README.md

metadata

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:

from datasets import load_dataset

dataset = load_dataset("your-org/video-dataset-consensus-01")