Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
An evolutionary multi-start algorithm for the Steiner Tree Problem in graphs with a fast local search. This project is the implementation of the algorithm introduced in the paper A Robust and Scalable Algorithm for the Steiner…
The WikiQA corpus is a new publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. In order to reflect the true information need of general users, we…
The FingerPaint Dataset contains video-sequences of several individuals performing hand gestures, as captured by a depth camera. The ground truth locations of the fingertips are included as an annotation for each frame of the video.…
The MSR Ironclad project builds provably secure and reliable systems.
Ironclad App lets a user securely transmit her data to a remote machine with the guarantee that every instruction executed on that machine adheres to a formal abstract specification of the app’s behavior.
This download primarily contains a list of URLs with paired natural language descriptions and code, as well as a separate of those URLs into training, development, and test data. In addition, code is included to…
This is the source code for the Core Tabular command-line compiler, tc.exe.
Interactive Data Display for JavaScript (IDD for short) is a set of controls for adding interactive visualization of dynamic data to your application. It allows to create line graphs, bubble charts, heat maps and other…
Datasets and Python evaluation code used in the paper: S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking, ACL 2015. Part of the data is based on the Making Sense of Microposts 2014…
