dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Supplementary material for PyTea | Manuals and test set. | Provide a detailed description of the following dataset: Supplementary material for PyTea |
EEG Motor Movement/Imagery Dataset | This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers. | Provide a detailed description of the following dataset: EEG Motor Movement/Imagery Dataset |
DeepCom-Java | The Java dataset introduced in DeepCom ([Deep Code Comment Generation](https://dl.acm.org/doi/10.1145/3196321.3196334)), commonly used to evaluate automated code summarization. | Provide a detailed description of the following dataset: DeepCom-Java |
ParallelCorpus-Python | The Python dataset introduced in the Parallel Corpus paper ([A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation](https://aclanthology.org/I17-2053.pdf)), commonly used for evaluating automated code summarization. | Provide a detailed description of the following dataset: ParallelCorpus-Python |
Java scripts | The Java dataset introduced in Hybrid-DeepCom ([Deep code comment generation with hybrid lexical and syntactical information](https://link.springer.com/article/10.1007%2Fs10664-019-09730-9)), commonly used to evaluate automated code summarization. It is basically a further version of [DeepCom-Java](https://paperswithco... | Provide a detailed description of the following dataset: Java scripts |
UFPR-ADMR-v2 | The UFPR-ADMR-v2 dataset contains 5,000 dial meter images obtained on-site by employees of the Energy Company of Paraná (Copel), which serves more than 4M consuming units in the Brazilian state of Paraná. The images were acquired with many different cameras and are available in the JPG format with 320×640 or 640×320 pi... | Provide a detailed description of the following dataset: UFPR-ADMR-v2 |
ICEWS | A repository that contains political events with a specific timestamp. These political events relate entities (e.g. countries, presidents...) to a number of other entities via logical predicates (e.g. ’Make a visit’ or ’Express intent to meet or negotiate’). | Provide a detailed description of the following dataset: ICEWS |
XQLFW | An evaluation protocol for face verification focusing on a large intra-pair image quality difference.
Real-world face recognition applications often deal with suboptimal image quality or resolution due to different capturing conditions such as various subject-to-camera distances, poor camera settings, or motion blur... | Provide a detailed description of the following dataset: XQLFW |
PSI | The **IUPUI-CSRC Pedestrian Situated Intent** (**PSI**) benchmark dataset has two innovative labels besides comprehensive computer vision annotations. The first novel label is the dynamic intent changes for the pedestrians to cross in front of the ego-vehicle, achieved from 24 drivers with diverse backgrounds. The seco... | Provide a detailed description of the following dataset: PSI |
E-scooter Rider Detection Benchmark Dataset | A small benchmark dataset for e-scooter rider detection task, and a trained model to support the detection of e-scooter riders from RGB images collected from natural road scenes. | Provide a detailed description of the following dataset: E-scooter Rider Detection Benchmark Dataset |
Klexikon | The dataset introduces document alignments between [German Wikipedia](de.wikipedia.org) and the children's lexicon [Klexikon](klexikon.zum.de).
The source texts in Wikipedia are both written in a more complex language than Klexikon, and also significantly longer, which makes this a suitable application for both summar... | Provide a detailed description of the following dataset: Klexikon |
H²O Interaction | H²O is an image dataset annotated for Human-to-human-or-object interaction detection. H²O is composed of the images from V-COCO dataset to which are added images which mostly contain interactions between people. The dataset has been introduced in this paper: Orcesi, A., Audigier, R., Toukam, F. P., & Luvison, B. (2021,... | Provide a detailed description of the following dataset: H²O Interaction |
CLEAR | **CLEAR** is a continual image classification benchmark dataset with a natural temporal evolution of visual concepts in the real world that spans a decade (2004-2014). CLEAR is built from existing large-scale image collections ([YFCC100M](/dataset/yfcc100m)) through a novel and scalable low-cost approach to visio-lingu... | Provide a detailed description of the following dataset: CLEAR |
SMD | a dataset of time-series anomaly detection | Provide a detailed description of the following dataset: SMD |
Common Phone | **Common Phone** is a gender-balanced, multilingual corpus recorded from more than 76.000 contributors via Mozilla's Common Voice project. It comprises around 116 hours of speech enriched with automatically generated phonetic segmentation. | Provide a detailed description of the following dataset: Common Phone |
TempQA-WD | **TempQA-WD** is a benchmark dataset for temporal reasoning designed to encourage research in extending the present approaches to target a more challenging set of complex reasoning tasks. Specifically, the benchmark is a temporal question answering dataset with the following advantages: (a) it is based on Wikidata, whi... | Provide a detailed description of the following dataset: TempQA-WD |
BigDatasetGAN | **BigDatasetGAN** is a dataset for pixel-wise ImageNet segmentation. It consists of large synthetic datasets from BigGAN & VQGAN.
