German Grammar Instruction Web Documents SFT Dataset

#grammatical rule understanding #grammar correctness judgment #cross-paragraph question answering #German language learning #grammar instruction #intelligent language tutoring

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset covers German grammar instruction from web pages, including rule explanations, example sentences, exceptions, and exercise prompts. It organizes the source HTML alongside document overviews, structured grammar sections, and rule records, with supervision for semantic explanations, rule applicability judgments, and cross-paragraph question answering. It supports training models to interpret grammar concepts in context and developing German learning assistants and document question-answering systems.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
source_html	string	The original HTML content of a German grammar teaching page, provided as the raw input for data processing.
grammar_rules	array	German grammar rules extracted from the instructional document, including applicability conditions, exceptions, example sentences, and exercise prompts.
grammar_sections	array	Instructional sections segmented and structured in the original page order, preserving their content and teaching function.
document_overview	object	An overview extracted from the source page, including its title, grammar topic, learner level, document language, and overall summary.
cross_paragraph_qa	array	Questions requiring information from multiple instructional sections, paired with answers, supporting section references, and reasoning.
semantic_explanations	array	Chinese-language semantic explanations of rules, examples, or key expressions, including interpretations grounded in context.
rule_applicability_judgments	array	Judgments on whether a rule applies to a specific German sentence or context, with supporting rationale and confidence.

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?: It includes source HTML from German grammar teaching pages, document overviews, structured instructional sections, and grammar rules. It also provides semantic explanations, rule applicability judgments, and cross-paragraph question-answer supervision.

Which model capabilities can it support?: The data can support training models to parse instructional documents, explain German grammar and examples, judge whether a rule applies in a given context, and answer questions that require information from multiple sections.

Where can I find the dataset size and quality metrics?: The available description does not specify a sample count or standardized quality metrics. Before purchase or use, check the product listing for dataset size, sample records, field specifications, and availability details.

How is the dataset accessed, and what are the licensing terms?: Refer to the product listing for access instructions, license terms, and usage restrictions. Before commercial deployment, redistribution, or model training, verify the permitted uses and rights applicable to the web content.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={German Grammar Instruction Web Documents SFT Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/d6436ab19c9a7563c58d55bed03ce226},
  urldate={2026-10-15},
  keywords={German grammar dataset,German teaching web pages,German grammar SFT,German learning corpus,grammar rule understanding,document QA data,semantic understanding training,German education AI},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Products

Scene

Domain

Modality

Task