---
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. |