Sign in to view source links and access this dataset
Description
A Vietnamese multilabel dataset designed to assess large language models in verifying electronic information for legal contexts. The dataset, named RMDM, contains four labels: real, misinformation, disinformation, and mal-information. It was created by nguyenthanhasia and last updated on March 31, 2025.
Use Cases
Train multilabel classifiers for fake news detection based on the four defined information labels.
Benchmark large language models on Vietnamese information verification tasks.
Study the distinctions between misinformation, disinformation, and mal-information in a legal evidence context.
Strengths
Includes four distinct labels (real, mis, dis, mal) for nuanced classification.
Specifically designed for assessing LLMs in Vietnamese legal information verification.
Limitations
Row count, column definitions, and file formats are unknown, limiting suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Last updated 2025-03-31 13:22:35; freshness should be verified.
Provenance
Source
nguyenthanhasia
Freshness
Last updated 2025-03-31 13:22:35.
Geography
Vietnam
License is unknown; terms of use must be verified before application.