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.
SharpSATbench is a CLI managed-code benchmark based on a clause-based satisfiability solver where the logic formula is written in Conjunctive Normal Form. SharpSATbench is compute-intensive, requiring a moderate-sized heap. There are 10,900 lines of code…
The Microsoft Research Cambridge Object Recognition Image Database contains a set of images (digital photographs) grouped into categories. Its intended use is research, in particular object recognition research. Last published: May 18, 2005.
The MSR NLP Empty Category Rules package includes a single source file containing G-language functions for computing empty categories on previously deserialized syntax trees formerly represented in the Penn Treebank text format. These rules are…
This download consists of data only: a text file containing 5800 pairs of sentences which have been extracted from news sources on the web, along with human annotations indicating whether each pair captures a paraphrase/semantic…
Software Transactional Memory (STM) is an API for multithreaded computation in which shared data is synchronized without using locks. Threads synchronize by means of memory transactions, short-lived computations that either commit (take effect) or abort…
This archive consists of a set of pitch period and voicing estimates for utterances found in the Aurora 2 corpus[1] using the algorithm described in [2]. Currently, pitch estimates are available for test sets A…
This code is a companion to the paper “Sequential File Programming Patterns and Performance with .NET” by Peter Kukol and Jim Gray, MSR-TR-2004-136. It contains 4 projects. (1) IOexamples shows the simple design patterns for…
Comega is an experimental language which extends C# with new constructs for relational and semi-structured data access and asynchronous concurrency. Last published: October 28, 2004.
lcscbench is based on the front end of a compiler for C# written in C# and uses a generalized LR (GLR) parsing algorithm. Last published: July 20, 2004.
The Mesh Connectivity Layer (MCL) driver with Link-Quality Source Routing (LQSR). LQSR is a routing protocol for ad-hoc networks. MCL implements a virtual network adapter, so that to the rest of the system the ad-hoc…
