Dataset · Hugging Face

GD-ML/Taming-Hallucinations

Name: Taming-Hallucinations
Creator: GD-ML
License: apache-2.0
Keywords: task_categories:video-text-to-text, task_categories:visual-question-answering, language:en, license:apache-2.0, size_categories:1K<n<10K, format:csv, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2512.24271, region:us, video

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation CVPR 2026 Findings Project Page | Paper | Code Dataset Summary This repository hosts DualityVidQA, the large-scale paired video–QA dataset introduced in Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation. Taming Hallucinations introduces DualityForge, a controllable diffusion-based framework that turns real videos into… See the full description on the dataset page: https://huggingface.co/datasets/GD-ML/Taming-Hallucinations.

View on Hugging FaceReport an issue

Author / organization	GD-ML
License (as declared)	apache-2.0
Downloads	449 (as reported by Hugging Face)
Likes	0
Created	10 April 2026
Last updated at source	3 June 2026

videomultimodalmllmhallucinationcounterfactualvideo-understanding

Embed this entry

<iframe src="https://silytics.si/embed/item/de2f8cbe-7829-48f0-bf1a-2e73e25fd3e8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from GD-ML

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 Information may be incomplete or out of date.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.