Dataset · Hugging Face

AlpachinoNLP/QTSplus-Dataset

Name: QTSplus-Dataset
Creator: AlpachinoNLP
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:question-answering, task_categories:video-text-to-text, language:en, license:apache-2.0, size_categories:100K<n<1M, arxiv:2511.11910, region:us, video-understanding, multimodal, long-video, Qwen, distillation, multiple-choice

QTSplus-Dataset QTSplus-Dataset is a comprehensive dataset for video understanding that provides training signals for long-video multimodal language models. This dataset focuses on visual question answering with both multiple-choice (VSCQ) and free-form (VQA) formats. The scripts used to generate this dataset are available in the official QTSplus-Dataset GitHub Repository. Project Overview About QTSplus-Dataset QTSplus-Dataset is designed to… See the full description on the dataset page: https://huggingface.co/datasets/AlpachinoNLP/QTSplus-Dataset.

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Author / organization	AlpachinoNLP
License (as declared)	apache-2.0
Downloads	968 (as reported by Hugging Face)
Likes	1
Created	24 November 2025
Last updated at source	28 November 2025

video-understandingmultimodallong-videoQwendistillationmultiple-choice

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16 Oct 2026 Description: QTSplus-Dataset QTSplus-Dataset is a comprehensive dataset for video understanding that provides training signals for long-video multimodal language models. This dataset focuses on visual question answering with both multiple-choice (VSCQ) → QTSplus-Dataset QTSplus-Dataset is a comprehensive dataset for video understanding that provides training signals for long-video multimodal language models. This dataset focuses on visual question answering with both multiple-choice (VSCQ)

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