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English
$
USD
I will collect and clean QA data for llm and ai training
Python Developer, Web Scraping and Data Analysis Expert
Do you need web data extracted or messy spreadsheets cleaned into clear insights?
I am a Python developer specializing in data scraping, cleaning, and analysis using Pandas and NumPy. I turn raw dat...
About this Gig
Need clean, structured Q&A data to fine-tune or train an AI/LLM model?
I build data collection pipelines that pull question-and-answer pairs from public, API-based sources (not fragile HTML scraping), clean the text, filter out low-quality or PII-containing content, and deliver ready-to-use instruction/response JSONL the exact format used to fine-tune models like GPT and Llama.
What you get:
- Clean, deduplicated Q&A pairs in JSONL format
- HTML stripped, code blocks preserved, whitespace normalized
- Quality filtering (score thresholds, minimum length, PII screening)
- Full source attribution for licensing compliance
- A stats report (dataset size, avg length, score distribution)
I use official public APIs rather than scraping sites that prohibit it (like Reddit/Quora) so your dataset is clean, legal, and reliable.
Tell me your topic/domain and how many records you need, and I'll confirm scope before you order.
Expertise:
Other
Programming language:
Python
Tools:
Jupyter Notebook
FAQ
Which sources do you collect from?
Public, documented APIs (e.g. Stack Exchange) that explicitly allow this kind of collection — not scraping platforms that prohibit it.
What format is the data delivered in?
JSONL (instruction/response pairs), the standard format for LLM fine-tuning. CSV/JSON also available on request.
Can you do a custom topic/domain?
Yes — message me your topic and target record count before ordering so I can confirm feasibility.
