dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Semeion | 1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values.
The dataset was created by Tactile Srl, Brescia, Italy (http://www.tattile.it) and donated in 1994 to Semeion Research Center of Sciences of Communication, Rome, Italy (http://www.semeion.... | Provide a detailed description of the following dataset: Semeion |
Spanish TimeBank 1.0 | Spanish TimeBank 1.0 was developed by researchers at Barcelona Media and consists of Spanish texts in the AnCora corpus annotated with temporal and event information according to the TimeML specification language.
TimeML is a schema for annotating eventualities and time expressions in natural language as well as the... | Provide a detailed description of the following dataset: Spanish TimeBank 1.0 |
MoCapAct | The MoCapAct dataset contains training data and models for humanoid locomotion research. It consists of expert policies that are trained to track individual clip snippets and HDF5 files of noisy rollouts collected from each expert, including proprioceptive observations and actions. | Provide a detailed description of the following dataset: MoCapAct |
Aurora-2 | The Aurora-2 data are based on a version of the original TIDigits (as available from LDC) downsampled at 8 kHz. Different noise signals have been artificially added to clean speech data. The software tool for filtering and noise adding is available in the download area. You can use the tool for creating distorted data... | Provide a detailed description of the following dataset: Aurora-2 |
French Timebank | French TimeBank, a corpus for French annotated in ISO-TimeML.
Some statistics:
- Documents: 109
- Events: 2100
- Timexs: 608
- Signal: 288
- ALink: 36
- SLink: 457
- TLinks: 191 | Provide a detailed description of the following dataset: French Timebank |
Basque TimeBank | A set of basque documents annotated with EusTimeML - a mark-up language for temporal information in Basque. | Provide a detailed description of the following dataset: Basque TimeBank |
Catalan TimeBank 1.0 | Catalan TimeBank 1.0 was developed by researchers at Barcelona Media and consists of Catalan texts in the AnCora corpus annotated with temporal and event information according to the TimeML specification language. | Provide a detailed description of the following dataset: Catalan TimeBank 1.0 |
Weibo | This dataset is from [DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades](https://dl.acm.org/doi/10.1145/3132847.3132973), CIKM 2017. It includes Weibo tweets and their retweets posted in a day. | Provide a detailed description of the following dataset: Weibo |
WinoGAViL | This dataset is collected via the WinoGAViL game to collect challenging vision-and-language associations. Inspired by the popular card game Codenames, a “spymaster” gives a textual cue related to several visual candidates, and another player has to identify them.
We use the game to collect 3.5K instances, finding th... | Provide a detailed description of the following dataset: WinoGAViL |
Capriccio | Capriccio is a sentiment classification dataset on tweets that simulates data drift.
It is created by slicing the Sentiment140 dataset ([homepage](http://help.sentiment140.com/home), [Huggingface datasets](https://huggingface.co/datasets/sentiment140)) with a sliding window of 500,000 tweets, resulting in 38 slices.
... | Provide a detailed description of the following dataset: Capriccio |
KuaiRand | KuaiRand is an unbiased sequential recommendation dataset collected from the recommendation logs of the video-sharing mobile app, Kuaishou (快手). It is the first recommendation dataset with millions of intervened interactions of randomly exposed items inserted in the standard recommendation feeds! | Provide a detailed description of the following dataset: KuaiRand |
MentSum | Mental health remains a significant challenge of public health worldwide. With increasing popularity of online platforms, many use the platforms to share their mental health conditions, express their feelings, and seek help from the community and counselors. While posts are of varying length, it is beneficial to provid... | Provide a detailed description of the following dataset: MentSum |
Line Coverage Dataset | The dataset contains road networks taken from 50 most populous cities in the world. The road networks are obtained using OpenStreetMap. These road networks are used to benchmark routing algorithms on graphs.
