dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
ClonedPerson | The ClonedPerson dataset is a large-scale synthetic person re-identification dataset introduced in the paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification" in CVPR 2022. It is generated by MakeHuman and Unity3D. Characters in this dataset use an automatic approach t... | Provide a detailed description of the following dataset: ClonedPerson |
A-OKVQA | **A-OKVQA** is crowdsourced visual question answering dataset composed of a diverse set of about 25K questions requiring a broad base of commonsense and world knowledge to answer. | Provide a detailed description of the following dataset: A-OKVQA |
Synthehicle | Synthehicle is a massive CARLA-based synthehic multi-vehicle multi-camera tracking dataset and includes ground truth for 2D detection and tracking, 3D detection and tracking, depth estimation, and semantic, instance and panoptic segmentation. | Provide a detailed description of the following dataset: Synthehicle |
nuScenes (Cross-City UDA) | A cross-city UDA benchmark built upon nuScenes. | Provide a detailed description of the following dataset: nuScenes (Cross-City UDA) |
Labeled data for citation field extraction | Citations are an important part of scientific papers, and the proper handling of them is indispensable for the science of science. Citation field extraction is the task of parsing citations: given a citation string, extract authors, title, venue, doi etc. Since the number of citations is counted by hundreds millions, e... | Provide a detailed description of the following dataset: Labeled data for citation field extraction |
doges-dogaresse | This is the list of all doges of the Venetian Republic, as well as their wives, if there's a record that they existed. They include name, surname if known, and date of their office, as well as the date of their weddings. Data has been extracted from the Wikipedia, with some errors fixed checking against other sources. | Provide a detailed description of the following dataset: doges-dogaresse |
Matbench | The Matbench test suite v0.1 contains 13 supervised ML tasks from 10 datasets. Matbench’s data are sourced from various subdisciplines of materials science, such as experimental mechanical properties (alloy strength), computed elastic properties, computed and experimental electronic properties, optical and phonon prope... | Provide a detailed description of the following dataset: Matbench |
SKINL2 | The SKINL2 dataset comprises a total of 376 light fields acquired under similar conditions. The images were classified using eight categories, according to the type of skin lesion/ICD code:
Melanoma / C43
Melanocytic Nevus / D22
Basal Cell Carcinoma / D04
Seborrheic Keratosis / L82
Hemangiom... | Provide a detailed description of the following dataset: SKINL2 |
SD-198 | The SD-198 dataset contains 198 different diseases from different types of eczema, acne and various cancerous conditions. There are 6,584 images in total. A subset include the classes with more than 20 image samples, namely SD-128." | Provide a detailed description of the following dataset: SD-198 |
MED-NODE | "Our dataset consists of 70 melanoma and 100 naevus images from the digital image archive of the Department of Dermatology of the University Medical Center Groningen (UMCG) used for the development and testing of the MED-NODE system for skin cancer detection from macroscopic images. The file - complete_mednode_dataset.... | Provide a detailed description of the following dataset: MED-NODE |
7-point criteria evaluation Database | "We provide a database for evaluating computerized image-based prediction of the 7-point skin lesion malignancy checklist. The dataset includes over 2000 clinical and dermoscopy color images, along with corresponding structured metadata tailored for training and evaluating computer aided diagnosis (CAD) systems. " | Provide a detailed description of the following dataset: 7-point criteria evaluation Database |
NVIDIA Synthetic Head Dataset | This dataset contains 500K high photo-real rendered images of 10 real head models with (yaw, pitch, roll) head pose labels. Each head is rendered with a different pose and environmental lighting. | Provide a detailed description of the following dataset: NVIDIA Synthetic Head Dataset |
MSU Video Upscalers: Quality Enhancement | The dataset aims to find the algorithms that produce the most visually pleasant image possible and generalize well to a broad range of content. It consists of 30 clips and contains 15 2D-animated segments losslessly recorded from various video games and 15 camera-shot segments from high-bitrate YUV444 sources. The comp... | Provide a detailed description of the following dataset: MSU Video Upscalers: Quality Enhancement |
UMAD | The UMAD is a virtual-scene dataset made by AirSim, which is a simulator built on Unreal Engine. In order to ensure the simulation data is as close to real as possible, on the one hand, we use a realistic city scene model which comes from Kirill Sibiriakov, on the other hand, we collect the vehicle motion data and came... | Provide a detailed description of the following dataset: UMAD |
CodeQueries | CodeQueries Benchmark dataset consists of instances of semantic queries, code context and code spans in the context corresponding to the semantic queries. The dataset can be used in experiments involving semantic query comprehension with an extractive question-answering methodology over code. More details can be found ... | Provide a detailed description of the following dataset: CodeQueries |
Multidimensional Texture Perception | Texture-based studies and designs have been in focus recently. Whisker-based multidimensional surface texture data is missing in the literature. This data is critical for robotics and machine perception algorithms in the classification and regression of textural surfaces. We present a novel sensor design to acquire mul... | Provide a detailed description of the following dataset: Multidimensional Texture Perception |
MIDGARD | **MIDGARD** is an open-source simulator for autonomous robot navigation in outdoor unstructured environments.
It is designed to enable the training of autonomous agents (e.g., unmanned ground vehicles) in photorealistic 3D environments, and support the generalization skills of learning-based agents thanks to the varia... | Provide a detailed description of the following dataset: MIDGARD |
STDW | **STDW** is a diverse large-scale dataset for table detection with more than seven thousand samples containing a wide variety of table structures collected from many diverse sources. | Provide a detailed description of the following dataset: STDW |
WildQA | **WildQA** is a video understanding dataset of videos recorded in outside settings. The dataset can be used to evaluate models for video question answering. | Provide a detailed description of the following dataset: WildQA |
Baxter-UR5_95-Objects | In this dataset two robots, Baxter and UR5, perform 8 behaviors (look, grasp, pick, hold, shake, lower, drop, and push) on 95 objects that vary by 5 color (blue, green, red, white, and yellow), 6 contents (wooden button, plastic dices, glass marbles, nuts & bolts, pasta, and rice), and 4 weights (empty, 50g, 100g, and ... | Provide a detailed description of the following dataset: Baxter-UR5_95-Objects |
Plittersdorf | A set of 221 stereo videos captured by the SOCRATES stereo camera trap in a wildlife park in Bonn, Germany between February and July of 2022. A subset of frames is labeled with instance annotations in the COCO format. | Provide a detailed description of the following dataset: Plittersdorf |
ImageNet-S | Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two major challenges to allowing such an attractive learning modality for segmentation tasks: i) a large-scale benchmark for assessing algorithms is missing; ii) unsupervised shap... | Provide a detailed description of the following dataset: ImageNet-S |
University of Waterloo skin cancer database | The dataset is maintained by VISION AND IMAGE PROCESSING LAB, University of Waterloo.
The images of the dataset were extracted from the public databases DermIS and DermQuest, along with manual segmentations of the lesions.
The dataset was used in the following journal publication.
[1] Glaister, J., A. Wong, and D.... | Provide a detailed description of the following dataset: University of Waterloo skin cancer database |
Hazards&Robots | We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robot’s previous experience in similar environments. These anomalies might indicate unforeseen hazards and, in scenarios where failure is costly... | Provide a detailed description of the following dataset: Hazards&Robots |
ShapeNet-ViPC | A large-scale dataset for the point cloud completion task on the ShapeNet dataset. | Provide a detailed description of the following dataset: ShapeNet-ViPC |
ScienceQA | **Science Question Answering** (**ScienceQA**) is a new benchmark that consists of 21,208 multimodal multiple choice questions with diverse science topics and annotations of their answers with corresponding lectures and explanations. Out of the questions in **ScienceQA**, 10,332 (48.7%) have an image context, 10,220 (4... | Provide a detailed description of the following dataset: ScienceQA |
UTSig | UTSig (University of Tehran Persian Signature) dataset is freely available at MLCM lab website: http://mlcm.ut.ac.ir/Datasets.html
Persian offline signature dataset, UTSig. This rich dataset consists of significant numbers of classes and samples, where aforementioned variables are considered during signature collecti... | Provide a detailed description of the following dataset: UTSig |
CSL-2022 | We present CSL, a large-scale **C**hinese **S**cientific **L**iterature dataset,
which contains the titles, abstracts, keywords and academic fields of 396,209 papers.
