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ZamAI-Pashto/zamai-pashto-video

ZamAI Pashto Video ZamAI Pashto Video is a video understanding dataset scaffold for multilingual Afghan media research, with support for scene segmentation, subtitle alignment, and temporal event annotation. Dataset Summary The repository is structured for raw and segmented video assets, subtitle generation, action labels, and media metadata needed for temporal analysis workflows. Languages Pashto Dari English Modalities Video… See the full description on the dataset page: https://huggingface.co/datasets/ZamAI-Pashto/zamai-pashto-video.

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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Dataset Card

ZamAI Pashto Video

ZamAI Pashto Video is a video understanding dataset scaffold for multilingual Afghan media research, with support for scene segmentation, subtitle alignment, and temporal event annotation.

Dataset Summary

The repository is structured for raw and segmented video assets, subtitle generation, action labels, and media metadata needed for temporal analysis workflows.

Languages

—Pashto
—Dari
—English

Modalities

—Video
—Audio
—Text

Project Structure

—videos/raw/: Source video files.
—videos/segmented/: Scene-level or clip-level segments.
—videos/subtitles/: Subtitle files for supported languages.
—annotations/: Action labels, scene segments, and temporal events.
—metadata/: FPS, resolution, and domain metadata.
—scripts/: Frame extraction, scene segmentation, and subtitle generation.
—configs/: Dataset configuration.
—viewer/train.csv: Small sample table used by the Hugging Face dataset viewer.

Planned Fields

—video_id
—segment_id
—action_label
—subtitle_language
—fps
—resolution

Intended Use

This repository supports multimodal video understanding, subtitle alignment, temporal event extraction, and scene-level Pashto media analysis.

Limitations

The current repository uses sample viewer rows for schema preview rather than full media assets. Video paths and subtitles in viewer/train.csv are representative examples intended to make the dataset viewer immediately useful.

License

This dataset repository is distributed under the Apache 2.0 license.