This LineCoverage-database is made available under the Open Database License: http://opendatacommons.org/lice... | Provide a detailed description of the following dataset: Line Coverage Dataset |
ABCD Study | The ABCD Study is a prospective longitudinal study starting at the ages of 9-10 and following participants for 10 years. The study includes a diverse sample of nearly 12,000 youth enrolled at 21 research sites across the country. It measures brain development (via structural, task functional, and resting state function... | Provide a detailed description of the following dataset: ABCD Study |
NCANDA | The NCANDA consortium is composed of an Administrative component at the University of California San Diego, a Data Analysis and Informatics component at SRI International, and five research sites (University of California San Diego, SRI International, Duke University, the University of Pittsburgh, and the Oregon Health... | Provide a detailed description of the following dataset: NCANDA |
CrossDomainTypes4Py | A Python Dataset for Cross-Domain Evaluation of Type Inference Systems | Provide a detailed description of the following dataset: CrossDomainTypes4Py |
Persuasion Strategies | Modeling what makes an advertisement persuasive, i.e., eliciting the desired response from consumer, is critical to the study of propaganda, social psychology, and marketing. Despite its importance, computational modeling of persuasion in computer vision is still in its infancy, primarily due to the lack of benchmark d... | Provide a detailed description of the following dataset: Persuasion Strategies |
VGMIDI | VGMIDI is a dataset of piano arrangements of video game soundtracks. It contains 200 MIDI pieces labeled according to emotion and 3,850 unlabeled pieces. Each labeled piece was annotated by 30 human subjects according to the Circumplex (valence-arousal) model of emotion using a custom [web tool](https://github.com/luca... | Provide a detailed description of the following dataset: VGMIDI |
AquaTrash | This dataset contains 369 images of Trash used for deep learning. Each image is manually labelled by our team for accurate detections making a total of 470 bounding boxes. There are total 4 classes {(0: glass), (1:paper), (2:metal), (3:plastic)} | Provide a detailed description of the following dataset: AquaTrash |
Infinity Spills Basic Dataset | Infinity AI's Spills Basic Dataset is a synthetic, open-source dataset for safety applications. It features 150 videos of photorealistic liquid spills across 15 common settings. Spills take on in-context reflections, caustics, and depth based on the surrounding environment, lighting, and floor. Each video contains a sp... | Provide a detailed description of the following dataset: Infinity Spills Basic Dataset |
Survival Analysis of Heart Failure Patients | The dataset contains cardiovascular medical records taken from 299 patients. The patient cohort comprised of 105 women and 194 men between 40 and 95 years in age. All patients in the cohort were diagnosed with the systolic dysfunction of the left ventricle and had previous history of ... | Provide a detailed description of the following dataset: Survival Analysis of Heart Failure Patients |
Anime Face Dataset by Character Name | This dataset is suitable for the image classification model. Train image classification model to classify anime characters by face image. This dataset includes 130 characters with 75 images each, scrapped from Danbooru.
List of characters:
Abigail williams
Aegis ... | Provide a detailed description of the following dataset: Anime Face Dataset by Character Name |
SentimentArcs: Sentiment Reference Corpus for Novels | SentimentArcs’ reference corpus for novels consists of 25 narratives selected to create a diverse set of well recognized novels that can serve as a benchmark for future studies. The composition of the corpora was limited by the effect of copyright laws as well as historical imbalances. Most works were obtained from US ... | Provide a detailed description of the following dataset: SentimentArcs: Sentiment Reference Corpus for Novels |
Scholars on Twitter | This is a dataset of paired OpenAlex author_ids (https://docs.openalex.org/about-the-data/author) and tweeter_id.
