---
license: mit
task_categories:
- image-classification
- other
language:
- en
size_categories:
- n<1K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: video_segment
      dtype: string
    - name: transcription
      dtype: string
    - name: subject
      dtype: string
    - name: category
      dtype: string
    - name: subcategory
      dtype: string
    - name: action_description
      dtype: string
    - name: context_and_comments
      dtype: string
  splits:
    - name: train
      num_bytes: 0
      num_examples: 54
---

# Video Dataset - consensus-01

## 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 (first frame from each segment)
- `segments/` — video clips for each annotation interval
- `annotations/` — original JSON annotation
- `transcriptions/` — transcription files (`full_transcription.txt` + per segment)
- `dataset.csv` — mapping between frames, video clips, transcriptions, and metadata (subject, category, subcategory, action_description, context_and_comments)

## Dataset Statistics

- **Frames:** 54
- **Segments:** 18
- **Unique Labels:** 1

## Dataset Features

- **image**: Extracted video frame (JPEG) - first frame from each segment
- **video_segment**: Path to the corresponding video clip file
- **transcription**: Text transcription of the audio segment
- **subject**: Subject of the action (e.g., "Учитель", "Группа учеников")
- **category**: Category of the action (e.g., "Педагогические действия", "Коммуникативные модальности")
- **subcategory**: Subcategory (may contain multiple values separated by ";")
- **action_description**: Description of the action
- **context_and_comments**: Context and additional comments

## 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-consensus-01")
```