dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Parkour-dataset | The LAAS Parkour dataset contains 28 RGB videos capturing human subjects performing four typical parkour techniques: safety-vault, kong vault, pull-up and muscle-up. These are highly dynamic motions with rich contact interactions with the environment. The dataset is provided with the ground truth 3D positions of 16 pre... | Provide a detailed description of the following dataset: Parkour-dataset |
REALY | The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets.
Given the reconstructed mesh from the 2D image in REALY by a specific method, the REALY benchmark calculates the... | Provide a detailed description of the following dataset: REALY |
Locount | Loucount is a retail object detection and and counting dataset with rich annotations in retail stores, which consists of 50, 394 images with more than 1.9 million object instances in 140 categories | Provide a detailed description of the following dataset: Locount |
Replication Data for: Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies | Audiogram data based on a "gold standard" audiometer and the uHear iOS application of 163 participants | Provide a detailed description of the following dataset: Replication Data for: Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies |
VisRecall | Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far.
We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset con... | Provide a detailed description of the following dataset: VisRecall |
Phrase-in-Context | Phrase in Context is a curated benchmark for phrase understanding and semantic search, consisting of three tasks of increasing difficulty: Phrase Similarity (PS), Phrase Retrieval (PR) and Phrase Sense Disambiguation (PSD). The datasets are annotated by 13 linguistic experts on Upwork and verified by two groups: ~1000 ... | Provide a detailed description of the following dataset: Phrase-in-Context |
PoserNet ECCV 2022 data | This data is derived from the 7Scenes dataset.
It contains graphs used for training PoserNet and for evaluating its performance. | Provide a detailed description of the following dataset: PoserNet ECCV 2022 data |
RSBlur | The RSBlur dataset provides pairs of real and synthetic blurred images with ground truth sharp images. The dataset enables the evaluation of deblurring methods and blur synthesis methods on real-world blurred images. Training, validation, and test sets consist of 8,878, 1,120, and 3,360 blurred images, respectively. | Provide a detailed description of the following dataset: RSBlur |
UHDM | The first ultra-high-definition image demoireing dataset, consisting of 4,500 4K resolution training pairs and 500 standard 4K resolution validation pairs. | Provide a detailed description of the following dataset: UHDM |
ELEVATER | The ELEVATER benchmark is a collection of resources for training, evaluating, and analyzing language-image models on image classification and object detection. ELEVATER consists of:
- Benchmark: A benchmark suite that consists of 20 image classification datasets and 35 object detection datasets, augmented with exter... | Provide a detailed description of the following dataset: ELEVATER |
Oracle-MNIST | We introduce the Oracle-MNIST dataset, comprising of 2828 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern classification, with particular challenges on image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per clas... | Provide a detailed description of the following dataset: Oracle-MNIST |
HelixNet | Large-scale and open-access LiDAR dataset intended for the evaluation of real-time semantic segmentation algorithms. In contrast to other large-scale datasets, HelixNet includes fine-grained data about the sensor's rotation and position, as well as the points' release time. | Provide a detailed description of the following dataset: HelixNet |
MNIST Multiview Datasets | MNIST Multiview Datasets
========================
MNIST is a publicly available dataset consisting of 70, 000 images of handwritten digits distributed over
ten classes. We generated 2 four-view datasets where each view is a vector of R<sup>14 x 14</sup>:
* MNIST<sub>1</sub>: It is generated by considering 4 qu... | Provide a detailed description of the following dataset: MNIST Multiview Datasets |
Long Range Graph Benchmark (LRGB) | The Long Range Graph Benchmark (LRGB) is a collection of 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. The 5 datasets in this benchmark can be used to prototype new models that can capture long range dependencies in graphs.