The dataset includes 492,124 unique author_ids and 423,920 unique tweeter_ids forming 498,672 unique author-tweeter pairs. The file contains the following columns:
author_id: author_id from OpenAlex
... | Provide a detailed description of the following dataset: Scholars on Twitter |
Coronavirus (COVID-19) Tweets Dataset | This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The real-time Twitter feed is monitored for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. The oldest tweets in this dataset ... | Provide a detailed description of the following dataset: Coronavirus (COVID-19) Tweets Dataset |
HANNA | HANNA, a large annotated dataset of Human-ANnotated NArratives for Automatic Story Generation (ASG) evaluation, has been designed for the benchmarking of automatic metrics for ASG. HANNA contains 1,056 stories generated from 96 prompts from the WritingPrompts dataset. Each prompt is linked to a human story and to 10 st... | Provide a detailed description of the following dataset: HANNA |
Talking With Hands 16.2M | This is a 16.2-million frame (50-hour) multimodal dataset of two-person face-to-face spontaneous conversations. This dataset features synchronized body and finger motion as well as audio data. It represents the largest motion capture and audio dataset of natural conversations to date. The statistical analysis verifies ... | Provide a detailed description of the following dataset: Talking With Hands 16.2M |
The TREC Fair Ranking track 2020 | The TREC Fair Ranking track evaluates systems according to how well they fairly rank documents. The 2020 focuses on scholarly search and fairly ranking academic abstracts and papers from authors belonging to different groups. | Provide a detailed description of the following dataset: The TREC Fair Ranking track 2020 |
FF-ANN-ID: Intrusion detection in WSNs | This dataset consists of six columns. The first four columns represent the input features (i.e., area, sensing range, transmission range, and the number of sensors). The last two columns represent the response variable or target variable (i.e., number of barriers (Gaussian) and number of barriers (Uniform)). | Provide a detailed description of the following dataset: FF-ANN-ID: Intrusion detection in WSNs |
Wikipedia users activity | Wikipedia users activity for two language editions, Portuguese and Italian, for up to 8 January 2020.
**Feature Description**
**Pages**: Number of unique pages (>= 0) edited by the user.
**Activity**: Number of edits (>= 0) performed by the user.
**Anonymity**: Categorical value (Yes [1], No [0]) indicating... | Provide a detailed description of the following dataset: Wikipedia users activity |
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances | This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additio... | Provide a detailed description of the following dataset: A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances |
Youtube-VIS 2022 Validation | Video object segmentation has been studied extensively in the past decade due to its importance in understanding video spatial-temporal structures as well as its value in industrial applications. Recently, data-driven algorithms (e.g. deep learning) have become the dominant approach to computer vision problems and one ... | Provide a detailed description of the following dataset: Youtube-VIS 2022 Validation |
CitySim Dataset | The development of safety-oriented research ideas and applications requires fine-grained vehicle trajectory data that not only has high accuracy but also captures a substantial number of critical safety events. This paper introduces the CitySim Dataset, which was devised with a core objective of facilitating safety-bas... | Provide a detailed description of the following dataset: CitySim Dataset |
Sparse LiDAR KITTI dataset | Sparse LiDAR extracted from velodyne 64 beams in KITTI dataset. It contains severals LiDAR: LiDAR 2 beams, LiDAR 4 beams, LiDAR 8 beams, LiDAR 16 beams, LiDAR 32 beams | Provide a detailed description of the following dataset: Sparse LiDAR KITTI dataset |
Herbarium 2022 | The Herbarium 2022: Flora of North America is a part of a project of the New York Botanical Garden funded by the National Science Foundation to build tools to identify novel plant species around the world. The dataset strives to represent all known vascular plant taxa in North America, using images gathered from 60 dif... | Provide a detailed description of the following dataset: Herbarium 2022 |
Scapped instagram comment | This is a dataset of audiens comment for each KOL that uses Instagram as their campaign platform. The comments are scrapped and generated as csv through apify.com | Provide a detailed description of the following dataset: Scapped instagram comment |
UzWordnet | UzWordnet is a lexical-semantic database, or a “word-net”, for the (Northern) Uzbek language (native: O’zbek till) compatible with [Princeton Wordnet](https://wordnet.princeton.edu). By providing it open source (see License), we aim to motivate, support, and increase the application of database and knowledge graphs pri... | Provide a detailed description of the following dataset: UzWordnet |
Rhythmic Gymnastic | The Rhythmic Gymnastics dataset contains videos of four different types of gymnastics routines: ball, clubs, hoop and ribbon. Each type of routine has 250 associated videos, and the length of each video is approximately 1 min 35 s. We chose high-standard international competition videos, including videos from the 36th ... | Provide a detailed description of the following dataset: Rhythmic Gymnastic |
CTI-to-MITRE | This dataset contains samples of CTI (Cyber Threat Intelligence) data in natural language, labeled with the corresponding adversarial techniques from the MITRE ATT&CK framework.
