FQL-driving

FQL-driving

FlyingThings3D is a synthetic dataset for optical flow, disparity and scene flow estimation. It consists of everyday objects flying along …

Multi-view Emotional Audio-visual Dataset

Music21 is an untrimmed video dataset crawled by keyword query from Youtube. It contains music performances belonging to 21 categories. …

ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges. Its knowledge is collected …

COCO-WholeBody is an extension of COCO dataset with whole-body annotations. There are 4 types of bounding boxes (person box, face …

Human-Art is a versatile human-centric dataset to bridge the gap between natural and artificial scenes. It includes twenty high-quality human …

This dataset focuses on heavily occluded human with comprehensive annotations including bounding-box, humans pose and instance mask. This dataset contains …

CeyMo is a novel benchmark dataset for road marking detection which covers a wide variety of challenging urban, sub-urban and …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

DUO is a dataset for Underwater object detection for robot picking. The dataset contains a collection of diverse underwater images …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

The DroneVehicle dataset consists of a total of 56,878 images collected by the drone, half of which are RGB images, …

Paper: GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery Authors: Bohao Huang, Jichen Yang, Artem Streltsov, …

The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 …

With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras. …

RADIATE (RAdar Dataset In Adverse weaThEr) is new automotive dataset created by Heriot-Watt University which includes Radar, Lidar, Stereo Camera …

The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set …

Automating the creation of catalogues for radio galaxies in next-generation deep surveys necessitates the identification of components within extended sources …

The SARDet-100K dataset encompasses a total of 116,598 images, and 245,653 instances distributed across six categories: Aircraft, Ship, Car, Bridge, …

TRR360D is based on the ICDAR2019MTD modern table detection dataset, it refers to the annotation format of the DOTA dataset. …

UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images

UAVDB is a high-resolution RGB video dataset meticulously designed for UAV detection tasks across diverse scales and complex backgrounds. Comprising …

4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of …

Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing …

The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large …

Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of …

Desert Locus is a animal pose estimation dataset for desert locuses.

We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, …

The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …

The first large-scale pose dataset containing objects of multiple super-categories, termed Multi-category Pose (MP-100). In total, MP-100 dataset covers 100 …

MacaquePose is an animal pose estimation dataset containing pictures of macaque monkeys and manually labeled annotations on them.

Vinegar Fly is a pose estimation dataset for fruit flies.

Description: The "iRodent" dataset contains rodent species observations obtained using the iNaturalist API, with a focus on Suborder Myomorpha (Taxon …

CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with …

Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen. Usage: 2D/3D image …

A Multi-Task 4D Radar-Camera Fusion Dataset for Autonomous Driving on Water Surfaces description of the dataset * WaterScenes, the first …

WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution …

The xBD dataset contains over 45,000KM2 of polygon labeled pre and post disaster imagery. The dataset provides the post-disaster imagery …

CaDIS: a Cataract Dataset for Image Segmentation is a dataset for semantic segmentation created by Digital Surgery Ltd. on top …

The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …

Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …

NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …

Real 3D-AD is the first point cloud anomaly detection dataset for industrial products. Real3D-AD comprises a total of 1,254 samples …

DeepCAD is a CAD dataset consisting of 179,133 models and their CAD construction sequences. It can be used to train …

3D hand pose data set created using stereo camera - contains 18,000 RGB images and paired depth images - 3D …

This dataset supports the research detailed in the pre-print "Virtual Imaging Trials Improved the Transparency and Reliability of AI Systems …

Relative Human (RH) contains multi-person in-the-wild RGB images with rich human annotations, including: Depth layers: relative depth relationship/ordering between all …

We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, …

BIWI 3D corpus comprises a total of 1109 sentences uttered by 14 native English speakers (6 males and 8 females). …

VOCASET is a 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio. …

A dataset for voice and 3D face structure study. It contains about 1.4K identities with their 3D face models and …

AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is …

The Florence 3D faces dataset consists of: * High-resolution 3D scans of human faces from many subjects. * Several video …

The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D …

The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

DexYCB is a dataset for capturing hand grasping of objects. It can be used three relevant tasks: 2D object and …

FreiHAND is a 3D hand pose dataset which records different hand actions performed by 32 people. For each hand image, …

Human3.6M 3D WholeBody (H3WB) is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by …

The HInt dataset is frequently used as a generalizability benchmark for 3D Hand Reconstruction. It features three data subsets: HInt-NewDays, …

A hand-object interaction dataset with 3D pose annotations of hand and object. The dataset contains 66,034 training images and 11,524 …

The HO-3D v3 is the version 3 of the HO-3D dataset with more accurate hand-object poses. HO-3D v3 provides more …

The InterHand2.6M dataset is a large-scale real-captured dataset with accurate GT 3D interacting hand poses, used for 3D hand pose …

The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation. …

AGORA is a synthetic human dataset with high realism and accurate ground truth. It consists of around 14K training and …

AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music. The AIST++ Dance …

DHP19 is the first human pose dataset with data collected from DVS event cameras. It has recordings from 4 synchronized …

EMDB contains in-the-wild videos of human activity recorded with a hand-held iPhone. It features reference SMPL body pose and shape …

Human3.6M 3D WholeBody (H3WB) is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by …

HSPACE (Human-SPACE) is a large-scale photo-realistic dataset of animated humans placed in complex synthetic indoor and outdoor environments. For all …

The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …

JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame. It is up to now …

MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes. It records …

CMU Panoptic is a large scale dataset providing 3D pose annotations (1.5 millions) for multiple people engaging social activities. It …

Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object …

SLOPER4D is a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation …

UBody is a large-scale Upper-Body dataset with the following annotations: * 2D whole-body keypoints * 3D SMPLX annotations * Frame …

The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …

Contains mitochondria instances. Source: MitoEM

PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset …

The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …

Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …

ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …

ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …

The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …

SceneNN is an RGB-D scene dataset consisting of more than 100 indoor scenes. The scenes are captured at various places, …

The InterHand2.6M dataset is a large-scale real-captured dataset with accurate GT 3D interacting hand poses, used for 3D hand pose …

The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …

The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have …

AGORA is a synthetic human dataset with high realism and accurate ground truth. It consists of around 14K training and …

MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …

CMU Panoptic is a large scale dataset providing 3D pose annotations (1.5 millions) for multiple people engaging social activities. It …

MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …

MuPoTs-3D (Multi-person Pose estimation Test Set in 3D) is a dataset for pose estimation composed of more than 8,000 frames …

Objaverse is a large dataset of objects with 800K+ (and growing) 3D models with descriptive captions, tags, and animations. Objaverse …

A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps. Each scene includes …

ARKitScenes is an RGB-D dataset captured with the widely available Apple LiDAR scanner. Along with the per-frame raw data (Wide …

A small-scale, real-world Project Aria dataset with high quality static 3D oriented bounding boxs annotations. Dataset Contents - Project Aria …

[1]: https://www.projectaria.com/datasets/ase/ "" [2]: https://facebookresearch.github.io/projectaria_tools/docs/open_datasets/aria_synthetic_environments_dataset "" [3]: https://www.projectaria.com/research/ "" Aria Synthetic Environments is a large-scale, fully simulated dataset created by …

Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

DAIR-V2X is a large-scale, multi-modality, multi-view dataset from real scenarios for VICAD. DAIR-V2X comprises 71254 LiDAR frames and 71254 Camera …

Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR? We introduce DTTD-Mobile …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 …

We introduce MultiScan, a scalable RGBD dataset construction pipeline leveraging commodity mobile devices to scan indoor scenes with articulated objects …

ONCE (One millioN sCenEs) is a dataset for 3D object detection in the autonomous driving scenario. The ONCE dataset consists …

OPV2V is a large-scale open simulated dataset for Vehicle-to-Vehicle perception. It contains over 70 interesting scenes, 11,464 frames, and 232,913 …

Roadside Perception 3D (Rope3D) is a dataset for autonomous driving and monocular 3D object detection task consisting of 50k images …

The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …

ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …

The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …

Autonomous trucking is a promising technology that can greatly impact modern logistics and the environment. Ensuring its safety on public …

V2X-Sim, short for vehicle-to-everything simulation, is the a synthetic collaborative perception dataset in autonomous driving developed by AI4CE Lab at …

A large-scale V2X perception dataset using CARLA and OpenCDA

The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …

aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception. The dataset consists of 176 scenes with …

The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have …

BEHAVE is a full body human-object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along …

ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …

The Robot Tracking Benchmark (RTB) is a synthetic dataset that facilitates the quantitative evaluation of 3D tracking algorithms for multi-body …

The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …

The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …

Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …

The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …

IntrA is an open-access 3D intracranial aneurysm dataset that makes the application of points-based and mesh-based classification and segmentation models …

ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition. We create ModelNet40-C based on …

ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point …

This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD …

Dynamic Human Bodies dataset (DHB), containing 10 point cloud sequences from the MITAMA dataset and 4 from the 8IVFB dataset. …

