dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
LSMDC-E | LSMDC-E contains 20,151 training samples, 1,477 validation samples and 2,005 test samples, which is modified from LSMDC 2021. We take the first four sentences in every five-sentence story as the story context and the last sentence as the story ending. As every sentence relates to a movie frame set in LSMDC, we take the... | Provide a detailed description of the following dataset: LSMDC-E |
BUP20 | Video sequences from a glasshouse environment in Campus Kleinaltendorf(CKA), University of Bonn, captured by [PATHoBot](https://ieeexplore.ieee.org/document/9562047), a glasshouse monitoring robot.
- 10 Video sequences, 120s long.
- 2 cultivar Mavera (yellow) and All- rounder (red).
- RGB-D images (Intel RealSens... | Provide a detailed description of the following dataset: BUP20 |
FOR-instance | The challenge of accurately segmenting individual trees from laser scanning data hinders the assessment of crucial tree parameters necessary for effective forest management, impacting many downstream applications. While dense laser scanning offers detailed 3D representations, automating the segmentation of trees and th... | Provide a detailed description of the following dataset: FOR-instance |
SB20 | Video sequences captured at a field on Campus Kleinaltendorf (CKA), University of Bonn, captured by [BonBot-I](https://ieeexplore.ieee.org/document/9981304), an autonomous weeding robot. The data was captured by mounting an Intel RealSense D435i sensor with a nadir view of the ground.
- RGB-D video sequences (Intel... | Provide a detailed description of the following dataset: SB20 |
Column Correlation Data | Contains correlation data for 119,384 column pairs, taken from 3,952 data sets, including Pearson correlation, Spearman correlation, and Theil's U. This data can be used, e.g., for approaches that predict column correlation based on column properties, including column names. | Provide a detailed description of the following dataset: Column Correlation Data |
MEAD | Multi-view Emotional Audio-visual Dataset | Provide a detailed description of the following dataset: MEAD |
FinVis | Pretrain: 200k
Instruction: 100k | Provide a detailed description of the following dataset: FinVis |
Bomstic | Plant growth | Provide a detailed description of the following dataset: Bomstic |
Text_VPH | Este conjunto de datos consiste en comentarios de publicaciones del MINSA (Perú) en Facebook sobre la vacuna contra el VPH entre los años 2019 y 2020. Se leyó cuidadosamente cada uno de los comentarios, luego se procedió a clasificarlos de manera manual. Para esta clasificación se interpretó los mensajes de las persona... | Provide a detailed description of the following dataset: Text_VPH |
UniKG | We construct a large-scale Heterogeneous Graph benchmark dataset named UniKG from Wikidata.
UniKG contains 77.31 million multi-attribute entities labels by 2000 classes, 564 million directed edges annotated by 2082 diverse association types, which significantly surpasses the scale of existing homogeneous graph dataset... | Provide a detailed description of the following dataset: UniKG |
repository of migratable containers in UMS | Repository of containerized services that can be migrated through UMS.
The dataset includes containers of the UMS platform plus sample containerized services that can be live migrated using UMS.
Specifically, the dataset includes containers for the following two services:
1. Memhog application: this is a containeriz... | Provide a detailed description of the following dataset: repository of migratable containers in UMS |
CamlessVideosFromTheWild | 57 stock videos from Pexels, predominantly covering road scenes which involve minimal distortion.
