Sign inGet started
Dataset · Hugging Face

fesvhtr/FunQA

Dataset for the paper: FunQA: Towards Surprising Video Comprehension Paper: https://huggingface.co/papers/2306.14899. Github: https://github.com/Nicous20/FunQA. Supports using LMMs-Eval for evaluation. This dataset is also included in the OpenGVLab/MVBench benchmark. Update: The dataset format has been changed to Parquet; the old version (JSON) can be found in the “raw” folder. Load from Hugging Face Hub from datasets import load_dataset train_ds =… See the full description on the dataset page: https://huggingface.co/datasets/fesvhtr/FunQA.

Author / organizationfesvhtr
License (as declared)cc-by-nc-sa-4.0
Downloads1.3K (as reported by Hugging Face)
Likes0
Created8 July 2024
Last updated at source13 April 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/2a328e7c-1e8a-4dbd-8a16-76342e453492" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from fesvhtr

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.