JourneyBench Multi-Image Visual Question Answering Test Set

JourneyBench Multi_Image_VQA is a test-only dataset for debugging multimodal reasoning models. It contains visual question answering examples requiring analysis across multiple images. The dataset was created by author hiyouga and last updated in April 2025.

Use Cases

• Debug multi-image reasoning models using the provided Visual Question Answering examples.
• Benchmark model performance on English-language Image Understanding tasks from the JourneyBench source.
• Test multimodal systems on tasks labeled for Computer Vision and Text comprehension.

Strengths

• Dataset is specifically designated for test and debugging purposes, ensuring clean evaluation.
• Contains multimodal examples combining Image and Text data for Visual Question Answering.
• Updated recently on 2025-04-14.

Limitations

• Dataset size, row count, and column structure are unknown.
• Explicitly restricted to debugging; should NOT be used for model training.
• Sample data and file formats are unavailable for preview.

Provenance

Source

Converted from JourneyBench/JourneyBench_Multi_Image_VQA on Hugging Face.

Collection Method

Converted using a custom script processing image data.

Time Range

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Freshness

Last updated 2025-04-14.

Geography

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