This dataset can be used for research on analyzing tactics and techniques of cyber attacks from text in natural language. | Provide a detailed description of the following dataset: CTI-to-MITRE |
EMOVO | This article describes the first emotional corpus, named EMOVO, applicable to Italian language,. It is a database built from the voices of up to 6 actors who played 14 sentences simulating 6 emotional states (disgust, fear, anger, joy, surprise, sadness) plus the neutral state. These emotions are the well-known Big Six... | Provide a detailed description of the following dataset: EMOVO |
QM9 Charge Densities and Energies Calculated with VASP | QM9 molecules calculated with VASP (at DFT level) using Atomic Simulation Environment with the following parameters:
Vasp(xc='PBE', istart=0, algo='Normal', icharg=2, nelm=180, ispin=1, nelmdl=6, isym=0, lcorr=True, potim=0.1, nelmin=5, kpts=[1,1,1], ismear=0, ediff=0.1E-05, sigma=0.1, nsw=0, ldiag=True, lreal='Auto... | Provide a detailed description of the following dataset: QM9 Charge Densities and Energies Calculated with VASP |
NMC Li-ion Battery Cathode Energies and Charge Densities | This dataset contains charge densities for NMC (Ni, Mn and Co) 2x2x1 supercell (12 transition metal atoms and 12 Li/vacancy site) with varying levels of Li content. For each structure we first randomly sample the number of Mn, Ni and Co atoms given that the total number of transition metal atoms is 12 and then randomly... | Provide a detailed description of the following dataset: NMC Li-ion Battery Cathode Energies and Charge Densities |
Ethylene Carbonate Molecular Dynamics | This dataset consists of charge densities of individual snapshots from a molecular dynamics trajectory (DFT simulations?). We insert 8 ethylene carbonate molecules in the simulation box. To quickly explore a large part of the configurational space we put Hookean constraints on the molecular bonds (to maintain molecular... | Provide a detailed description of the following dataset: Ethylene Carbonate Molecular Dynamics |
Crackseg9k | The dataset published here is the largest, most diverse and consistent crack segmentation dataset constructed so far. It contains 9255 images that combine different smaller open source datasets. It consists of 10 sub datasets preprocessed and resized to 400x400 namely, Crack500, Deepcrack, Sdnet, Cracktree, Gaps, Volke... | Provide a detailed description of the following dataset: Crackseg9k |
Shifts-Weather | A dataset of real distributional shift across multiple large-scale tasks.
Reference: [Arxiv Paper](https://arxiv.org/abs/2107.07455) | Provide a detailed description of the following dataset: Shifts-Weather |
RL-ISN-dataset | The datasets of "Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation" (TKDE 2022) | Provide a detailed description of the following dataset: RL-ISN-dataset |
Car datasets in multiple scenes | This dataset is a collection of 4,000 images of cars in multiple scenes that are ready to use for optimizing the accuracy of computer vision models.
All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos.
PIXTA is the largest platform of visual materials in the Asia Pacifi... | Provide a detailed description of the following dataset: Car datasets in multiple scenes |
Unified SSL Benchmark (USB) | The Unified SSL Benchmark (USB) consists of 15 diverse, challenging, and comprehensive tasks from CV, natural language processing (NLP), and audio processing (Audio) to evaluate self-supervised learning (SSL) methods. A modular and extensible codebase is open-sourced for fair evaluation on these SSL methods. | Provide a detailed description of the following dataset: Unified SSL Benchmark (USB) |
MDIA | MDIA is a large-scale multilingual benchmark for dialogue generation. It covers real-life conversations in 46 languages across 19 language families. | Provide a detailed description of the following dataset: MDIA |
Norwegian Endurance Athlete ECG Database | ## Abstract
The Norwegian Endurance Athlete ECG Database contains 12-lead ECG recordings from 28 elite athletes from various sports in Norway. All recordings are 10 seconds resting ECGs recorded with a General Electric (GE) MAC VUE 360 electrocardiograph. All ECGs are interpreted with both the GE Marquette SL12 algori... | Provide a detailed description of the following dataset: Norwegian Endurance Athlete ECG Database |
FindVehicle | The ***first*** NER dataset in the field of traffic, which is to extract the characteristics and attributes of the vehicle on the road.
