dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
Graph dataset MCF-7 | Dataset introduced by Xifeng Yan et al.
in: SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, June 2008, Pages 433–444, https://doi.org/10.1145/1376616.1376662
The dataset is now hosted by TUD.
The dataset consists of small molecules activities against breast cance... | Provide a detailed description of the following dataset: Graph dataset MCF-7 |
IRV2V | To facilitate research on asynchrony for collaborative perception, we simulate the first collaborative perception dataset with different temporal asynchronies based on CARLA, named IRregular V2V(IRV2V). We set 100ms as ideal sampling time interval and simulate various asynchronies in real-world scenarios from two main ... | Provide a detailed description of the following dataset: IRV2V |
PJM(AEP) | PJM Hourly Energy Consumption Data
PJM Interconnection LLC (PJM) is a regional transmission organization (RTO) in the United States. It is part of the Eastern Interconnection grid operating an electric transmission system serving all or parts of Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, No... | Provide a detailed description of the following dataset: PJM(AEP) |
MMface4D | MMFace4D is a large-scale multi-modal 4D (3D sequence) face dataset consisting of 431 identities, 35,904 sequences, and 3.9 million frames
MMFace4D has three appealing characteristics: 1) highly diversified subjects and corpus, 2) synchronized audio and 3D mesh sequence with high-resolution face details, and 3) low st... | Provide a detailed description of the following dataset: MMface4D |
PIE-Bench | PIE-Bench comprises 700 images featuring 10 distinct editing types. Images are evenly distributed in natural and artificial scenes (e.g., paintings) among four categories: animal, human, indoor, and outdoor. Each image in PIE-Bench includes five annotations: source image prompt, target image prompt, editing instruction... | Provide a detailed description of the following dataset: PIE-Bench |
IMCPT-SparseGM-50 | IMCPT-SparseGM dataset is a new visual graph matching benchmark addressing partial matching and graphs with larger sizes, based on the novel stereo benchmark [Image Matching Challenge PhotoTourism (IMC-PT) 2020](https://www.cs.ubc.ca/research/image-matching-challenge/2020/). This dataset is released in CVPR 2023 pape... | Provide a detailed description of the following dataset: IMCPT-SparseGM-50 |
MM-Vet | MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities | Provide a detailed description of the following dataset: MM-Vet |
IMCPT-SparseGM-100 | IMCPT-SparseGM dataset is a new visual graph matching benchmark addressing partial matching and graphs with larger sizes, based on the novel stereo benchmark [Image Matching Challenge PhotoTourism (IMC-PT) 2020](https://www.cs.ubc.ca/research/image-matching-challenge/2020/). This dataset is released in CVPR 2023 pape... | Provide a detailed description of the following dataset: IMCPT-SparseGM-100 |
MCCSD | This MCCS dataset is the first large-scale Mandarin Chinese Cued Speech dataset. This dataset covers 23 major categories of scenarios (e.g, communication, transportation and shoping) and 72 subcategories of scenarios (e.g, meeting, dating and introduction). It is recorded by four skilled native Mandarn Chinese Cued Spe... | Provide a detailed description of the following dataset: MCCSD |
LDCT-and-Projection-data | LDCT-and-Projection-data 医学去噪数据集 | Provide a detailed description of the following dataset: LDCT-and-Projection-data |
Celeb-HQ Facial Identity Recognition Dataset | Celeb-HQ Facial Identity Recognition Dataset
* This dataset is curated for the facial identity classification task.
* There are 307 identities (celebrities).
* Each identity has 15 or more images.
* The dataset contains 5,478 images.
* There are 4,263 training images.
* There are 1,215 test images. | Provide a detailed description of the following dataset: Celeb-HQ Facial Identity Recognition Dataset |
Celeb-HQ Face Gender Recognition Dataset | Celeb-HQ Face Gender Recognition Dataset
* This dataset is curated for the face gender classification task.
* The dataset contains 30,000 images.
* There are 23,999 train images.
* There are 6,001 test images.
* The whole face images are divided into two classes.
* There are 11,057 male images.
