README.md

---
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
---