* Both flat and overlapped named entities annotation.
* Both coarse-grained and fine-grained named entities.
* It contains 8 kinds of coarse-grained entities and 12 kinds of fine... | Provide a detailed description of the following dataset: FindVehicle |
Datasets for 3D shape reconstruction from 2D microscopy images | Two single cell datsets for 3D shape reconstruction from 2D microscopy images used for our three previous publication’s, together with the respective model predictions. | Provide a detailed description of the following dataset: Datasets for 3D shape reconstruction from 2D microscopy images |
Operating ITS-G5 DSRC over Licensed and Unlicensed Bands: A City-Scale Performance Evaluation | A large-scale dataset of measurements of ETSI ITS-G5 Dedicated Short Range Communications (DSRC) is presented. Our dataset consists of network interactions happening between two On-Board Units (OBUs) and four Road Side Units (RSUs). Each OBU was fitted onto a vehicle. The two vehicles have been driven across the Innova... | Provide a detailed description of the following dataset: Operating ITS-G5 DSRC over Licensed and Unlicensed Bands: A City-Scale Performance Evaluation |
Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques | This dataset consists of ~350k JPEG images of streetlight columns installed on a public road infrastructure located in the city of Bristol, UK.
Each streetlight is photographed by a Raspberry Pi Camera Module v1, installed on each lamppost, providing a unique camera placement, photographic angle, and distance from t... | Provide a detailed description of the following dataset: Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques |
Videezy4K | To evaluate the performance on 4K burst images/video, we collect several clips from website. The dataset can be download from : https://drive.google.com/file/d/1YDljUONvyKUO24smTx__CUH_4Zxhle09/view?usp=sharing | Provide a detailed description of the following dataset: Videezy4K |
SC_burst | Contains16 burst images using smartphones for burst/video denoising, restoration, and enhancement tasks. The raw format are unified and saved SC_burst in ".MAT", where the raw data and metadata are stored. | Provide a detailed description of the following dataset: SC_burst |
Niko Chord Progression Dataset | ### Introduction
The Niko Chord Progression Dataset is used in [AccoMontage2](https://github.com/billyblu2000/AccoMontage2). It contains 5k+ chord progression pieces, labeled with styles. There are four styles in total: Pop Standard, Pop Complex, Dark and R&B. Some progressions have an 'Unknown' style. Some statisti... | Provide a detailed description of the following dataset: Niko Chord Progression Dataset |
EMC Dutch Clinical Corpus | EMC Dutch clinical corpus contains four types of anonymized clinical documents: entries from general practitioners, specialists’ letters, radiology reports, and discharge letters. The identified UMLS terms in the corpus are annotated for negation, temporality, and experiencer properties.
Zubair Afzal, Ewoud Pons, Ni... | Provide a detailed description of the following dataset: EMC Dutch Clinical Corpus |
Human faces with mixed-race & various emotions | This dataset consists of 600+ items of faces with different emotions and mixed races that are ready to use for optimizing the accuracy of computer vision models. Human age range from 20 to 60 years old, balance in gender, no occlusion, with head direction (<45 degree up-down and left-right). All of the contents is sour... | Provide a detailed description of the following dataset: Human faces with mixed-race & various emotions |
OSDD | The Objects States Detection Dataset consists of images depicting everyday household objects in a number of different states. The ground-truth annotations involve the labels and bounding boxes spanning 18 object categories and 9 state classes.