* There are 18,... | Provide a detailed description of the following dataset: Celeb-HQ Face Gender Recognition Dataset |
LSA-T | LSA-T is the first continuous Argentinian Sign Language (LSA) dataset. It contains 14,880 sentence level videos of LSA extracted from the [CN Sordos YouTube channel](https://www.youtube.com/c/CNSORDOSARGENTINA) with labels and keypoints annotations for each signer. Videos are in 30 FPS full HD (1920x1080).
* [Downlo... | Provide a detailed description of the following dataset: LSA-T |
LSA16 | This database contains images of 16 handshapes of the Argentinian Sign Language (LSA), each performed 5 times by 10 different subjects, for a total of 800 images. The subjects wore color hand gloves and dark clothes.
Recording
The dataset was recorded in an indoors environment, with artificial lightning.
Subject... | Provide a detailed description of the following dataset: LSA16 |
MulRan | MulRan is a dataset for Place Recognition and SLAM. The datasets were recorded in urban areas and contain sensor data of a car that is equipped with a 3D LiDAR (OS1-64) and a rotating radar (Navtech CIR204-H). For each sequence, the car is revisiting places several times. | Provide a detailed description of the following dataset: MulRan |
RWTH-PHOENIX Handshapes dev set | We manually labelled 3359 images from the RWTH-PHOENIX-Weather 2014 Development set.
Some of the 45 encountered pose-independent hand shape classes are depicted in Figure 1. They show the large intra-class variance and the strong similarity between several classes. The hand shapes occur with different frequency in ... | Provide a detailed description of the following dataset: RWTH-PHOENIX Handshapes dev set |
XImageNet-12 | Enlarge the dataset to understand how image background effect the Computer Vision ML model. With the following topics: Blur Background / Segmented Background / AI generated Background/ Bias of tools during annotation/ Color in Background / Dependent Factor in Background/ LatenSpace Distance of Foreground/ Random Backgr... | Provide a detailed description of the following dataset: XImageNet-12 |
RealCQA | RealCQA
Scientific Chart Question Answering as a Test-bed for First-Order Logic | Provide a detailed description of the following dataset: RealCQA |
mBBC dataset | To construct our multilingual dataset - mBBC - we gathered news articles from various BBC news websites in 43 different languages. This selection was based on the fact that BBC broadcasts news in these 43 languages, providing a global coverage across continents, and spanning a diverse range of language families, script... | Provide a detailed description of the following dataset: mBBC dataset |
CodeInstruct | InstructCoder is the first dataset designed to adapt LLMs for general code editing. It consists of over 100k instruction-input-output triplets and covers multiple distinct code editing scenarios, generated by ChatGPT. LLaMA-33B finetuned on InstructCoder performs on par with ChatGPT on a real-world test set derived fro... | Provide a detailed description of the following dataset: CodeInstruct |
ChessReD | The Chess Recognition Dataset (ChessReD) comprises a diverse collection of images of chess formations captured using smartphone cameras; a sensor choice made to ensure real-world applicability. The dataset is accompanied by detailed annotations providing information about the chess pieces formation in the images. There... | Provide a detailed description of the following dataset: ChessReD |
ChessReD2K | The Chess Recognition Dataset 2K (ChessReD2K) comprises a diverse collection of images of chess formations captured using smartphone cameras; a sensor choice made to ensure real-world applicability. The dataset is accompanied by detailed annotations providing information about the chess pieces formation in the images, ... | Provide a detailed description of the following dataset: ChessReD2K |
WU-Minn HCP Data - 1200 Subjects | This HCP data release includes high-resolution 3T MR scans from young healthy adult twins and non-twin siblings (ages 22-35) using four imaging modalities: structural images (T1w and T2w), resting-state fMRI (rfMRI), task-fMRI (tfMRI), and high angular resolution diffusion imaging (dMRI). Behavioral and other individua... | Provide a detailed description of the following dataset: WU-Minn HCP Data - 1200 Subjects |
AjwaOrMedjool | The dataset contains three subsets:
1- a dataset containing hand-crafted features to classify two types of organic dates (Ajwa or Medjool);
2- a dataset containing tabular data with features created automatically using deep learning to classify the two organic date types (Ajwa or Medjool);
3- a dataset for images ... | Provide a detailed description of the following dataset: AjwaOrMedjool |
PDFVQA | PDFVQA: A New Dataset for Real-World VQA on PDF Documents | Provide a detailed description of the following dataset: PDFVQA |
PixelRec | an image cover dataset in short video recommendation | Provide a detailed description of the following dataset: PixelRec |
Creative Visual Storytelling Anthology | The Creative Visual Storytelling Anthology is a collection of 100 author responses to an improved creative visual storytelling exercise over a sequence of three images. Each item contains four facet entries, corresponding to Entity, Scene, Narrative, and Title.
