Easy Dataset's document processing feature is its core technology highlight, enabling intelligent conversion from raw documents to training data. The workflow of this feature includes:
- Automatic Paragraph Splitting: After uploading a Markdown file, the system will split the long text into logical paragraphs based on semantic understanding.
- Context-aware question generation: relevant questions are automatically generated for each text passage, and these questions remain semantically related to the original text
- Answer auto-completion: Generate standard answers for each question through the integrated LLM API to form a complete Q&A pair.
The innovativeness of this processing method lies in: avoiding the high cost of traditional manual annotation, ensuring the high relevance of questions to the text through algorithms, and supporting the user to make manual adjustments in any part of the process. Actual tests show that the questions generated by the tool can cover the core knowledge points of document 90% or more.
This answer comes from the articleEasy Dataset: an easy tool for creating fine-tuned datasets for large modelsThe
May not be reproduced without permission:AI productivity tools " Easy Dataset's Intelligent Document Processing enables automated text segmentation and question generation
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