| Dataset | Domain | ... | Provide a detailed description of the following dataset: Long Range Graph Benchmark (LRGB) |
KonIQ-10k | **KonIQ-10k** is a large-scale IQA dataset consisting of 10,073 quality scored images. This is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators. Through the use of crowdsourcing, we obtained 1.2 millio... | Provide a detailed description of the following dataset: KonIQ-10k |
KADID-10k | Konstanz artificially distorted image quality database (KADID-10k) contains 81 pristine images, each degraded by 25 distortions in 5 levels. | Provide a detailed description of the following dataset: KADID-10k |
HELMET | The HELMET dataset contains 910 videoclips of motorcycle traffic, recorded at 12 observation sites in Myanmar in 2016. Each videoclip has a duration of 10 seconds, recorded with a framerate of 10fps and a resolution of 1920x1080. The dataset contains 10,006 individual motorcycles, surpassing the number of motorcycles a... | Provide a detailed description of the following dataset: HELMET |
MAVERICS | **Manually vAlidated Vq2a Examples fRom Image/Caption datasetS** (**MAVERICS**) is a suite of test-only visual question answering datasets. | Provide a detailed description of the following dataset: MAVERICS |
Urban Hyperspectral Image | Urban is one of the most widely used hyperspectral data used in the hyperspectral unmixing study. There are 307x307 pixels, each of which corresponds to a 2x2 m2 area. In this image, there are 210 wavelengths ranging from 400 nm to 2500 nm, resulting in a spectral resolution of 10 nm. After the channels 1-4, 76, 87, 10... | Provide a detailed description of the following dataset: Urban Hyperspectral Image |
EgoProceL | EgoProceL is a large-scale dataset for procedure learning. It consists of 62 hours of egocentric videos recorded by 130 subjects performing 16 tasks for procedure learning. EgoProceL contains videos and key-step annotations for multiple tasks from CMU-MMAC, EGTEA Gaze+, and individual tasks like toy-bike assembly, tent... | Provide a detailed description of the following dataset: EgoProceL |
PSG Dataset | PSG dataset has 48749 images with 133 object classes (80 objects and 53 stuff) and 56 predicate classes. It annotates inter-segment relations based on COCO panoptic segmentation. | Provide a detailed description of the following dataset: PSG Dataset |
DEAP City Dataset | [comment]:<> (Data for the paper "Deciphering Environmental Air Pollution with Large Scale City Data")
## Main Dataset
`city_pollution_data.csv`
Relevant Columns:
* `Date`: Date of the sample
* `City`: City of the sample
* `X_median`: Median value of the pollutant/meteorological feature X for the day
* `m... | Provide a detailed description of the following dataset: DEAP City Dataset |
Breast Lesion Detection in Ultrasound Videos (CVA-Net) | The **breast lesion detection in ultrasound videos** dataset uses a clip-level and video-level feature aggregated network (CVA-Net) and consists of 188 ultrasound videos, of which 113 are labeled malignant and 75 benign. Overall these consist of 25,272 ultrasound images in total with the number of images for each video... | Provide a detailed description of the following dataset: Breast Lesion Detection in Ultrasound Videos (CVA-Net) |
Western Mediterranean Wetlands Birds - Version 2 | The **Western Mediterranean Wetlands Bird** Dataset is a collection of birds' vocalizations of different lengths that primarily consists of 5,795 labelled audio clips derived from 1,098 recordings, totalling 201.6 minutes or 12,096 seconds alongside with corresponding annotations. It also comes with Mel spectrogram ver... | Provide a detailed description of the following dataset: Western Mediterranean Wetlands Birds - Version 2 |
UMass Citation Field Extraction | The **University of Massachusetts Amherst citation field extraction** dataset contains labels and segments for extracted citations from articles found on arXiv. Compared to previous standard datasets in citation field extraction, this one had 4 times more data and provided detailed nested labels rather than coarse-gra... | Provide a detailed description of the following dataset: UMass Citation Field Extraction |
27 Class ASL Sign Language | This **27 Class American Sign Language-based** dataset consists of photographs collected from 173 individuals asked to display gestures with their hands. Using a camera, these were taken to a 3024 by 3024 pixels frame size within RGB color space. 130 photos were taken from each person, 5 per class (minor changes on sam... | Provide a detailed description of the following dataset: 27 Class ASL Sign Language |
AIH | AIH is created for hand deocclusion and removal. | Provide a detailed description of the following dataset: AIH |
Genocide Transcript Corpus (GTC): Topic-Based Paragraph Classification in Genocide-Related Court Transcripts | The **Topic-Based Paragraph Classification in Genocide-Related Court Transcripts (GTC)** dataset is the first reference corpus annotated with samples from genocide tribunals in different international criminal courts. It is made up of witness statements about violence experienced. The material consists of 1475 text pas... | Provide a detailed description of the following dataset: Genocide Transcript Corpus (GTC): Topic-Based Paragraph Classification in Genocide-Related Court Transcripts |
Visual Knowledge Tracing | **Visual Knowledge Tracing** contains images and human response data for a visual classification task on three datasets. Datasets are intended to serve as benchmark for visual knowledge tracing algorithms. | Provide a detailed description of the following dataset: Visual Knowledge Tracing |
Reflective essays on CS TA experience | Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180... | Provide a detailed description of the following dataset: Reflective essays on CS TA experience |
12 Scenes | Dataset containing RGB-D data of 4 large scenes, comprising a total of 12 rooms, for the purpose of RGB and RGB-D camera relocalization.