The Creative Visual Storytelling Anthology was collect... | Provide a detailed description of the following dataset: Creative Visual Storytelling Anthology |
SingFake | The rise of singing voice synthesis presents critical challenges to artists and industry stakeholders over unauthorized voice usage. Unlike synthesized speech, synthesized singing voices are typically released in songs containing strong background music that may hide synthesis artifacts. Additionally, singing voices pr... | Provide a detailed description of the following dataset: SingFake |
Cards | Card is a dataset of playing card images, which consists of 8,029 images with two clusterings, i.e., rank (Ace, King, Queen, etc.) and suits (clubs, diamonds, hearts, spades). | Provide a detailed description of the following dataset: Cards |
DSEC | DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global shutter color cameras in favorable and challenging illumination conditions. In addition, we collect Lidar data and RTK GPS measurements, both hardware synchronized with all camera data. One of the di... | Provide a detailed description of the following dataset: DSEC |
ExLPose | We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely corrupted inputs that degrade prediction quality significantly. To address the first issue, we develop a dedicated camera system and build a... | Provide a detailed description of the following dataset: ExLPose |
Vibrating Plates | We present a structured benchmark dataset for a representative vibroacoustic problem: Predicting the frequency response for vibrating plates. The vibrating plates benchmark dataset consists of in total 12,000 varied plate designs and accompanying vibration patterns, when the plates are excited by a harmonic force. Thes... | Provide a detailed description of the following dataset: Vibrating Plates |
QASiNa | Question Answering Sirah Nabawiyah (QASiNa) Dataset is a reading comprehension dataset consists of QA from Sirah Nabawiyah literature in Indonesian Language | Provide a detailed description of the following dataset: QASiNa |
BLEFF | Synthetic (Blender) Dataset for forward facing scenes
Toe vaualte NVS quality and camera parameter accuracy. | Provide a detailed description of the following dataset: BLEFF |
XImageNet | we introduce XIMAGENET-12, an explainable benchmark dataset with over 200K images and 15,600 manual semantic annotations. Covering 12 categories from ImageNet to represent objects commonly encountered in practical life and simulating six diverse scenarios, including overexposure, blurring, color changing, etc., | Provide a detailed description of the following dataset: XImageNet |
iFF | Real-world dataset on forward facing scenes with different camera intrinisc parameters. | Provide a detailed description of the following dataset: iFF |
WinSyn | 75k photos of windows + 21k synthetic renders of building windows. | Provide a detailed description of the following dataset: WinSyn |
Dataset of Paper Corpus | Overview of the scoping review paper corpus, sorted by their diferent intent types, categories, and subcategories. Note: Papers (77) may include multiple unique intents (172) and can therefore appear in multiple categories and subcategories. | Provide a detailed description of the following dataset: Dataset of Paper Corpus |
PAD Dataset | Multi-pose Anomaly Detection (MAD) dataset, which represents the first attempt to evaluate the performance of pose-agnostic anomaly detection. The MAD dataset containing 4,000+ highresolution multi-pose views RGB images with camera/pose information of 20 shape-complexed LEGO animal toys for training, as well as 7,000+ ... | Provide a detailed description of the following dataset: PAD Dataset |
CIC-DDoS2019 | his is an academic intrusion detection dataset.
All the credit goes to the original authors: Dr. Iman Sharafaldin, Dr. Saqib Hakak, Dr. Arash Habibi Lashkari Dr. Ali Ghorbani. Please cite their original paper.