Image source: [https://arxiv.org/pdf/2201.04684v1.pdf](https://arxiv.org/pdf/2201.04684v1.pdf) | Provide a detailed description of the following dataset: BigDatasetGAN |
LaFAN1 | # Ubisoft La Forge Animation Dataset ("LAFAN1")
Ubisoft La Forge Animation dataset and accompanying code for the SIGGRAPH 2020 paper [Robust Motion In-betweening](https://montreal.ubisoft.com/en/automatic-in-betweening-for-faster-animation-authoring/).
Shot in May 2017.
This dataset can be used under the Creat... | Provide a detailed description of the following dataset: LaFAN1 |
CI-AVSR | **Cantonese In-car Audio-Visual Speech Recognition** (**CI-AVSR**) is a dataset for in-car command recognition in the Cantonese language with both video and audio data. It consists of 4,984 samples (8.3 hours) of 200 in-car commands recorded by 30 native Cantonese speakers. Furthermore, the dataset is augmented using c... | Provide a detailed description of the following dataset: CI-AVSR |
COLDataset | **COLDataset** is a dataset to facilitate Chinese offensive language detection and model evaluation. It include a Chinese offensive language dataset containing 37k annotated sentences. | Provide a detailed description of the following dataset: COLDataset |
CPP simulated evaluation | In this repository you can find all the elaborate results that were used for the simulated evaluation of an innovative, optimized for real-life use, STC-based, multi-robot Coverage Path Planning (mCPP) algorithm. For this evaluation were introduced in "Apostolidis, S. D., Kapoutsis, P. C., Kapoutsis, A. C., & Kosmatopo... | Provide a detailed description of the following dataset: CPP simulated evaluation |
PerPaDa | **PerPaDa** is a Persian paraphrase dataset that is collected from users' input in a plagiarism detection system. | Provide a detailed description of the following dataset: PerPaDa |
RuMedBench | **RuMedBench** is a benchmark dataset for Russian medical language understanding. | Provide a detailed description of the following dataset: RuMedBench |
MuLVE | **Multi-Language Vocabulary Evaluation Data Set** (**MuLVE**) is a dataset consisting of vocabulary cards and real-life user answers, labeled indicating whether the user answer is correct or incorrect. | Provide a detailed description of the following dataset: MuLVE |
WebUAV-3M | WebUAV-3M is a new million-scale Unmanned Aerial Vehicle (UAV) tracking benchmark consisting of 4,485 videos with more than 3M frames from the Internet. An efficient and scalable Semi-Automatic Target Annotation (SATA) pipeline is devised to label the tremendous WebUAV-3M in every frame. The densely bounding box annota... | Provide a detailed description of the following dataset: WebUAV-3M |
Grep-BiasIR | **Grep-BiasIR** is a novel thoroughly-audited dataset which aim to facilitate the studies of gender bias in the retrieved results of IR systems. | Provide a detailed description of the following dataset: Grep-BiasIR |
FIG-Loneliness | **FIG-Loneliness** (**FIne-Grained Loneliness**) is a dataset collected by using Reddit posts in two young adult-focused forums and two loneliness related forums consisting of a diverse age group. Annotations by trained human annotators for binary and fine-grained loneliness classifications of the posts are provided. | Provide a detailed description of the following dataset: FIG-Loneliness |
IKEA Object State Dataset | **IKEA Object State Dataset** is a new dataset that contains IKEA furniture 3D models, RGBD video of the assembly process, the 6DoF pose of furniture parts and their bounding box. | Provide a detailed description of the following dataset: IKEA Object State Dataset |
KazNERD | **KazNERD** is a dataset for Kazakh named entity recognition. The dataset was built as there is a clear need for publicly available annotated corpora in Kazakh, as well as annotation guidelines containing straightforward--but rigorous--rules and examples. The dataset annotation, based on the IOB2 scheme, was carried ou... | Provide a detailed description of the following dataset: KazNERD |
PhoMT | **PhoMT** is a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs for machine translation. | Provide a detailed description of the following dataset: PhoMT |
HS-BAN | **HS-BAN** is a binary class hate speech (HS) dataset in Bangla language consisting of more than 50,000 labeled comments, including 40.17% hate and rest are non hate speech. | Provide a detailed description of the following dataset: HS-BAN |
PASTRIE | **Prepositions Annotated with Supersense Tags in Reddit International English** (**PASTRIE**) is a new corpus containing manually annotated preposition supersenses of English data from presumed speakers of four L1s: English, French, German, and Spanish | Provide a detailed description of the following dataset: PASTRIE |
COPA-SSE | **Semi-Structured Explanations for COPA** (**COPA-SSE**) is a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for COPA questions. The explanations are formatted as a set of triple-like common sense statements with ConceptNet relations but freely written concepts. This semi-structure... | Provide a detailed description of the following dataset: COPA-SSE |
