StackOverflow Kubernetes QA
A set of Question/Answer pairs from Stack Overflow that focuses exclusively on Kubernetes. Only the highest rated answers are kept, making this dataset ideal for training QA systems or technical assistants.
Description
StackOverflow Kubernetes QA is a textual corpus extracted from the Stack Overflow platform. It only groups Kubernetes Question/Answer pairs, with the top-rated answers for each question. Posts with a negative score have been excluded to ensure optimal content quality. The dataset is provided in Parquet and CSV formats, facilitating its integration into NLP or LLM pipelines.
What is this dataset for?
- Train or fine-tune automatic response models that specialize in technical questions related to Kubernetes
- Develop a virtual assistant or a specialized DevOps chatbot
- Analyze trends or common issues in the Kubernetes universe
Can it be enriched or improved?
Yes. It is possible to extend this dataset with other Cloud technologies or to add comments or metadata (tags, date, etc.). Alternative responses or human annotations can also be included to classify the quality of responses.
🔎 In summary
🧠 Recommended for
- AI developers
- DevOps engineers
- NLP Cloud researchers
🔧 Compatible tools
- LangChain
- Haystack
- Hugging Face Transformers
- OpenAI API
💡 Tip
Supplement this corpus with Stack Overflow comments to get more context or nuances in the responses.
Frequently Asked Questions
Is this dataset only in English?
Yes, all questions and answers are in English because they come from Stack Overflow, which is an English speaking platform.
Does the dataset contain multiple answers per question?
No, only the best rated answer is kept for each question in order to ensure the relevance of the content.
Is it suitable for training a technical QA model?
Yes, it is ideal for fine-tuning or building specialized coding models in Kubernetes or DevOps.
