19,997 machine learning datasets
19,997 dataset results
Training data for Hebrew morphological word segmentation
This data set contains real-world table tennis ball trajectories recorded with our custom developed table tennis ball launcher AIMY. The data has been filtered. Faulty samples and ball trajectories have been removed from the data set. The trajectories are stored in the widely supported file format HDF5 (Hierarchical Data Format). For easier usage of the data, we attach a simple Python script.
Habitat-Matterport 3D Semantics Dataset (HM3D-Semantics v0.1) is the largest-ever dataset of semantically-annotated 3D indoor spaces. It contains dense semantic annotations for 120 high-resolution 3D scenes from the Habitat-Matterport 3D dataset. The HM3D scenes are annotated with the 1700+ raw object names, which are mapped to 40 Matterport categories. On average, each scene in HM3D-Semantics v0.1 consists of 646 objects from 114 categories.
brain-image-text trimodal datasets
Domains Project is a public dataset contains freely available sorted list of Internet domains.
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
The Fearless Steps Initiative by UTDallas-CRSS led to the digitization, recovery, and diarization of 19,000 hours of original analog audio data, as well as the development of algorithms to extract meaningful information from this multichannel naturalistic data resource. As an initial step to motivate a stream-lined and collaborative effort from the speech and language community, UTDallas-CRSS is hosting a series of progressively complex tasks to promote advanced research on naturalistic “Big Data” corpora. This began with ISCA INTERSPEECH-2019: "The FEARLESS STEPS Challenge: Massive Naturalistic Audio (FS-#1)". This first edition of this challenge encouraged the development of core unsupervised/semi-supervised speech and language systems for single-channel data with low resource availability, serving as the “First Step” towards extracting high-level information from such massive unlabeled corpora. As a natural progression following the successful Inaugural Challenge FS#1, the FEARLESS
CC-Riddle is a Chinese character riddle dataset covering the majority of common simplified Chinese characters by crawling riddles from the Web and generating brand new ones. In the generation stage, the authors provide the Chinese phonetic alphabet, decomposition and explanation of the solution character for the generation model and get multiple riddle descriptions for each tested character. Then the generated riddles are manually filtered and the final dataset, CCRiddle is composed of both human-written riddles and filtered generated riddle.
VizWiz-FewShot is a a few-shot localization dataset originating from photographers who authentically were trying to learn about the visual content in the images they took. It includes nearly 10,000 segmentations of 100 categories in over 4,500 images that were taken by people with visual impairments.
The dataset contains tiles extracted from Whole Slide Images (WSI) of stained tissue samples.
VISOR is a dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS, and it contains 272K manual semantic masks of 257 object classes, 9.9M interpolated dense masks, and 67K hand-object relations, covering 36 hours of 179 untrimmed videos.
Trailers12k is a movie trailer dataset comprised of 12,000 titles associated to ten genres. It distinguishes from other datasets by its collection procedure aimed at providing a high-quality publicly available dataset.
MRI-based artificial intelligence (AI) research on patients with brain gliomas has been rapidly increasing in popularity in recent years in part due to a growing number of publicly available MRI datasets. Notable examples include The Cancer Genome Atlas Glioblastoma dataset (TCGA-GBM) consisting of 262 subjects and the International Brain Tumor Segmentation (BraTS) challenge dataset consisting of 542 subjects (including 243 preoperative cases from TCGA-GBM). The public availability of these glioma MRI datasets has fostered the growth of numerous emerging AI techniques including automated tumor segmentation, radiogenomics, and MRI-based survival prediction. Despite these advances, existing publicly available glioma MRI datasets have been largely limited to only 4 MRI contrasts (T2, T2/FLAIR, and T1 pre- and post-contrast) and imaging protocols vary significantly in terms of magnetic field strength and acquisition parameters. Here we present the University of California San Francisco Pre
Hand Wash Dataset consists of 292 videos of hand washes with each hand wash having 12 steps, for a total of 3,504 clips, in different environments to provide as much variance as possible. The variance was important to ensure that the model is robust and can work in more than a few environments. This dataset is designed for action recognition tasks
The Multi-domain Image Characteristic Dataset consists of thousands of images sourced from the internet. Each image falls under one of three domains - animals, birds, or furniture. There are five types under each domain. There are 200 images of each type, summing up the total dataset to 3,000 images. The master file consists of two columns; the image name and the visible characteristics of that image. Every image was manually analyzed and the characteristics for each image were generated, ensuring accuracy.
CERTAIN, or the Comparative Effectiveness Registry to Study Therapies for Arthritis and Inflammatory Conditions, is designed as a prospective nested substudy under our larger RA registry.
This repository provides full-text and metadata to the ACL anthology collection (80k articles/posters as of September 2022) also including .pdf files and grobid extractions of the pdfs.
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish. The dataset is used for the Knowledge Graph Completion and Entity Alignment task. DPB-5L (Spanish) is a subset of DPB-5L with Spanish KG.
Replication Data for: On estimating Armington elasticities for Japan's meat imports contains monthly import values and quantities from Jan 1996 to Dec 2020 for all 78 items.
Mint is a new Multilingual intimacy analysis dataset covering 13,384 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. The dataset is released along with the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis.