Digital Humanities Textbook Historical Source Contextual Question Answering Dataset
#question answering #historical context understanding #evidence-grounded reasoning #digital humanities education #historical source interpretation #humanities knowledge learning
- 5000
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset contains humanities questions grounded in excerpts, annotations, background notes, and analyses from digital textbooks in history, literature, and the social sciences. Topics include source attribution, historical context, central arguments, relationships among figures, and evidence interpretation. Records provide reference answers and supporting evidence details, making the collection useful for domain-specific fine-tuning, knowledge-based QA evaluation, and research on long-tail questions that require contextual grounding.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| answer | string | A complete answer based on the original textbook material that directly addresses the question and respects the source context. |
| question | string | A humanities question based on textbook source material and its context, requiring an answer informed by subject-matter knowledge. |
| core_claims | array | The main arguments or conclusions distilled from the textbook material and answer. |
| key_entities | array | Important people, works, organizations, places, events, or concepts mentioned in the question and answer. |
| evidence_spans | array | Original text excerpts that support the answer, with their roles in the reasoning. |
| question_focus | string | The main aspect addressed by the question, such as source attribution, historical context, central arguments, relationships among figures, concept interpretation, or evidence reasoning. |
| source_material | object | Original sources, annotations, background notes, and analyses from digital textbook pages in history, literature, or the social sciences. |
| answer_confidence | number | A confidence score from 0 to 1 based on evidence sufficiency, context completeness, and clarity of source attribution. |
| historical_period | string | The historical period, literary period, or social and intellectual context relevant to the question and answer. |
| evidence_explanation | string | Explains which source content, annotations, or textbook analysis supports the answer and how the evidence supports the conclusion. |
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 topics does the dataset cover?
- It draws on source excerpts, annotations, background notes, and analyses from digital textbooks in history, literature, and the social sciences. Questions address source attribution, historical context, central arguments, relationships among figures, concept interpretation, and evidence-based reasoning.
- What information is included in each record?
- Records include source material, a question, a reference answer, and an evidence explanation. Additional fields can capture the question focus, relevant period, core claims, evidence spans, key entities, and an answer confidence score ranging from 0 to 1.
- Which model tasks is it suitable for?
- The data supports humanities question answering, evidence-grounded responses, contextual reasoning, and domain-specific supervised fine-tuning. It can also be used to evaluate whether a model interprets sources in their textbook context rather than relying only on isolated facts.
- What are the dataset size and licensing terms?
- The provided information does not specify a sample count or licensing terms. Check the product details or delivery documentation for dataset size, source-use scope, license conditions, and permission for commercial training. Any use of source materials should comply with applicable rights.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Digital Humanities Textbook Historical Source Contextual Question Answering Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/e2be853a48cb7136352ace8ded5567c0},
urldate={2026-10-16},
keywords={digital humanities QA data,textbook source dataset,humanities question answering,historical context QA,literature textbook QA,social science QA,evidence reasoning data,domain-specific SFT},
version={1.0}
}Using this in research? Please cite us.
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