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README.md
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---
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license: mit
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task_categories:
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- image-classification
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- other
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language:
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- en
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size_categories:
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- n<1K
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: video_segment
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dtype: string
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- name: transcription
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dtype: string
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- name: subject
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dtype: string
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- name: category
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dtype: string
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- name: subcategory
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dtype: string
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- name: action_description
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dtype: string
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- name: context_and_comments
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dtype: string
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splits:
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- name: train
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num_bytes: 0
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num_examples: 54
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---
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# Video Dataset - consensus-01
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## Dataset Description
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This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
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## Dataset Structure
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- `frames/` — extracted frames (first frame from each segment)
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- `segments/` — video clips for each annotation interval
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- `annotations/` — original JSON annotation
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- `transcriptions/` — transcription files (`full_transcription.txt` + per segment)
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- `dataset.csv` — mapping between frames, video clips, transcriptions, and metadata (subject, category, subcategory, action_description, context_and_comments)
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## Dataset Statistics
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- **Frames:** 54
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- **Segments:** 18
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- **Unique Labels:** 1
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## Dataset Features
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- **image**: Extracted video frame (JPEG) - first frame from each segment
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- **video_segment**: Path to the corresponding video clip file
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- **transcription**: Text transcription of the audio segment
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- **subject**: Subject of the action (e.g., "Учитель", "Группа учеников")
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- **category**: Category of the action (e.g., "Педагогические действия", "Коммуникативные модальности")
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- **subcategory**: Subcategory (may contain multiple values separated by ";")
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- **action_description**: Description of the action
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- **context_and_comments**: Context and additional comments
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## Usage
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This dataset can be loaded using the Hugging Face `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("your-org/video-dataset-consensus-01")
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```
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