ImageCLEF 2026 Multimodal Reasoning
Collection
Data for the ImageCLEF 2026 Multimodal reasoning competition • 4 items • Updated
ImageCLEF 2026 Multimodal reasoning Open-Ended QA Dataset - Textual 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 Textual
Dataset Distribution
Language Distribution
The dataset covers 6 diverse languages, distributed across splits as follows:
| Language | Train | Dev | Test | Total |
|---|---|---|---|---|
| Bulgarian | 50 | 75 | 75 | 200 |
| Chinese | 50 | 50 | 49 | 149 |
| Croatian | 50 | 75 | 75 | 200 |
| English | 50 | 75 | 75 | 200 |
| Italian | 50 | 25 | 75 | 150 |
| Serbian | 50 | 25 | 75 | 150 |
| Total | 300 | 325 | 424 | 1049 |
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