A challenging multi-frame interpolation dataset for autonomous driving scenarios. Based on the principle of hard-sample selection and the diversity of …

ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, …

The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding …

Includes 100K depth images under challenging scenarios. Source: Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning

The 300-W is a face dataset that consists of 300 Indoor and 300 Outdoor in-the-wild images. It covers a large …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation. Dataset Content - 200 sequences (~400 mins) - 398 …

[1]: https://www.projectaria.com/datasets/ase/ "" [2]: https://facebookresearch.github.io/projectaria_tools/docs/open_datasets/aria_synthetic_environments_dataset "" [3]: https://www.projectaria.com/research/ "" Aria Synthetic Environments is a large-scale, fully simulated dataset created by …

DTU MVS 2014 is a multi-view stereo dataset, which is an order of magnitude larger in number of scenes and …

Scan2CAD is an alignment dataset based on 1506 ScanNet scans with 97607 annotated keypoints pairs between 14225 (3049 unique) CAD …

ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …

ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …

3DSSG provides 3D semantic scene graphs for 3RScan. A semantic scene graph is defined by a set of tuples between …

KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …

The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both …

PRO-teXt is an extension of PROXD with the inclusion of text prompts to synthesize objects. There are 180/20 interactions for …

SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …

We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over …

ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research …

For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. …

KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …

OpenTrench3D, the first publicly available point cloud dataset of underground utilities from open trenches. It features 310 fully annotated point …

PartNet is a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information. The dataset …

The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …

Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for …

ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, …

The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene …

ScribbleKITTI is a scribble-annotated dataset for LiDAR semantic segmentation.

SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …

The SensatUrbat dataset is an urban-scale photogrammetric point cloud dataset with nearly three billion richly annotated points, which is five …

Toronto-3D is a large-scale urban outdoor point cloud dataset acquired by an MLS system in Toronto, Canada for semantic segmentation. …

The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver …

WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution …

The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

The Pix3D dataset is a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of …

EgoBody dataset is a novel large-scale dataset for egocentric 3D human pose, shape and motions under interactions in complex 3D …

Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of …

SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation. It is derived from the KITTI Vision Odometry Benchmark …

Dataset consist of both real captures from Photoneo PhoXi structured light scanner devices annotated by hand and synthetic samples produced …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR? We introduce DTTD-Mobile …

Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and …

The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation. provides accurate 6D poses of 21 objects …

Benchmark for AMR Metrics based on Overt Objectives (Bamboo), the first benchmark to support empirical assessment of graph-based MR similarity …

This corpus includes annotations of cancer-related PubMed articles, covering 3 full papers (PMID:24651010, PMID:11777939, PMID:15630473) as well as the result …

Abstract Meaning Representation (AMR) Annotation Release 2.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University …

Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University …

New3, a set of 527 instances from AMR 3.0, whose original source was the LORELEI DARPA project – not included …

This corpus is an annotation of the novel The Little Prince by Antoine de Saint-Exupéry, published in 1943. We were …

UBI-Fights - Concerning a specific anomaly detection and still providing a wide diversity in fighting scenarios, the UBI-Fights dataset is …

The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd …

To study the task of email subject line generation: automatically generating an email subject line from the email body. Source: …

CNN/Daily Mail is a dataset for text summarization. Human generated abstractive summary bullets were generated from news stories in CNN …

WikiHow is a dataset of more than 230,000 article and summary pairs extracted and constructed from an online knowledge base …

CochlScene is a dataset for acoustic scene classification. The dataset consists of 76k samples collected from 831 participants in 13 …

TAU Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport Indoor shopping …

TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: airport, indoor shopping mall, …

The TUT Acoustic Scenes 2017 dataset is a collection of recordings from various acoustic scenes all from distinct locations. For …

The dataset for this task is the TUT Urban Acoustic Scenes 2018 dataset, consisting of recordings from various acoustic scenes. …

Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …

Extended GTEA Gaze+ EGTEA Gaze+ is a large-scale dataset for FPV actions and gaze. It subsumes GTEA Gaze+ and comes …

This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …

EgoExoLearn is a fascinating dataset designed to bridge the gap between egocentric and exocentric views of procedural activities. 1. **What …

The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …

Spatio-temporal action detection is an important and challenging problem in video understanding. The existing action detection benchmarks are limited in …

The MultiTHUMOS dataset contains dense, multilabel, frame-level action annotations for 30 hours across 400 videos in the THUMOS'14 action detection …

Toyota Smarthome Untrimmed (TSU) is a dataset for activity detection in long untrimmed videos. The dataset contains 536 videos with …

This task offers researchers an opportunity to test their fine-grained classification methods for detecting and recognizing strokes in table tennis …

TTStroke-21 for MediaEval 2022. The task is of interest to researchers in the areas of machine learning (classification), visual content …

The UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

JerichoWorld is a dataset that enables the creation of learning agents that can build knowledge graph-based world models of interactive …

Consists of 1106 action samples from seven actions with quality scores as measured by expert human judges. Source: [Action Quality …

EgoExoLearn is a fascinating dataset designed to bridge the gap between egocentric and exocentric views of procedural activities. 1. **What …

We construct a fine-grained video dataset organized by both semantic and temporal structures, where each structure contains two-level annotations. * …

The JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) is a surgical activity dataset for human motion modeling. The data …

A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains …

The Rhythmic Gymnastics dataset contains videos of four different types of gymnastics routines: ball, clubs, hoop and ribbon. Each type …

UI-PRMD is a data set of movements related to common exercises performed by patients in physical therapy and rehabilitation programs. …

The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …

Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of …

Biased Action Recognition (BAR) dataset is a real-world image dataset categorized as six action classes which are biased to distinct …

The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving …

Contains 68,536 activity instances in 68.8 hours of first and third-person video, making it one of the largest and most …

Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions. Source: [A Low Power, Fully Event-Based Gesture Recognition …

Website: https://asankagp.github.io/droneaction/

This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …

The EPIC-KITCHENS-55 dataset comprises a set of 432 egocentric videos recorded by 32 participants in their kitchens at 60fps with …

The EgoGesture dataset contains 2,081 RGB-D videos, 24,161 gesture samples and 2,953,224 frames from 50 distinct subjects. Source: http://www.nlpr.ia.ac.cn/iva/yfzhang/datasets/egogesture.html Image …

We present a comprehensive framework for egocentric interaction recognition using markerless 3D annotations of two hands manipulating objects. To this …

HAA500 is a manually annotated human-centric atomic action dataset for action recognition on 500 classes with over 591k labeled frames. …

HACS is a dataset for human action recognition. It uses a taxonomy of 200 action classes, which is identical to …

The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos. The dataset …

IndustReal is an ego-centric, multi-modal dataset where 27 participants are challenged to perform assembly and maintenance procedures on a construction-toy …

Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a …

The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings. The MECCANO dataset …

A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

The Multiview 3D event dataset is capture by me and Xiaohan Nie in UCLA. it contains RGB, depth and human …

NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …

NTU RGB+D 120 is a large-scale dataset for RGB+D human action recognition, which is collected from 106 distinct subjects and …

A new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 12 …

The Penn Action Dataset contains 2326 video sequences of 15 different actions and human joint annotations for each sequence. Source: …

RareAct is a video dataset of unusual actions, including actions like “blend phone”, “cut keyboard” and “microwave shoes”. It aims …

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation. It …

A dataset derived from the recently introduced Mimetics dataset. Source: Quo Vadis, Skeleton Action Recognition ?

The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday …

The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …

The Sports-1M dataset consists of over a million videos from YouTube. The videos in the dataset can be obtained through …

The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for …

UAV-Human is a large dataset for human behavior understanding with UAVs. It contains 67,428 multi-modal video sequences and 119 subjects …

UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …

The UTD-MHAD dataset consists of 27 different actions performed by 8 subjects. Each subject repeated the action for 4 times, …

Volleyball is a video action recognition dataset. It has 4830 annotated frames that were handpicked from 55 videos with 9 …

First of its kind paired win-fail action understanding dataset with samples from the following domains: “General Stunts,” “Internet Wins-Fails,” “Trick …

The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. …

Jester Gesture Recognition dataset includes 148,092 labeled video clips of humans performing basic, pre-defined hand gestures in front of a …

The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The 480K …

NTU RGB+D is a large-scale dataset for RGB-D human action recognition. It involves 56,880 samples of 60 action classes collected …

The PKU-MMD dataset is a large skeleton-based action detection dataset. It contains 1076 long untrimmed video sequences performed by 66 …

The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday …

The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with …

The Sports-1M dataset consists of over a million videos from YouTube. The videos in the dataset can be obtained through …

UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These …

Activity recognition research has shifted focus from distinguishing full-body motion patterns to recognizing complex interactions of multiple entities. Manipulative gestures …

Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants …

The Breakfast Actions Dataset comprises of 10 actions related to breakfast preparation, performed by 52 different individuals in 18 different …

The COIN dataset (a large-scale dataset for COmprehensive INstructional video analysis) consists of 11,827 videos related to 180 different tasks …

The Georgia Tech Egocentric Activities (GTEA) dataset contains seven types of daily activities such as making sandwich, tea, or coffee. …

The JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) is a surgical activity dataset for human motion modeling. The data …

A dataset which provides detailed annotations for activity recognition. Source: [Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script …

We address the problem of automatically learning the main steps to complete a certain task, such as changing a car …

First of its kind paired win-fail action understanding dataset with samples from the following domains: “General Stunts,” “Internet Wins-Fails,” “Trick …

LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of …

The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the cocktail party effect from an augmented-reality …

Contains densely labeled speech activity in YouTube videos, with the goal of creating a shared, available dataset for this task. …

A database with 2,000 videos captured by surveillance cameras in real-world scenes. Source: [RWF-2000: An Open Large Scale Video Database …

The Stanford 40 Action Dataset contains images of humans performing 40 actions. In each image, we provide a bounding box …

Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).

Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).

Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).

The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content …

The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

WSJ0-2mix is a speech recognition corpus of speech mixtures using utterances from the Wall Street Journal (WSJ0) corpus. Source: [Deep …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

Adversarial GLUE (AdvGLUE) is a new multi-task benchmark to quantitatively and thoroughly explore and evaluate the vulnerabilities of modern large-scale …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …

The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models. Source: [On Robustness …

ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set. …

The Stylized-ImageNet dataset is created by removing local texture cues in ImageNet while retaining global shape information on natural images …

3D AffordanceNet is a dataset of 23k shapes for visual affordance. It consists of 56,307 well-defined affordance information annotations for …

HICO-DET is a dataset for detecting human-object interactions (HOI) in images. It contains 47,776 images (38,118 in train set and …

Although research on author profiling has quite progressed in abundant resources languages, it is still infancy for limited resources languages …

The Asian Face Age Dataset (AFAD) is a new dataset proposed for evaluating the performance of age estimation, which contains …

AgeDB contains 16, 488 images of various famous people, such as actors/actresses, writers, scientists, politicians, etc. Every image is annotated …

The Cross-Age Celebrity Dataset (CACD) contains 163,446 images from 2,000 celebrities collected from the Internet. The images are collected from …

We have cleaned the noisy IMDB-WIKI dataset using a constrained clustering method, resulting this new benchmark for in-the-wild age estimation. …

KANFace consists of 40K still images and 44K sequences (14.5M video frames in total) captured in unconstrained, real-world conditions from …

The LAGENDA dataset is a large-scale dataset with age and gender annotations for face and body bounding boxes. The dataset …

MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 …

The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The …

Matanga Darknet — 2025 Access Guide As internet censorship intensifies, Shadow Marketplaces remain crucial tools for anonymous transactions. Matanga Darknet …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

WN18RR is a link prediction dataset created from WN18, which is a subset of WordNet. WN18 consists of 18 relations …

AP-10K is the first large-scale benchmark for general animal pose estimation, to facilitate the research in animal pose estimation. AP-10K …

Animal-Pose Dataset is an animal pose dataset to facilitate training and evaluation. This dataset provides animal pose annotations on five …

Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many …

Schools of inland silversides (Menidia beryllina, n=14 individuals per school) were recorded in the Lauder Lab at Harvard University while …

Horse-10 is an animal pose estimation dataset. It comprises 30 diverse Thoroughbred horses, for which 22 body parts were labeled …

All animal procedures are overseen by veterinary staff of the MIT and Broad Institute Department of Comparative Medicine, in compliance …

An 'in the wild' dataset of 20,580 dog images for which 2D joint and silhouette annotations were collected. Source: [Who …

Three wild-type (C57BL/6J) male mice ran on a paper spool following odor trails (Mathis et al 2018). These experiments were …

The GoodsAD dataset contains 6124 images with 6 categories of common supermarket goods. Each category contains multiple goods. All images …

MVTec-AC is a curated refinement of the widely-used MVTec-AD dataset, specifically designed for anomaly classification—distinguishing between different types of anomalies …

MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. It contains over 5000 …

The VisA dataset contains 12 subsets corresponding to 12 different objects as shown in the above figure. There are 10,821 …

VisA-AC is a refined benchmark based on the VisA dataset, tailored for the task of anomaly classification—distinguishing between different types …

Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multisite study that aims to improve clinical trials for the prevention and treatment …

AG News (AG’s News Corpus) is a subdataset of AG's corpus of news articles constructed by assembling titles and description …

The BTAD ( beanTech Anomaly Detection) dataset is a real-world industrial anomaly dataset. The dataset contains a total of 2830 …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

COCO-OOC goes beyond standard object detection to ask the question: Which objects are out-of-context (OOC)? Given an image with a …

Avenue Dataset contains 16 training and 21 testing video clips. The videos are captured in CUHK campus avenue with 30652 …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …

Fishyscapes is a public benchmark for uncertainty estimation in a real-world task of semantic segmentation for urban driving. It evaluates …

Predicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given …

HyperKvasir dataset contains 110,079 images and 374 videos where it captures anatomical landmarks and pathological and normal findings. A total …

An abnormal activity data-set for research use that contains 4,83,566 annotated frames. Source: [Multi-timescale Trajectory Prediction for Abnormal Human Activity …

The Industrial Textile Defect Detection (ITDD) dataset includes 1885 industrial textile images categorized into 4 categories: cotton fabric, dyed fabric, …

InsPLAD is a Dataset for Power Line Asset Inspection containing 10,607 high-resolution Unmanned Aerial Vehicles colour images. It contains 17 …

This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held …

The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred …

Includes 5,824 fundus images labeled with either positive glaucoma (2,392) or negative glaucoma (3,432). Source: [Attention Based Glaucoma Detection: A …

Lost and Found is a novel lost-cargo image sequence dataset comprising more than two thousand frames with pixelwise annotations of …

The MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

MPDD is a dataset aimed at benchmarking visual defect detection methods in industrial metal parts manufacturing. It consists of more …

MVTec 3D Anomaly Detection Dataset (MVTec 3D-AD) is a comprehensive 3D dataset for the task of unsupervised anomaly detection and …

MVTec Logical Constraints Anomaly Detection (MVTec LOCO AD) dataset is intended for the evaluation of unsupervised anomaly localization algorithms. The …

The Musk dataset describes a set of molecules, and the objective is to detect musks from non-musks. This dataset describes …

Outliers or anomalies are instances that do not conform to the norm of a dataset. Outlier detection is an important …

Multi-pose Anomaly Detection (MAD) dataset, which represents the first attempt to evaluate the performance of pose-agnostic anomaly detection. The MAD …

This dataset contains images of unusual dangers which can be encountered by a vehicle on the road – animals, rocks, …

a dataset of time-series anomaly detection

Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits …

The Shanghaitech dataset is a large-scale crowd counting dataset. It consists of 1198 annotated crowd images. The dataset is divided …

The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles. It contains 130 abnormal events and …

Street Scene is a dataset for video anomaly detection. Street Scene consists of 46 training and 35 testing high resolution …

The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of …

Thyroid is a dataset for detection of thyroid diseases, in which patients diagnosed with hypothyroid or subnormal are anomalies against …

UBnormal is a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection. Unlike existing data sets, …

The UCF-Crime dataset is a large-scale dataset of 128 hours of videos. It consists of 1900 long and untrimmed real-world …

The UCR Anomaly Archive is a collection of 250 uni-variate time series collected in human medicine, biology, meteorology and industry. …

The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The crowd …

Five datasets used in NeurTraL-AD paper: \textit{RacketSports (RS).} Accelerometer and gyroscope recording of players playing four different racket sports. Each …

The code to create the dataset is available here. The dataset used in the paper is available on github - …

The VisA dataset contains 12 subsets corresponding to 12 different objects as shown in the above figure. There are 10,821 …

WFDD is a dataset for benchmarking anomaly detection methods with a focus on textile inspection. It includes 4101 woven fabric …

voraus-AD contains machine data of a collaborative robot, which moves a can by performing an industrial pick-and-place task. The samples …

The dataset is a private dataset collected for automatic analysis of psychological distress. It contains self-reported distress labels provided by …

The CATT benchmark dataset comprises 742 sentences, which were scraped from an internet news source in 2023. It covers multiple …

GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. …

Game of 24 is a mathematical reasoning challenge, where the goal is to use 4 numbers and basic arithmetic operations …

Existing arithmetic benchmarks have a limited number of multiple-choice questions. To address this gap, MathMC is created including 1,000 Chinese …

Existing arithmetic benchmarks have a limited number of True-or-False questions. To address this gap, MathToF is created including 1,000 Chinese …

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of …

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of …

Most of the aspect based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while …

Aspect-based sentiment analysis (ABSA) typically focuses on extracting aspects and predicting their sentiments on individual sentences such as customer reviews. …

Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which …

MAMS is a challenge dataset for aspect-based sentiment analysis (ABSA), in which each sentences contain at least two aspects with …

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of …

Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by continuous words), aspects and sentiment polarities in …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

Rendered synthetically using a library of standard 3D objects, and tests the ability to recognize compositions of object movements that …

The CHILI-100K dataset is a large-scale graph dataset (with overall >183M nodes, >1.2B edges) of nanomaterials generated from experimentally determined …

The CHILI-3K dataset is a medium-scale graph dataset (with overall >6M nodes, >49M edges) of mono-metallic oxide nanomaterials generated from …

This dataset is a real-world web page collection used for research on the automatic extraction of structured data (e.g., attribute-value …

The dataset contains product information from AliExpress Sports & Entertainment category. Each attribute value in "Item Specific" is matched against …

The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It …

The dataset contains Amazon products from 10 product categories with full human annotations. The dataset was collected in 2021. The …

The dataset contains product information from AliExpress Sports & Entertainment category. Each attribute value in "Item Specific" is matched against …

The dataset contains 3 million attribute-value annotations across 1257 unique categories created from 2.2 million cleaned Amazon product profiles. It …

The dataset contains Amazon products from 10 product categories with full human annotations. The dataset was collected in 2021. The …

The datasets contains 1,420 human annotated product offers, systematically selected from the Web Data Commons Product Matching Corpus, featuring 24,582 …

Audioset is an audio event dataset, which consists of over 2M human-annotated 10-second video clips. These clips are collected from …

CREMA-D is an emotional multimodal actor data set of 7,442 original clips from 91 actors. These clips were from 48 …

DEEP-VOICE: Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion This dataset contains examples of real human speech, and …

This paper introduces the pipeline to scale the largest dataset in egocentric vision EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a …

EPIC-SOUNDS is a large scale dataset of audio annotations capturing temporal extents and class labels within the audio stream of …

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. …

Freesound Dataset 50k (or FSD50K for short) is an open dataset of human-labeled sound events containing 51,197 Freesound clips unequally …

The Respiratory Sound database was originally compiled to support the scientific challenge organized at Int. Conf. on Biomedical Health Informatics …

A large-scale reference dataset for bioacoustics. MeerKAT is a 1068h large-scale dataset containing data from audio-recording collars worn by free-ranging …

Dataset for multimodal skills assessment focusing on assessing piano player’s skill level. Annotations include player's skills level, and song difficulty …

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7,356 files (total size: 24.8 GB). The database contains …

The Spiking Heidelberg Digits (SHD) dataset is an audio-based classification dataset of 1k spoken digits ranging from zero to nine …

The SSC dataset is a spiking version of the Speech Commands dataset release by Google (Speech Commands). SSC was generated …

Speech Commands is an audio dataset of spoken words designed to help train and evaluate keyword spotting systems .

The UCR Time Series Archive - introduced in 2002, has become an important resource in the time series data mining …

VocalSound is a free dataset consisting of 21,024 crowdsourced recordings of laughter, sighs, coughs, throat clearing, sneezes, and sniffs from …

AudioCaps is a dataset of sounds with event descriptions that was introduced for the task of audio captioning, with sounds …

Audioset is an audio event dataset, which consists of over 2M human-annotated 10-second video clips. These clips are collected from …

The dsd100 is a dataset of 100 full lengths of music tracks of different styles along with their isolated drums, …

Audioset is an audio event dataset, which consists of over 2M human-annotated 10-second video clips. These clips are collected from …

AudioCaps is a dataset of sounds with event descriptions that was introduced for the task of audio captioning, with sounds …

Clotho is an audio captioning dataset, consisting of 4981 audio samples, and each audio sample has five captions (a total …

The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences …

LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of …

The large-scale MUSIC-AVQA dataset of musical performance contains 45,867 question-answer pairs, distributed in 9,288 videos for over 150 hours. All …

These data are the results of a chemical analysis of wines grown in the same region in Italy but derived …

There are eight essay sets. Each of the sets of essays was generated from a single prompt. Selected essays range …

ISRUC-Sleep is a polysomnographic (PSG) dataset. The data were obtained from human adults, including healthy subjects, and subjects with sleep …

The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also …

The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences …

LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of …

The Audio Signal and Information Processing Lab at Westlake University, in collaboration with AISHELL, has released the Real-recorded and annotated …

Speech Recognition Dataset for Oromo Language. 📊 Key features of Sagalee: 100 hours of read speech. 283 gender balanced …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

ASAP is a dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical …

This data set includes beat and bar annotations of the ballroom dataset, introduced by Gouyon et al. [1]. [1] Gouyon …

This dataset includes the beat and downbeat annotations for Beatles albums. The annotations are provided by M. E. P. Davies …

35 recordings of Candombe music with beat and downbeat annotations.

48 multitrack jazz recordings with many annotations.

The gtzan8 audio dataset contains 1000 tracks of 30 second length. There are 10 genres, each containing 100 tracks which …

The Groove MIDI Dataset (GMD) is composed of 13.6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive …

GuitarSet is a dataset of high-quality guitar recordings and rich annotations. It contains 360 excerpts 30 seconds in length. The …

J. Hockman, M. E. Davies, and I. Fujinaga, “One in the jungle: Downbeat detection in hardcore, jungle, and drum and …

S. W. Hainsworth and M. D. Macleod, “Particle filtering applied to musical tempo tracking,” EURASIP Journal on Advances in Signal …

Beats, downbeats, and functional structural annotations for 912 Pop tracks. Nieto, O., McCallum, M., Davies., M., Robertson, A., Stark, A., …

Eremenko, E. Demirel, B. Bozkurt, and X. Serra, “Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research,” in …

F. Gouyon, “A computational approach to rhythm description — Audio features for the computation of rhythm periodicity functions and their …

A. Holzapfel, M. E. Davies, J. R. Zapata, J. L. Oliveira, and F. Gouyon, “Selective sampling for beat tracking evaluation,” …

J. Driedger, H. Schreiber, W. B. de Haas, and M. Müller, “Towards automatically correcting tapped beat annotations for music recordings.” …

A new multilingual language model benchmark that is composed of 40+ languages spanning several scripts and linguistic families containing round …

A large-scale natural dataset in English to measure stereotypical biases in four domains: gender, profession, race, and religion. Source: [StereoSet: …

The Innodata Red Teaming Prompts aims to rigorously assess models’ factuality and safety. This dataset, due to its manual creation …

The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of …

[Real or Fake] : Fake Job Description Prediction This dataset contains 18K job descriptions out of which about 800 are …

Kickstarter is a community of more than 10 million people comprising of creative, tech enthusiasts who help in bringing creative …

Don’t Patronize Me! (DPM) is an annotated dataset with Patronizing and Condescending Language towards vulnerable communities.

The TweepFake dataset consists of 25,572 social media messages posted either by bots or humans on Twitter. Each bot imitated …

The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a …

The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in …

The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution. Source: [IntroVAE: Introspective …

The LFW dataset contains 13,233 images of faces collected from the web. This dataset consists of the 5749 identities with …

WIDER is a dataset for complex event recognition from static images. As of v0.1, it contains 61 event categories and …

The Medical Information Mart for Intensive Care III (MIMIC-III) dataset is a large, de-identified and publicly-available collection of medical records. …

CoAuthor is a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing. CoAuthor captures rich interactions between …

The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …

RoFT is a dataset of 21,000 human annotations of generated text. The task is "Boundary detection" i.e. given a passage …

RoFT-chatgpt is a variation of RoFT dataset, where the same human prompts are continued with the gpt-3.5-turbo model. Each dataset …

UruDendro is a database of wood cross section images of commercially grown Pinus taeda trees from northern Uruguay. It is …

Prediction of Finger Flexion IV Brain-Computer Interface Data Competition The goal of this dataset is to predict the flexion of …

Electrophysiological data from implanted electrodes in the human brain are rare, and therefore scientific access to it has remained somewhat …

The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 9,109 microscopic images of breast tumor tissue collected from 82 …

PatchCamelyon is an image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of …

CARLA (CAR Learning to Act) is an open simulator for urban driving, developed as an open-source layer over Unreal Engine …

CCGbank is a translation of the Penn Treebank into a corpus of Combinatory Categorial Grammar derivations. It pairs syntactic derivations …

Under a close collaboration with an expert radiologist team of the Hospital Universitario San Cecilio, the COVIDGR-1.0 dataset of patients' …

COVIDx CXR-3 is an open access benchmark dataset that we generated, comprising 30,882 CXR images across 17,026 patient cases. Images …

"We built a large lung CT scan dataset for COVID-19 by curating data from 7 public datasets listed in the …

The temporal variability in calving front positions of marine-terminating glaciers permits inference on the frontal ablation. Frontal ablation, the sum …

The odometry benchmark consists of 22 stereo sequences, saved in loss less png format: We provide 11 sequences (00-10) with …

