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---
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")
```