---
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:

```python
from datasets import load_dataset

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