The People’s Speech | **The People's Speech** is a free-to-download 30,000-hour and growing supervised conversational English speech recognition dataset licensed for academic and commercial usage under CC-BY-SA (with a CC-BY subset). The data is collected via searching the Internet for appropriately licensed audio data with existing transcr... | Provide a detailed description of the following dataset: The People’s Speech |
Korean Table Question Answering | Korean tabular dataset is a collection of 1.4M tables with corresponding descriptions for unsupervised pre-training language models. Korean table question answering corpus consists of 70k pairs of questions and answers created by crowd-sourced workers. | Provide a detailed description of the following dataset: Korean Table Question Answering |
EventNarrative | **EventNarrative** is a knowledge graph-to-text dataset from publicly available open-world knowledge graphs. EventNarrative consists of approximately 230,000 graphs and their corresponding natural language text. | Provide a detailed description of the following dataset: EventNarrative |
Synthetic Visual Inspections | Synthetic visual inspection data of structural elements in bridges. The data is generated using the OpenIPDM toolbox "Generate Synthetic Dataset". For further details about the data generation and the properties of the dataset, refer to the software manual at [https://github.com/CivML-PolyMtl/OpenIPDM/blob/main/Help](h... | Provide a detailed description of the following dataset: Synthetic Visual Inspections |
PP-HumanSeg14K | A large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K frames. This dataset contains various teleconferencing scenes, various actions of the participants, interference of passers-by and illumination change. | Provide a detailed description of the following dataset: PP-HumanSeg14K |
MMAC Captions | We provide a dataset called MMAC Captions for sensor-augmented egocentric-video captioning. The dataset contains 5,002 activity descriptions by extending the [CMU-MMAC dataset](http://kitchen.cs.cmu.edu/index.php). A number of activity description examples can be found in the homepage. | Provide a detailed description of the following dataset: MMAC Captions |
SLAKE-English | English subset of the SLAKE dataset, comprising 642 images and more than 7,000 question–answer pairs. | Provide a detailed description of the following dataset: SLAKE-English |
ARKitScenes | **ARKitScenes** is an RGB-D dataset captured with the widely available Apple LiDAR scanner. Along with the per-frame raw data (Wide Camera RGB, Ultra Wide camera RGB, LiDar scanner depth, IMU) the authors also provide the estimated ARKit camera pose and ARKit scene reconstruction for each iPad Pro sequence. In addition... | Provide a detailed description of the following dataset: ARKitScenes |
LasHeR | **LasHeR** consists of 1224 visible and thermal infrared video pairs with more than 730K frame pairs in total. Each frame pair is spatially aligned and manually annotated with a bounding box, making the dataset well and densely annotated. LasHeR is highly diverse capturing from a broad range of object categories, camer... | Provide a detailed description of the following dataset: LasHeR |
Symmetry-OOD | **Symmetry-OOD** is a dataset for symmetry perception by deep neural networks. | Provide a detailed description of the following dataset: Symmetry-OOD |
Urdu Online Reviews | This corpus was constructed by collecting 10,008 reviews from various domains, including sports, food, software, politics, and entertainment. Human annotators manually tagged the reviews into positive (n = 3662), negative (n = 2619), and neutral (n = 3727) categories. | Provide a detailed description of the following dataset: Urdu Online Reviews |
CVGL Camera Calibration Dataset | The dataset has been generated using Town 1 and Town 2 of CARLA Simulator. The dataset consists of 50 camera configurations with each town having 25 configurations. The parameters modified for generating the configurations include f ov, x, y, z, pitch, yaw, and roll. Here, f ov is the field of view, (x, y, z) is the tr... | Provide a detailed description of the following dataset: CVGL Camera Calibration Dataset |
Tsinghua-Daimler Cyclist Benchmark | The Tsinghua-Daimler Cyclist Benchmark provides a benchmark dataset for cyclist detection. Bounding Box based labels are provided for the classes: ("pedestrian", "cyclist", "motorcyclist", "tricyclist", "wheelchairuser", "mopedrider"). | Provide a detailed description of the following dataset: Tsinghua-Daimler Cyclist Benchmark |
Data and Material for 'Interpersonal Conflicts During Code Review' | ## About the study
This study was exploring the landscape of interpersonal conflicts during code review in following areas:
- how these conflicts look like
- what role do they play in software development
- what are their consequences
- what factors do play role in their appearance and severity
- what strategie... | Provide a detailed description of the following dataset: Data and Material for 'Interpersonal Conflicts During Code Review' |
DKhate | A corpus of Offensive Language and Hate Speech Detection for Danish
This DKhate dataset contains 3600 comments from the web annotated for offensive language, following the Zampieri et al. / OLID scheme.
