Cross-Passage Question Answering for Religious Texts
- Records
- 5000
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
Designed for religious text research and domain-specific model training, this collection contains questions that require information from multiple passages, including thematic echoes, causal links, event sequences, supplementary details, and contrasts. Each example provides a question, the text and relevant passage materials, an answer with supporting evidence, and an explanation of the relationships used. It supports evidence integration and traceable responses within a defined corpus, as well as closed-domain QA and domain expert SFT.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| answer | string | A direct response synthesized from relevant passages in the source text. |
| evidence | array | The source passages and specific quotations that support the answer. |
| reasoning | string | An explanation of how information from different passages is connected to derive the answer. |
| relation_type | string | The relationship between the passages used, such as thematic echo, causal link, event sequence, supplementary explanation, or contrast. |
| source_material | string | The original input, including the question, the title of the religious text, and the identifiers and contents of relevant passages. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What does the dataset contain?
- Each example includes a question and source text materials, an answer synthesized from multiple passages, supporting evidence passages, a relationship type, and an explanation of the cross-passage reasoning.
- Which capabilities can this data support?
- It can support training and evaluation for closed-domain question answering, multi-hop information integration, cross-passage reasoning, and evidence attribution within a defined collection of religious texts.
- How do the evidence annotations help with training?
- The evidence field identifies supporting passages and quotations, while the reasoning field explains how they connect. Together, they help train and assess answer traceability and evidential support.
- How can the data be obtained, and what should users check?
- Refer to the product page for the available access method, data format, and licensing terms. Text editions and quotation rights may vary by source, so verify applicable permissions and review data quality for the intended use.
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Cite this Work
@dataset{Mobiusi2026,
title={Cross-Passage Question Answering for Religious Texts},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/880e93690d6a5e8f449052873c89f3a0?dataset_scene_id=21},
urldate={2026-10-19},
keywords={religious text QA dataset,cross-passage question answering,scripture QA data,religious text corpus,closed-domain QA dataset,multi-hop QA data,evidence attribution training,domain-specific SFT},
version={1.0}
}Using this in research? Please cite us.