Camouflaged Object (CAMO) dataset specifically designed for the task of camouflaged object segmentation. We focus on two categories, i.e., naturally …

The nine (moving camera) videos in this benchmark exhibit camouflaged animals that are difficult to see in a single frame, …

The original Moving Camouflaged Animals (MoCA) Dataset includes 37K frames from 141 YouTube Video sequences with resolution and sampling rate …

As far as we know, there only exists one large camouflaged object testing dataset, the COD10K, while the sizes of …

The dataset contains multi-omics data, incuding mRNA, miRNA, and DNA methylation. The dataset comprises 8,464 samples involving 2,794 omics features …

The Infant Health and Development Program (IHDP) is a randomized controlled study designed to evaluate the effect of home visit …

The Jobs dataset by LaLonde [36] is a widely used benchmark in the causal inference community, where the treatment is …

HeLa cells on a flat glass Dr. G. van Cappellen. Erasmus Medical Center, Rotterdam, The Netherlands

MDA231 human breast carcinoma cells infected with a pMSCV vector including the GFP sequence, embedded in a collagen matrix Dr. …

GFP-GOWT1 mouse stem cells Dr. E. Bártová. Institute of Biophysics, Academy of Sciences of the Czech Republic, Brno, Czech Republic

Simulated nuclei of HL60 cells stained with Hoescht Dr. V. Ulman and Dr. D. Svoboda. Centre for Biomedical Image Analysis …

HeLa cells stably expressing H2b-GFP Mitocheck Consortium

Glioblastoma-astrocytoma U373 cells on a polyacrylamide substrate Dr. S. Kumar. Department of Bioengineering, University of California at Berkeley, Berkeley CA …

The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …

Source: CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

The CLCD dataset consists of 600 pairs image of cropland change samples, with 360 pairs for training, 120 pairs for …

ChangeSim is a dataset aimed at online scene change detection (SCD) and more. The data is collected in photo-realistic simulation …

The dataset is manually collected from Google Earth. It consists of six large bi-temporal high resolution images covering six cities …

Bi-temporal images in the EGY-BCD dataset are taken from 4 different regions located in Egypt, including New Mansoura, El Galala …

For change detection tasks, current open-source datasets mainly focus on building extraction (e.g., WHU building dataset and LEVIR-CD dataset) (Chen …

LEVIR-CD is a new large-scale remote sensing building Change Detection dataset. The introduced dataset would be a new benchmark for …

The Arabic dataset is scraped mainly from الموسوعة الشعرية and الديوان. After merging both, the total number of verses is …

S2Looking is a building change detection dataset that contains large-scale side-looking satellite images captured at varying off-nadir angles. The S2Looking …

SECOND is a well-annotated semantic change detection dataset. To ensure data diversity, we firstly collect 4662 pairs of aerial images …

We manually edited an aerial and a satellite imagery dataset of building samples and named it a WHU building dataset. …

SKAB is designed for evaluating algorithms for anomaly detection. The benchmark currently includes 30+ datasets plus Python modules for algorithms’ …

The time series segmentation benchmark (TSSB) currently contains 75 annotated time series (TS) with 1-9 segments. Each TS is constructed …

Charts are very popular for analyzing data. When exploring charts, people often ask a variety of complex reasoning questions that …

PlotQA is a VQA dataset with 28.9 million question-answer pairs grounded over 224,377 plots on data from real-world sources and …

RealCQA Scientific Chart Question Answering as a Test-bed for First-Order Logic check on huggingface : https://huggingface.co/datasets/sal4ahm/RealCQA

The AlpacaEval set contains 805 instructions form self-instruct, open-assistant, vicuna, koala, hh-rlhf. Those were selected so that the AlpacaEval ranking …

The English Penn Treebank (PTB) corpus, and in particular the section of the corpus corresponding to the articles of Wall …

HiRID is a freely accessible critical care dataset containing data relating to almost 34 thousand patient admissions to the Department …

Data Set Information: Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records …

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect …

The purpose of this dataset was to study gender bias in occupations. Online biographies, written in English, were collected to …

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are …

This dataset is a combination of the following three datasets : figshare, SARTAJ dataset and Br35H This dataset contains 7022 …

The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness. CIFAKE is a dataset that …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

Common corruptions dataset for CIFAR10

Contains hundreds of frontal view X-rays and is the largest public resource for COVID-19 image and prognostic data, making it …

Data was collected for normal bearings, single-point drive end and fan end defects. Data was collected at 12,000 samples/second and …

The normal chest X-ray (left panel) depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia …

We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across …

A public data set of walking full-body kinematics and kinetics in individuals with Parkinson’s disease

HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile …

The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. …

The IRFL dataset consists of idioms, similes, and metaphors with matching figurative and literal images, as well as two novel …

The goal for ISIC 2019 is classify dermoscopic images among nine different diagnostic categories.25,331 images are available for training across …

This dataset was presented as part of the ICLR 2023 paper 𝘈 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘪𝘯𝘨 𝘊𝘭𝘢𝘴𝘴-𝘰𝘶𝘵-𝘰𝘧-𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯 𝘥𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘪𝘵𝘴 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 …

Dataset Introduction In this work, we introduce the In-Diagram Logic (InDL) dataset, an innovative resource crafted to rigorously evaluate the …

This data set comprises 22 fundus images with their corresponding manual annotations for the blood vessels, separated as arteries and …

The Liver-US dataset is a comprehensive collection of high-quality ultrasound images of the liver, including both normal and abnormal cases. …

The minimalist histopathology image analysis dataset (MHIST) is a binary classification dataset of 3,152 fixed-size images of colorectal polyps, each …

The process by which sections in a document are demarcated and labeled is known as section identification. Such sections are …

MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect …

Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. …

A large real-world event-based dataset for object classification. Source: HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification

The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset. The dataset is obtained by moving an event camera …

The RITE (Retinal Images vessel Tree Extraction) is a database that enables comparative studies on segmentation or classification of arteries …

he RSSCN7 dataset contains satellite images acquired from Google Earth, which is originally collected for remote sensing scene classification. We …

The Recognizing Textual Entailment (RTE) datasets come from a series of textual entailment challenges. Data from RTE1, RTE2, RTE3 and …

The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. …

This dataset is based on the Spiking Heidelberg Digits (SHD) dataset. Sample inputs consist of two spike encoded digits sampled …

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species. Specifically, SPOTS-10 …

The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the …

Sentiment140 is a dataset that allows you to discover the sentiment of a brand, product, or topic on Twitter. Source: …

This dataset consists of computer-generated images for gas leakage segmentation. It features diverse backgrounds, interfering foreground objects, and precise ground …

arxiv : https://arxiv.org/abs/2304.11708 Accepted at 29th International Congress on Sound and Vibration (ICSV29). The drone has been used for various …

Table-ACM12K (TACM12K) is a relational table dataset derived from the ACM heterogeneous graph dataset. It includes four tables: papers, authors, …

Table-LastFm2K (TLF2K) is a relational table dataset derived from the classical LastFM2K dataset. It contains three tables: artists, user_artists, and …

Table-MovieLens1M (TML1M) is a relational table dataset derived from the classical MovieLens1M dataset. It consists of three tables: users, movies, …

The Winograd Schema Challenge was introduced both as an alternative to the Turing Test and as a test of a …

WiC is a benchmark for the evaluation of context-sensitive word embeddings. WiC is framed as a binary classification task. Each …

Enlarge the dataset to understand how image background effect the Computer Vision ML model. With the following topics: Blur Background …

Criteo contains 7 days of click-through data, which is widely used for CTR prediction benchmarking. There are 26 anonymous categorical …

A clickthrough prediction dataset, for more information please see the Kaggle page

The task is to predict the chances of a user listening to a song repetitively after the first observable listening …

The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies. These preferences take the form of tuples, …

The iPinYou Global RTB(Real-Time Bidding) Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The …

2010 i2b2/VA is a biomedical dataset for relation classification and entity typing.

2010 i2b2/VA is a biomedical dataset for relation classification and entity typing.

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

We introduce the Clothing Attribute Dataset for promoting research in learning visual attributes for objects. The dataset contains 1856 images, …

97 synthetic datasets consists of 97 datasets (as illustrated in the figure) and can be used to test graph-based clustering …

Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

This dataset contains a set of face images taken between April 1992 and April 1994 at AT&T Laboratories Cambridge.