Submissions and benchmarks for the OffensEval 2020 Danish track are also included. | Provide a detailed description of the following dataset: DKhate |
Broad Twitter Corpus | This paper introduces the Broad Twitter Corpus (BTC), which is not only significantly bigger, but sampled across different regions, temporal periods, and types of Twitter users. The gold-standard named entity annotations are made by a combination of NLP experts and crowd workers, which enables us to harness crowd recal... | Provide a detailed description of the following dataset: Broad Twitter Corpus |
DanFEVER | We present a dataset, DANFEVER, intended for claim verification in Danish. The dataset builds upon the task framing of the FEVER fact extraction and verification challenge. DANFEVER can be used for creating models for detecting mis- & disinformation in Danish as well as for verification in multilingual settings. | Provide a detailed description of the following dataset: DanFEVER |
DAGW | It’s hard to develop good tools for processing Danish with computers when no large and wide-coverage dataset of Danish text is readily available. To address this, the Danish Gigaword Project (DAGW) maintains a corpus for Danish with over a billion words. The general goals are to create a dataset that is:
* represent... | Provide a detailed description of the following dataset: DAGW |
NASA Crew Exploration Vehicle (CEV) Software Event Log | Extensible Event Stream (XES) software event log obtained through instrumenting the NASA CEV class using the tool available at {https://svn.win.tue.nl/repos/prom/XPort/}. This event log contains method-call level events describing a single run of an exhaustive unit test suite for the Crew Exploration Vehicle (CEV) exam... | Provide a detailed description of the following dataset: NASA Crew Exploration Vehicle (CEV) Software Event Log |
FloorPlanCAD | **FloorPlanCAD** is a large-scale real-world CAD drawing dataset containing over 15,000 floor plans, ranging from residential to commercial buildings. | Provide a detailed description of the following dataset: FloorPlanCAD |
DABS | **DABS** is a domain-agnostic benchmark for self-supervised learning to encourage research and progress towards domain-agnostic methods. | Provide a detailed description of the following dataset: DABS |
CamGes | The size of the data set is about 1GB.
The data set consists of 900 image sequences of 9 gesture classes, which are defined by 3 primitive hand shapes and 3 primitive motions. Therefore, the target task for this data set is to classify different shapes as well as different motions at a time. | Provide a detailed description of the following dataset: CamGes |
AWARE | The peer-reviewed paper of AWARE dataset is published in ASEW 2021, and can be accessed through: http://doi.org/10.1109/ASEW52652.2021.00049. Kindly cite this paper when using AWARE dataset.
