| --- |
| 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](https://github.com/StanLei52/GEBD), licensed under |
| CC BY-NC 4.0. Cite: |
|
|
| ```bibtex |
| @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} |
| } |
| ``` |
|
|
