README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: turncase
      dtype: string
    - name: prompt_category
      dtype: string
    - name: eval_focus
      dtype: string
    - name: prompt
      dtype: string
    - name: images_by_turn
      dtype: string
    - name: rubrics
      dtype: string
  splits:
    - name: train
      num_bytes: 3506927656
      num_examples: 1191
  download_size: 3506927656
  dataset_size: 3506927656
  configs:
    - config_name: default
      data_files:
        - split: all
          path: data/*.parquet

VisuAlToolBench is a challenging benchmark to assess tool-enabled visual perception, transformation, and reasoning in multimodal LLMs. It evaluates whether models can not only think about images but also think with images by actively manipulating visuals (e.g., crop, edit, enhance) and integrating general-purpose tools to solve complex tasks. The dataset contains single-turn and multi-turn tasks across diverse domains, each accompanied by detailed rubrics for systematic evaluation.

Paper: BEYOND SEEING: Evaluating Multimodal LLMs on Tool-enabled Image Perception, Transformation, and Reasoning