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MBZUAI/VideoInstruct-100K

VideoInstruct100K is a high‑quality video‑dialogue dataset created through human‑in‑the‑loop and semi‑automatic annotation techniques. The Q&A content covers video summarization, description‑based question answering (exploring spatial, temporal, relational, and reasoning concepts), and creative/generative question answering.

Updated 9/29/2023
hugging_face

Description

VideoInstruct100K Dataset Overview

Dataset Description

VideoInstruct100K is a high‑quality video‑dialogue dataset generated using human‑in‑the‑loop and semi‑automatic annotation techniques. The Q&A content includes the following aspects:

  • Video summarization
  • Description‑based question answering (exploring spatial, temporal, relational, and reasoning concepts)
  • Creative/generative question answering

Citation Information

If you find this dataset useful, please consider citing the following paper:

@article{Maaz2023VideoChatGPT,
    title={Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models},
    author={Muhammad Maaz, Hanoona Rasheed, Salman Khan and Fahad Khan},
    journal={ArXiv 2306.05424},
    year={2023}
}

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Topics

Video Understanding
Language Models

Source

Organization: hugging_face

Created: Unknown

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