The object categories are: \textit{bottle, jar, tub, book, drawer, door... | Provide a detailed description of the following dataset: OSDD |
Online Novel Recommendation Dataset | A dataset for online novel recommendation. | Provide a detailed description of the following dataset: Online Novel Recommendation Dataset |
FutureHouse | We present a new large-scale photorealistic panoramic dataset named FutureHouse, which has the following characteristics.
1) It contains over 70,000 high-quality models with high-resolution meshes and physical material. All models are measured in real world standards.
2) Selected scene layouts are careful... | Provide a detailed description of the following dataset: FutureHouse |
PKU SketchRe-ID Dataset | The PKU Sketch Re-ID dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University.
The dataset contains 200 persons, each of which has one sketch and two photos. Photos of each person were captured during daytime by two cross-view cameras. We cropped the raw images (or vi... | Provide a detailed description of the following dataset: PKU SketchRe-ID Dataset |
A-AVA | A new Actor-identified A-AVA dataset based on the existing AVA dataset and the TAO dataset, by assigning the unique actor identity and actions to each actor. | Provide a detailed description of the following dataset: A-AVA |
FathomNet | FathomNet is an open-source image database that can be used to train, test, and validate state-of-the-art artificial intelligence algorithms to help us understand our ocean and its inhabitants. Inspired by annotated image databases such as ImageNet and COCO, FathomNet aims to establish the same kind of reference data s... | Provide a detailed description of the following dataset: FathomNet |
HQ-YTVIS | While Video Instance Segmentation (VIS) has seen rapid progress, current approaches struggle to predict high-quality masks with accurate boundary details. To tackle this issue, we identify that the coarse boundary annotations of the popular YouTube-VIS dataset constitute a major limiting factor. To benchmark high-quali... | Provide a detailed description of the following dataset: HQ-YTVIS |
tida-gcn-data | The datasets of "Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation" (TNNLs 2022) | Provide a detailed description of the following dataset: tida-gcn-data |
SPARKESX | We present the Single-dish PARKES data sets for finding the uneXpected (SPARKESX), a compilation of real and simulated high-time resolution observations. SPARKESX comprises three mock surveys from the Parkes ''Murriyang'' radio telescope. A broad selection of simulated and injected expected signals (such as pulsars, fa... | Provide a detailed description of the following dataset: SPARKESX |
Flight Scheduling Data | Dataset was introduced by Jones Granatyr in his book
https://iaexpert.academy/2016/10/25/review-de-livro-programando-a-inteligencia-coletiva where he scraped flight schedules. | Provide a detailed description of the following dataset: Flight Scheduling Data |
SinD | The **SIND** dataset is based on 4K video captured by drones, providing information including traffic participant trajectories, traffic light status, and high-definition maps | Provide a detailed description of the following dataset: SinD |
The BioScope Corpus | It is a freely available resource for research on handling negation and uncertainty in biomedical texts . The corpus consists of three parts, namely medical free texts,biological full papers and biological scientific abstracts. The dataset contains annotations at the token level for negative and speculative keywords a... | Provide a detailed description of the following dataset: The BioScope Corpus |
GeBiD | We provide a custom synthetic bimodal dataset, called GeBiD, designed specifically for the comparison of the joint- and cross-generative capabilities of Multimodal Variational Autoencoders. It comprises RGB images of geometric primitives and textual descriptions. The dataset offers 5 levels of difficulty (based on the... | Provide a detailed description of the following dataset: GeBiD |
Psychometric NLP | Psychometric NLP is a corpus for psychometric natural language processing (NLP) related to important dimensions such as trust, anxiety, numeracy, and literacy, in the health domain. The dataset aligns user text with their survey-based response items and encompasses survey-based psychometric measures, accompanying user-... | Provide a detailed description of the following dataset: Psychometric NLP |
UAV Trajectory | The UAV Delievery dataset created to advance the research in drone delivery, contains trajectory details of UAV in different speed, altitude, and wind conditions. The dataset is created from the Truck based "Online Food Delivery Platform" using Open Air Traffic Simulator (ATS) with a UAVTrajectory.py plugin. A pre-p... | Provide a detailed description of the following dataset: UAV Trajectory |
Eurovision 2018 votes | Eurovision 2018 official votes dataset.
