Magicoder OSS Instruct 75K
Corpus of QA instructions generated from open-source projects, useful for fine-tuning LLMs in the field of software development.
Description
Magicoder OSS Instruct 75K is a dataset composed of 75,000 instruction-response pairs generated from open-source projects, using the GPT-3.5 model. It is intended to feed the training of models specialized in assisted software development.
What is this dataset for?
- Train language models to respond to technical or programming requests.
- Building AI assistants specialized in open-source projects.
- Serve as a basis for experiments in tuning instructions on real code.
Can it be enriched or improved?
Yes, the dataset can be extended with instructions from other languages, tools, or software contexts. Manual or automatic annotations can improve the relevance of responses. It is also possible to cross-reference the generated code fragments with quality or execution metrics.
🔎 In summary
🧠 Recommended for
- Technical NLP researchers
- AI Developers
- AI co-pilot projects
🔧 Compatible tools
- Hugging Face Transformers
- LoRa
- OpenChatKit
💡 Tip
Filter pairs with complex logic to adapt to smaller or specialized models.
Frequently Asked Questions
Does this dataset only contain code?
No, it contains instructions and answers in natural language, often accompanied by open-source code snippets.
Can it be used to train a development assistant?
Yes, it is one of its main uses. It is suitable for fine-tuning an LLM on programming tasks.
Is the dataset multilingual?
No, it is mostly in English, oriented towards international open-source projects.