They involve different camera setups, also with varying camera heights, obstacles present throughout some videos (for e.g. car hood), highly varying image resolutions, and even weather conditions (day, rain, snow, night... | Provide a detailed description of the following dataset: CamlessVideosFromTheWild |
List of OWL reasoners | CSV file with a list of all examined OWL reasoners. For each item, information on usability and maintenance status, project pages, source code repositories and related documentation was gathered. | Provide a detailed description of the following dataset: List of OWL reasoners |
FROG (2D Laser People Detection) | FROG is a 2D LiDAR dataset with annotations for people detectors. It consists of 6 fully annotated sequences, and 30 total hours of recordings at the Royal Alcázar of Seville (Spain). The main motivation of this dataset is providing higher quality data with a richer variety of crowded scenarios, for improving the field... | Provide a detailed description of the following dataset: FROG (2D Laser People Detection) |
GRAZPEDWRI-DX | Digital radiography is widely available and the standard modality in trauma imaging, often enabling to diagnose pediatric wrist fractures. However, image interpretation requires time-consuming specialized training. Due to astonishing progress in computer vision algorithms, automated fracture detection has become a topi... | Provide a detailed description of the following dataset: GRAZPEDWRI-DX |
EEG Eye State | All data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detected via a camera during the EEG measurement and added later manually to the file after analysing the video frames. '1' indicates the eye-closed and '0' the eye-open s... | Provide a detailed description of the following dataset: EEG Eye State |
FMC-MWO2KG | The Failure Mode Classification dataset released in the paper ["MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance data"](https://journals.sagepub.com/doi/10.1177/1748006X221131128) by Stewart et al. The goal is to label a given observation (made by a maintainer) with the corresponding Fa... | Provide a detailed description of the following dataset: FMC-MWO2KG |
HEIMT | Continuous EEG activity was recorded from each member of the dyad using an ActiveTwo head cap and the ActiveTwo Biosemi system (BioSemi, Amsterdam, Netherlands). Recordings were
collected from 64 Ag-AgCl scalp electrodes and from bilateral mastoids. Two electrodes were placed next to each other 1 cm below the right ey... | Provide a detailed description of the following dataset: HEIMT |
US federal environmental agency websites, 2016–2020 | This dataset contains 40,000 URLs of US federal environmental agency websites, along with links to captures in the Internet Archive Wayback Machine for 2016 and 2020 when present. It also contains the prevalence of 56 environmental terms and phrases and how the presence of those terms on the webpages changed from 2016 ... | Provide a detailed description of the following dataset: US federal environmental agency websites, 2016–2020 |
ISLTranslate | Sign languages are the primary means of communication for a large number of people worldwide. Recently, the availability of Sign language translation datasets have facilitated the incorporation of Sign language research in the NLP community. Though a wide variety of research focuses on improving translation systems for... | Provide a detailed description of the following dataset: ISLTranslate |
BDD-A | Dataset Statistics: The statistics of our dataset are summarized and compared with the
largest existing dataset (DR(eye)VE) [1] in Table 1. Our dataset was collected using videos
selected from a publicly available, large-scale, crowd-sourced driving video dataset, BDD100k [30,
31]. BDD100K contains human-demonstrate... | Provide a detailed description of the following dataset: BDD-A |
Synthetic Speech Attribution | Synthetic Speech Attribution Dataset. | Provide a detailed description of the following dataset: Synthetic Speech Attribution |
Robust e-NeRF Synthetic Event Dataset | This synthetic event dataset is used in [**Robust *e*-NeRF**](https://wengflow.github.io/robust-e-nerf) to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera. It is simulated using an [improved version ... | Provide a detailed description of the following dataset: Robust e-NeRF Synthetic Event Dataset |
FinArg | With the goal of reasoning on the financial textual data, we present a novel dataset for annotating arguments, their components, and relations in the transcripts of earnings conference calls (ECCs). | Provide a detailed description of the following dataset: FinArg |
Autoformer | This is dataset for A TIME SERIES IS WORTH 64 WORDS: LONG-TERM FORECASTING WITH TRANSFORMERS
We evaluate the performance of our proposed PatchTST on 8 popular datasets, including
Weather, Traffic, Electricity, ILI and 4 ETT datasets (ETTh1, ETTh2, ETTm1, ETTm2). These
datasets have been extensively utilized for benc... | Provide a detailed description of the following dataset: Autoformer |
CY101 Dataset | In this dataset an uppertorso humanoid robot with 7-DOF arm explored 100 different objects belonging to 20 different categories using 10 behaviors: Look, Crush, Grasp, Hold, Lift, Drop, Poke, Push, Shake and Tap. | Provide a detailed description of the following dataset: CY101 Dataset |
ChatGPT-GNN Dataset | The data can be found in the Data folder, which contains two files:
- `ticker_train_data.json`: This file holds the data utilized for training and validation of our model.
- `ticker_test_data.json`: This file contains the data used for model evaluation.
