Dataset · Hugging Face

Crysun/DailyClue

Name: DailyClue
Creator: Crysun
License: mit
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, language:en, license:mit, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2604.14041, region:us, benchmark, multimodal, reasoning, visual-grounding

DailyClue Dataset Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios Dataset Summary DailyClue is a benchmark for evaluating visual clue-driven reasoning in Multimodal Large Language Models (MLLMs). Unlike benchmarks that test pre-existing knowledge, DailyClue requires models to actively identify decisive visual clues from images before producing answers. The dataset spans 4 major domains and 16 distinct subtasks, with 666 total… See the full description on the dataset page: https://huggingface.co/datasets/Crysun/DailyClue.

View on Hugging FaceReport an issue

Author / organization	Crysun
License (as declared)	mit
Downloads	16.4K (as reported by Hugging Face)
Likes	1
Created	5 May 2026
Last updated at source	6 May 2026

benchmarkmultimodalreasoningvisual-groundingmllm-evaluation

Embed this entry

<iframe src="https://silytics.si/embed/item/9d1079f8-b639-4a19-b560-e0655a357ee1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.