The dataset offers an extended set of Distributed Denial of Service attacks, most of which employ some for... | Provide a detailed description of the following dataset: CIC-DDoS2019 |
Banking_CG | The dataset identifies the shortcomings of existing benchmarks in evaluating the problem of compositional generalization, which underscores the need for the development of datasets tailored to assess compositional generalization in open intent detection tasks. | Provide a detailed description of the following dataset: Banking_CG |
OOS_CG | The dataset identifies the shortcomings of existing benchmarks in evaluating the problem of compositional generalization, which underscores the need for the development of datasets tailored to assess compositional generalization in open intent detection tasks. | Provide a detailed description of the following dataset: OOS_CG |
StackOverflow_CG | The dataset identifies the shortcomings of existing benchmarks in evaluating the problem of compositional generalization, which underscores the need for the development of datasets tailored to assess compositional generalization in open intent detection tasks. | Provide a detailed description of the following dataset: StackOverflow_CG |
SWE-bench | SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution. | Provide a detailed description of the following dataset: SWE-bench |
T$^3$Bench | T$^3$Bench is the first comprehensive text-to-3D benchmark containing diverse text prompts of three increasing complexity levels that are specially designed for 3D generation (300 prompts in total). To assess both the subjective quality and the text alignment, we propose two automatic metrics based on multi-view images... | Provide a detailed description of the following dataset: T$^3$Bench |
LM-KBC 2023 | A diverse set of 21 relations, each covering a different set of subject-entities and a complete list of ground truth object-entities per subject-relation-pair. The total number of object-entities varies for a given subject-relation pair.
This dataset can be used to evaluate knowledge extraction systems. | Provide a detailed description of the following dataset: LM-KBC 2023 |
NewsEdits | News article revision histories provide clues to narrative and factual evolution in news articles. To facilitate analysis of this evolution, we present the first publicly available dataset of news revision histories, NewsEdits. Our dataset is large-scale and multilingual; it contains 1.2 million articles with 4.6 milli... | Provide a detailed description of the following dataset: NewsEdits |
SPKL | The SPKL dataset contains 1203 images of parking lots divided into 11 categories regarding vision conditions (including the 'winter' category absent in other datasets at the time of publishing).
**Parking lot annotations**: lists of parking lot coordinates (4 points per lot)
**Vision categories**: sunny, overca... | Provide a detailed description of the following dataset: SPKL |
POIE | Products for OCR and Information Extraction (POIE) dataset derives from camera images of various products in the real world. The images are carefully selected and manually annotated. Our labeling team consists of 8 experienced labelers. We first crop the nutrition tables from product images and adopt multiple commerci... | Provide a detailed description of the following dataset: POIE |
ESP | ESP dataset (Evaluation for Styled Prompt dataset) is a benchmark for zero-shot domain-conditional caption generation. ESP is a new dataset focusing on providing multiple styled text targets for the same image. It comprises 4.8k captions from 1k images in the COCO Captions test set. We collect five text domains with ev... | Provide a detailed description of the following dataset: ESP |
AndroDrift | Dataset for the paper entitled "Efficient Concept Drift Handling for Batch Android Malware Detection Models". Contains 100 monthly goodware and malware samples between january of 2012 and december of 2019. The training set used consist of samples for the full 2012 year, whereas the remaining data is used for evaluation... | Provide a detailed description of the following dataset: AndroDrift |
Appdroid | Dataset used for the paper entitled "Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning".
##Desciption
The dataset consist of 100 monthly samples of each class (malware, goodware and greyware) during the period starting from Jan... | Provide a detailed description of the following dataset: Appdroid |
RT-Percept Sun Temple | Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sun Temple scene. Generated using the RT-Percept renderer and the RT-Percept scenes. | Provide a detailed description of the following dataset: RT-Percept Sun Temple |
RT-Percept Lumberyard Bistro | Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Lumberyard Bistro scenes. Generated using the RT-Percept renderer and the RT-Percept scenes. | Provide a detailed description of the following dataset: RT-Percept Lumberyard Bistro |
RT-Percept Emerald Square | Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Emerald Square scenes. Generated using the RT-Percept renderer and the RT-Percept scenes. | Provide a detailed description of the following dataset: RT-Percept Emerald Square |
