LAMBDA / README.md
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metadata
dataset_info:
  features:
    - name: video_id
      dtype: int64
    - name: recall_score
      dtype: float64
    - name: youtube_id
      dtype: string
    - name: ad_details
      struct:
        - name: Audio
          dtype: string
        - name: Brand
          dtype: string
        - name: Duration
          dtype: string
        - name: Orientation
          dtype: string
        - name: Pace
          dtype: string
        - name: Scenes
          list:
            - name: Colors
              dtype: string
            - name: Description
              dtype: string
            - name: Emotions
              dtype: string
            - name: Number
              dtype: string
            - name: Photography Style
              dtype: string
            - name: Tags
              dtype: string
            - name: Text Shown
              dtype: string
            - name: Tone
              dtype: string
            - name: Visual Complexity
              dtype: string
        - name: Title
          dtype: string
  splits:
    - name: train
      num_bytes: 5490622.457169034
      num_examples: 1964
    - name: test
      num_bytes: 612243.5428309665
      num_examples: 219
  download_size: 2551503
  dataset_size: 6102866
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
tags:
  - memorability
  - long-term-memorability
  - video-memorability
  - lcbm
  - behavioral-sciences
  - Computational Marketing
pretty_name: Long-Term Ad Memorability Dataset (LAMBDA)
size_categories:
  - 1K<n<10K