HiTZ/MATE
Dataset Card for HiTZ/MATE This dataset provides a benchmark consisting of 5,500 question-answering examples to assess the cross-modal entity linking capabilities of vision-language models (VLMs). The ability to link entities in different modalities is measured in a question-answering setting, where each scene is represented in both the visual modality (image) and the textual one (a list of objects and their attributes in JSON format). The dataset is provided in two… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/MATE.
| Author / organization | HiTZ |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 173 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 May 2025 |
| Last updated at source | 29 May 2025 |
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173 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for HiTZ/MATE This dataset provides a benchmark consisting of 5,500 question-answering examples to assess the cross-modal entity linking capabilities of vision-language models (VLMs). The ability to link entities in different m → Dataset Card for HiTZ/MATE This dataset provides a benchmark consisting of 5,500 question-answering examples to assess the cross-modal entity linking capabilities of vision-language models (VLMs). The ability to link entities in different m
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