Aspect-Based Sentiment Analysis (ABSA) aims to identify the opinion (sentiment) with respect to a specific aspect. Since there... | Provide a detailed description of the following dataset: AWARE |
ManyTypes4TypeScript | [](https://doi.org/10.5281/zenodo.6336113) Type Inference dataset for TypeScript. Click on DOI tag for dataset files. | Provide a detailed description of the following dataset: ManyTypes4TypeScript |
Survey answers | Please see paper for questions. These are the answers to the surveys, processed and included in the paper via knitr | Provide a detailed description of the following dataset: Survey answers |
MARIDA | **MARIDA** (**Marine Debris Archive**) is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris from various marine features that co-exist, including Sargassum macroalgae, Ships, Natural Organic Material, Waves, Wakes, Foam, dissimilar water types (i.e., Clear, T... | Provide a detailed description of the following dataset: MARIDA |
A ground-truth dataset to identify bots in GitHub | This dataset is a ground truth dataset that is used to identify bots. Each account in this dataset is rated by at least 3 raters with a high interrater agreement. | Provide a detailed description of the following dataset: A ground-truth dataset to identify bots in GitHub |
ISBNet | ISBNet is a dataset of images of recyclables. It is hand collected by our group at the International School of Beijing. The trash in these images was gathered from trash bins around the school. ISBNet totals 889 images distributed across 5 classes: cans (74), landfill (410), paper (182), plastic (122), and tetra pak (1... | Provide a detailed description of the following dataset: ISBNet |
TUH EEG Seizure Corpus | Our goal is to enable deep learning research in neuroscience by releasing the largest publicly available unencumbered database of EEG recordings. This ongoing project currently includes over 30,000 EEGs spanning the years from 2002 to present. Data collected can be used for both research and commercialization purposes.... | Provide a detailed description of the following dataset: TUH EEG Seizure Corpus |
PPG Dalia | PPG-DaLiA is a publicly available dataset for PPG-based heart rate estimation. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects while performing a wide range of activities under close to real-life conditions. The included ECG data provid... | Provide a detailed description of the following dataset: PPG Dalia |
NPSC | The Norwegian Parliamentary Speech Corpus (NPSC) is a speech corpus made by the Norwegian Language Bank at the National Library of Norway in 2019-2021. The NPSC consists of recordings of speech from Stortinget, the Norwegian parliament, and corresponding orthographic transcriptions to Norwegian Bokmål and Norwegian Nyn... | Provide a detailed description of the following dataset: NPSC |
IGLUE | The **Image-Grounded Language Understanding Evaluation** (**IGLUE**) benchmark brings together—by both aggregating pre-existing datasets and creating new ones—visual question answering, cross-modal retrieval, grounded reasoning, and grounded entailment tasks across 20 diverse languages. The benchmark enables the evalua... | Provide a detailed description of the following dataset: IGLUE |
ModelNet40-C | ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
We create ModelNet40-C based on the ModelNet40 validation set with 15 corruption types and 5 severity levels for each corruption type including density, noise, and transformation corruption patterns. Our dat... | Provide a detailed description of the following dataset: ModelNet40-C |
Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files | Neural network model files and Madgraph event generator outputs used as inputs to the results presented in the paper "Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences" arXiv:2108.11481; 2022 Mach. Learn.: Sci. Technol. 3 015021
... | Provide a detailed description of the following dataset: Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files |
Simulated EM showers data | Electromagnetic (EM) showers simulated dataset. The data contains 16,577 showers. The data includes information about the tracklets: position coordinates, direction and shower id, and about the showers: shower id, initial particle position and direction, shower energy.
Generation is done using FairShip framework. ... | Provide a detailed description of the following dataset: Simulated EM showers data |
Validation Dataset | AlgorithmComparison:
Comparison of algorithms on benchmark test cases. Details on included in the paper. 10 cases for each algorithm / benchmark test. Optimum.txt file includes the history of best optimum and SamplePointsResults.txt file contains results for all the black-box function evaluations. Last colum represent... | Provide a detailed description of the following dataset: Validation Dataset |
QALD-9-Plus | # QALD-9-Plus Dataset Description
[QALD-9-Plus](https://github.com/Perevalov/qald_9_plus) is the dataset for Knowledge Graph Question Answering (KGQA) based on well-known [QALD-9](https://github.com/ag-sc/QALD/tree/master/9/data).
QALD-9-Plus enables to train and test KGQA systems over DBpedia and Wikidata using ... | Provide a detailed description of the following dataset: QALD-9-Plus |
SuperMUDI | The Super-resolution of Multi-Dimensional Diffusion MRI
(Super MUDI) dataset contains the data of four healthyhuman subjects with ages range between 19 and 46 years.
