French Learner Error Analysis and Evidence-Based Q&A Dataset

#learner error analysis #grammar correction #evidence-based question answering #French language learning #learner error correction #grammar tutoring
  • 3150
  • 0.2GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-26

AI Analysis & Value Prop

This dataset provides structured question-answer examples about representative errors made by French learners, addressing why an expression is incorrect, which grammar or usage rule applies, and how to express the intended meaning correctly. Records can include the erroneous expression, learner question, error analysis, corrected expression, applicable rule, and supporting reference details such as title, excerpt, and locator. It is designed for supervised fine-tuning and evaluation of French learning assistants, grammar correction systems, and domain-specific question-answering models.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
answer_textstringA clear response addressing the learner's question and explaining the error and its correction.
applicable_rulestringThe specific grammar or usage rule that explains the error and supports the correction.
learner_questionstringThe question asking why the expression is incorrect, which rule applies, or how to express the intended meaning correctly.
error_explanationstringAn explanation of why the erroneous expression is incorrect or inappropriate in context.
reference_excerptstringThe relevant excerpt or a concise, faithful summary of the supporting grammar or usage material.
reference_locatorstringA source locator for the supporting material, such as a URL, page number, section, or dictionary entry.
corrected_expressionstringA grammatically or idiomatically appropriate French expression that preserves the intended meaning.
erroneous_expressionstringThe French expression containing the representative learner error, as provided in the source item.
reference_material_typestringWhether the supporting material is primarily a grammar reference or a usage reference.
reference_material_titlestringThe title of the grammar or usage material supporting the answer.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?
It covers representative errors made by French learners and includes erroneous expressions, learner questions, answers, error explanations, corrected expressions, and applicable rules. Records may also provide reference types, titles, excerpts, and source locators.
How do the references support model training?
References link answers to grammar or usage materials, helping models learn to explain and correct errors using relevant rules rather than merely rewriting an expression. The available citation details depend on the individual record.
Which training and evaluation tasks does it support?
It supports French error diagnosis, grammar correction, rule explanation, evidence-grounded question answering, and closed-domain question answering. It can also be used to evaluate the accuracy and traceability of language-learning assistant responses.
How can the dataset be obtained, and what are the licensing terms?
Availability, delivery format, and permitted uses depend on the product listing or provider terms. Before use, confirm whether the license covers training, evaluation, commercial deployment, and any applicable restrictions on reference materials.

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Cite this Work

@dataset{Mobiusi2026,
  title={French Learner Error Analysis and Evidence-Based Q&A Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/14eef2174a405ac0b0a70318a8e733b1},
  urldate={2026-10-22},
  keywords={French learning dataset,French grammar correction,French error analysis,French Q&A data,French learner errors,evidence-grounded Q&A,French SFT data,French language model training},
  version={1.0}
}

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