19,997 machine learning datasets
19,997 dataset results
This dataset contains nine video sequences captured by a webcam for salient closed boundary tracking evaluation. Each sequence is about 30 sec (30 fps) and the frame size is 640×480 (width×height). There are 9598 frames in total. In each sequence, different motion styles such as translation, rotation and viewpoint changing are all performed.
Salient-KITTI is a saliency map prediction dataset based on KITTI.
scb-mt-en-th-2020 is an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources, namely news, Wikipedia articles, SMS messages, task-based dialogs, web-crawled data and government documents.
Search4Code is a large-scale web query based dataset of code search queries for C# and Java. The Search4Code data is mined from Microsoft Bing's anonymized search query logs using weak supervision technique.
A dataset collected in a set of experiments that involves human participants and a robot.
The SG-NLG dataset is a pre-processed version of the DSTC8 Schema-Guided Dialogue SGD dataset, designed specifically for data-to-text Natural Language Generation (NLG). The original DSTC8 SGD contains ~20,000 dialogues spanning across ~20 domains.
The ShapeNet-Skeleton dataset has ground-truth skeleton point sets and skeletal volumes for object instances in the ShapeNet dataset.
Benchmark for BC Ki-67 stained cell detection and further annotated classification of cells.
SidechainNet is a protein structure prediction dataset that directly extends ProteinNet. Specifically, SidechainNet adds measurements for protein angles and coordinates that describe the complete, all-atom protein structure (backbone and sidechain, excluding hydrogens) instead of the protein backbone alone.
SIDOD is a new, publicly-available image dataset generated by the NVIDIA Deep Learning Data Synthesizer intended for use in object detection, pose estimation, and tracking applications. This dataset contains 144k stereo image pairs that synthetically combine 18 camera viewpoints of three photorealistic virtual environments with up to 10 objects (chosen randomly from the 21 object models of the YCB dataset) and flying distractors.
The simply-CLEVR dataset aims to provide a benchmark dataset that can be used for transparent quantitative evaluation of explanation methods (aka heatmaps/XAI methods). It is made of simple Visual Question Answering (VQA) questions, which are derived from the original CLEVR task, and where each question is accompanied by two Ground Truth Masks that serve as a basis for evaluating explanations on the input image.
Comprises of 400 naturalistic usages of literature-informed verbs spanning the spectrum of symmetry-asymmetry.
SmokEng is a dataset of 3144 tweets, which are selected based on the presence of colloquial slang related to smoking and analyze it based on the semantics of the tweet.
A dataset of 4562 images of which 4152 images contain a soccer ball.
A large-scale HVMT dataset named SoloDance.
The Spaceship dataset is a dataset for evaluating agents’ ability to learn to solve a class of physics-based tasks. The tasks consist on a spaceship that has to reach a the mothership in 11 steps, in an environment where static planets exert gravitational forces on the spaceship, which induce complex non-linear dynamics on the motion over the 11 steps.
Contains three types of 2D-3D reasoning tasks on view consistency, camera pose, and shape generation, with increasing difficulty.
SpectroVision is a dataset of 14,400 high resolution texture images and spectral measurements collected from a PR2 mobile manipulator that interacted with 144 household objects from eight material categories.
Stanford Question Answering Dataset (SQuAD) into Spanish.
SQuAD-it is derived from the SQuAD dataset and it is obtained through semi-automatic translation of the SQuAD dataset into Italian. It represents a large-scale dataset for open question answering processes on factoid questions in Italian. The dataset contains more than 60,000 question/answer pairs derived from the original English dataset.