Defects4J is a collection of reproducible bugs and a supporting infrastructure with the goal of advancing software engineering research. Defects4J …

DotPrompts is a set of testcases derived from PragmaticCode, such that each testcase consists of a prompt to a dereference …

Syntax-Aware Fill-in-the-Middle (SAFIM) is a benchmark for evaluating Large Language Models (LLMs) on the code Fill-in-the-Middle (FIM) task. SAFIM has …

The CodeSearchNet Corpus is a large dataset of functions with associated documentation written in Go, Java, JavaScript, PHP, Python, and …

The APPS dataset consists of problems collected from different open-access coding websites such as Codeforces, Kattis, and more. The APPS …

A new large dataset with over 100,000 examples consisting of Java classes from online code repositories, and develop a new …

The CMU CoNaLa, the Code/Natural Language Challenge dataset is a joint project from the Carnegie Mellon University NeuLab and Strudel …

The CoNaLa Extended With Question Text is an extension to the original CoNaLa Dataset (Papers With Code Link) proposed in …

CodeContests is a competitive programming dataset for machine-learning. This dataset was used when training AlphaCode. It consists of programming problems, …

In this paper, we introduce a novel benchmarking framework designed specifically for evaluations of data science agents. Our contributions are …

The Django dataset is a dataset for code generation comprising of 16000 training, 1000 development and 1805 test annotations. Each …

the FloCo dataset that contains 11,884 flowchart images and their corresponding Python codes.

This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained …

Extension test cases of HumanEval, as well as generated code.

The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry-level programmers, covering programming fundamentals, …

Extension test cases of MBPP, as well as generated code.

Recent advancements in large language models (LLMs) have showcased their exceptional abilities across various tasks, such as code generation, problem-solving …

RES-Q is a natural language instruction-based benchmark for evaluating $\textbf{R}$epository $\textbf{E}$diting $\textbf{S}$ystems, which consists of 100 handcrafted repository editing tasks …

Shellcode_IA32 is a dataset containing 20 years of shellcodes from a variety of sources is the largest collection of shellcodes …

TACO (Topics in Algorithmic Code generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more …

$\textbf{Turbulence}$ is a new benchmark for systematically evaluating the correctness and robustness of instruction-tuned large language models (LLMs) for code …

Verified Smart Contracts Code Comments is a dataset of real Ethereum smart contract functions, containing "code, comment" pairs of both …

VerilogEval Dataset The VerilogEval Dataset is a benchmark specifically designed to assess the ability of large language models (LLMs) …

Test-driven benchmark to challenge LLMs to write JavaScript React application GitHub Script

Test-driven benchmark to challenge LLMs to write long JavaScript React application GitHub Script

WikiSQL consists of a corpus of 87,726 hand-annotated SQL query and natural language question pairs. These SQL queries are further …

CoDesc is a large dataset of 4.2m Java source code and parallel data of their description from code search, and …

CoIR (Code Information Retrieval) benchmark, is designed to evaluate code retrieval capabilities. CoIR includes 10 curated code datasets, covering 8 …

The CodeSearchNet Corpus is a large dataset of functions with associated documentation written in Go, Java, JavaScript, PHP, Python, and …

N/A

Gowalla is a location-based social networking website where users share their locations by checking-in. The friendship network is undirected and …

The Yelp2018 dataset is adopted from the 2018 edition of the yelp challenge. Wherein local businesses like restaurants and bars …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

A Ball-Collision Dataset (ABCD) serves as a comprehensive benchmark for investigating the interaction dynamics of moving objects within 3D environments. …

The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …

Colorization validation set for unconditional/conditional colorization tasks. Subset of the ImageNet validation images and excludes andy grayscale single-channel images.

The COmmonsense Dataset Adversarially-authored by Humans (CODAH) is an evaluation set for commonsense question-answering in the sentence completion style of …

The CommonsenseQA is a dataset for commonsense question answering task. The dataset consists of 12,247 questions with 5 choices each. …

Choice of Plausible Alternatives for Russian language (PARus) evaluation provides researchers with a tool for assessing progress in open-domain commonsense …

A Winograd schema is a pair of sentences that differ in only one or two words and that contain an …

Reading Comprehension with Commonsense Reasoning Dataset (ReCoRD) is a large-scale reading comprehension dataset which requires commonsense reasoning. ReCoRD consists of …

Russian reading comprehension with Commonsense reasoning (RuCoS) is a large-scale reading comprehension dataset that requires commonsense reasoning. RuCoS consists of …

Given a partial description like "she opened the hood of the car," humans can reason about the situation and anticipate …

This dataset is collected via the WinoGAViL game to collect challenging vision-and-language associations. Inspired by the popular card game Codenames, …

WinoGrande is a large-scale dataset of 44k problems, inspired by the original WSC design, but adjusted to improve both the …

The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes. The citation network consists of 4732 …

The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 …

The DBLP is a citation network dataset. The citation data is extracted from DBLP, ACM, MAG (Microsoft Academic Graph), and …

The PubMed dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes. …

Composed Image Retrieval (or, Image Retreival conditioned on Language Feedback) is a relatively new retrieval task, where an input query …

Fashion IQ support and advance research on interactive fashion image retrieval. Fashion IQ is the first fashion dataset to provide …

The Set5 dataset is a dataset consisting of 5 images (“baby”, “bird”, “butterfly”, “head”, “woman”) commonly used for testing performance …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

Animals with Attributes 2 (AwA2) is a dataset for benchmarking transfer-learning algorithms, such as attribute base classification and zero-shot learning. …

The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of …

CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels …

We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation. It comprises 60,000 images …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following …

ImageNet Long-Tailed is a subset of /dataset/imagenet dataset consisting of 115.8K images from 1000 categories, with maximally 1280 images per …

Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has …

This is a dataset of 3 English books which do not contain the letter "e" in them. This dataset includes …

The English Penn Treebank (PTB) corpus, and in particular the section of the corpus corresponding to the articles of Wall …

BEHAVE is a full body human-object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along …

This dataset has 20 classes and each class has about 1000 documents. The data split for train/validation/test is 1600/200/200. We …

AIDS is a graph dataset. It consists of 2000 graphs representing molecular compounds which are constructed from the AIDS Antiviral …

A set of 10 DSC datasets (reviews of 10 products) to produce sequences of tasks. The products are Sports, Toys, …

F-CelebA - This dataset is adapted from federated learning. Federated learning is an emerging machine learning paradigm with an emphasis …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

Permuted MNIST is an MNIST variant that consists of 70,000 images of handwritten digits from 0 to 9, where 60,000 …

AG News (AG’s News Corpus) is a subdataset of AG's corpus of news articles constructed by assembling titles and description …

SciERC dataset is a collection of 500 scientific abstract annotated with scientific entities, their relations, and coreference clusters. The abstracts …

The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …

We present a database for research on affect, personality traits and mood by means of neuro-physiological signals. Different to other …

Description: 10,000 People - Human Pose Recognition Data. This dataset includes indoor and outdoor scenes.This dataset covers males and females. …

ConvFinQA is a dataset designed to study the chain of numerical reasoning in conversational question answering. The dataset contains 3892 …

Advising Corpus is a dataset based on an entirely new collection of dialogues in which university students are being advised …

We release Douban Conversation Corpus, comprising a training data set, a development set and a test set for retrieval based …

We release E-commerce Dialogue Corpus, comprising a training data set, a development set and a test set for retrieval based …

| | Train | Validation | Test | Ranking Test | | --------- | ----- | ---------- | ------- | …

| | Train | Validation | Test | Ranking Test | | --------- | ----- | ---------- | ------- | …

The Ubuntu IRC dataset is a valuable resource for research in natural language understanding and dialogue systems. Let me provide …

WebLINX is a large-scale benchmark of 100K interactions across 2300 expert demonstrations of conversational web navigation. It covers a broad …

A collection of $28$ datasets across $7$ tasks constructed for genome language model evaluation. Contains seven tasks: promoter prediction. core …

Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the …

Abstract: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 …

Letter Recognition Data Set is a handwritten digit dataset. The task is to identify each of a large number of …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

The 'Deutsche Welle corpus for Information Extraction' (DWIE) is a multi-task dataset that combines four main Information Extraction (IE) annotation …

The DocRED Information Extraction (DocRED-IE) dataset extends the DocRED dataset for the Document-level Closed Information Extraction (DocIE) task. DocRED-IE is …

GAP is a graph processing benchmark suite with the goal of helping to standardize graph processing evaluations. Fewer differences between …

LitBank is an annotated dataset of 100 works of English-language fiction to support tasks in natural language processing and the …

OntoGUM is an OntoNotes-like coreference dataset converted from GUM, an English corpus covering 12 genres using deterministic rules.