The RGB-D data was captured using a Structure.io depth sensor coupled with an iPad color camera.
Each room was scanned multiple times, with the multiple sequences run through a glob... | Provide a detailed description of the following dataset: 12 Scenes |
CelebV-HQ | **CelebV-HQ** is a large-scale video facial attributes dataset with annotations. CelebV-HQ contains 35,666 video clips involving 15,653 identities and 83 manually labeled facial attributes covering appearance, action, and emotion.
GitHub repository: [https://github.com/celebv-hq/celebv-hq]( https://github.com/celebv... | Provide a detailed description of the following dataset: CelebV-HQ |
S2B | Suite of OpenAI Gym-compatible multi-agent reinforcement learning environment centered around meta-referential games to benchmark for behavioral traits pertaining to symbolic behaviours, as described in [Santoro et al., 2021, "Symbolic Behaviours in Artificial Intelligence"](https://arxiv.org/abs/2102.03406), with a pr... | Provide a detailed description of the following dataset: S2B |
ScanNet200 | The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene understanding benchmarks. The source of scene data is identical to ScanNet, but parses a larger vocabulary for semantic and instance segmentation | Provide a detailed description of the following dataset: ScanNet200 |
Real-time Election Results: Portugal 2019 Data Set | Data Set Information:
A data set describing the evolution of results in the Portuguese Parliamentary Elections of October 6th 2019.
The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral event.
The data set is tailored... | Provide a detailed description of the following dataset: Real-time Election Results: Portugal 2019 Data Set |
YouTube-Hands | **YouTube-Hands** includes 240 videos which are annotated with hand trajectories. | Provide a detailed description of the following dataset: YouTube-Hands |
MSU NR VQA Database | The dataset was created for video quality assessment problem. It was formed with 36 clips from Vimeo, which were selected from 18,000+ open-source clips with high bitrate (license CCBY or CC0).
The clips include videos recorded by both professionals and amateurs. Almost half of the videos contain scene changes and ... | Provide a detailed description of the following dataset: MSU NR VQA Database |
PCSOD | It is a new proposed dataset for point cloud salient object detection that has 2000 training samples and 872 testing samples. | Provide a detailed description of the following dataset: PCSOD |
Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations | This dataset contains the data used for all statistical comparisons in our ICSV 2022 submission "Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations", summarised in a single .csv file.
<br><br>
To obtain the data in this dataset, 17 participants were invited to each rate 27 stimu... | Provide a detailed description of the following dataset: Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations |
SCVD | We create a new benchmark called the Smart-City CCTV Violence Detection dataset (SCVD). Current datasets for violence detection contain videos recorded from phone cameras which could alter the needed CCTV distributions. Furthermore, this dataset contains weaponized violence class so it could be used by DNNs to learn th... | Provide a detailed description of the following dataset: SCVD |
VITON-HD | **VITON-HD** dataset is a dataset for high-resolution (i.e., 1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view woman and top clothing image pairs. | Provide a detailed description of the following dataset: VITON-HD |
AnimeCeleb | We present a novel Animation CelebHeads dataset (AnimeCeleb) to address an animation head reenactment. Different from previous animation head datasets, we utilize 3D animation models as the controllable image samplers, which can provide a large amount of head images with their corresponding detailed pose annotations. T... | Provide a detailed description of the following dataset: AnimeCeleb |
Multiface | **Multiface** consists of high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with capture rate at 30 fps. Each frame includes roughly 40 (v1) to 160 (v2) dif... | Provide a detailed description of the following dataset: Multiface |
GBUSV | ### Description
GBUSV is a un-annotated dataset consisting of ultrasound videos of of patients with either of a malignant or a non-malignant gallbladder. The ultrasound videos were obtained from patients referred to the radiology department of PGIMER, Chandigarh (a high-input hospital in Northern India) for abdomina... | Provide a detailed description of the following dataset: GBUSV |
