Online Course Caption Fact Verification Benchmark

#fact verification #evidence-based reasoning #claim-evidence matching #online education #course content fact-checking #educational content quality assessment
  • 5000
  • 0.3GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-19

AI Analysis & Value Prop

This benchmark focuses on factual claims extracted from transcripts of online course videos and pairs them with relevant web text evidence, verification verdicts, evidence relations, and rationales. Designed for online education content, it supports evaluation of whether models can determine claim validity from textual evidence, assess how the evidence relates to a claim, and explain their decisions. It is suitable for fact-checking system development, model comparisons, and evidence reasoning research.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
verdictstringThe judgment about the transcript claim based on the web text evidence.
rationalestringA brief explanation of how the web text evidence supports, refutes, or is insufficient to assess the factual claim.
transcript_claimstringA factual statement extracted from an online course video transcript for verification.
evidence_relationstringDescribes how the web text evidence relates to and supports the transcript claim.
web_evidence_textstringRelevant web text used to verify the factual claim from the course transcript.

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?
Each record centers on a factual claim from an online course video transcript and includes relevant web text evidence, a verification verdict, an evidence relation, and a rationale. These fields help assess how a model uses textual evidence to reach a decision.
Which capabilities can it evaluate?
It can evaluate factual claim verification, evidence relation identification, and evidence-based decision explanations. It can also support comparisons of models on fact verification tasks involving online education content.
What are the dataset size and annotation quality?
The information currently provided does not specify the sample count, annotation process, or quality metrics. Before use, consult the dataset release page or accompanying documentation for its size, label definitions, quality controls, and recommended evaluation protocol.
How can I access the data and check its license?
Access channels, terms of use, and licensing scope depend on the dataset provider's release information. Before commercial use, redistribution, or use involving web evidence content, verify the license and any applicable copyright or usage restrictions.

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Cite this Work

@dataset{Mobiusi2026,
  title={Online Course Caption Fact Verification Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/f34b7856482bce57db905d1e0c6fd834?dataset_scene_id=7},
  urldate={2026-10-19},
  keywords={online course fact verification,caption fact checking,fact verification benchmark,web evidence reasoning,educational video evaluation,factual claim detection,evidence relation,automated evaluation dataset},
  version={1.0}
}

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