To load the data, you can start with 4 lines of code:
```
... | Provide a detailed description of the following dataset: ChatGPT-GNN Dataset |
MCSI | The Mpox Close Skin Images dataset (MCSI) is a collection of skin images obtained from diverse public sources, that we accurately pre-processed (i.e., cropped and zoomed) in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pic... | Provide a detailed description of the following dataset: MCSI |
urban_change_monitoring_mariupol_ua | This dataset contains the ground truth for urban changes occurred in Mariupol, Ukraine for the time frame 2017-2020. This is useful for transferring the urban change monitoring network ERCNN-DRS (https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring) to that region. | Provide a detailed description of the following dataset: urban_change_monitoring_mariupol_ua |
CapMIT1003 | The CapMIT1003 database contains captions and clicks collected for images from the MIT1003 database, for which reference eye scanpath are available. The database is distributed as a single SQLite3 database named capmit1003.db. For convenience, a lightweight Python class to access the database is provided in the officia... | Provide a detailed description of the following dataset: CapMIT1003 |
SODA-D | SODA-D is a large-scale dataset tailored for small object detection in driving scenario, which is built on top of MVD dataset and owned data, where the former is a dataset dedicated to pixel-level understanding of street scenes, and the latter is mainly captured by onboard cameras and mobile phones. With 24704 well-cho... | Provide a detailed description of the following dataset: SODA-D |
SODA-A | SODA-A is a large-scale benchmark specialized for small object detection task under aerial scenes, which has 800203 instances with oriented rectangle box annotation across 9 classes. It contains 2510 high-resolution images extracted from Google Earth. | Provide a detailed description of the following dataset: SODA-A |
RAD-ChestCT Dataset | The RAD-ChestCT dataset is a large medical imaging dataset developed by Duke MD/PhD Rachel Draelos during her Computer Science PhD supervised by Lawrence Carin. The full dataset includes 35,747 chest CT scans from 19,661 adult patients. The public Zenodo repository contains an initial release of 3,630 chest CT scans, a... | Provide a detailed description of the following dataset: RAD-ChestCT Dataset |
Chaotic Trajectories | Dataset of chaotic Chua, Lorenz, Lorenz96, Mackey-Glass with tau=17, Mackey-Glass with tau=30, Rossler, Sprott systems. | Provide a detailed description of the following dataset: Chaotic Trajectories |
ImageNet-64 | Imagenet64 is a massive dataset of small images called the down-sampled version of Imagenet. Imagenet64 comprises 1,281,167 training data and 50,000 test data with 1,000 labels. | Provide a detailed description of the following dataset: ImageNet-64 |
MelodyNet | we introduce a large-scale and diverse symbolic melody dataset called MelodyNet that contains more than 0.4 million melody pieces extracted from approximately 1.6 million songs. MelodyNet is used for large-scale pre-training and domain-specific n-gram lexicon construction. | Provide a detailed description of the following dataset: MelodyNet |
FairPrism | FairPrism is a dataset of 5,000 examples of AI-generated English text with detailed human annotations covering a diverse set of harms relating to gender and sexuality. FairPrism aims to address several limitations of existing datasets for measuring and mitigating fairness-related harms, including improved transparency,... | Provide a detailed description of the following dataset: FairPrism |
Application of PanDict system based on EPSEIRV and SI3R models in epidemic forecasting and healthcare resource planning | Global epidemics, like COVID-19, have substantial impacts on almost all countries in multiple aspects, such as economy, hospitalization, lifestyle, etc1, 2. COVID-19 can spread to populations worldwide due, in part, to their high contagiousness, but more importantly, because of our inability to quickly address some ... | Provide a detailed description of the following dataset: Application of PanDict system based on EPSEIRV and SI3R models in epidemic forecasting and healthcare resource planning |
Vega-Lite Chart Collection | We present a new collection of 1,981 Vega-Lite specifications, which is used to demonstrate the generalizability and viability of our NL generation framework. This collection is the largest set of human-generated charts obtained from GitHub to date. It covers varying levels of complexity from a simple line chart withou... | Provide a detailed description of the following dataset: Vega-Lite Chart Collection |
