Introduction to the Solve4X Dataset

What is the Solve4X dataset?#

The Business Processes in IT Asset Management Multimedia Event Log (Solve4X) dataset is a multimedia dataset for object-centric business process mining in IT asset management (ITAM). It contains 121 instances of IT asset management processes and their ground-truth annotations in 36 scripted video scenes. Each scene includes video recording from two angles, an process event log from an IT asset management system, human movement tracking data (including pose, location in the room, walking speed and handling height), task mining log from the web browser and various additional sensor data (e.g. door and shelf openings, distance sensor). We provide ground truth annotations for business process activity segments captured in the video data including segment time and length, involved humans, IT assets, location and the corresponding business process instance type and ID.

The dataset is organized at a scene-by-scene level. In the Dataset section, each scene is described in detail.

Characteristics#

Use and Download the Solve4X dataset#

The dataset is available online at figshare

If you use the dataset please cite:

@misc{Solve4X.2024,
 author = {Fehrer, Tobias and Egger, Andreas and Chvirova, Diana and Wittmann, Jakob and W{\"o}rdehoff, Niklas and Kratsch, Wolfgang and R{\"o}glinger, Maximilian},
 year = {2024},
 title = {{Business Processes in IT Asset Management Multimedia Event Log}},
 publisher = {figshare},
 doi = {10.6084/m9.figshare.25246291}
}

We have also documented the dataset. A Preprint is available at SSRN. Feel free to cite it as follows:

@unpublished{Solve4XDataPaper.2024,
	author = {Chvirova, Diana and Egger, Andreas and Fehrer, Tobias and Kratsch, Wolfgang and R{\"o}glinger, Maximilian and Wittmann, Jakob and W{\" o}rdehoff, Niklas},
	doi = {10.2139/ssrn.4811188},
	date = {2024},
	publisher = {Elsevier BV},
	howpublished = {Elsevier BV},
	title = {A {Multimedia} {Dataset} for {Object}-{Centric} {Business} {Process} {Mining} in it {Asset} {Management}},
	url = {http://dx.doi.org/10.2139/ssrn.4811188},
}

License#

The dataset and labelings provided on this page are published under the Creative Commons Attribution-NonCommercial 4.0 International License. This means you can use it for research and educational purposes but you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes, for commercial licensing please contact us

The code is provided under the MIT license.

About#

Solve4X was recorded at Fraunhofer FIT. Read more about us

Funding#

This work was thankfully supported by the Bavarian Research Foundation and its support for the research project Anything-to-Log.