behavior-in-the-wild/LAMBDA

Dataset Description

• —Website: https://behavior-in-the-wild.github.io/memorability
• —Paper: https://arxiv.org/abs/2309.00378

Dataset Summary

LAMDBA is a long term ad memorability dataset, featuring data from 1749 participants and 2205 ads across 276 brands.

Dataset Structure

from datasets import load_dataset
ds = load_dataset("behavior-in-the-wild/LAMBDA")
ds

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
    })
})

Data Fields

• —video_id: identifier for the data sample
• —recall_score: memorability score for the video between 0 to 1
• —youtube_id: youtube id for the video
• —ad_details: scene by scene features for each video

Citation

@misc{s2024longtermadmemorabilityunderstanding, title={Long-Term Ad Memorability: Understanding and Generating Memorable Ads}, author={Harini S I au2 and Somesh Singh and Yaman K Singla and Aanisha Bhattacharyya and Veeky Baths and Changyou Chen and Rajiv Ratn Shah and Balaji Krishnamurthy}, year={2024}, eprint={2309.00378}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2309.00378}}