EvoCorps Misinformation News: Real and Fake Narrative Texts for Detection Research

EvoCorps Misinformation News Dataset provides paired examples of genuine news articles and fabricated narratives for research. The dataset, created by user loge2146 and last updated on February 12, 2026, is designed for tasks in misinformation detection and fact verification. It is hosted on Hugging Face and categorized for text classification and natural language processing.

Use Cases

• Train text classification models to distinguish real news from fake narratives based on the paired text structure.
• Develop natural language processing models for misinformation detection based on the provided examples.
• Conduct research on the linguistic features of fabricated narratives compared to genuine news articles.
• Benchmark fact verification algorithms using the dataset's labeled examples.

Strengths

• Dataset is explicitly designed for a specific research domain: fake news detection and analysis.
• Contains paired examples of both real news text and fake narrative text, which suggests a comparative structure.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Hugging Face user loge2146.

Collection Method

How gathered is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated 2026-02 12 15:22:39; freshness should be verified.

Geography

Spatial coverage is unknown.