Verified Smart Contracts | **Verified Smart Contracts** is a dataset of real Ethereum smart contracts, containing both Solidity and Vyper source code. It consists of every deployed Ethereum smart contract as of 1st of April 2022, whose been verified on [Etherscan](https://etherscan.io/) and has a least one transaction. A total of 186,397 unique ... | Provide a detailed description of the following dataset: Verified Smart Contracts |
Verified Smart Contract Code Comments | **Verified Smart Contracts Code Comments** is a dataset of real Ethereum smart contract functions, containing "code, comment" pairs of both Solidity and Vyper source code. The dataset is based on every deployed Ethereum smart contract as of 1st of April 2022, whose been verified on [Etherscan](https://etherscan.io/) an... | Provide a detailed description of the following dataset: Verified Smart Contract Code Comments |
Vulnerable Verified Smart Contracts | **Vulnerable Verified Smart Contracts** is a dataset of real vulnerable Ethereum smart contracts. Based on the manually labeled [Benchmark dataset of Solidity smart contracts](https://doi.org/10.5281/zenodo.7744053). A total of 609 vulnerable contracts are provided, containing 1,117 vulnerabilities. | Provide a detailed description of the following dataset: Vulnerable Verified Smart Contracts |
maze-dataset | This package provides utilities for generation, filtering, solving, visualizing, and processing of mazes for training ML systems. Primarily built for the [maze-transformer interpretability](https://github.com/understanding-search/maze-transformer) project. You can find our paper on it here: http://arxiv.org/abs/2309.10... | Provide a detailed description of the following dataset: maze-dataset |
STRAT | Spatial TRAnsformation for virtual Try-on (STRAT) dataset contains three subdatasets: STRAT-glasses, STRAT-hat, and STRAT-tie, which correspond to "glasses try-on", "hat try-on", and "tie try-on" respectively. In each subdataset, the training set has 2000 pairs of foregrounds (accessories) and backgrounds (human faces ... | Provide a detailed description of the following dataset: STRAT |
CAFD | This dataset comprises 16 499 images with 42 classes encompassing the most popular Central Asian cuisine consumed locally. | Provide a detailed description of the following dataset: CAFD |
ImageNet-1k vs iNaturalist | A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while iNaturalist is out-of-distribution. | Provide a detailed description of the following dataset: ImageNet-1k vs iNaturalist |
ImageNet-1k vs SUN | A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while SUN is out-of-distribution. | Provide a detailed description of the following dataset: ImageNet-1k vs SUN |
ImageNet-1k vs Places | A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while Places is out-of-distribution. | Provide a detailed description of the following dataset: ImageNet-1k vs Places |
ImageNet-1k vs Textures | A benchmark dataset for out-of-distribution detection. ImageNet-1k is in-distribution, while Textures is out-of-distribution. | Provide a detailed description of the following dataset: ImageNet-1k vs Textures |
ImageNet-1k vs OpenImage-O | OpenImage-O is built for the ID dataset ImageNet-1k. It is manually annotated, comes with a naturally diverse distribution, and has a large scale. It is built to overcome several shortcomings of existing OOD benchmarks. OpenImage-O is image-by-image filtered from the test set of OpenImage-V3, which has been collected f... | Provide a detailed description of the following dataset: ImageNet-1k vs OpenImage-O |
MPDD | Metal Parts Defect Detection Dataset | Provide a detailed description of the following dataset: MPDD |
NICOL Robot Kinematics Dataset | Kinematics Dataset for the NICOL robot (Neuro-inspired Collaborator). Data is intended for Training and Testing of inverse kinematics applications.
Contains Training, Test and Validation data for NICOL's right arm. Data for two differently-sized workspaces given.
Every sample is a tuple of a uniform randomly sam... | Provide a detailed description of the following dataset: NICOL Robot Kinematics Dataset |
CodeGen4Libs Dataset | The dataset is specifically constructed for the library-oriented code generation task, which are constructed in the paper “CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation”. | Provide a detailed description of the following dataset: CodeGen4Libs Dataset |
OG-MARL | Diverse datasets for offline multi-agent reinforcement learning research. Includes datasets for popular MARL benchmark environments such as:
* MAMuJoCo
* SMAC v1 & v2
* PettingZoo
* FlatLand
* CityLearn | Provide a detailed description of the following dataset: OG-MARL |
GePaDe | This dataset encompasses 265 speeches (over 200,000 tokens) from the German Bundestag, primarily from the 19th legislative term (2017-2021), given by 195 distinct speakers representing 6 political parties.