RT-Percept Sibenik Cathedral | Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sibenik Cathedral scene. Generated using the RT-Percept renderer and the RT-Percept scenes. | Provide a detailed description of the following dataset: RT-Percept Sibenik Cathedral |
MathVista | **MathVista** is a consolidated Mathematical reasoning benchmark within Visual contexts. It consists of **three newly created datasets, IQTest, FunctionQA, and PaperQA**, which address the missing visual domains and are tailored to evaluate logical reasoning on puzzle test figures, algebraic reasoning over functional p... | Provide a detailed description of the following dataset: MathVista |
PaviaATN | The PaviaATN data consists of 62 4-channel fluorescence microscopy images of size 2720 × 2720. The four channels, in order, label Nuclei (first two), Actin and Tubulin. It was imaged in the Synthetic Physiology Laboratory(https://www.syntheticphysiologylab.com/) of the University of Pavia, and introduced in μSplit: ima... | Provide a detailed description of the following dataset: PaviaATN |
GroOT | One of the recent trends in vision problems is to use natural language captions to describe the objects of interest. This approach can overcome some limitations of traditional methods that rely on bounding boxes or category annotations. This paper introduces a novel paradigm for Multiple Object Tracking called Type-to-... | Provide a detailed description of the following dataset: GroOT |
Laser Data | This dataset contains two types of audio recordings. The first set of audio recordings consists of MEMS microphone response to acoustic activities (e.g., 19 participants reading provided text in front of the Google Home Smart Assistant). The second set of audio recordings consists of MEMS microphone response to photo-a... | Provide a detailed description of the following dataset: Laser Data |
CommercialAdsDataset | A large commercial Ads Dataset includes 480K labeled query-ad pairwise data with structured information of image, title, seller, description, and so on. | Provide a detailed description of the following dataset: CommercialAdsDataset |
SSCBench | SSCBench establishes a large-scale SSC benchmark in street views that facilitates the training of robust and generalizable SSC models. Overall, SSCBench consists of three subsets, including 38,562 frames for training, 15,798 frames for validation, and 12,553 frames for testing respectively, amounting totally to 66,913 ... | Provide a detailed description of the following dataset: SSCBench |
MSU Video Saliency Prediction | The dataset presents open high-resolution test clips set with different types of content: movie fragments, sport streams, live caption clips. Used clips of 1920×1080 resolution and with duration from 13 to 38 seconds. And Performed reliable data collection from 50 observers (19–24 y. o.) using 500 Hz SMI iViewXTM Hi-S... | Provide a detailed description of the following dataset: MSU Video Saliency Prediction |
3DYoga90 | 3DYoga90 is organized within a three-level label hierarchy. It stands out as one of the most
comprehensive open datasets, featuring the largest collection of RGB videos and 3D skeleton sequences among publicly available resources. | Provide a detailed description of the following dataset: 3DYoga90 |
JoinGym | All possible intermediate result cardinalities for 3300 queries on IMDb. | Provide a detailed description of the following dataset: JoinGym |
EMBED | EMBED contains 364,000 screening and diagnostic mammographic exams for 110,000 patients from four hospitals over an 8-year period. The EMBED AWS Open Data release represents 20% of the dataset divided into two equal cohorts at the patient level. This release of the dataset includes 2D and C-view images. Digital breast ... | Provide a detailed description of the following dataset: EMBED |
Bongard-OpenWorld | Bongard-OpenWorld is a new benchmark for evaluating real-world few-shot reasoning for machine vision. We hope it can help us better understand the limitations of current visual intelligence and facilitate future research on visual agents with stronger few-shot visual reasoning capabilities. | Provide a detailed description of the following dataset: Bongard-OpenWorld |
RainDS | We managede to collect a real-world rain dataset, named RainDS, includinnumerousus image pairs in various lighting conditions and different scenes. Each pair contains four images: a rain streak image, a raindrop image, and an image including both types of rain, as well as their rain-free counterparts. | Provide a detailed description of the following dataset: RainDS |
GPlay:SAppKG | The dataset is from google play store applications containing apps from different Google Play Store categories | Provide a detailed description of the following dataset: GPlay:SAppKG |
Noise-SF | Based on RADDLE and SNIPS , we construct Noise-SF, which includes two different perturbation settings. For single perturbations setting, we include five types of noisy utterances (character-level: \textbf{Typos}, word-level: \textbf{Speech}, and sentence-level: \textbf{Simplification}, \textbf{Verbose}, and \textbf{Par... | Provide a detailed description of the following dataset: Noise-SF |
