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Signed-off-by: Kannav02 <kannavsethi02@gmail.com>
Signed-off-by: Kannav02 <kannavsethi02@gmail.com>
…ation Signed-off-by: Kannav02 <kannavsethi02@gmail.com>
Signed-off-by: Kannav02 <kannavsethi02@gmail.com>
Signed-off-by: Jack Luar <jluar@precisioninno.com>
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This PR introduces a complete dataset generation and evaluation pipeline for creating high-quality question-answer pairs from OpenROAD documentation. The system includes automated QA pair generation using Gemini Pro and comprehensive quality evaluation metrics
The reference for all of the code and logic has been taken from the following link:
https://huggingface.co/learn/cookbook/en/rag_evaluation
The following files have been added under the folder
dataset_gen_evaleval_dataset.py: Evaluation script that loads generated QA pairs and applies quality metricsgenerate_qa_pairs.py: Automated QA pair generation using Gemini Pro 2.5 to create factoid questions from domain-specific document chunksingest_doc.py: Document processing pipeline that chunks and indexes PDF/Markdown files into FAISSquality_agents.py: Custom DeepEval metrics implementation with three quality assessment classes