Datasets › Bongard-OpenWorld

Bongard-OpenWorld

Introduced by Rujie Wu et al. in Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World16 Oct 2023 archive 2025-07-28

Bongard-OpenWorld is a new benchmark for evaluating real-world few-shot reasoning for machine vision. We hope it can help us better understand the limitations of current visual intelligence and facilitate future research on visual agents with stronger few-shot visual reasoning capabilities.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Visual Reasoning Bongard-OpenWorld Gemini-2.0 + CA 2-Class Accuracy 93.6 A Cognitive Paradigm Approach to Probe the... — 9 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 3. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs 0 2 23 Jan 2025 not harvested
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World 1 7 16 Oct 2023 ran 7 of 10 samples (3 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Bongard-OpenWorld

1 variant name, as the archive lists them.

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