Behavioral and Identity-Related Dataset (BIRD) is a museum dataset for indoor environment analysis in the context of cultural heritage. It was collected in 2019 at the Nancy Museum of Fine Arts and contain currently 51 visitors.
This dataset can be employed for multiple objectives: trajectory prediction, behavior analysis, recommendation, natural language processing, crowd simulation...
For more detailed information about BIRD, please refer to the following paper: Alexanne Worm, Florian Marchal, and Sylvain Castagnos. 2025. BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors’ Experience. In . ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
For more detailed information about BIRD, please refer to the following paper: Alexanne Worm, Florian Marchal, and Sylvain Castagnos. 2025. BIRD: A
Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors’ Experience. In Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct’25), June 16–19, 2025, New York City, NY, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3708319.3733686
## Installation
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This research was supported by the non-economic valuation project called MBANv2. It was the subject of an agreement signed by the University of Lorraine, the Urban Community of Greater Nancy and the Nancy Museum of Fine Arts. We would like to thank Sophie Mouton, Sophie Toulouze, Charles Villeneuve de Janti, Michèle Leinen, and Jean-Paul Darada for providing information on the artworks and for authorizing this study to be conducted within the museum.
## License
This dataset is under the CC BY-NC-SA 4.0 license (for more information, please refer to the official website: https://creativecommons.org/licenses/by-nc-sa/4.0/). If you find this dataset useful for your research, then please cite: Alexanne Worm, Florian Marchal, and Sylvain Castagnos. 2025. BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors’ Experience. In . ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
This dataset is under the CC BY-NC-SA 4.0 license (for more information, please refer to the official website: https://creativecommons.org/licenses/by-nc-sa/4.0/). If you find this dataset useful for your research, then please cite: Alexanne Worm, Florian Marchal, and Sylvain Castagnos. 2025. BIRD: A
Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors’ Experience. In Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct’25), June 16–19, 2025, New York City, NY, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3708319.3733686
## Project status
This dataset is currently under extension. More trajectories and specific information will soon be added to the repository. 51 trajectories are officially available.
