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IntelligentBench (BAGEL evaluation suite).

IntelligentBench is an evaluation suite introduced in the paper "Emerging Properties in Unified Multimodal Pretraining" (BAGEL). It is designed to evaluate free-form image manipulation and complex multimodal reasoning capabilities of unified multimodal models. The paper reports an initial release of 350 examples and that evaluations were run with GPT-4o. The benchmark is intended to probe advanced multimodal reasoning behaviours demonstrated by BAGEL (e.g., free-form image manipulation, future-frame prediction, 3D manipulation and world navigation). No public Hugging Face dataset entry for IntelligentBench was found during the search (dataset appears to be introduced in the BAGEL paper and may be hosted later on the project/GitHub page).

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  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies