Cross-Passage Question Answering for Religious Texts

Name: Cross-Passage Question Answering for Religious Texts
Creator: MOBIUSI INC
Published: 2026-10-19
License: https://creativecommons.org/licenses/by-nc-sa/4.0/

#multi-hop question answering #cross-passage reasoning #evidence-grounded answer generation #religious text studies #cross-passage evidence analysis #religious knowledge research

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

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.

Dataset Insights

Sample Examples

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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.

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

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}
}

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