The data was annotated to perform a semantic role labeling task, namely to identify who said what to whom (spea... | Provide a detailed description of the following dataset: GePaDe |
Google Brain - Ventilator Pressure Prediction | What do doctors do when a patient has trouble breathing? They use a ventilator to pump oxygen into a sedated patient's lungs via a tube in the windpipe. But mechanical ventilation is a clinician-intensive procedure, a limitation that was prominently on display during the early days of the COVID-19 pandemic. At the same... | Provide a detailed description of the following dataset: Google Brain - Ventilator Pressure Prediction |
Grasp-Anything | We leverage knowledge from foundation models to introduce Grasp-Anything, a new large-scale dataset with 1M (one million) samples and 3M objects, substantially surpassing prior datasets in diversity and magnitude. In addition, Grasp-Anything can universally cover objects in our daily lives and offer a great range of o... | Provide a detailed description of the following dataset: Grasp-Anything |
WINGBEATS | Context
The database contains wav recordings from the same optical sensor inserted in-turn into six insectary boxes containing only one mosquito species of both sexes (about 200-300 flying mosquitoes in each cage). As the mosquitoes fly randomly through the sensor their wingbeat partially occludes the light from the t... | Provide a detailed description of the following dataset: WINGBEATS |
ABUZZ | As part of our policy to openly share all data from this project, we have included a downloadable package comprising all acoustic data collected over the course of this work. This includes acoustic recordings from 20 different species of mosquitoes, using a variety of mobile phones for each. This data can be downloaded... | Provide a detailed description of the following dataset: ABUZZ |
Br35H :: Brain Tumor Detection 2020 | ✔️Abstract
A Brain tumor is considered as one of the aggressive diseases, among children and adults. Brain tumors account for 85 to 90 percent of all primary Central Nervous System (CNS) tumors. Every year, around 11,700 people are diagnosed with a brain tumor. The 5-year survival rate for people with a cancerous brai... | Provide a detailed description of the following dataset: Br35H :: Brain Tumor Detection 2020 |
Amazon Multilingual Counterfactual Dataset (AMCD) | The dataset contains *sentences* from Amazon customer reviews (sampled from [Amazon product review dataset](https://s3.amazonaws.com/amazon-reviews-pds/readme.html)) annotated for counterfactual detection (CFD) *binary classification*.
Counterfactual statements describe events that did not or cannot take place. Counte... | Provide a detailed description of the following dataset: Amazon Multilingual Counterfactual Dataset (AMCD) |
SMID | This is the low-light image enhancement dataset collected by the CVPR 2018 paper "Seeing Motion in the Dark". | Provide a detailed description of the following dataset: SMID |
SDSD-indoor | The dataset collected by the paper Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment, ICCV 2021 | Provide a detailed description of the following dataset: SDSD-indoor |
SDSD-outdoor | Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment | Provide a detailed description of the following dataset: SDSD-outdoor |
WiSARD | WiSARD stands for Wilderness Search and Rescue Dataset (pronounced "wizard"). WiSARD consists of visual and thermal imagery taken from a drone flying over various wilderness environments in Washington, USA. The purpose of the WiSAR Image Dataset is to advance computer vision and deep learning research with a targeted ... | Provide a detailed description of the following dataset: WiSARD |
LOL-v2-synthetic | From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement | Provide a detailed description of the following dataset: LOL-v2-synthetic |
GlotScript | GlotScript-R is a resource that provides the attested writing systems for more than 7,000 languages. | Provide a detailed description of the following dataset: GlotScript |
ARAD-1K | The dataset used for NTIRE 2022 Spectral Recovery Challenge | Provide a detailed description of the following dataset: ARAD-1K |
KAIST | High-quality hyperspectral reconstruction using a spectral prior | Provide a detailed description of the following dataset: KAIST |
CAVE | Multispectral imaging using multiplexed illumination. | Provide a detailed description of the following dataset: CAVE |
VidChapters-7M | VidChapters-7M is a dataset of 817K user-chaptered videos including 7M chapters in total. VidChapters-7M is automatically created from videos online in a scalable manner by scraping user-annotated chapters and hence without any additional manual annotation. It is designed for training and evaluating models for video ch... | Provide a detailed description of the following dataset: VidChapters-7M |