For each subject 1,344 MRI volumes are provided. Theimaging device was clinical 3T Philips Achieva Scanner
(Best, Netherlands) with a 32-channel adult... | Provide a detailed description of the following dataset: SuperMUDI |
Violent-Flows | Crowd Violence \ Non-violence Database and benchmark: A database of real-world, video footage of crowd violence, along with standard benchmark protocols designed to test both violent/non-violent classification and violence outbreak detections. The data set contains 246 videos. All the videos were downloaded from YouTub... | Provide a detailed description of the following dataset: Violent-Flows |
WikiConvert | Wiki-Convert is a 900,000+ sentences dataset of precise number annotations from English Wikipedia. It relies on Wiki contributors' annotations in the form of a {{Convert}} template. | Provide a detailed description of the following dataset: WikiConvert |
CVIT PIB | We present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as low resource. The corpora are compiled from online sources which have content shared across languages. The corpora p... | Provide a detailed description of the following dataset: CVIT PIB |
AMR3.0 | Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a... | Provide a detailed description of the following dataset: AMR3.0 |
ShapeNetCore | ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations. It covers 55 common object categories with about 51,300 unique 3D models. The 12 object categories of PASCAL 3D+, a popular computer vision 3D benchmark dataset, are all covered by... | Provide a detailed description of the following dataset: ShapeNetCore |
AbdomenCT-1K | - We present a large and diverse abdominal CT organ segmentation dataset, termed AbdomenCT-1K, with more than 1000 (1K) CT scans from 12 medical centers, including multi-phase, multi-vendor, and multi-disease cases.
- Furthermore, we conduct a large-scale study for liver, kidney, spleen, and pancreas segmentation and... | Provide a detailed description of the following dataset: AbdomenCT-1K |
CodeContests | CodeContests is a competitive programming dataset for machine-learning. This dataset was used when training [AlphaCode](https://deepmind.com/blog/article/Competitive-programming-with-AlphaCode).
It consists of programming problems, from a variety of sources.
Problems include test cases in the form of paired input... | Provide a detailed description of the following dataset: CodeContests |
NR-HCPI | NR-HCPI (Non-redundant Human CPI dataset) | Provide a detailed description of the following dataset: NR-HCPI |
MedVidQA | The MedVidQA dataset contains the collection of 3, 010 manually created health-related questions and timestamps as visual answers to those questions from trusted video sources, such as accredited medical schools with an established reputation, health institutes, health education, and medical practitioners. | Provide a detailed description of the following dataset: MedVidQA |
MedVidCL (Medical Video Classification) | The MedVidCL dataset contains a collection of 6, 617 videos annotated into ‘medical instructional’, ‘medical non-instructional' and ‘non-medical’ classes. A two-step approach is used to construct the MedVidCL dataset. In the first step, the videos annotated by health informatics experts are used to train a machine le... | Provide a detailed description of the following dataset: MedVidCL (Medical Video Classification) |
Illness-dataset | A dataset for evaluating text classification, domain adaptation, and active learning models. The dataset consists of 22,660 documents (tweets) collected in 2018 and 2019. It spans across four domains: Alzheimer's, Parkinson's, Cancer, and Diabetes. | Provide a detailed description of the following dataset: Illness-dataset |
IEEE-CIS 3rd Technical Challenge | The IEEE Computational Intelligence Society ran a competition from July to November 2021 for predicting and optimizing based on renewable energy data.
The data was from six buildings and six solar installations at the Monash University, Clayton campus, in Melbourne, Victoria, Australia.
The data was at 15 minute re... | Provide a detailed description of the following dataset: IEEE-CIS 3rd Technical Challenge |
LARa | LARa is the first freely accessible logistics-dataset for human activity recognition. In the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund University, two picking and one packing scenarios with 14 subjects were recorded using OMoCap, IMUs, and an RGB camera. 758 minutes of recordings were labeled by 12 an... | Provide a detailed description of the following dataset: LARa |
Topic modeling topic coverage dataset | A prevalent use case of topic models is that of topic discovery.
However, most of the topic model evaluation methods rely on abstract metrics such as perplexity or topic coherence.
The topic coverage approach is to measure the models' performance by matching model-generated topics to topics discovered by humans.
Thi... | Provide a detailed description of the following dataset: Topic modeling topic coverage dataset |
OpenML-CC18 | We advocate the use of curated, comprehensive benchmark suites of machine learning datasets, backed by standardized OpenML-based interfaces and complementary software toolkits written in Python, Java and R. We demonstrate how to easily execute comprehensive benchmarking studies using standardized OpenML-based benchmark... | Provide a detailed description of the following dataset: OpenML-CC18 |
NDPSID - WACV 2019 | This database offers iris images (with and without contact lenses) of the same eyes captured shortly one after another with illumination coming from two different locations. 5,796 iris images in total were acquired by the LG IrisAccess 4000 sensor from 119 subjects. This set is divided into four subsets used in the exp... | Provide a detailed description of the following dataset: NDPSID - WACV 2019 |
CAT: Context Adjustment Training | CAT is a specialized dataset for co-saliency detection. This dataset is intended for both helping to assess the performance of vision algorithms and supporting research that aims to exploit large volumes of annotated data, e.g., for training deep neural networks.
