Train precise citation coverage and completeness checks with synthetic social ads and structured evidence annotations.

Link news claims to their sources and supporting evidence so models can preserve reporting differences without deciding which account is true.

Ground professional music licensing Q&A and key clause analysis in the contract text.

Train models to trace breaking news across reports and reconstruct evidence-backed event timelines.

Trace out-of-home ad claims from claim extraction through evidence linking to an overall fact-review conclusion.

Train code models on practical mobile shooter scenarios involving touch controls, aiming, and firing interactions.

Train models to generate clearly structured advertising text for outdoor media using verifiable layout constraints across multiple display formats.

Extract structured events from international news and trace key attributes back to evidence in the source text.

Connect breaking-news claims with webpage evidence and verdicts to support traceable, evidence-based fact-checking.

Test whether numerical claims in social ads are genuinely supported by citations with explicit metric definitions and conditions.

Generate video ad copy grounded in product facts and evaluate it with verifiable measures of required-fact retention and unsupported claims.

Extract source-grounded developments and timelines from international news reports while keeping cross-report differences explicit.

Train models to predict hero health, shield, and control-state changes from combat events and rules with structured examples for MOBA state modeling.

Train models to turn advertising briefs into structured social media creative that fits directly into advertising workflows.

The street dance action estimation video dataset is dedicated to improving the accuracy of dance action recognition and estimation.

Train models to predict the next MOBA lane state from synthetic events and structured pre-event conditions.

Develop billboard detection and localization models with UAV aerial imagery and position annotations.

Use synthetic recommendation copy and structured evidence labels to detect when personal experiences are improperly presented as universal facts.

Train on practical Lua and Luau completion examples for core ad and in-app purchase flows in mobile casual games.

Turn out-of-home advertising compliance requirements into structured constraints for precise extraction of brand rules, disclosures, and placement restrictions.