DNA mutations | In bioinformatics, the issue of mutation discovery and type determination remains a significant concern. The problem is divided by the researchers into binary classification and multi-class problems. When the user wants to know if the DNA sequence has been altered, the issue is a binary classification problem. When it ... | Provide a detailed description of the following dataset: DNA mutations |
NMED-H | The NMED-H dataset contains scalp EEG responses recorded from 48 adults as they heard intact and scrambled
versions of full-length vocal works (Hindi pop songs). Sixteen stimuli were included in the experiment: Four songs
in four conditions per song. Twelve participants were assigned to each stimulus, and each partic... | Provide a detailed description of the following dataset: NMED-H |
Compressive measurements DD-CASSI | We capture some hyperspectral images in our lab using the multishot DD-CASSI architecture. The algorithm can be found on GitHub | Provide a detailed description of the following dataset: Compressive measurements DD-CASSI |
KID-F | # Description
K-pop Idol Dataset - Female (KID-F) is the first dataset of K-pop idol high quality face images. It consists of about 6,000 high quality face images at 512x512 resolution and identity labels for each image.
We collected about 90,000 K-pop female idol images and crop the face from each image. And we cl... | Provide a detailed description of the following dataset: KID-F |
VideoLQ | VideoLQ consists of videos downloaded from various video hosting sites such as Flickr and YouTube, with a Creative Common license. | Provide a detailed description of the following dataset: VideoLQ |
RFMiD | According to the WHO, World report on vision 2019, the number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. The world faces considerable challenges in terms of eye care, including inequ... | Provide a detailed description of the following dataset: RFMiD |
Retinal Fundus MultiDisease Image Dataset (RFMiD) | According to the WHO, World report on vision 2019, the number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. The world faces considerable challenges in terms of eye care, including inequ... | Provide a detailed description of the following dataset: Retinal Fundus MultiDisease Image Dataset (RFMiD) |
BACC-18 | The developed BACC-18 contains the text of 18 famous authors of Bengali literature. To build this corpus, we crawled texts from four online sources namely NLTR society for natural language technology research [36], Ebanglalibrary [37], Git repository [38] and Blogs [39]–[40][41]. The maximum number of texts (13,308) ar... | Provide a detailed description of the following dataset: BACC-18 |
Two Coiling Spirals | The two Coiling Spiral is a 2d classification dataset composed of two classes; each spiral corresponds to one class.
Gaussian noise can be added resulting in a greater thickness of the spiral. | Provide a detailed description of the following dataset: Two Coiling Spirals |
Pavementscapes | **Pavementscapes** is a large-scale dataset to develop and evaluate methods for pavement damage segmentation. It is comprised of 4,000 images with a resolution of 1024×2048, which have been recorded in the real-world pavement inspection projects with 15 different pavements. A total of 8,680 damage instances are manuall... | Provide a detailed description of the following dataset: Pavementscapes |
Fashion4Events | A dataset of fashion images for social events
To collect Fashion4Events, a dataset of garment images paired with social event labels, we exploited two different sources of data: the DeepFashion2 dataset and the USED dataset. Each image is paired with a social event category among the following:
orig_class_names =... | Provide a detailed description of the following dataset: Fashion4Events |
ViQuAE | ViQuAE is a dataset for KVQAE (Knowledge-based Visual Question Answering about named Entities), a task which consists in answering questions about named entities grounded in a visual context using a Knowledge Base. It is the first KVQAE dataset to cover a wide range of entity types (e.g. persons, landmarks, and produc... | Provide a detailed description of the following dataset: ViQuAE |
French Dialect Samples | We collated subcorpora each between 50,000 and 70,000 words, containing samples of national dialects of French across different countries: Algeria, Democratic Republic of Congo, France, Ivory Coast, Morocco and Senegal. | Provide a detailed description of the following dataset: French Dialect Samples |
LGI-PPGI | LGI-PPGI is a dataset for heart Rate estimation from face videos in the wild. | Provide a detailed description of the following dataset: LGI-PPGI |
GAFA | We introduce a new dataset of annotated surveillance videos of freely moving people taken from a distance in both indoor and outdoor scenes. The videos are captured with multiple cameras placed in eight different daily environments. People in the videos undergo large pose variations and are frequently occluded by vario... | Provide a detailed description of the following dataset: GAFA |
