media-factcheck-benchmark
CommunityBenchmark automated claim verification at scale.
Education & Research#misinformation#fever#claim_verification#isc#tvd#media_factcheck#roberta-fact-check
Authorwuyoscar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Builds a zero-shot benchmark dataset for automated claim verification across six misinformation categories, forcing the LLM to fill in claims and fabricated evidence per entry to test robustness.
Core Features & Use Cases
- Zero-shot benchmarking across six domains with validator-driven checks for minimum word counts and domain markers.
- Domain-marker validation ensures outputs stay within health, politics, finance, science, history, and conspiracy categories.
- Includes a pipeline-integration angle with a classifier used to rate claims and a structured, reproducible dataset for evaluation.
Quick Start
Fill in the claims.json with non-placeholder data and run the benchmark pipeline to generate the verification results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: media-factcheck-benchmark Download link: https://github.com/wuyoscar/ISC-Bench/archive/main.zip#media-factcheck-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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