To our knowledge, CSL is the first scientific document dataset in Chinese.
[Paper](https://arxiv.org/abs/2209.05034) | [Code and data](https://git... | Provide a detailed description of the following dataset: CSL-2022 |
IHDS | **IHDS** is a nationally representative, multi-topic panel survey of 41,554 households in 1503 villages and 971 urban neighborhoods across India. | Provide a detailed description of the following dataset: IHDS |
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate | ## Dataset outline
This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset was collected from an exp... | Provide a detailed description of the following dataset: Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate |
FEIDEGGER | The FEIDEGGER (fashion images and descriptions in German) dataset is a new multi-modal corpus that focuses specifically on the domain of fashion items and their visual descriptions in German. The dataset was created as part of ongoing research at Zalando into text-image multi-modality in the area of fashion.
The dat... | Provide a detailed description of the following dataset: FEIDEGGER |
Mars DTM Estimation | This dataset is useful for doing research in the field of mars surface monocular depth estimation.
The dataset is composed of 250k patches where each patch is a 3-channels 512 x 512 raster. The first two channels are respectively left and right images of the stereo pair while the third channel is the DTM.
Because DT... | Provide a detailed description of the following dataset: Mars DTM Estimation |
SDD | **SDD** dataset contains a variety of indoor and outdoor scenes, designed for Image Defocus Deblurring. There are 50 indoor scenes and 65 outdoor scenes in the training set, and 11 indoor scenes and 24 outdoor scenes in the testing set. | Provide a detailed description of the following dataset: SDD |
ArtFID Dataset | The ArtFID dataset contains around 250k labeled artworks. | Provide a detailed description of the following dataset: ArtFID Dataset |
SketchyVR | We present the first fine-grained dataset of 1,497 3D VR sketch and 3D shape pairs for 1,005 chair shapes with large shapes diversity from the ShapeNetCore dataset from 50 participants.
The collected sketches are provided as both obj files and point cloud files, along with corresponding time information in timestam... | Provide a detailed description of the following dataset: SketchyVR |
KArSL | KArSL (**K**FUPM **Ar**abic **S**ign **L**anguage) is an Arabic sign language (ArSL) database collected using Microsoft Kinect V2. The database consists of **502 sign words** constituting the sign words of eleven chapters of ArSL dictionary (Letters, Numbers, Health, Common verbs, Family, Characteristics, Directions an... | Provide a detailed description of the following dataset: KArSL |
GasHisSDB | Four pathologists from Longhua Hospital Shanghai University of Traditional Chinese Medicine provide 600 images of gastric cancer pathology images at size 2048$\times$2048 pixels. These images were scanned using a NewUsbCamera and digitized at $\times$20 magnification, tissue-level labels were also given by the four exp... | Provide a detailed description of the following dataset: GasHisSDB |
Thermal Face Database | High-resolution thermal infrared face database with extensive manual annotations, introduced by Kopaczka et al, 2018. Useful for training algoeithms for image processing tasks as well as facial expression recognition. The full database itself, all annotations and the complete source code are freely available from the a... | Provide a detailed description of the following dataset: Thermal Face Database |
ZEGGS Dataset | **ZEGGS** dataset contains 67 sequences of monologues performed by a female actor speaking in English and covers 19 different motion styles. | Provide a detailed description of the following dataset: ZEGGS Dataset |
Penguin dataset | The penguin dataset is a collection of images of penguin colonies in Antarctica coming from the larger penguin watch project, which was setup with the purpose of monitoring their changes in population. The images are taken by fixed cameras in over 40 different locations, which have been capturing an image per hour for ... | Provide a detailed description of the following dataset: Penguin dataset |
NCT-CRC-HE-100K | The NCT-CRC-HE-100K dataset is a set of 100,000 non-overlapping image patches extracted from 86 H$\&$E stained human cancer tissue slides and normal tissue from the NCT biobank (National Center for Tumor Diseases) and the UMM pathology archive (University Medical Center Mannheim). While the dataset Colorectal Cacner-Va... | Provide a detailed description of the following dataset: NCT-CRC-HE-100K |
