Dataset · Hugging Face

ziyul707/InsightVQA

Name: InsightVQA
Creator: ziyul707
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:image-classification, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, emotion-recognition, multimodal, multi-level-reasoning

InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark Overview InsightVQA is a large-scale dataset designed for hierarchical visual question answering that bridges emotion understanding and cognitive reasoning. While existing benchmarks predominantly focus on surface-level emotion recognition , InsightVQA introduces a structured paradigm to evaluate a model's ability to interpret emotional causes, ground evidence, and reason about… See the full description on the dataset page: https://huggingface.co/datasets/ziyul707/InsightVQA.

View on Hugging FaceReport an issue

Author / organization	ziyul707
License (as declared)	cc-by-4.0
Downloads	277 (as reported by Hugging Face)
Likes	2
Created	1 April 2026
Last updated at source	6 April 2026

emotion-recognitionmultimodalmulti-level-reasoning

Embed this entry

<iframe src="https://silytics.si/embed/item/98948894-928f-4056-9d91-4c6d51c0cb84" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

277 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.