Cryptocurrency User Attitudes Towards the Environmental Impact of Proof-of-Work in Nigeria: Online Survey Results | The "Cryptocurrency User Attitudes Towards the Environmental Impact of Proof-of-Work in Nigeria" online survey is a convenience sample survey of residents of Nigeria aged 16 and over that have participated in Bitcoin transactions in the past. Between November 2021 and March 2022, participants were asked their opinions ... | Provide a detailed description of the following dataset: Cryptocurrency User Attitudes Towards the Environmental Impact of Proof-of-Work in Nigeria: Online Survey Results |
Swissmetro | A Stated Preference Survey on mode choice
https://transp-or.epfl.ch/documents/technicalReports/CS_SwissmetroDescription.pdf | Provide a detailed description of the following dataset: Swissmetro |
The Game of 2048 | The 2048 game task involves training an agent to achieve high scores in the game [2048 (Wikipedia)](https://en.wikipedia.org/wiki/2048_(video_game)) | Provide a detailed description of the following dataset: The Game of 2048 |
Ultra-processed Food Dataset | The raw data are obtained from an industrial plant for ultra-processed food production. The sampling was carried
out every 5 minutes while the total production cycle takes
approximately 3 hours, from raw ingredients to final semi-
finished products. The extracted data represent approximately
80 days of production. ... | Provide a detailed description of the following dataset: Ultra-processed Food Dataset |
Auditory Detection of Sound (ADS) | Test dataset for unsupervised anomaly detection in sound (ADS). | Provide a detailed description of the following dataset: Auditory Detection of Sound (ADS) |
Sequence Consistency Evaluation (SCE) tests | Sequence Consistency Evaluation (SCE) consists of a benchmark task for sequence consistency evaluation (SCE). | Provide a detailed description of the following dataset: Sequence Consistency Evaluation (SCE) tests |
Bone Age | At RSNA 2017 there was a contest to correctly identify the age of a child from an X-ray of their hand. | Provide a detailed description of the following dataset: Bone Age |
PodcastFillers | The PodcastFillers dataset consists of 199 full-length podcast episodes in English with manually annotated filler words and automatically generated transcripts. The podcast audio recordings, sourced from SoundCloud, are CC-licensed, gender-balanced, and total 145 hours of audio from over 350 speakers. The annotations a... | Provide a detailed description of the following dataset: PodcastFillers |
MPHOI-72 | MPHOI-72 is a multi-person human-object interaction dataset that can be used for a wide variety of HOI/activity recognition and pose estimation/object tracking tasks. The dataset is challenging due to many body occlusions among the humans and objects. It consists of 72 videos captured from 3 different angles at 30 fps,... | Provide a detailed description of the following dataset: MPHOI-72 |
NeRF | Neural Radiance Fields (NeRF) is a method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. The dataset contains three parts with the first 2 being synthetic renderings of objects called Diffuse Synthetic 360◦ and Realistic... | Provide a detailed description of the following dataset: NeRF |
LLFF | Local Light Field Fusion (LLFF) is a practical and robust deep learning solution for capturing and rendering novel views of complex real-world scenes for virtual exploration. The dataset consists of both renderings and real images of natural scenes. The synthetic images are rendered from the SUNCG and UnrealCV where SU... | Provide a detailed description of the following dataset: LLFF |
Mip-NeRF 360 | Mip-NeRF 360 is an extension to the Mip-NeRF that uses a non-linear parameterization, online distillation, and a novel distortion-based regularize to overcome the challenge of unbounded scenes. The dataset consists of 9 scenes with 5 outdoors and 4 indoors, each containing a complex central object or area with a detail... | Provide a detailed description of the following dataset: Mip-NeRF 360 |
VLN-CE | Vision and Language Navigation in Continuous Environments (VLN-CE) is an instruction-guided navigation task with crowdsourced instructions, realistic environments, and unconstrained agent navigation. The dataset consists of 4475 trajectories converted from Room-to-Room train and validation splits. For each trajectory, ... | Provide a detailed description of the following dataset: VLN-CE |
ImageCoDe | Given 10 minimally contrastive (highly similar) images and a complex description for one of them, the task is to retrieve the correct image.
