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Datasets:
AIIRLab
/
MATVB

Tasks:
Image-to-Text
Languages:
English
Size:
1K<n<10K
Tags:
image-captioning
image-text-retrieval
mathematics
multimodal
benchmark
wikipedia
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MATVB / README.md
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metadata 
configs:
  - config_name: default
    data_files:
      - split: train
        path: images.zip
task_categories:
  - image-captioning
  - image-text-retrieval
language:
  - en
tags:
  - mathematics
  - multimodal
  - benchmark
  - wikipedia
size_categories:
  - 1K<n<10K

MAT-VB: MAthematical Text-Vision Benchmark

🏆 Best Resource Paper Award — 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Official Hugging Face dataset repository for MAT-VB, a benchmark built on Wikipedia math images designed to advance research in multi-modal mathematical tasks, including visual-text retrieval and math image captioning.

🔗 Links

📁 Dataset Contents

MAT-VB provides a curated collection of mathematical visual data from Wikipedia for evaluating multimodal AI models:

  • images.zip: Contains all ~4,000 Wikipedia math image files (216 MB uncompressed archive).
  • Metadata & Annotations: Includes descriptive captions, query-image mappings, and split indexes for training and evaluation pipelines.

🚀 Usage with Python datasets

Hugging Face automatically extracts and parses images.zip when loading through the datasets library:

from datasets import load_dataset

# Load the dataset directly
dataset = load_dataset("AIIRLab/MATVB")

# Access a sample
example = dataset["train"][0]
image = example["image"]
caption = example.get("caption", "")