Omkar2118/datasets huggingface dataset:
Xamarin Q&A

**Xamarin Q&A** consists of two datasets of questions and answers for studying the development of cross-platform mobile applications using the Xamarin framework. The two datasets were created by mining two Q&A sites: Xamarin Forum and Stack Overflow. The datasets have 85,908 questions mined from the Xamarin Forum and 44,434 from Stack Overflow.

Introducing paper: Two Datasets of Questions and Answers for Studying the Development of Cross-platform Mobile Applications using Xamarin Framework
3DSSG

3DSSG provides 3D semantic scene graphs for 3RScan. A semantic scene graph is defined by a set of tuples between nodes and edges where nodes represent specific 3D object instances in a 3D scan. Nodes are defined by its semantics, a hierarchy of classes as well as a set of attributes that describe the visual and physical appearance of the object instance and their affordances. The edges in our graphs are the semantic relationships (predicates) between the nodes such as `standing on, hanging on, more comfortable than` or `same material`.

Introducing paper: Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
ToolNet

The dataset is organized as follows. We have 8 different goals and 10 different world instances for both the domains, home and factory. Each domain has 8 directories corresponding to the goals possible for the domain. These goals itself, contain directories for the 10 different world instances. Each goal for each world instance in a particular domain thus has a number of different human demonstrations, and these are saved in the form of a .datapoint file for each plan.

Introducing paper: ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
Semantic Trails

Semantic Trails Datasets (STDs) are two different datasets of semantically annotated trails created starting from check-ins performed on the Foursquare social network.

Introducing paper: Semantic Trails of City Explorations: How Do We Live a City
360 EM

Data set of 360-degree equirectangular videos, gaze recordings, eye movement (EM) ground-truth and an automatic EM classification algorithm.

Introducing paper: A Ground-Truth Data Set and a Classification Algorithm for Eye Movements in 360-degree Videos
Innovation and Revenue

This is a dataset that catalogs 2.6 million patents granted between 2005 and 2017.

Introducing paper: Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies
Pull Request Descriptions

This is a dataset of over 333K Pull Requests, used for automatic pull request description generation.

Introducing paper: Automatic Generation of Pull Request Descriptions
Reddit Norm Violations

This is a dataset of over 40K Reddit comments removed by moderators according to the specific type of macro norm being violated.

Introducing paper: Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit
Rediscovery Datasets

We present three defect rediscovery datasets mined from Bugzilla. The datasets capture data for three groups of open source software projects: Apache, Eclipse, and KDE. The datasets contain information about approximately 914 thousands of defect reports over a period of 18 years (1999-2017) to capture the inter-relationships among duplicate defects.

Introducing paper: Rediscovery Datasets: Connecting Duplicate Reports
FLOBOT Perception

This dataset was collected with FLOBOT - an advanced autonomous floor scrubber - includes data from four different sensors for environment perception, as well as the robot pose in the world reference frame. Specifically, FLOBOT relies on a 3D lidar and a RGB-D camera for human detection and tracking, and a second RGB-D and a stereo camera for dirt and object detection. Data collection was performed in four public places (three of them are released in this dataset), two in Italy and two in France, in FOLBOT working mode with the corresponding testing procedures for final project validation

Introducing paper: Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber