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Build an LLM training dataset from a documentation site

Crawl a docs site into clean page text for LLM fine-tuning and RAG. Filter by language, remove duplicates, and export JSONL or CSV.

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AI Training Data Curator
AI Training Data Curatorvamsi-krishna/ai-training-data-curator
URL
Title
Text
Words
+3 fields
Text
Number
Boolean
List
Object

Input

Start URLs
url:https://docs.python.org/3/tutorial/+2
Sitemap URL:https://docs.example.com/sitemap.xml
Max pages:30
Minimum text length:100
Language filter:en
Remove duplicates:true
Crawl strategy:recurse
Stay within seed domains:true

Output fields

URL
Title
Text
Words
Language
Author
Published

How it works

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The AI Training Data Curator Actor is ready to run with the inputs already set for "Build an LLM training dataset from a documentation site". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an LLM training dataset from a documentation site" task

The AI Training Data Curator Actor will start running based on the input automatically. You can also change all the input fields, like start urls, sitemap url, and more, to match your specific use case.

Receive the "Build an LLM training dataset from a documentation site" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, title, text, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build an LLM training dataset from a documentation site" task via API.

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