Scale & Features
- A total number of 33500 image sam... | Provide a detailed description of the following dataset: CAT: Context Adjustment Training |
Colored-MNIST(with spurious correlation) | This is a dataset with spurious correlations which can be used to evaluate machine learning methods for out-of-distribution generalization, causal inference, and related field. | Provide a detailed description of the following dataset: Colored-MNIST(with spurious correlation) |
JaQuAD | **JaQuAD** (Japanese Question Answering Dataset) is a question answering dataset in Japanese that consists of 39,696 extractive question-answer pairs on Japanese Wikipedia articles. | Provide a detailed description of the following dataset: JaQuAD |
Tool clustering dataset | # Tool Database for image-set clustering
This database was generated to evaluate a robotic application dealing with image-set clustering. The goal is to sort and store tools on an table in an unsupervised way, from pixel inputs. Pictures contains objects that can be found in a shop-floor. Each picture contains onl... | Provide a detailed description of the following dataset: Tool clustering dataset |
EmoFilm | EmoFilm is a multilingual emotional speech corpus comprising 1115 audio instances produced in English, Italian, and Spanish languages. The audio clips (with a mean length of 3.5 sec. and std 1.2 sec.) were extracted in wave format (uncompressed, mono, 48 kHz sample rate and 16-bit) from 43 films (original in English an... | Provide a detailed description of the following dataset: EmoFilm |
SES | Currently, an essential point in speech synthesis is the addressing of the variability of human speech. One of the main sources of this diversity is the emotional state of the speaker. Most of the recent work in this area has been focused on the prosodic aspects of speech and on rule-based formant synthesis experiments... | Provide a detailed description of the following dataset: SES |
AESI | The development of ecologically valid procedures for collecting reliable and unbiased emotional data towards computer interfaces with social and affective intelligence targeting patients with mental disorders. Following its development, presented with, the Athens Emotional States Inventory (AESI) proposes the design, r... | Provide a detailed description of the following dataset: AESI |
Yeast colony morphologies | Data for the paper entitled Quantifying yeast colony morphologies with feature engineering from time-lapse photography by A. Goldschmidt et al. (https://arxiv.org/abs/2201.05259)
This project is a collaboration between Dudley Lab at the Pacific NW Research Institute and the J. Nathan Kutz group at the University of ... | Provide a detailed description of the following dataset: Yeast colony morphologies |
ChEMBL v.27 | The standardised ChEMBL v.27 data set. Originally was taken from https://www.ebi.ac.uk/chembl/. Standardisation procedure is described in the HyFactor article, doi:10.26434/chemrxiv-2021-18x0d | Provide a detailed description of the following dataset: ChEMBL v.27 |
MOSES | The set is based on the ZINC Clean Leads collection. It contains 4,591,276 molecules in total, filtered by molecular weight in the range from 250 to 350 Daltons, a number of rotatable bonds not greater than 7, and XlogP less than or equal to 3.5. We removed molecules containing charged atoms or atoms besides C, N, S, O... | Provide a detailed description of the following dataset: MOSES |
BDD100K-weather(OOD Setting) | BDD100K-weather is a dataset which is inherited from BDD100K using image attribute labels for Out-of-Distribution object detection. All images in BDD100K are categorized into six domains, including clear, overcast, foggy, partly cloudy, rainy and snowy. Clear and overcast are used for training while the rest is used fo... | Provide a detailed description of the following dataset: BDD100K-weather(OOD Setting) |
CoAuthor | **CoAuthor** is a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing. CoAuthor captures rich interactions between 63 writers and four instances of GPT-3 across 1445 writing sessions. | Provide a detailed description of the following dataset: CoAuthor |
Met | The **Met** dataset is a large-scale dataset for Instance-Level Recognition (ILR) in the artwork domain. It relies on the open access collection from the Metropolitan Museum of Art (The Met) in New York to form the training set, which consists of about 400k images from more than 224k classes, with artworks of world-lev... | Provide a detailed description of the following dataset: Met |
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