NurViD | We propose NurViD, a large video dataset with expert-level annotation for nursing procedure activity understanding. NurViD consists of over 1.5k videos totaling 144 hours, making it approximately four times longer than the existing largest nursing activity datasets. Notably, it encompasses 51 distinct nursing procedure... | Provide a detailed description of the following dataset: NurViD |
FDCompCN | A new fraud detection dataset FDCompCN for detecting financial statement fraud of companies in China. We construct a multi-relation graph based on the supplier, customer, shareholder, and financial information disclosed in the financial statements of Chinese companies. These data are obtained from the China Stock Marke... | Provide a detailed description of the following dataset: FDCompCN |
Big-Five Backstage | The dataset consists of 3265 text samples corresponding to the concatenation of lines spoken by fictional characters. Texts are extracted from 400 theatre plays written by 132 different authors. Overall, it contains 3419136 words in total with a mean equal to 1047.2 words per character. Each text entry have binary labe... | Provide a detailed description of the following dataset: Big-Five Backstage |
ELAI-Dust Storm | ### **Context**
As mentioned in the [reference paper](https://ieeexplore.ieee.org/abstract/document/9905145):
*Dust storms are considered a severe meteorological disaster, especially in arid and semi-arid regions, which is characterized by dust aerosol-filled air and strong winds across an extensive area. Every yea... | Provide a detailed description of the following dataset: ELAI-Dust Storm |
AIDA/testc | AIDA/testc is a new challenging test set for entity linking systems containing 131 Reuters news articles published between December 5th and 7th, 2020. It links the named entity mentions in this test set to their corresponding Wikipedia pages, using the same linking procedure employed in the original AIDA CoNLL-YAGO dat... | Provide a detailed description of the following dataset: AIDA/testc |
Replication Package for: Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud | This is our replication package for our study on Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud.
All scalability experiments are performed with the scalability benchmarking framework Theodolite at Kiel University's Software Performance Engineering Lab (SPEL) or Google... | Provide a detailed description of the following dataset: Replication Package for: Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud |
MuLMS-AZ | The Multi-Layer Materials Science Argumentative Zoning (MuLMS-AZ) corpus consists of 50 documents (licensed CC BY) from the materials science domain, spanning across the following 7 sub-areas: "Electrolysis", "Graphene", "Polymer Electrolyte Fuel Cell (PEMFC)", "Solid Oxide Fuel Cell (SOFC)", "Polymers", "Semiconductor... | Provide a detailed description of the following dataset: MuLMS-AZ |
SOFC-Exp | The SOFC-Exp corpus contains 45 scientific publications about solid oxide fuel cells (SOFCs), published between 2013 and 2019 as open-access articles all with a CC-BY license. The dataset was manually annotated by domain experts. | Provide a detailed description of the following dataset: SOFC-Exp |
Analysing state-backed propaganda websites: a new dataset and linguistic study | This paper analyses two hitherto unstudied sites sharing state-backed disinformation, Reliable Recent News (rrn.world) and WarOnFakes (waronfakes.com), which publish content in Arabic, Chinese, English, French, German, and Spanish. | Provide a detailed description of the following dataset: Analysing state-backed propaganda websites: a new dataset and linguistic study |
CovidET-Appraisals | CovidET-Appraisals is the most comprehensive dataset to-date that assesses 24 cognitive appraisal dimensions of emotions, each with a natural language rationale, across 241 Reddit posts. CovidET-Appraisals presents an ideal testbed to evaluate the ability of large language models — excelling at a wide range of NLP task... | Provide a detailed description of the following dataset: CovidET-Appraisals |
Blizzard TTS French Corpus for 2023 Challenge | The dataset contains 50 hours for high quality speech samples from a native speaker and 2 more hours of lower quality recordings from a different speaker | Provide a detailed description of the following dataset: Blizzard TTS French Corpus for 2023 Challenge |
PRO-teXt | PRO-teXt is an extension of PROXD with the inclusion of text prompts to synthesize objects. There are 180/20 interactions for training/testing in PRO-teXt. Each interaction involves a linguistic command corresponding to an existing room arrangement. | Provide a detailed description of the following dataset: PRO-teXt |
Synthetic non-linear boundary control problems dataset | Generated using the script below:
https://github.com/zenineasa/MasterThesis/blob/main/Code/dataGenerator.py | Provide a detailed description of the following dataset: Synthetic non-linear boundary control problems dataset |
Multi-Labelled SMILES Odors dataset | This dataset is a multi-labelled SMILES odor dataset with 138 odor descriptors. This dataset was created for replicating the paper: [A principal odor map unifies diverse tasks in olfactory perception](https://www.science.org/doi/full/10.1126/science.ade4401).
