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Behance Community Art Data

Behance Community Art Data

Stefan
Open Dataset
Creators: He, Ruining; Fang, Chen; Wang, Zhaowen; McAuley, Julian
Publication Date: 2016
Creators: He, Ruining; Fang, Chen; Wang, Zhaowen; McAuley, Julian

Being a small, anonymized, version of a larger proprietary dataset, this dataset covers likes and image data from the community art website Behance. It provides valuable insights into user engagement with digital art, making it a significant resource for research in recommender systems, social network analysis, and the study of artistic preferences. Also, the dataset captures user interactions in the form of “appreciations” (akin to likes) on various art items. Each appreciation reflects a user’s positive acknowledgment of an artwork, offering a measurable indicator of engagement. Additionally, the dataset includes image features extracted from the artworks, facilitating analyses that combine user behavior with visual content characteristics.

In total, the dataset is about 3.5 GB large and encompasses:

  • Users: 63,497
  • Items: 178,788
  • Appreciates (“likes”): 1,000,000

The dataset is structured to include:​

  • User Data: Anonymized identifiers representing individual users.​

  • Item Data: Identifiers for each artwork, accompanied by associated image features.​

  • Appreciation Data: Records of user-item interactions, indicating which user appreciated which artwork.

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