Dataset Creation for LLMs
Datasets Open Source
Objective
Create high-quality datasets for training and fine-tuning language models. Focus on French (underrepresented) and multi-language code data.
Methodology
1. Ethical scraping with robots.txt compliance and rate limiting 2. Data cleaning and deduplication 3. Structuring in optimized format (Parquet) 4. Quality validation with sampling 5. Publication on HuggingFace Hub
Results
Wikipedia FR: 2M+ encyclopedia articles (addressing French language underrepresentation) Wikipedia EN: 6M+ high-quality encyclopedia articles StackOverflow: 32.5M+ technical Q&A entries (code generation, debugging) All datasets are structured in optimized Parquet format with preserved metadata, cross-referenced links, and category hierarchies. Ready for immediate fine-tuning with HuggingFace Transformers.