ABIDE | Autism spectrum disorder (ASD) is characterized by qualitative impairment in social reciprocity, and by repetitive, restricted, and stereotyped behaviors/interests. Previously considered rare, ASD is now recognized to occur in more than 1% of children. Despite continuing research advances, their pace and clinical impac... | Provide a detailed description of the following dataset: ABIDE |
PFD | Recent progress in computer vision has been driven by high-capacity models trained on large datasets. Unfortunately, creating large datasets with pixel-level labels has been extremely costly due to the amount of human effort required. In this paper, we present an approach to rapidly creating pixel-accurate semantic lab... | Provide a detailed description of the following dataset: PFD |
EKubric | We use Kubric and ESIM simulator to make our EKubric dataset, which has 15,367 RGB-PointCloud-Event pairs with annotations (including optical flow, scene flow, surface normal, semantic segmentation and object coordinates ground truths). | Provide a detailed description of the following dataset: EKubric |
Real HSI | End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention | Provide a detailed description of the following dataset: Real HSI |
ForceCVPR2020 | This is a simulated dataset for force prediction | Provide a detailed description of the following dataset: ForceCVPR2020 |
Glass | From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc) | Provide a detailed description of the following dataset: Glass |
Statlog image segmentation | The instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel.
Each instance is a 3x3 region. | Provide a detailed description of the following dataset: Statlog image segmentation |
sonar | The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.
The file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. The file "sonar.roc... | Provide a detailed description of the following dataset: sonar |
CS-Campus3D | We present CS-Campus3D, the first 3D aerial-ground cross-source dataset consisting of point cloud data from both aerial and ground LiDAR scans. The point clouds in CS-Campus3D have representation gaps and other features like different views, point densities, and noise pattern. | Provide a detailed description of the following dataset: CS-Campus3D |
Robot@Home2 | [Robot@Home2](https://www.sciencedirect.com/science/article/pii/S2352711023001863),
is an enhanced version aimed at improving usability and functionality for
developing and testing mobile robotics and computer vision algorithms.
Robot@Home2 consists of three main components. Firstly, a [relational
database](https:/... | Provide a detailed description of the following dataset: Robot@Home2 |
Publication text: code, data, and new measures | Data for novelty and its impact detection in scientific publications from Microsoft Academic Graph (now OpenAlex) | Provide a detailed description of the following dataset: Publication text: code, data, and new measures |
InfraParis | InfraParis is a novel and versatile dataset supporting multiple tasks across three modalities: RGB, depth, and infrared. From the city to the suburbs, it contains a variety of styles in different areas of the greater Paris area, providing rich semantic information. InfraParis contains 7301 images with bounding boxes a... | Provide a detailed description of the following dataset: InfraParis |
UIIS dataset | This is the first general Underwater Image Instance Segmentation (UIIS) dataset containing 4,628 images for 7 categories with pixel-level annotations for underwater instance segmentation task | Provide a detailed description of the following dataset: UIIS dataset |
Nam | A holistic approach to cross-channel image noise modeling and its application to image denoising | Provide a detailed description of the following dataset: Nam |
Multi-Sensor Calibration | Two separate datasets of calibration runs in front of a calibration board:
- 4IMUs+3Cams
-4IMUs+4Cams
sensor hz topic resolution
MicroStrain GX3-25 500hz /gx3_25/data
MicroStrain GX3-25 100hz /gx3_35/imudata
Xsens MTI-100 400hz /imu/data
RealSense T265 IMU 200hz /t265/imu
RealSense T265 Left 30hz /t265... | Provide a detailed description of the following dataset: Multi-Sensor Calibration |
AI-GA: AI-Generated Abstracts dataset | The AI-GA (Artificial Intelligence Generated Abstracts) dataset is a collection of abstracts and titles, with half of the abstracts being AI-generated and the other half being original. This dataset is designed to be used for research and experimentation in the field of natural language processing, particularly in the ... | Provide a detailed description of the following dataset: AI-GA: AI-Generated Abstracts dataset |
