Sfoglia categorie
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Fiverr Pro
Italiano
$
USD
I will prepare your dataset for llm fine tuning or rag ingestion
Fix the cause, not the symptom
I’m a Full Stack Developer specializing in AI, automation, and modern web applications. I build AI assistants, LLM integrations, RAG systems, SaaS platforms, React/Next.js apps, backend APIs, Telegram...
Informazioni su questo servizio
I clean and prep your dataset for LLM fine-tuning or RAG ingestion exported in the format your trainer expects (JSONL / Parquet / HuggingFace / OpenAI / Axolotl / LLaMA-Factory).
What you get:
Missing values handled, dedup (exact + fuzzy), outliers treated
Label audit + stratified train/val/test splits
Text cleaning: HTML strip, Unicode normalize, language detection
Format export for HuggingFace Datasets, OpenAI JSONL, Axolotl, or LLaMA-Factory
Data validation report (Great Expectations)
Stack: Pandas, NumPy, Polars, LangChain, LlamaIndex, HuggingFace Datasets.
Dataset size: 50K rows (Basic) / 500K rows (Standard) / 5M rows (Premium). RAG chunking + embedding export included on Premium.
Message me with one sentence about your use case I'll reply within 2 hours with a fixed quote.
Linguaggio di programmazione:
Python
Framework e strumenti per modelli IA:
Tipo di dati:
Testo
Motore IA:
GPT
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Llama
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Altro
FAQ
What dataset formats do you accept?
CSV, TSV, Excel, JSON, JSONL, Parquet, and any HuggingFace Datasets-compatible format. I also accept scraped text from PDFs, Notion exports, Confluence pages, Slack threads, and customer support transcripts
Can you handle RAG-specific chunking?
Yes, on Premium I run token-aware or semantic chunking and export embeddings in a vector-store-ready schema for Pinecone, Weaviate, or Qdrant with metadata preserved for filtering at query time.
Do you support open-source models like Llama 3 or Mistral?
Yes — I format outputs to match HuggingFace chat template, Axolotl, or LLaMA-Factory configs. Multi-turn conversation structure is preserved. Local-LLM setups (unsloth, PEFT, QLoRA) supported on request.
Can you remove PII or sensitive data from my dataset?
PII scrubbing (regex + spaCy NER) is available on request — not a substitute for your own compliance review. Signed NDA available before any data transfer.