flower_photos | A large set of images of flowers
Homepage: https://www.tensorflow.org/tutorials/load_data/images
Dataset size: 221.83 MiB | Provide a detailed description of the following dataset: flower_photos |
UHRSD | Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution input perform poorly on high-resolution images due to the contradiction between the sampling depth and the receptive field size. Aiming at res... | Provide a detailed description of the following dataset: UHRSD |
DAVIS-S | To enrich the diversity, we also collect 92 images which are suitable for saliency detection from DAVIS [27], a densely annotated high-resolution video segmentation dataset. Im- ages in this dataset are precisely annotated and have very high resolutions (i.e.,1920!1080). We ignore the categories of the objects and gene... | Provide a detailed description of the following dataset: DAVIS-S |
VR Mocap Dataset for Pose/Orientation Prediction | Data used for the paper Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices.
MMData.zip contains the necessary files to execute the project in Unity. Use only following the instructions on the GitHub project.
MMVR_Dataset.zip contains all .bvh files used for train... | Provide a detailed description of the following dataset: VR Mocap Dataset for Pose/Orientation Prediction |
DexHand | Inspired by OpenAI dexterous in-hand manipulation, we collected a synthetic RGB-D dataset of a Shadow Hand robot manipulating a cube towards arbitrary goal configurations. This dataset consists of about 10000 videos, each video including 25 RGB-D frames.
DexHand is challenging as the robot has 24 degrees of freedom, a... | Provide a detailed description of the following dataset: DexHand |
Omnipush | Omnipush is a dataset with high variety of planar pushing behavior. The dataset contains 250 pushes for each of 250 objects, all recorded with RGB-D and high precision state tracking.
The objects are constructed to explore key factors that affect pushing --the shape of the object and its mass distribution-- which have... | Provide a detailed description of the following dataset: Omnipush |
Gun Violence Corpus | The Gun Violence Corpus (GVC) consists of 241 unique incidents for which we have structured data on a) location, b) time c) the name, gender and age of the victims and d) the status of the victims after the incident: killed or injured. For these data, 510 news articles were gathered following the 'data to text' approa... | Provide a detailed description of the following dataset: Gun Violence Corpus |
Sustainable Venture Capital Survey 2022 | To explore the nascent area of sustainable venture capital, a review of related research was conducted and social entrepreneurs & investors interviewed to construct a questionnaire assessing the interests and intentions of current & future ecosystem participants. Analysis of 114 responses received via several sampling ... | Provide a detailed description of the following dataset: Sustainable Venture Capital Survey 2022 |
DifferSketching | **DifferSketching** is a dataset of freehand sketches to understand how differently professional and novice users sketch 3D objects. It includes 3,620 freehand multi-view sketches registered with their corresponding 3D objects. To date, the dataset is an order of magnitude larger than the existing datasets. | Provide a detailed description of the following dataset: DifferSketching |
ViPhy | **ViPhy** leverages two datasets: Visual Genome (Krishna et al., 2017), and ADE20K (Zhou et al., 2017). The dense captions in Visual Genome provide a broad coverage of object classes, making it a suitable resource for collecting subtype candidates. For extracting hyponyms from knowledge base, we acquire "is-a" relation... | Provide a detailed description of the following dataset: ViPhy |
SPICE | **SPICE** is a collection of quantum mechanical data for training potential functions. The emphasis is particularly on simulating drug-like small molecules interacting with proteins. It is designed to achieve the following goals:
- Cover a wide range of chemical space
- Cover a wide range of conformations
- Includ... | Provide a detailed description of the following dataset: SPICE |
WikiDes | WikiDes is a dataset for generating descriptions of Wikidata from Wikipedia paragraphs. | Provide a detailed description of the following dataset: WikiDes |
HUME-VB | The Hume Vocal Burst Database (H-VB) includes all train, validation, and test recordings and corresponding emotion ratings for the train and validation recordings.
