|
--- |
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dataset_info: |
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features: |
|
- name: video_id |
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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: 6102866.0 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
--- |
|
|
|
|
|
## Dataset Description |
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|
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- **Website:** https://behavior-in-the-wild.github.io/memorability.html |
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- **Paper:** https://arxiv.org/pdf/2309.00378 |
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|
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### Dataset Summary |
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LAMDBA is a long term ad memorability dataset, featuring data from 1749 participants and 2205 ads across 276 brands. |
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|
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## Dataset Structure |
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|
|
```python |
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from datasets import load_dataset |
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ds = load_dataset("behavior-in-the-wild/LAMBDA") |
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ds |
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|
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DatasetDict({ |
|
train: Dataset({ |
|
features: ['video_id', 'recall_score', 'youtube_id', 'ad_details'], |
|
num_rows: 1964 |
|
}) |
|
test: Dataset({ |
|
features: ['video_id', 'recall_score', 'youtube_id', 'ad_details'], |
|
num_rows: 219 |
|
}) |
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}) |
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``` |
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|
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### Data Fields |
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|
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- `video_id`: identifier for the data sample |
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- `recall_score`: memorability score for the video between 0 to 1 |
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- `youtube_id`: youtube id for the video |
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- `ad_details`: scene by scene features for each video |
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|