A large-scale English dataset for coreference resolution. The dataset is designed to embody the core challenges in coreference, such as …

Consists of multiple sentences whose clues are arranged by difficulty (from obscure to obvious) and uniquely identify a well-known entity …

WikiCoref is an English corpus annotated for anaphoric relations, where all documents are from the English version of Wikipedia. Source: …

A collection of $28$ datasets across $7$ tasks constructed for genome language model evaluation. Contains seven tasks: promoter prediction. core …

The dataset contains training and evaluation data for 12 languages: - Vietnamese - Romanian - Latvian - Czech - Polish …

The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite greater access to earth observation …

Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on …

The Places dataset is proposed for scene recognition and contains more than 2.5 million images covering more than 205 scene …

The Cross-lingual Choice of Plausible Alternatives (XCOPA) dataset is a benchmark to evaluate the ability of machine learning models to …

The CUHK-PEDES dataset is a caption-annotated pedestrian dataset. It contains 40,206 images over 13,003 persons. Images are collected from five …

Dataset contains 33,010 molecule-description pairs split into 80\%/10\%/10\% train/val/test splits. The goal of the task is to retrieve the relevant …

The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators. Source: [Guiding …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

The Remote Sensing Image Captioning Dataset (RSICD) is a dataset for remote sensing image captioning task. It contains more than …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

Recipe1M+ is a dataset which contains one million structured cooking recipes with 13M associated images. Source: [Recipe1M+: A Dataset for …

SoundingEarth consists of co-located aerial imagery and audio samples all around the world.

The Hume Vocal Burst Database (H-VB) includes all train, validation, and test recordings and corresponding emotion ratings for the train …

The dataset contains training and evaluation data for 12 languages: - Vietnamese - Romanian - Latvian - Czech - Polish …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the …

The QNLI (Question-answering NLI) dataset is a Natural Language Inference dataset automatically derived from the Stanford Question Answering Dataset v1.1 …

The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles. In SQuAD, the correct …

Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University …

DART is a large dataset for open-domain structured data record to text generation. DART consists of 82,191 examples across different …

End-to-End NLG Challenge (E2E) aims to assess whether recent end-to-end NLG systems can generate more complex output by learning from …

GenWiki is a large-scale dataset for knowledge graph-to-text (G2T) and text-to-knowledge graph (T2G) conversion. It is introduced in the paper …

A new dataset on the baseball domain. Source: Data-to-text Generation with Entity Modeling

This dataset consists of (human-written) NBA basketball game summaries aligned with their corresponding box- and line-scores. Summaries taken from rotowire.com …

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a …

The ViGGO corpus is a set of 6,900 meaning representation to natural language utterance pairs in the video game domain. …

The WebNLG corpus comprises of sets of triplets describing facts (entities and relations between them) and the corresponding facts in …

• a high-level explanation of the dataset characteristics We introduce WikiOFGraph, a novel large-scale, domain-diverse dataset synthesized by LLMs, ensuring …

This dataset gathers 428,748 person and 12,236 animal infobox with descriptions based on Wikipedia dump (2018/04/01) and Wikidata (2018/04/12).

It consists of an extensive collection of a high quality cross-lingual fact-to-text dataset in 11 languages: Assamese (as), Bengali (bn), …

MassSpecGym provides three challenges for benchmarking the discovery and identification of new molecules from MS/MS spectra: - 💥 **De novo …

MassSpecGym provides three challenges for benchmarking the discovery and identification of new molecules from MS/MS spectra: - 💥 **De novo …

Using the proposed beam-splitter acquisition system, we have collected a new real-world video deblurring dataset (BSD). We collected blurry/sharp video …

The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 …

Consists of 8,422 blurry and sharp image pairs with 65,784 densely annotated FG human bounding boxes. Source: Human-Aware Motion Deblurring

Qualitative dataset with real blurred videos, created by using beam-splitter setup in lab environment

The realistic and dynamic scenes (REDS) dataset was proposed in the NTIRE19 Challenge. The dataset is composed of 300 video …

The RSBlur dataset provides pairs of real and synthetic blurred images with ground truth sharp images. The dataset enables the …

Engine degradation simulation was carried out using C-MAPSS. Four different were sets simulated under different combinations of operational conditions and …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

USPS is a digit dataset automatically scanned from envelopes by the U.S. Postal Service containing a total of 9,298 16×16 …

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The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness. CIFAKE is a dataset that …

The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos. The DFDC dataset …

FaceForensics is a video dataset consisting of more than 500,000 frames containing faces from 1004 videos that can be used …

FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation …

FakeAVCeleb is a novel Audio-Video Deepfake dataset that not only contains deepfake videos but respective synthesized cloned audios as well. …

Localized Audio Visual DeepFake Dataset (LAV-DF). Paper: Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method …

A large-scale benchmark with 1605 high-resolution, well-annotated images, featuring more complex scenes and a wider range of DOF settings.

DIV2K is a popular single-image super-resolution dataset which contains 1,000 images with different scenes and is splitted to 800 for …

Benchmarking Denoising Algorithms with Real Photographs This dataset consists of 50 pairs of noisy and (nearly) noise-free images captured with …

the dataset contains data about hydrogen storage in metal hydrides

The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, …

Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 …

ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes. Ground …

The HPatches is a recent dataset for local patch descriptor evaluation that consists of 116 sequences of 6 images with …

dataset of 400 image pairs

The ActivityNet Captions dataset is built on ActivityNet v1.3 which includes 20k YouTube untrimmed videos with 100k caption annotations. The …

The ViTT dataset consists of human produced segment-level annotations for 8,169 videos. Of these, 5,840 videos have been annotated once, …

YouCook2 is the largest task-oriented, instructional video dataset in the vision community. It contains 2000 long untrimmed videos from 89 …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The Caltech101 dataset contains images from 101 object categories (e.g., “helicopter”, “elephant” and “chair” etc.) and a background category that …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

The task builds on the CoNLL-2008 task and extends it to multiple languages. The core of the task is to …

Danish Dependency Treebank (DaNE) is a named entity annotation for the Danish Universal Dependencies treebank using the CoNLL-2003 annotation scheme. …

The English Penn Treebank (PTB) corpus, and in particular the section of the corpus corresponding to the articles of Wall …

Briefly describe the dataset. Provide: * a high-level explanation of the dataset characteristics * explain motivations and summary of its …

The Universal Dependencies (UD) project seeks to develop cross-linguistically consistent treebank annotation of morphology and syntax for multiple languages. The …

KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile …

The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …

PLAD is a dataset where sparse depth is provided by line-based visual SLAM to verify StructMDC.

The dataset was collected using the Intel RealSense D435i camera, which was configured to produce synchronized accelerometer and gyroscope measurements …

The DCM dataset is composed of 772 annotated images from 27 golden age comic books. We freely collected them from …

Diode Dense Indoor/Outdoor DEpth (DIODE) is the first standard dataset for monocular depth estimation comprising diverse indoor and outdoor scenes …

The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …

ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …

Taskonomy provides a large and high-quality dataset of varied indoor scenes. - Complete pixel-level geometric information via aligned meshes. - …

The eBDtheque database is a selection of one hundred comic pages from America, Japan (manga) and Europe. Image source: http://ebdtheque.univ-lr.fr/database/

In this paper, we propose Text-based Open Molecule Generation Benchmark (TOMG-Bench), the first benchmark to evaluate the open-domain molecule generation …

What do the instances in this dataset represent? The instances represent hospitalized patient records diagnosed with diabetes. **Are there recommended …

This dataset was collected with the goal of assessing dialog evaluation metrics. In the paper, USR: An Unsupervised and Reference …

This dataset was collected with the goal of assessing dialog evaluation metrics. In the paper, USR: An Unsupervised and Reference …

FusedChat is an inter-mode dialogue dataset. It contains dialogue sessions fusing task-oriented dialogues (TOD) and open-domain dialogues (ODD). Based on …

Harry Potter Dialogue is the first dialogue dataset that integrates with scene, attributes and relations which are dynamically changed as …

A new open-vocabulary language modelling benchmark derived from books. Source: Compressive Transformers for Long-Range Sequence Modelling

CANARD is a dataset for question-in-context rewriting that consists of questions each given in a dialog context together with a …

EMNIST (extended MNIST) has 4 times more data than MNIST. It is a set of handwritten digits with a 28 …

This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about …

This discourse treebank includes annotated instructional texts originally assembled at the Information Technology Research Institute, University of Brighton. This dataset …

A machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog. Molweni's source samples from the Ubuntu Chat …

The Rhetorical Structure Theory (RST) Discourse Treebank consists of 385 Wall Street Journal articles from the Penn Treebank annotated with …

The CHILI-100K dataset is a large-scale graph dataset (with overall >183M nodes, >1.2B edges) of nanomaterials generated from experimentally determined …

The CHILI-3K dataset is a medium-scale graph dataset (with overall >6M nodes, >49M edges) of mono-metallic oxide nanomaterials generated from …

EPHOIE is a fully-annotated dataset which is the first Chinese benchmark for both text spotting and visual information extraction. EPHOIE …

The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 …

The Hallmarks of Cancer (*HOC) corpus consists of 1852 PubMed publication abstracts manually annotated by experts according to the Hallmarks …

Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide …

LUN is used for unreliable news source classification, this dataset includes 17,250 articles from satire, propaganda, and hoaxe.