This dataset contains 59,201 audio recordings of vocal bursts from 1,702 speakers, from 4 cultures—the U.S, South Africa, China, and Venezuela—ranging in... | Provide a detailed description of the following dataset: HUME-VB |
MIMIC II | The data used in this research is a subset of the Multi-parameter Intelligent Monitoring for Critical
Care (MIMIC) II database. It contains minute-by-minute time series of Heart Rate (HR), Systolic
Blood Pressure (SBP), Diastolic Blood Pressure (DBP), and Mean Arterial blood Pressure (MAP)
arranged into records, eac... | Provide a detailed description of the following dataset: MIMIC II |
WebLI | **WebLI** (Web Language Image) is a web-scale multilingual image-text dataset, designed to support Google’s vision-language research, such as the large-scale pre-training for image understanding, image captioning, visual question answering, object detection etc.
The dataset is built from the public web, including im... | Provide a detailed description of the following dataset: WebLI |
ArNLI | Natural Language Inference processes pairs of sentences to extract their semantic relations.
Pair sentences are annotated with three classes (Contradictions, Entailment, Neutral).
1- Entailment: A and B intersect (A ∩ B ≠ ∅, A ∪ B ≠ Universe) or one may contain another ((A ∁ B) OR (B ∁ A)).
2- Contradiction: A, a... | Provide a detailed description of the following dataset: ArNLI |
Artie Bias Corpus | **Artie Bias Corpus** is an open dataset for detecting demographic bias in speech applications. | Provide a detailed description of the following dataset: Artie Bias Corpus |
EHR Dataset for Patient Treatment Classification | The dataset is Electronic Health Record Predicting collected from a private Hospital in Indonesia. It contains the patients laboratory test results used to determine next patient treatment whether in care or out care patient. The task embedded to the dataset is classification prediction. | Provide a detailed description of the following dataset: EHR Dataset for Patient Treatment Classification |
Code2Seq (Java) | Java-Small, Java-Med, Java-Large | Provide a detailed description of the following dataset: Code2Seq (Java) |
CocoChorales | # The CocoChorales Dataset
**CocoChorales** is a dataset consisting of over 1400 hours of audio mixtures containing four-part chorales performed by 13 instruments, all synthesized with realistic-sounding generative models. CocoChorales contains mixes, sources, and MIDI data, as well as annotations for note expressio... | Provide a detailed description of the following dataset: CocoChorales |
Sig53 | A dataset of 53 complex-valued signal modulation classes. | Provide a detailed description of the following dataset: Sig53 |
Argoverse 2 Motion Forecasting | The **Argoverse 2 Motion Forecasting** Dataset is a curated collection of 250,000 scenarios for training and validation. Each scenario is 11 seconds long and contains the 2D, birds-eye-view centroid and heading of each tracked object sampled at 10 Hz.
