yyyyifan/VLQA
Introduction This dataset is used to evaluate how Large Vision-Language Models (LVLMs) perform the visual question-answering tasks: understanding the input image or halluciating with the knowledge in the language module. We provide a testmini set that includes all types of evaluations. More details can be found below. testmini: a subset of all types of evaluation. Entity_KF_NR: a QA dataset to evaluate the model's recognition ability of entities under the knowledge-free… See the full description on the dataset page: https://huggingface.co/datasets/yyyyifan/VLQA.
| Author / organization | yyyyifan |
|---|---|
| License (as declared) | mit |
| Downloads | 149 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 16 January 2025 |
| Last updated at source | 25 January 2025 |
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- 17 Oct 2026 Description: Introduction This dataset is used to evaluate how Large Vision-Language Models (LVLMs) perform the visual question-answering tasks: understanding the input image or halluciating with the knowledge in the language module. We provide a testmi → Introduction This dataset is used to evaluate how Large Vision-Language Models (LVLMs) perform the visual question-answering tasks: understanding the input image or halluciating with the knowledge in the language module. We provide a testmi
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