FactShield: Experimental Artifacts for a Modular Claim Verification Pipeline

FactShield is a dataset containing experimental artifacts for a preliminary evaluation of a modular pipeline for automatic claim verification in audiovisual content. The dataset was authored by Fabiann Barbosa and last updated on May 23, 2026. It is a small dataset of 35.6 KB, available in ZIP and XLSX formats under a CC-BY-4.0 license.

Use Cases

• Benchmarking automated fact-checking pipelines based on the described modular architecture.
• Evaluating the integration of Automatic Speech Recognition (ASR) and Large Language Models (LLMs) for claim extraction and verification.
• Testing web scraping components for evidence retrieval in misinformation detection workflows.

Strengths

• Dataset is licensed under the permissive CC-BY-4.0 license.
• Last update timestamp is precisely recorded as 2026-05-23 00:48:05.
• File size is precisely known to be 35.6 KB.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is brief and does not detail the specific contents of the experimental artifacts.

Provenance

Source

Fabiann Barbosa

Collection Method

Likely generated as part of a research project evaluating the FactShield pipeline.

Freshness

Last updated 2026-05-23 00:48:05; freshness should be verified.