19,997 machine learning datasets
19,997 dataset results
This dataset involves a 2D or 3D agent moving from a start to goal pose while interacting with nearby objects. These objects can influence position of the agent via attraction or repulsion forces as well as influence orientation via attraction to object's orientation. This dataset can be used to pre-train general policy behavior, which can be later fine-tuned quickly for a person's specific preferences. Example use-cases include: - self-driving cars maintaining distance from other cars - robot pick-and-place tasks with intermediate subtasks (ie: scanning factory items before dropping them off)
There are 9,321 survey papers with high quality included in the SurvayBank in the domain of computer science.
Includes several sets of synthetic stereo images labelled with grasp rectangles representing parallel-jaw grasps (Cornell-like format).
PLOD: An Abbreviation Detection Dataset
This is the dataset for testing the robustness of various VO/VIO methods, acquired on reak UAV.
DoPose (Dortmund 6D Pose dataset) is a dataset of highly cluttered and closely stacked objects. The dataset is saved in the BOP format. The dataset includes RGB images, Depth images, 6D Pose of objects, segmentation mask (all and visible), COCO Json annotation, camera transformations, and 3D model of all objects. The dataset contains 2 different types of scenes (table and bin). Each scene contains different view angles. For the bin scenes, the data contains 183 scenes with 2150 image views. Of those 183 scenes, 35 scenes contain 2 views, 20 contain 3 views and 128 contain 16 views. And for table scenes, the data contains 118 scenes with 1175 image views. in Those 118 scenes, 20 scenes contain 3 views, 50 scenes with 6 images, and 48 scenes with 17 images. So in total, our data contains 301 scenes and 3325 view images. Most of the scenes contain mixed objects. The dataset contains 19 objects in total.
The MLSum-it dataset is the translated version (Helsinki-NLP/opus-mt-es-it) of the spanish portion of MLSum, containing news articles taken from BBC/mundo.
Each HDF5 file has the following structure:
A syllogism is a common form of deductive reasoning that requires precisely two premises and one conclusion. The Avicenna corpus is a benchmark for syllogistic NLI and syllogistic NLG:
PLAD is a dataset where sparse depth is provided by line-based visual SLAM to verify StructMDC.
The United Retail Datasets (Unitail) is a large-scale benchmark of basic visual tasks on products that challenges algorithms for detecting, reading, and matching. It offers the Unitial-Det, with 1.8M quadrilateral-shaped instances annotated; and the Unitial-OCR, containing 1454 product categories, 30k text regions, and 21k transcriptions to enable robust reading on products and motivate enhanced product matching.
We build a hybrid fake face (HFF) dataset, which contains eight types of face images. For real face images, three types of face images are randomly selected from three open datasets. They are low-resolution face images from CelebA, high-resolution face images from CelebA-HQ, and face video frames from FaceForensics, respectively. Thus, real face images under internet scenarios are simulated as real as possible. Then, some most representative face manipulation techniques, which include PGGAN and StyleGAN for identity manipulation, Face2Face and Glow for face expression manipulation, and StarGAN for face attribute transfer, are selected to produce fake face images. The HFF dataset is a large fake face dataset, which contains more than 155k face images.
Nowadays, new branches of research are proposing the use of non-traditional data sources for the study of migration trends in order to find an original methodology to answer open questions about cross-border human mobility. The Multi-aspect Integrated Migration Indicators (MIMI) dataset is a new dataset to be exploited in migration studies as a concrete example of this new approach. It includes both official data about bidirectional human migration (traditional flow and stock data) with multidisciplinary variables and original indicators, including economic, demographic, cultural and geographic indicators, together with the Facebook Social Connectedness Index (SCI). It results from the process of gathering, embedding and integrating traditional and novel variables, resulting in this new multidisciplinary dataset that could significantly contribute to nowcast/forecast bilateral migration trends and migration drivers.
This dataset releases a significantly sized standard-abiding Hindi NER dataset containing 109,146 sentences and 2,220,856 tokens, annotated with 11 tags.
This dataset releases a significantly sized standard-abiding Hindi NER dataset containing 109,146 sentences and 2,220,856 tokens, annotated with 3 collapsed tags (PER, LOC, ORG).
PLOD: An Abbreviation Detection Dataset
Czech subjectivity dataset of 10k manually annotated subjective and objective sentences from movie reviews and descriptions. See the paper description https://arxiv.org/abs/2204.13915
Briganti et al. 2018
Armour et al. 2017
Paper abstract: