Hugging Face's logo

Datasets:
SpatialVID
/
SpatialVID-RAW

Tasks:
Text-to-Video
Text-to-3D
Image-to-3D
Languages:
English
ArXiv:
License:
Dataset card Data Studio Files
xet
Community

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Thank you for your interest in our project. Please fill out this form to request access to the YouTube IDs and timestamps from our dataset. After reviewing your application, we will grant you access to this dataset.

Log in or Sign Up to review the conditions and access this dataset content.

SpatialVID: A Large-Scale Video Dataset with Spatial Annotations

1Nanjing University  2Institute of Automation, Chinese Academy of Science 

       

SpatialVID-RAW

Thank you for your interest in our work. We have received numerous requests from the research community for access to the raw data. To support further research, we are providing the YouTube video IDs and their corresponding timestamps used in our dataset.

Due to potential copyright considerations, this metadata is available through a gated dataset on Hugging Face rather than being fully public. To gain access, you will be required to submit a request. This process helps ensure the responsible and appropriate use of the dataset. We appreciate your understanding and cooperation.

By downloading and using this dataset, you agree to comply with the terms of the LICENSE AGREEMENT.

Dataset Description

Note that group id 0 means the clip is filtered out in our previous processing. So these clips are not included in the SpatialVID-HQ or SpatialVID dataset.

The provided metadata is categorized as follows:

  • Short Clips: This set contains timestamps for video segments that are between 3 and 15 seconds long. A portion of these short clips, determined by their "group id," were used for the annotations reported in our paper. Clips with a "group id" of 0 were filtered out in our previous processing steps.

    Field Name Description
    id Unique identifier for each video clip (matches the annotation folder name).
    group id Identifier of the group the video clip belongs to (e.g., group_0001).
    YouTube id Unique identifier for the YouTube video (e.g., dQw4w9WgXcQ).
    timestamp_start Start time of the video segment (in microseconds).
    timestamp_end End time of the video segment (in microseconds).
    fps Frames per second (FPS) of the video clip.
    aesthetic score Subjective score evaluating the video’s visual aesthetics (0–10).
    luminance score Score measuring the video’s overall brightness.
    motion score Score quantifying the intensity of motion in the video (0–20).

  • Long Clips: To accommodate research that requires extended video context, we also provide timestamps without the 15-second length constraint. Please note that these longer versions do not have separate annotations. However, you can either use our provided annotation process to create your own or utilize the caption information from the corresponding short clips.

    Field Name Description
    YouTube id Unique identifier for the YouTube video (e.g., dQw4w9WgXcQ).
    timestamp_start Start time of the video segment (in microseconds).
    timestamp_end End time of the video segment (in microseconds).
    fps Frames per second (FPS) of the video clip.
    duration Duration of the video segment (in microseconds).

Download Tool

To facilitate the download of video clips based on the provided metadata, we have developed a Python script that allows you to easily download the specified video segments. Please refer to the download_YouTube.py in our GitHub repo.

Downloads last month
12