ImageCLEF 2026 Multimodal Reasoning
Collection
Data for the ImageCLEF 2026 Multimodal reasoning competition • 4 items • Updated
license: cc-by-nc-4.0 language: - en - bg - zh - hr - it - sr
ImageCLEF 2026 Multimodal reasoning Open-Ended QA Dataset - Visual questions
Introduction
The training data in this dataset are re-purposed from the MBZUAI-IFM/EXAMS-V dataset. Specifically, the original Multiple-Choice Questions (MCQs) have been converted into Open-Ended QA tasks to challenge models with free-form answer generation.
In order to participate, please register on the evaluation platform: AI4Media-Bench OpenQA Visual
Dataset Distribution
Language Distribution
The dataset is distributed across several languages as follows:
| Language | Train | Dev | Test | Total |
|---|---|---|---|---|
| Bulgarian | 84 | 50 | 75 | 209 |
| Chinese | 139 | 50 | 75 | 264 |
| Croatian | 96 | 50 | 75 | 221 |
| English | 66 | 50 | 75 | 191 |
| Italian | 87 | 20 | 74 | 181 |
| Serbian | 56 | 20 | 65 | 141 |
| Total | 528 | 240 | 439 | 1207 |
Graphical Distribution
The image-based portion of the dataset (openqa-image) contains various graphical elements:
| Graphical Feature | Train | Dev | Test | Total | Percentage (Overall) |
|---|---|---|---|---|---|
| Diagrams | 241 | 149 | 235 | 625 | 51.78% |
| Graphs | 107 | 44 | 98 | 249 | 20.63% |
| Tables | 92 | 35 | 71 | 198 | 16.40% |
| Other Figures | 88 | 35 | 96 | 219 | 18.14% |
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