19,997 machine learning datasets
19,997 dataset results
CHORD is the first chorus recognition dataset containing 627 songs for public use.
BrazilDAM is a multi sensor and multitemporal dataset that consists of multispectral images of ore tailings dams throughout Brazil. Landsat 8 and Sentinel 2 satellites that capture multispectral images over the years 2016, 2017, 2018 and 2019 were used. The dataset contains samples collected in different regions, which increases the diversity and representativeness of the characteristics of the dams.
SinGAN-Seg-polyps is a synthetic dataset for polyp segmentation consisting of 10,000 synthetic polyps and masks.
Antibody Watch is a dataset of text snippets extracted from over 2000 PubMed articles with annotations denoting specificity of antibodies.
These datasets were used in the paper 'Evaluation of Thematic Coherence in Microblogs' (ACL, 2021). The data is structured as follows: each file represents a cluster of tweets which contains the tweet IDs, the journalist annotations for quality evaluation and issue identification, as well as the metric evaluation scores. Note that a set of 50 clusters, equally split between COVID-19 and Election domains, is shared between the 3 annotators and thus contains 3 labels.
MultiCite is a dataset of 12,653 citation contexts from over 1,200 computational linguistics papers used for Citation context analysis (CCA). MultiCite contains multi-sentence, multi-label citation contexts within full paper texts.
CityNet is a multi-modal urban dataset containing data from 7 cities, each of which coming from 3 data sources, which can be used for urban computing and smart city research. The dataset consists of 3 types of raw data (city layout, taxi, meteorology) collected from 7 cities.
CrowdSpeech is a publicly available large-scale dataset of crowdsourced audio transcriptions. It contains annotations for more than 20 hours of English speech from more than 1,000 crowd workers.
pd4ml is a collection of datasets from fundamental physics research -- including particle physics, astroparticle physics, and hadron- and nuclear physics -- for supervised machine learning studies. These datasets, containing hadronic top quarks, cosmic-ray induced air showers, phase transitions in hadronic matter, and generator-level histories, are made public to simplify future work on cross-disciplinary machine learning and transfer learning in fundamental physics.
Delaunay triangulation dataset for 5, 10, 15, 20 points.
The ExBAN dataset: a corpus of NL explanations generated by crowd-sourced participants presented with the task of explaining simple Bayesian Network (BN) graphical representations. These explanations, in a separate collection effort, are rated for clarity and informativeness.
The ObMan-Ego is a large-scale synthetic hand dataset with egocentric scenes in which the simulated hands are provided by ObMan. The dataset is used for a hand segmentation task and its sim-to-real adaptation benchmark. Training, validation, and testing sets contain 150, 000, 6, 500, and 6, 500 images, respectively.
Intrusion alert dataset captured through the Collegiate Penetration Testing Competition (CPTC) 2018. Contains alerts from 6 student teams. For details, see "A Cybersecurity Dataset Derived from the National Collegiate Penetration Testing Competition" by Nathan Munaiah et al.
Added information about the subject's body height and volumes of 14 individual body parts.
8 kinds of weld defects
This dataset reports counts of active GitHub contributors (activity: 2019/2020) geolocated in early 2021. Counts are aggregated at the country level and at various regional scales. Besides countries, we report data on the EU NUTS2 level, for Brazilian, Russian, Chinese, Japanese, Indian, and US-American subnational geographies. We used a pipeline approach, attempting to infer location first from GitHub profile of a developer, then from linked Twitter accounts, then from email suffixes (country level only). Our data reports the count of developers identified by each stage of the pipeline, in case for instance one prefers to only use the GitHub account information.
In this folder, you will find solutions of the following partial differential equations: - Burgers - Kortweg-de-Vries -Newell-Whitehead - Kuramoto-Sivashinsky
The HumanoidRobotPose dataset is a dataset for real-time pose estimation of humanoid robots.
SBU-WSD-Corpus is a corpus for Persian Word Sense Disambiguation (WSD). It is manually annotated with senses from the Persian WordNet (FarsNet) sense inventory. SBU-WSD-Corpus consists of 19 Persian documents in different domains such as Sports, Science, Arts, etc. It includes 5892 content words of Persian running text and 3371 manually sense annotated words (2073 nouns, 566 verbs, 610 adjectives, and 122 adverbs).
Disaster is a dataset that contains images collected from various sources for three different disasters: fire, water and land. Besides this, it also contains images for various damaged infrastructure due to natural or man made calamities and damaged human due to war or accidents.