SakanaAI/JA-Multi-Image-VQA
JA-Multi-Image-VQA Dataset Description JA-Multi-Image-VQA is a dataset for evaluating the question answering capabilities on multiple image inputs. We carefully collected a diverse set of 39 images with 55 questions in total. Some images contain Japanese culture and objects in Japan. The Japanese questions and answers were created manually. Usage from datasets import load_dataset dataset = load_dataset("SakanaAI/JA-Multi-Image-VQA", split="test")… See the full description on the dataset page: https://huggingface.co/datasets/SakanaAI/JA-Multi-Image-VQA.
| Author / organization | SakanaAI |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 303 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 26 July 2024 |
| Last updated at source | 1 August 2024 |
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303 now (-8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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