To curate this collection, we sifted through thousands of hours o... | Provide a detailed description of the following dataset: Argoverse 2 Motion Forecasting |
Extended MP-16 Dataset | To overcome the need for a full installation of a reverse geocoder such as Nominatim, we provide the post-processed output of the reverse geocoding for the MP-16 dataset along with the validation set (YFCC-Val26k) which originally comprised photos and respective GPS coordinates. Both datasets are subsets of the YFCC100... | Provide a detailed description of the following dataset: Extended MP-16 Dataset |
Events in Invasion Games Dataset - Handball | This dataset contains the broadcast video streams of handball matches along with synchronized official positional data and human event annotations for 125min raw data in summary.
### Data Source & Characteristics
- Handball matches from the [Handball-Bundesliga (HBL)](https://www.liquimoly-hbl.de/en/) captured in... | Provide a detailed description of the following dataset: Events in Invasion Games Dataset - Handball |
Xia and Ding, 2019 | Emotion-cause pair extraction (ECPE) aims to extract the potential pairs of emotions and corresponding causes in a document. This dataset consists of 1,945 Chinese documents from SINA NEWS website. | Provide a detailed description of the following dataset: Xia and Ding, 2019 |
BPAEC | This dataset contains the confocal fluorescence microscopy images of nucleus, actin and mitochondria, where each clear image corresponds to 6 out-of-focus images with different degree of blurring. Images acquired below and above the optimal focal plane are blurry and out-of-focus images. In detail, scans were acquired ... | Provide a detailed description of the following dataset: BPAEC |
Leishmania parasite dataset | This dataset includes sharp-blur pairs of Leishmania image, which is a protozoan parasite microscopy image dataset of Leishmania, obtained from the preserved slides stained with Giemsa. The paired blur-sharp images are acquired by employing a bright-field microscope (Olympus IX53) with 100× magnification oil immersion ... | Provide a detailed description of the following dataset: Leishmania parasite dataset |
Music4All-Onion | Music4All-Onion is a large-scale, multi-modal music dataset that expands the Music4All dataset by including 26 additional audio, video, and metadata features for 109,269 music pieces and provides a set of 252,984,396 listening records of 119,140 users, extracted from the online music platform Last.fm . | Provide a detailed description of the following dataset: Music4All-Onion |
CHQ-Summ | Contains 1507 domain-expert annotated consumer health questions and corresponding summaries. The dataset is derived from the community question answering forum and therefore provides a valuable resource for understanding consumer health-related posts on social media. | Provide a detailed description of the following dataset: CHQ-Summ |
MultiDex | We collect a large-scale synthetic dataset for robotic hands with [Differentiable Force Closure(DFC)](https://sites.google.com/view/ral2021-grasp/). It covers 436,000 diverse and stable grasps for 58 household objects from ContactDB and YCB datasets across 5 robotic hands including EZGripper, Barrett Hand, Robotiq-3Fin... | Provide a detailed description of the following dataset: MultiDex |
DR.BENCH | **DR.BENCH** is a dataset for developing and evaluating cNLP models with clinical diagnostic reasoning ability. The suite includes six tasks from ten publicly available datasets addressing clinical text understanding, medical knowledge reasoning, and diagnosis generation. | Provide a detailed description of the following dataset: DR.BENCH |
Satimage | The resources for this dataset can be found at https://www.openml.org/d/182
Author: Ashwin Srinivasan, Department of Statistics and Data Modeling, University of Strathclyde
Source: UCI - 1993
Please cite: UCI
The database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image... | Provide a detailed description of the following dataset: Satimage |
ImDrug | **ImDrug** is a comprehensive benchmark with an open-source Python library which consists of 4 imbalance settings, 11 AI-ready datasets, 54 learning tasks and 16 baseline algorithms tailored for imbalanced learning. It features modularized components including formulation of learning setting and tasks, dataset curation... | Provide a detailed description of the following dataset: ImDrug |
VILT | **VILT** is a new benchmark collection of tasks and multimodal video content. The video linking collection includes annotations from 10 (recipe) tasks, which the annotators chose from a random subset of the collection of 2,275 high-quality 'Wholefoods' recipes. There are linking annotations for 61 query steps across th... | Provide a detailed description of the following dataset: VILT |
CommitBART | **CommitBART** is a benchmark for researching commit-related task such as denoising, cross-modal generation and contrastive learning. The dataset contains over 7 million commits across 7 programming languages. | Provide a detailed description of the following dataset: CommitBART |