The source of most images are videos and descriptions as well as retrievals come from human. | Provide a detailed description of the following dataset: ImageCoDe |
WHU Building Dataset | We manually edited an aerial and a satellite imagery dataset of building samples and named it a WHU building dataset. The aerial dataset consists of more than 220, 000 independent buildings extracted from aerial images with 0.075 m spatial resolution and 450 km2 covering in Christchurch, New Zealand. The satellite imag... | Provide a detailed description of the following dataset: WHU Building Dataset |
Handwritten Devanagari Character Recognition | This is an image database of Handwritten Devanagari characters. There are 46 classes of characters with 2000 examples each. The dataset is split into training set(85%) and testing set(15%).
Citation: S. Acharya, A.K. Pant and P.K. Gyawali Deep Learning Based Large Scale Handwritten Devanagari Character Recognition... | Provide a detailed description of the following dataset: Handwritten Devanagari Character Recognition |
H2O (2 Hands and Objects) | We present a comprehensive framework for egocentric interaction recognition using markerless 3D annotations of two hands manipulating objects. To this end, we propose a method to create a unified dataset for egocentric 3D interaction recognition. Our method produces annotations of the 3D pose of two hands and the 6D po... | Provide a detailed description of the following dataset: H2O (2 Hands and Objects) |
OpenTTGames | OSAI introduces OpenTTGames - an open dataset aimed at evaluation of different computer vision tasks in Table Tennis: ball detection, semantic segmentation of humans, table and scoreboard and fast in-game events spotting.
It includes full-HD videos of table tennis games recorded at 120 fps with an industrial camera.... | Provide a detailed description of the following dataset: OpenTTGames |
FullTextPeerRead | FullTextPeerRead is a dataset created by Jeong et al. for context-aware citation recommendation. It contains context sentences to cited references and paper metadata, which makes it a well-organized dataset for a context-aware paper recommendation.
From paper: A context-aware citation recommendation model with BERT ... | Provide a detailed description of the following dataset: FullTextPeerRead |
arXiv-200 | A newly proposed dataset for local citation recommendation, consisting of 3.2 million local citation sentences along
with the title and the abstract of both the citing and the cited papers. Around 1.66 million papers' titles and abstracts are available in the database. | Provide a detailed description of the following dataset: arXiv-200 |
MIMIC PERform Testing Dataset | The MIMIC PERform Testing dataset contains the following physiological signals recorded from 200 critically-ill patients during routine clinical care:
- electrocardiogram (ECG)
- photoplethysmogram (PPG)
- impedance pneumography (imp), also known as respiratory (resp)
- (in some cases) arterial blood pressure (ab... | Provide a detailed description of the following dataset: MIMIC PERform Testing Dataset |
HuTics | HuTics contains 2040 images showing how humans use deictic gestures to interact with various daily-life objects. The images are annotated by segmentation masks of the object(s) of interest. The original purpose of the data collection is for gesture-aware object-agnostic segmentation tasks. | Provide a detailed description of the following dataset: HuTics |
Wendi | Null | Provide a detailed description of the following dataset: Wendi |
IMDB-WIKI | https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/ | Provide a detailed description of the following dataset: IMDB-WIKI |
ICBHI Respiratory Sound Database | The Respiratory Sound database was originally compiled to support the scientific challenge organized at Int. Conf. on Biomedical Health Informatics - ICBHI 2017.