Monovab | The most popular news portal's Facebook pages such as Prothom Alo, BBC Bangla, BD News 24, Bangla Tribune, Kaler Kantho, Daily Jugantor are picked to build the dataset. Following a manual collection of posts, a total of 130 posts for 11 news topics were obtained and converted into a CSV file. The dataset is annotated i... | Provide a detailed description of the following dataset: Monovab |
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds | This is the dataset for BirdSoundsDenoising including training, validation and test. | Provide a detailed description of the following dataset: BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds |
SaGA | The primary data of the SaGA corpus are made up of 25 dialogs of interlocutors (50), who engage in a spatial communication task combining direction-giving and sight description. Six of those dialogues with data only from the direction giver are available including audio (*.wav) and video (*.mp4) data. The secondary dat... | Provide a detailed description of the following dataset: SaGA |
BiGe | The BiGe corpus is comprised of 54.360 shots of interest extracted from TED and TEDx talks. All shots are tracked with fully 3d landmarks. | Provide a detailed description of the following dataset: BiGe |
OPFLearnData | The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to typical dataset creation methods. The OP... | Provide a detailed description of the following dataset: OPFLearnData |
LLeQA | LLeQA is a French native dataset for studying information retrieval and long-form question answering in the legal domain. It consists of a knowledge corpus of 27,941 statutory articles collected from the Belgian legislation, and 1,868 legal questions posed by Belgian citizens and labeled by experienced jurists with a c... | Provide a detailed description of the following dataset: LLeQA |
UV6K | UV6K is a high-resolution remote sensing urban vehicle segmentation dataset.
- Images: 6,313
- Vehicle: 245,141
- Resolution: 0.1m
- Image Size: 1024x1024 | Provide a detailed description of the following dataset: UV6K |
Clickbait PDFs | The paper presents a study of Clickbait PDFs, which are PDF documents leading to various attacks on the Web. Clickbait PDFs are different from the well-known "MalPDFs", usually found in phishing emails, as they do not contain malware.
The study leverages a dataset of PDF files we receive from two industrial collabor... | Provide a detailed description of the following dataset: Clickbait PDFs |
SchizzoSQUAD | The “Mental Health” forum was used, a forum dedicated to people suffering from schizophrenia and different mental disorders. Relevant posts of active users, who regularly participate, were extrapolated providing a new method of obtaining low-bias content and without privacy issues. This corpus i then processed to offer... | Provide a detailed description of the following dataset: SchizzoSQUAD |
EPIC-STATES | EPIC-STATES builds upon the raw data in the EPIC-KITCHENS dataset and consists of 10 object state categories: open, close, in-hand, out-of-hand, whole, cut, raw, cooked, peeled, unpeeled. EPIC-STATES consists of 14,346 object bounding boxes from the EPIC-KITCHENS dataset (2018 version), each labeled with 10 binary labe... | Provide a detailed description of the following dataset: EPIC-STATES |
EPIC-ROI | EPIC-ROI builds on top of the EPIC-KITCHENS dataset, and consists of 103 diverse images with pixel-level annotations for regions where human hands frequently touch in everyday interaction. Specifically, image regions that afford any of the most frequent actions: take, open, close, press, dry, turn, peel are considered ... | Provide a detailed description of the following dataset: EPIC-ROI |
Reddit Ideology Database | Dataset with articles posted in the r/Liberal and r/Conservative subreddits. In total, we collected a corpus of 226,010 articles. We have collected news articles to understand political expression through the shared news articles. | Provide a detailed description of the following dataset: Reddit Ideology Database |
Graph dataset MOLT-4 | Dataset introduced by Xifeng Yan et al.
in: SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, June 2008, Pages 433–444, https://doi.org/10.1145/1376616.1376662
The dataset is now hosted by TUD.
The dataset consists of small molecules activities against Leukemia tumo... | Provide a detailed description of the following dataset: Graph dataset MOLT-4 |
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