metadata
configs:
- config_name: QA
data_files: QA.json
features:
- name: question
dtype: string
- name: ground_truth
dtype: string
- config_name: Documents
data_files: Documents.json
features:
- name: id
dtype: string
- name: content
dtype: string
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 Real-World System Data; Queries and their corresponding reference answers are collected from existing system records. No synthetic generation or augmentation is applied. The reference document text is stored in the Documents subset.
Source
A religious 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. |