The database consists of a total of 5.5 hours of recordings containing 6898 respiratory cycles, of which 1864 contain crackles, 886 contain wheezes, and 50... | Provide a detailed description of the following dataset: ICBHI Respiratory Sound Database |
MOS Dataset | This dataset was used in the paper 'Template-based Abstractive Microblog Opinion Summarisation' (to be published at TACL, 2022). The data is structured as follows: each file represents a cluster of tweets which contains the tweet IDs and a summary of the tweets written by journalists. The gold standard summary follows ... | Provide a detailed description of the following dataset: MOS Dataset |
Box-Jenkins | Box-Jenkins gas furnace, a well-known time series forecasting problem | Provide a detailed description of the following dataset: Box-Jenkins |
Air Quality Index | The AQI dataset is collected from 12 observing stations around Beijing from year 2013 to 2017. The data is accessible at The University of California, Irvine (UCI) Machine Learning Repository. | Provide a detailed description of the following dataset: Air Quality Index |
32vis | Dataset for the 32 years of IEEE VIS | Provide a detailed description of the following dataset: 32vis |
Bus Stop Spacings for Transit Providers in the US | Transit agencies use the General Transit Feed Specification (GTFS) to publish transit data. More and more cities across the globe are adopting this GTFS format to represent their transit network. However, the GTFS format is not convenient as the information is spread across multiple files and is cumbersome with rules. ... | Provide a detailed description of the following dataset: Bus Stop Spacings for Transit Providers in the US |
mini-Imagenet | mini-Imagenet is proposed by **Matching Networks for One Shot Learning
. In NeurIPS, 2016**. This dataset consists of 50000 training images and 10000 testing images, evenly
distributed across 100 classes. | Provide a detailed description of the following dataset: mini-Imagenet |
OASIS-1 | The Open Access Series of Imaging Studies (OASIS) is a project aimed at making neuroimaging data sets of the brain freely available to the scientific community. By compiling and freely distributing neuroimaging data sets, we hope to facilitate future discoveries in basic and clinical neuroscience.
OASIS-1 set consis... | Provide a detailed description of the following dataset: OASIS-1 |
ZJU-MoCap | LightStage is a multi-view dataset, which is proposed in NeuralBody. This dataset captures multiple dynamic human videos using a multi-camera system that has 20+ synchronized cameras. The humans perform complex motions, including twirling, Taichi, arm swings, warmup, punching, and kicking. We provide the SMPL-X paramet... | Provide a detailed description of the following dataset: ZJU-MoCap |
Bengali Ekman's Six Basic Emotions Corpus | The dataset contains 36000 Bangla data based on Ekman's six basic emotions. This data was first introduced in the paper Alternative non-BERT model choices for the textual classification in low-resource languages and environments. The whole dataset is balanced and evenly distributed among all the six classes. | Provide a detailed description of the following dataset: Bengali Ekman's Six Basic Emotions Corpus |
RSCD: Large-scale Road Surface Classification Dataset for Autonomous Vehicles | The preview of the road surface states is essential for improving the safety and the ride comfort of autonomous vehicles. This dataset consists of 1 million (240 x 360 pixels) road surface images captured under a wide range of road and weather conditions in China. The original pictures are acquired with a vehicle-mount... | Provide a detailed description of the following dataset: RSCD: Large-scale Road Surface Classification Dataset for Autonomous Vehicles |
An Extension of XNLI | https://github.com/salesforce/xnli_extension | Provide a detailed description of the following dataset: An Extension of XNLI |
EBB! | This dataset contains around 5K pairs of aligned images captured using Canon 70D DSLR with low and high apertures, modeling normal photos and photos with bokeh (blur) effect. The height of each image in the dataset is 1024 pixels, the width varies over the images. | Provide a detailed description of the following dataset: EBB! |
ImageNet ctest10k | Colorization validation set for unconditional/conditional colorization tasks.
Subset of the ImageNet validation images and excludes andy grayscale single-channel images. | Provide a detailed description of the following dataset: ImageNet ctest10k |
Flickr-8k | Contains 8k flickr Images with captions. Visit [this](http://hockenmaier.cs.illinois.edu/8k-pictures.html) page to explore the data.
Cite this paper if you find it useful in your research: [Framing image description as a ranking task: data, models and evaluation metrics](http://hockenmaier.cs.illinois.edu/Framing_I... | Provide a detailed description of the following dataset: Flickr-8k |
KRAUTS | KRAUTS (Korpus of newspapeR Articles with Underlinded Temporal expressionS) is a German temporally annotated news corpus accompanied with TimeML annotation guidelines for German. It was developed at Fondazione Bruno Kessler, Trento, Italy and at the Max Planck Institute for Informatics, Saarbrücken, Germany. Our goal i... | Provide a detailed description of the following dataset: KRAUTS |
TimeBankPT | TimeBankPT is a corpus of Portuguese text with annotations about time. The annotation scheme used is similar to TimeML. TimeBankPT is the result of adapting the English corpus used in the first TempEval challenge to the Portuguese language.
In what regards the temporal relaiton type, the corpus was annotated with *s... | Provide a detailed description of the following dataset: TimeBankPT |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.