset with streaming enabled...", | |
| "labels": ["bug", "datasets"], | |
| "author": "username", | |
| "created_at": "2023-06-10T14:32:00Z", | |
| "comments": [ | |
| { | |
| "author": "maintainer", | |
| "text": "Can you provide the stack trace?" | |
| } | |
| ] | |
| } |