CLEVR-Math | **CLEVR-Math** is a multi-modal math word problems dataset consisting of simple math word problems involving addition/subtraction, represented partly by a textual description and partly by an image illustrating the scenario. These word problems requires a combination of language, visual and mathematical reasoning. | Provide a detailed description of the following dataset: CLEVR-Math |
MFRC | **Moral Foundations Reddit Corpus (MFRC)** is a collection of 16,123 Reddit comments that have been curated from 12 distinct subreddits, hand-annotated by at least three trained annotators for 8 categories of moral sentiment (i.e., Care, Proportionality, Equality, Purity, Authority, Loyalty, Thin Morality, Implicit/Exp... | Provide a detailed description of the following dataset: MFRC |
Ski-Pose PTZ-Camera | This multi-view pant-tilt-zoom-camera (PTZ) dataset features competitive alpine skiers performing giant slalom runs. It provides labels for the skiers’ 3D poses in each frame, their projected 2D pose in all 20k images, and accurate per-frame calibration of the PTZ cameras. The dataset was collected by Spörri and Collea... | Provide a detailed description of the following dataset: Ski-Pose PTZ-Camera |
DrugComb | **DrugComb** is an open-access, community-driven data portal where the results of drug combination screening studies for a large variety of cancer cell lines are accumulated, standardized and harmonized. An actively expanding array of data visualization and computational tools is provided for the analysis of drug combi... | Provide a detailed description of the following dataset: DrugComb |
MBW - Zoo Dataset | Dataset page: https://github.com/mosamdabhi/MBW-Data
MBW - Zoo is a challenging dataset consisting image frames of tail-end distribution categories (such as Fish, Colobus Monkeys, Chimpanzees, etc.) with their corresponding 2D, 3D, and Bounding-Box labels generated from minimal human intervention. Some of the promin... | Provide a detailed description of the following dataset: MBW - Zoo Dataset |
UBFC-rPPG | We introduce here a new database called UBFC-rPPG (stands for Univ. Bourgogne Franche-Comté Remote PhotoPlethysmoGraphy) comprising two datasets that are focused specifically on rPPG analysis. The UBFC-RPPG database was created using a custom C++ application for video acquisition with a simple low cost webcam (Logitech... | Provide a detailed description of the following dataset: UBFC-rPPG |
MMSE-HR | The MMSE-HR benchmark consists of a dataset of 102 videos from 40 subjects recorded at 1040x1392 raw resolution at 25fps. During the recordings, various stimuli such as videos, sounds, and smells are introduced to induce different emotional states in the subjects. The ground truth waveform for MMSE-HR is the blood pres... | Provide a detailed description of the following dataset: MMSE-HR |
Wisture Dataset | https://ieee-dataport.org/documents/wi-fi-signal-strength-measurements-smartphone-various-hand-gestures | Provide a detailed description of the following dataset: Wisture Dataset |
OQM9HK | This is a large-scale dataset of quantum-mechanically calculated properties (DFT level) of crystalline materials for graph representation learning that contains approximately 900k entries (OQM9HK). This dataset is constructed on the basis of [the Open Quantum Materials Database](https://oqmd.org) (OQMD) v1.5 containing... | Provide a detailed description of the following dataset: OQM9HK |
MINTAKA | **MINTAKA** is a complex, natural, and multilingual dataset designed for experimenting with end-to-end question-answering models. It is composed of 20,000 question-answer pairs collected in English, annotated with Wikidata entities, and translated into Arabic, French, German, Hindi, Italian, Japanese, Portuguese, and S... | Provide a detailed description of the following dataset: MINTAKA |
PrOntoQA | **PrOntoQA** is a question-answering dataset which generates examples with chains-of-thought that describe the reasoning required to answer the questions correctly. The sentences in the examples are syntactically simple and amenable to semantic parsing. It can be used to formally analyze the predicted chain-of-thought ... | Provide a detailed description of the following dataset: PrOntoQA |
Cambridge Landmarks | Cambridge Landmarks, a large scale outdoor visual relocalisation dataset taken around Cambridge University. Contains original video, with extracted image frames labelled with their 6-DOF camera pose and a visual reconstruction of the scene. If you use this data, please cite our paper: Alex Kendall, Matthew Grimes and R... | Provide a detailed description of the following dataset: Cambridge Landmarks |
V-MIND | **V-MIND** enhanced the MIND dataset with news pictures. | Provide a detailed description of the following dataset: V-MIND |
SMOKE | The SMOKE dataset is a dataset for fog/smoke removal.
