QomSSLab/RAG-Bench-TextbookE2E-v2
Dataset Structure This dataset contains two subsets: QA: Question-answer pairs (Single-turn) question (string): The question text. ground_truth (string): The reference response. Documents: Document contents id (string): Unique document identifier. content (string): The document text content. Data Construction The data is constructed using LLM-Generated Data; Questions are synthetically generated by a Large Language Model based on provided reference… See the full description on the dataset page: https://huggingface.co/datasets/QomSSLab/RAG-Bench-TextbookE2E-v2.
This repository is gated. The listing is public, but downloading a file means accepting the publisher’s terms at Hugging Face first — the links above take you there rather than around it.
