QomSSLab/RAG-Bench-General

Dataset Structure

This dataset contains two subsets:

• QA: Question-answer pairs with document IDs

  • question (string): The question text
  • doc_id (string): Reference ID to the corresponding document

• Documents: Document contents referenced by the QA subset

  • id (string): Unique document identifier
  • content (string): The document text content

Data Construction

The data is constructed using Real-World System Data; Queries and their corresponding reference answers are collected from existing system records. No synthetic generation or augmentation is applied. Each reference answer is stored in the Documents subset, with the question referencing it via doc_id.

Source

A general Q&A system logs.

Review Process

All data undergoes a manual human review process. Problematic samples are directly removed without modification. Reviewers may also use automated tools to assist in this process.

#	Criterion	Description
1	No Exact Duplication	Queries with identical wording are removed.
2	No Conceptual Duplication	Queries with different wording but identical intent and answer are removed; only one version is retained.
3	No Personal Information	Queries containing personally identifiable information that could enable misuse if the dataset is made public are removed or modified while preserving the original meaning.
4	No Noisy or Incomplete Content	Queries containing gibberish, random characters, profanity, offensive language, or otherwise inappropriate content are removed.