llm-jp/JAMMEval
JAMMEval: A Refined Collection of Japanese Benchmarks for Reliable VLM Evaluation | π€ HuggingFace | π Paper | π§βπ» Code | Overview JAMMEval is a curated benchmark collection for evaluating Vision-Language Models (VLMs) on Japanese Visual Question Answering (VQA) tasks. It is constructed by refining seven existing Japanese VQA evaluation datasets through two rounds of human annotation, with the goal of improving evaluation reliabilityβ¦ See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/JAMMEval.
| Author / organization | llm-jp |
|---|---|
| Downloads | 608 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 28 March 2026 |
| Last updated at source | 8 April 2026 |
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- 17 Oct 2026 Description: JAMMEval: A Refined Collection of Japanese Benchmarks for Reliable VLM Evaluation | π€ HuggingFace | π Paper | π§βπ» Code | Overview JAMMEval is a curated benchmark collection for evaluating Vision-Language Models (VLMs) on Japanese Visual β JAMMEval: A Refined Collection of Japanese Benchmarks for Reliable VLM Evaluation | π€ HuggingFace | π Paper | π§βπ» Code | Overview JAMMEval is a curated benchmark collection for evaluating Vision-Language Models (VLMs)
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