| ---
|
| 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-task01-video
|
|
|
| ## 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-task01-video")
|
| ```
|
| |
