README.md

metadata

dataset_info:
  features:
    - name: shape
      dtype: string
    - name: background_color
      dtype: string
    - name: image
      dtype: image
    - name: metadata
      dtype: string
  splits:
    - name: regular_polygons
      num_bytes: 3950491.492
      num_examples: 1948
    - name: regular_polygon_pairs
      num_bytes: 17922128.490000002
      num_examples: 5090
    - name: abstract_shapes
      num_bytes: 1522583
      num_examples: 403
    - name: heptagons_with_visual_cues
      num_bytes: 6340402.2
      num_examples: 1400
    - name: arrow_on_plus_with_visual_cues
      num_bytes: 9327783.92
      num_examples: 1540
  download_size: 26192011
  dataset_size: 39063389.102
configs:
  - config_name: default
    data_files:
      - split: regular_polygons
        path: data/regular_polygons-*
      - split: regular_polygon_pairs
        path: data/regular_polygon_pairs-*
      - split: abstract_shapes
        path: data/abstract_shapes-*
      - split: heptagons_with_visual_cues
        path: data/heptagons_with_visual_cues-*
      - split: arrow_on_plus_with_visual_cues
        path: data/arrow_on_plus_with_visual_cues-*
task_categories:
  - image-classification
library_name:
  - pytorch

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind

This dataset is part of the work "Forgotten Polygons: Multimodal Large Language Models are Shape-Blind".
📖 Read the Paper
💾 GitHub Repository

Overview

This dataset is designed to evaluate the shape understanding capabilities of Multimodal Large Language Models (MLLMs).

Dataset Splits

Each split corresponds to a different reasoning task and shape identification challenge.

🟢 Regular Polygons (regular_polygons)

• Task: Shape Identification & Sides Counting
• Description: Consists of images of regular polygons (e.g., triangles, pentagons, hexagons, etc.).
• Example Queries:
  • "What shape is in the image?"
  • "How many sides does the shape in the image have?"

🟡 Regular Polygon Pairs (regular_polygon_pairs)

• Task: Multi-Shape Reasoning
• Description: Images contain two distinct polygons. The task involves identifying both shapes, counting their sides, and summing the total.
• Example Query:
  • "What are the two shapes in the image, and how many sides do they have in total?"

🔵 Abstract Shapes (abstract_shapes)

• Task: Complex Shape Recognition
• Description: Features irregular and merged polygons, stars, arrows, and abstract geometric figures.
• Example Query:
  • "How many sides does this shape have?"

🟣 Heptagons with Visual Cues (heptagons_with_visual_cues)

• Task: Visually-Cued Chain-of-Thought (VC-CoT) Reasoning
• Description: Evaluates VC-CoT prompting by annotating it with visual cues on top of heptagon images.
• We chose heptagons because it was the most difficult regular polygon for MLLMs.
• The annotations range from ordered numbers and letters, to random numbers and letters.
• Example Query:
  • "Observe the shape and list the numbers you see. How many sides does the shape have?"

🔴 Arrow on Plus with Visual Cues (arrow_on_plus_with_visual_cues)

• Task: VC-CoT with Alternative Visual Cues
• Description: Similar to the heptagons_with_visual_cues split but using arrow-on-plus shapes instead.
• Example Query:
  • "Count the total number of numbers associated with the shape’s sides."

Citation

If you use this dataset, please cite:

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
Arxiv: 2502.15969