The Reuters-21578 dataset is a collection of documents with news articles. The original corpus has 10,369 documents and a vocabulary …

The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc. …

The Tobacco-3482 dataset consists of document images belonging to 10 classes such as letter, form, email, resume, memo, etc. The …

The D4LA dataset is a diverse benchmark for document layout analysis (DLA) derived from the RVL-CDIP dataset. It focuses on …

The RVL-CDIP dataset consists of scanned document images belonging to 16 classes such as letter, form, email, resume, memo, etc. …

U-DIADS-Bib is a proprietary dataset developed through the collaboration of computer scientists and humanities at the University of Udine. It …

DareCzech DaReCzech is a dataset for text relevance ranking in Czech. The dataset consists of more than 1.6M annotated …

Arxiv HEP-TH (high energy physics theory) citation graph is from the e-print arXiv and covers all the citations within a …

This is a dataset for evaluating summarisation methods for research papers. Source: [A Discourse-Aware Attention Model for Abstractive Summarization of …

The Tobacco-3482 dataset consists of document images belonging to 10 classes such as letter, form, email, resume, memo, etc. The …

Bc8BioRED is built upon BioRED 2022 with the addition of directionality annotations. The training and development sets from the original …

The 'Deutsche Welle corpus for Information Extraction' (DWIE) is a multi-task dataset that combines four main Information Extraction (IE) annotation …

The DocRED Information Extraction (DocRED-IE) dataset extends the DocRED dataset for the Document-level Closed Information Extraction (DocIE) task. DocRED-IE is …

The Re-DocRED Dataset resolved the following problems of DocRED: 1. Resolved the incompleteness problem by supplementing large amounts of relation …

The goal of this project is to present two new datasets that seek to expand the capability of the Learning …

Comic2k is a dataset used for cross-domain object detection which contains 2k comic images with image and instance-level annotations. Image …

DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …

Foggy Cityscapes is a synthetic foggy dataset which simulates fog on real scenes. Each foggy image is rendered with a …

The ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenge, which contains three domains: Caltech-256 (C), ImageNet …

The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological …

• 5 domains: synthetic domain, document domain, street view domain, handwritten domain, and car license domain * over five million …

Dataset release for the BMVC 2021 Paper "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement" Abstract: Enhancing practical low …

The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset …

Office-Caltech-10 a standard benchmark for domain adaptation, which consists of Office 10 and Caltech 10 datasets. It contains the 10 …

Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …

PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …

SIM10k is a synthetic dataset containing 10,000 images, which is rendered from the video game Grand Theft Auto V (GTA5). …

Common corruptions dataset for CIFAR10

DomainNet is a dataset of common objects in six different domain. All domains include 345 categories (classes) of objects such …

The ImageNet-A dataset consists of real-world, unmodified, and naturally occurring examples that are misclassified by ResNet models. Source: [On Robustness …

ImageNet-C is an open source data set that consists of algorithmically generated corruptions (blur, noise) applied to the ImageNet test-set. …

ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and …

ImageNet-Sketch data set consists of 50,889 images, approximately 50 images for each of the 1000 ImageNet classes. The data set …

Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The …

PACS is an image dataset for domain generalization. It consists of four domains, namely Photo (1,670 images), Art Painting (2,048 …

VLCS is a dataset to test for domain generalization.

Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform …

WildDash is a benchmark evaluation method is presented that uses the meta-information to calculate the robustness of a given algorithm …

ASAP is a dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical …

This data set includes beat and bar annotations of the ballroom dataset, introduced by Gouyon et al. [1]. [1] Gouyon …

This dataset includes the beat and downbeat annotations for Beatles albums. The annotations are provided by M. E. P. Davies …

35 recordings of Candombe music with beat and downbeat annotations.

48 multitrack jazz recordings with many annotations.

The gtzan8 audio dataset contains 1000 tracks of 30 second length. There are 10 genres, each containing 100 tracks which …

The Groove MIDI Dataset (GMD) is composed of 13.6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive …

GuitarSet is a dataset of high-quality guitar recordings and rich annotations. It contains 360 excerpts 30 seconds in length. The …

J. Hockman, M. E. Davies, and I. Fujinaga, “One in the jungle: Downbeat detection in hardcore, jungle, and drum and …

S. W. Hainsworth and M. D. Macleod, “Particle filtering applied to musical tempo tracking,” EURASIP Journal on Advances in Signal …

Beats, downbeats, and functional structural annotations for 912 Pop tracks. Nieto, O., McCallum, M., Davies., M., Robertson, A., Stark, A., …

Eremenko, E. Demirel, B. Bozkurt, and X. Serra, “Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research,” in …

J. Driedger, H. Schreiber, W. B. de Haas, and M. Müller, “Towards automatically correcting tapped beat annotations for music recordings.” …

Dataset Description: The interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Task …

Dataset Description: Toward making use of the complementary information captured by the various bioactivity types, including IC50, K(i), and K(d), …

Comparative evaluation of virtual screening methods requires a rigorous benchmarking procedure on diverse, realistic, and unbiased data sets. Recent investigations …

Comparative evaluation of virtual screening methods requires a rigorous benchmarking procedure on diverse, realistic, and unbiased data sets. Recent investigations …

Comparative evaluation of virtual screening methods requires a rigorous benchmarking procedure on diverse, realistic, and unbiased data sets. Recent investigations …

The Maximum Unbiased Validation (MUV) dataset is a benchmark dataset selected from PubChem BioAssay. It was created by applying a …

PCBA dataset 11 is a collection of high-quality dose-response data, formulated as a multitask learning benchmark from 128 high-throughput screening …

QED is a linguistically principled framework for explanations in question answering. Given a question and a passage, QED represents an …

QM9 provides quantum chemical properties (at DFT level) for a relevant, consistent, and comprehensive chemical space of small organic molecules. …

SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and …

The Tox21 data set comprises 12,060 training samples and 647 test samples that represent chemical compounds. There are 801 "dense …

The ClinTox dataset compares drugs approved by the FDA and drugs that have failed clinical trials for toxicity reasons. The …

iPhone dataset is a challenging benchmarks for dynamic reconstruction. This dataset consists of a collection of videos with realistic scenes …

Electrocardiography (ECG) is a key diagnostic tool to assess the cardiac condition of a patient. Automatic ECG interpretation algorithms as …

The UCR Time Series Archive - introduced in 2002, has become an important resource in the time series data mining …

The George B. Moody PhysioNet Challenges are annual competitions that invite participants to develop automated approaches for addressing important physiological …

The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their …

Details It contains 250 outdoor images of 1280$\times$720 pixels each. These images have been carefully annotated by experts on the …

BRIND is a short name of BSDS-RIND is the first public benchmark that dedicated to studying simultaneously the four edge …

Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection. This dataset is designed for evaluating natural …

The CID (Campus Image Dataset) is a dataset captured in low-light env with the help of Android programming. Its basic …

In order to study the interaction of several early visual cues (luminance, color, stereo, motion) during boundary detection in challenging …

The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to …

This dataset is a collection of 1, 2, or 3 images from: BIPED, BSDS500, BSDS300, DIV2K, WIRE-FRAME, CID, CITYSCAPES, ADE20K, …

We scraped the 53 most popular C# repositories from GitHub and extracted all commits since the beginning of the project’s …

EEG/fMRI Data from 8 subject doing a simple eyes open/eyes closed task is provided on this webpage. The EEG/fMRI data …

13,201 clips from 79 TV shows. Each video clip was manually annotated with six emotion categories, including “anger”, “disgust”, “fear”, …

CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in …

The MFA (Many Faces of Anger) dataset includes 200 in-the-wild videos from North American and Persian cultures with fine-grained labels …

ROCStories is a collection of commonsense short stories. The corpus consists of 100,000 five-sentence stories. Each story logically follows everyday …

For Emotion Interpretation task

The EMOTIC dataset, named after EMOTions In Context, is a database of images with people in real environments, annotated with …

1000 songs has been selected from Free Music Archive (FMA). The excerpts which were annotated are available in the same …

Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of …

The MSP-Podcast corpus contains speech segments from podcast recordings which are perceptually annotated using crowdsourcing. The collection of this corpus …

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7,356 files (total size: 24.8 GB). The database contains …

The SEED dataset contains subjects' EEG signals when they were watching films clips. The film clips are carefully selected so …

This dataset contains benchmark scores for EQ-Bench, a novel benchmark designed to evaluate aspects of emotional intelligence in Large Language …

This corpus has been collected from free or free for research sources at the Internet: - A collection of 425 …

A large-scale cross-lingual dataset for entity alignment

The DBP2.0 dataset can be downloaded from the figshare repository. It has three entity alignment settings, i.e., ZH-EN, JA-EN and …

The AQUAINT Corpus consists of newswire text data in English, drawn from three sources: the Xinhua News Service (People's Republic …

The DocRED Information Extraction (DocRED-IE) dataset extends the DocRED dataset for the Document-level Closed Information Extraction (DocIE) task. DocRED-IE is …

A large new multilingual dataset for multilingual entity linking. Source: Entity Linking in 100 Languages