license: cc-by-nc-4.0
task_categories:
- video-classification
- feature-extraction
language:
- en
tags:
- video
- streaming
- event-boundary-detection
- kinetics-gebd
size_categories:
- n<1K
dataset_info:
- config_name: default
features:
- name: video_id
dtype: string
- name: split
dtype: string
- name: source_split
dtype: string
- name: source_dataset
dtype: string
- name: category
dtype: string
- name: youtube_url
dtype: string
- name: clip_reference
dtype: string
- name: clip_start_seconds
dtype: int64
- name: clip_end_seconds
dtype: int64
- name: fps
dtype: float64
- name: duration_seconds
dtype: float64
- name: num_frames
dtype: int64
- name: annotator_count
dtype: int64
- name: selected_annotator_index
dtype: int64
- name: selected_annotator_consistency
dtype: float64
- name: mean_annotator_consistency
dtype: float64
- name: boundaries
list:
- name: start_seconds
dtype: float64
- name: end_seconds
dtype: float64
- name: boundary_kind
dtype: string
- name: change_type
dtype: string
- name: annotation_license
dtype: string
splits:
- name: train
num_examples: 6
- name: validation
num_examples: 2
- name: test
num_examples: 2
Streaming GEBD Causal Preview
Ten metadata-only examples derived from the official Kinetics-GEBD raw annotations. This preview validates the schema intended for causal streaming event-boundary training before publishing a full processed release.
Splits
train: 6 examples from the original Kinetics-GEBD training annotations.validation: 2 examples from the original validation annotations.test: 2 held-out examples from the original validation annotations.
The selected annotation for each clip is the annotation from the annotator with the highest consistency score. The complete release may replace this preview policy with consensus boundary aggregation.
Video access
This repository does not redistribute Kinetics YouTube videos. Each row contains the YouTube ID, source URL, and the original Kinetics clip start/end seconds. Availability and usage rights of each source video remain subject to YouTube and the original uploader.
Causal use
At time t, a streaming model must receive only frames with timestamps less
than or equal to t. It must not use frames after the candidate boundary.
boundary_kind separates:
semantic_event: actor, object, action, or other semantic state change.visual_change: cut, pan, zoom, fade, or speed transition.
Sources and license
Annotations are derived from StanLei52/GEBD, licensed under CC BY-NC 4.0. Cite:
@inproceedings{shou2021gebd,
title={Generic Event Boundary Detection: A Benchmark for Event Segmentation},
author={Shou, Mike Zheng and Lei, Stan Weixian and Wang, Weiyao and Ghadiyaram, Deepti and Feiszli, Matt},
booktitle={ICCV},
year={2021}
}