There are 110 self-collected fog/smoke images and their clean pairs.
There are 12 other pairs of fog data for evaluation. | Provide a detailed description of the following dataset: SMOKE |
K-Lane | KAIST-Lane (K-Lane) is the world’s first and the largest public urban road and highway lane dataset for Lidar. K-Lane has more than 15K frames and contains annotations of up to six lanes under various road and traffic conditions, e.g., occluded roads of multiple occlusion levels, roads at day and night times, merging (... | Provide a detailed description of the following dataset: K-Lane |
K-Radar | KAIST-Radar (K-Radar) is a novel large-scale object detection dataset and benchmark that contains 35K frames of 4D Radar tensor (4DRT) data with power measurements along the Doppler, range, azimuth, and elevation dimensions, together with carefully annotated 3D bounding box labels of objects on the roads. K-Radar inclu... | Provide a detailed description of the following dataset: K-Radar |
RECON | https://sites.google.com/view/recon-robot/dataset | Provide a detailed description of the following dataset: RECON |
ViHSD | This dataset contains 33,400 annotated comments used for hate speech detection on social network sites.
Label: CLEAN (non hate), OFFENSIVE and HATE | Provide a detailed description of the following dataset: ViHSD |
ViSpamReviews | This dataset is used for spam review detection (opinion spam reviews) on Vietnamese E-commerce website | Provide a detailed description of the following dataset: ViSpamReviews |
CICEROv2 | The CICEROv2 dataset can be found in the [data](https://github.com/declare-lab/CICERO/releases/download/v2.0.0/data.zip) directory. Each line of the files is a json object indicating a single instance. The json objects have the following key-value pairs:
| Key | Value |
|:----------:| :-----:|
| ID | Di... | Provide a detailed description of the following dataset: CICEROv2 |
ShanghaiTech Campus | The ShanghaiTech Campus dataset has 13 scenes with complex light conditions and camera angles. It contains 130 abnormal events and over 270, 000 training frames. Moreover, both the frame-level and pixel-level ground truth of abnormal events are annotated in this dataset. | Provide a detailed description of the following dataset: ShanghaiTech Campus |
FCGEC | * a fine-grained corpus to detect, identify and correct the chinese grammatical errors.
* collected mainly from multi-choice questions in public school Chinese examinations
* with multiple references
* Online Evaluation Site for test set: https://codalab.lisn.upsaclay.fr/competitions/8020 | Provide a detailed description of the following dataset: FCGEC |
DigiFace-1M | **DigiFace-1M** is a **synthetic dataset** for face recognition, obtained by rendering digital faces using a computer graphics pipeline. It contains **1.22M images** of **110K unique identities**. The dataset consists of two parts. The **first part** contains **720K images** with **10K identities**. For each identity, ... | Provide a detailed description of the following dataset: DigiFace-1M |
HR-ShanghaiTech | The human-Related version of the ShanghaiTech Campus, was first presented by Morais et al. in the paper "Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos". | Provide a detailed description of the following dataset: HR-ShanghaiTech |
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