The complete replication of the paper (dataset curation +... | Provide a detailed description of the following dataset: Multi-Labelled SMILES Odors dataset |
GlotSparse | Collection of news websites in low-resource languages. | Provide a detailed description of the following dataset: GlotSparse |
GlotStoryBook | StoryBooks for 174 unique languages. | Provide a detailed description of the following dataset: GlotStoryBook |
udhr-lid | Clean version of UDHR (Universal Declaration of Human Rights), at the long sentence level. | Provide a detailed description of the following dataset: udhr-lid |
AugMod | Context
A radio signal consists in two channels, channel I (for 'In phase') and channel Q (for 'Quadrature') and can be assimilated as a stream of complex numbers.
It may convey information by coding it as a sequence of symbols sampled from a finite set of complex numbers called a "modulation".
There exist several s... | Provide a detailed description of the following dataset: AugMod |
PETA-Protein | PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications | Provide a detailed description of the following dataset: PETA-Protein |
WEATHub | WEATHub is a dataset containing 24 languages. It contains words organized into groups of (target1, target2, attribute1, attribute2) to measure the association target1:target2 :: attribute1:attribute2. For example target1 can be insects, target2 can be flowers. And we might be trying to measure whether we find insects o... | Provide a detailed description of the following dataset: WEATHub |
QUILT-1M | Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online. However, the scarcity of similar data in the medical field, specifically in histopathology, has halted similar progress. To enable similar representation learning for histopathology, we tu... | Provide a detailed description of the following dataset: QUILT-1M |
AdaptiX | GitHub repository for "AdaptiX – A Transitional XR Framework for Development and Evaluation of Shared Control Applications in Assistive Robotics", which is used in several shared control applications | Provide a detailed description of the following dataset: AdaptiX |
CheXphoto | CheXphoto is a competition for x-ray interpretation based on a new dataset of naturally and synthetically perturbed chest x-rays hosted by Stanford and VinBrain.
Chest radiography is the most common imaging examination globally, and is critical for screening, diagnosis, and management of many life threatening diseas... | Provide a detailed description of the following dataset: CheXphoto |
Yahoo S5 | Automatic anomaly detection is critical in today's world where the sheer volume of data makes it impossible to tag outliers manually. The goal of this dataset is to benchmark your anomaly detection algorithm. The dataset consists of real and synthetic time-series with tagged anomaly points. The dataset tests the detect... | Provide a detailed description of the following dataset: Yahoo S5 |
InBreast | Rationale and objectives: Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of a... | Provide a detailed description of the following dataset: InBreast |
CodRED | CodRED is the first human-annotated cross-document relation extraction (RE) dataset, aiming to test the RE systems’ ability of knowledge acquisition in the wild. CodRED has the following features:
* it requires natural language understanding in different granularity, including coarse-grained document retrieval, as w... | Provide a detailed description of the following dataset: CodRED |
HallusionBench | Large language models (LLMs), after being aligned with vision models and integrated into vision-language models (VLMs), can bring impressive improvement in image reasoning tasks. This was shown by the recently released GPT-4V(ison), LLaVA-1.5, etc. However, the strong language prior in these SOTA LVLMs can be a double-... | Provide a detailed description of the following dataset: HallusionBench |
SCARED | Sub-Challenge
Part of the Endoscopic Vision Challenge | Provide a detailed description of the following dataset: SCARED |
E-IC | This dataset, adapted from COCO Caption, is designed for the *Image Caption* task and evaluates multimodal model editing in terms of reliability, stability and generality. You can download the dataset from [here](https://drive.google.com/drive/folders/1jBdTJxUb9wEeHnvG-RY8dv5_I4QlDpUS?usp=drive_link) | Provide a detailed description of the following dataset: E-IC |
E-VQA | This dataset, adapted from VQAv2, is designed for the *Visual Question Answering* task and evaluates multimodal model editing in terms of reliability, stability and generality. You can download the dataset from [here](https://drive.google.com/drive/folders/1jBdTJxUb9wEeHnvG-RY8dv5_I4QlDpUS?usp=drive_link) | Provide a detailed description of the following dataset: E-VQA |
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