Datasets:

Quazitron420
/

video-dataset-pre1_test

license: mit
task_categories:
  - image-classification
  - other
task_ids:
  - image-classification-other
language:
  - en
size_categories:
  - n<1K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: annotation
      dtype: string
    - name: transcription
      dtype: string
    - name: video_segment
      dtype: string
  splits:
    - name: train
      num_bytes: 0
      num_examples: 42

Video Dataset - pre1_test

Dataset Description

This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.

Dataset Structure

frames/ — extracted frames grouped by role (start, middle, end)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv — mapping between frames, annotations, video clips, and segment transcription

Dataset Statistics

Frames: 42
Segments: 14
Unique Labels: 7

Dataset Features

image: Extracted video frame (JPEG)
annotation: Label/annotation for the frame segment
transcription: Text transcription of the audio segment
video_segment: Path to the corresponding video clip file

Usage

This dataset can be loaded using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("your-org/video-dataset-pre1_test")