more details can be found here: https://towardsdatascience.com/social-network-analysis-from-theory-to-applications-with-python-d12e9a34c2c7 | Provide a detailed description of the following dataset: Eurovision 2018 votes |
PhotoTour | The dataset consists of 1024 x 1024 bitmap (.bmp) images, each containing a 16 x 16 array of image patches. Each patch is sampled as 64x64 grayscale, with a canonical scale and orientation. For details of how the scale and orientation is established, please see the paper.
Two associated metadata files are included. ... | Provide a detailed description of the following dataset: PhotoTour |
HD1k | An autnonomous driving dataset and benchmark for optical flow. This dataset was created by the Heidelberg Collaboratory for Image Processing in close cooperation with Robert Bosch GmbH.
For the public training dataset, we provide:
1) > 1000 frames at 2560x1080 with diverse lighting and weather scenarios
2) ref... | Provide a detailed description of the following dataset: HD1k |
SoccerTrack Dataset | The SoccerTrack dataset comprises top-view and wide-view video footage annotated with bounding boxes. GNSS coordinates of each player are also provided. We hope that the SoccerTrack dataset will help advance the state of the art in multi-object tracking, especially in team sports.
## Dataset Details
<div>
<a... | Provide a detailed description of the following dataset: SoccerTrack Dataset |
FSC147 | We introduce a dataset of 147 object categories containing over 6000 images that are suitable for the few-shot counting task. We collected and annotated images ourselves. Our dataset consists of 6135 images across a di- verse set of 147 object categories, from kitchen utensils and office stationery to vehicles and anim... | Provide a detailed description of the following dataset: FSC147 |
MIntRec | **MIntRec** is a novel dataset for multimodal intent recognition. It formulates coarse-grained and fine-grained intent taxonomies based on the data collected from the TV series *Superstore*. The dataset consists of 2,224 high-quality samples with text, video, and audio modalities and has multimodal annotations among tw... | Provide a detailed description of the following dataset: MIntRec |
BioRED | BioRED is a first-of-its-kind biomedical relation extraction dataset with multiple entity types (e.g. gene/protein, disease, chemical) and relation pairs (e.g. gene–disease; chemical–chemical) at the document level, on a set of600 PubMed abstracts. Furthermore, BioRED label each relation as describing either a novel fi... | Provide a detailed description of the following dataset: BioRED |
Vi-Fi Multi-modal Dataset | A large-scale multi-modal dataset to facilitate research and studies that concentrate on vision-wireless systems.
The Vi-Fi dataset is a large-scale multi-modal dataset that consists of vision, wireless and smartphone motion sensor data of multiple participants and passer-by pedestrians in both indoor and outdoor scen... | Provide a detailed description of the following dataset: Vi-Fi Multi-modal Dataset |
DistNLI | This dataset is named as the DistNLI dataset, which is a synthesized benchmark aiming to probe neural network models from the aspect of conjunctions on distributivity in NLI task in American English. DistNLI consists of sentence minimal pairs (premise and hypothesis) differentiated with conjunction structure within the... | Provide a detailed description of the following dataset: DistNLI |
SELTO Dataset | A Benchmark Dataset for Deep Learning-based Methods for 3D Topology Optimization.
One can find a description of the provided dataset partitions in Section 3 of Dittmer, S., Erzmann, D., Harms, H. Maass, P., SELTO: Sample-Efficient Learned Topology Optimization (2022). | Provide a detailed description of the following dataset: SELTO Dataset |
PEN | * Provided explanations on the existing three benchmark datasets on solving algebraic word problems: ALG514, DRAW-1K, MAWPS | Provide a detailed description of the following dataset: PEN |
DRAW-1K | **DRAW-1K** is a dataset consisting of 1000 algebra word problems, semiautomatically annotated for the evaluation of automatic solvers. DRAW includes gold coefficient alignments that are necessary uniquely identify the derivation of an equation system. | Provide a detailed description of the following dataset: DRAW-1K |
ALG514 | 514 algebra word problems and associated equation systems gathered from Algebra.com. | Provide a detailed description of the following dataset: ALG514 |
MAWPS | **MAWPS** is an online repository of Math Word Problems, to provide a unified testbed to evaluate different algorithms.
MAWPS allows for the automatic construction of datasets with particular characteristics, providing tools for tuning the lexical and template overlap of a dataset as well as for filtering ungrammatica... | Provide a detailed description of the following dataset: MAWPS |
Eth-ICO | The sampled 2-hop subgraphs centered on ICO-wallet accounts on the Ethereum Interaction graph. | Provide a detailed description of the following dataset: Eth-ICO |
MSLR-WEB30K | The **MSLR-WEB30K** dataset consists of 30,000 search queries over the documents from search results. The data also contains the values of 136 features and a corresponding user-labeled relevance factor on a scale of one to five with respect to each query-document pair. | Provide a detailed description of the following dataset: MSLR-WEB30K |
Eth-Exchange | The sampled 2-hop subgraphs centered on Exchange accounts on the Ethereum Interaction graph. | Provide a detailed description of the following dataset: Eth-Exchange |
Eth-Mining | The sampled 2-hop subgraphs centered on Mining accounts on the Ethereum Interaction graph. | Provide a detailed description of the following dataset: Eth-Mining |
Eth-Phish/Hack | The sampled 2-hop subgraphs centered on Phish/Hack accounts on the Ethereum Interaction graph. | Provide a detailed description of the following dataset: Eth-Phish/Hack |
EOSIO-Robot | The sampled 2-hop subgraphs centered on Robot accounts on the EOSIO Interaction graph. | Provide a detailed description of the following dataset: EOSIO-Robot |
Censored_Planet_Quack | Hyperquack v.2 response data which contains structured data records in JSON.
Censored Planet at the University of Michigan provides this data, which are records of internet censorship test requests using the Echo protocol, and notes:
> The raw data posted here needs to be processed to avoid false inferences. Pl... | Provide a detailed description of the following dataset: Censored_Planet_Quack |
MultiCoNER | **MultiCoNER** is a large multilingual dataset (11 languages) for Named Entity Recognition. It is designed to represent some of the contemporary challenges in NER, including low-context scenarios (short and uncased text), syntactically complex entities such as movie titles, and long-tail entity distributions. | Provide a detailed description of the following dataset: MultiCoNER |
MLP | **Multimodal Lecture Presentations** (**MLP**) is a large-scale benchmark dataset for testing the capabilities of machine learning models in multimodal understanding of educational content. To benchmark the understanding of multimodal information in lecture slides, two research tasks are introduced; they are designed ... | Provide a detailed description of the following dataset: MLP |
Regressors-Regressions Dataset | This dataset is a collection of 5348 links from bug-introducing and bug-fixing commit sets extracted from Mozilla's [Bugzilla](https://bugzilla.mozilla.org) with the use of [bugbug](https://github.com/mozilla/bugbug). In this repository, you will find two shapes of it:
1. A CSV file containing all the information re... | Provide a detailed description of the following dataset: Regressors-Regressions Dataset |
REFUGE2 | The goal of REFUGE2 challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a standard dataset of retinal fundus images.
We invite the medical image analysis community to participate by developing and testing existing and novel automated classification and s... | Provide a detailed description of the following dataset: REFUGE2 |
GAMMA Challenge | GAMMA releases the world's first multi-modal dataset for glaucoma grading, which was provided by the Sun Yat-sen Ophthalmic Center of Sun Yat-sen University in Guangzhou, China. The dataset consists of 2D fundus images and 3D optical coherence tomography (OCT) images of 300 patients. The dataset was annotated with glau... | Provide a detailed description of the following dataset: GAMMA Challenge |
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