dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
ContractNLI | ContractNLI is a dataset for document-level natural language inference (NLI) on contracts whose goal is to automate/support a time-consuming procedure of contract review. In this task, a system is given a set of hypotheses (such as “Some obligations of Agreement may survive termination.”) and a contract, and it is aske... | Provide a detailed description of the following dataset: ContractNLI |
Data Science Problems | Evaluate a natural language code generation model on real data science pedagogical notebooks! Data Science Problems (DSP) includes well-posed data science problems in Markdown along with unit tests to verify correctness and a Docker environment for reproducible execution. About 1/3 of notebooks in this benchmark also i... | Provide a detailed description of the following dataset: Data Science Problems |
Visual Fields | 28,943 Humphrey Visual Field (HVF) tests from 3,871 patients and 7,428 eyes.
This file contains sensitivity values, TD values, age, laterality (left or right eye) and gender when specified. Sensitivity and TD values are stored both in long format (as a vector) and provided as an 8 x 9 matrix. The latter is meant to... | Provide a detailed description of the following dataset: Visual Fields |
UI5k | This dataset contains 54,987 UI screenshots and the metadata from 7,748 Android applications belonging to 25 application categories
Download link: [https://www.dropbox.com/sh/kfkhevxykzwputb/AAAhL6ipmOg4zZn4jUL_myF0a?dl=0](https://www.dropbox.com/sh/kfkhevxykzwputb/AAAhL6ipmOg4zZn4jUL_myF0a?dl=0) | Provide a detailed description of the following dataset: UI5k |
NEWSKVQA | **NEWSKVQA** is a new dataset of 12K news videos spanning across 156 hours with 1M multiple-choice question-answer pairs covering 8263 unique entities. | Provide a detailed description of the following dataset: NEWSKVQA |
Drone vs Bird | For the Drone-vs-Bird Detection Challenge 2021, 77 different video sequences have been made available as training data. These video sequences originate from the previous installment of the challenge and were collected using MPEG4-coded static cameras by the SafeShore project, by the Fraunhofer IOSB research institute a... | Provide a detailed description of the following dataset: Drone vs Bird |
DELAUNAY | **DELAUNAY** is a dataset of abstract paintings and non-figurative art objects labelled by the artists' names. This dataset provides a middle ground between natural images and artificial patterns and can thus be used in a variety of contexts, for example to investigate the sample efficiency of humans and artificial neu... | Provide a detailed description of the following dataset: DELAUNAY |
Medical Question Pairs | # Medical Question Pairs (MQP) Dataset
This repository contains a dataset of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors. The dataset is described in detail in [our paper](https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view).
## Methodology
... | Provide a detailed description of the following dataset: Medical Question Pairs |
InfiniteRep | InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications. It includes 1k videos of diverse avatars performing multiple repetitions of common exercises. It includes significant variation in the environment, lighting conditions, avatar demographics, and movement trajectories. Fro... | Provide a detailed description of the following dataset: InfiniteRep |
Extended heartSeg | The dataset X of this work is an extension of the heartSeg dataset. Each sample x ∈ X is an RGB image capturing the heart region of Medaka (Oryzias latipes) hatchlings from a constant ventral view. Since the body of Medaka is see-through, noninvasive studies regarding the internal organs and the whole circulatory syste... | Provide a detailed description of the following dataset: Extended heartSeg |
Real spreading processes in multilayer networks | Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. Users distributed avatars between each other during the campaigns. The processes varied in time and range and were either incentivized or not incentivized. Campaign data is accompanied by events. The data can be us... | Provide a detailed description of the following dataset: Real spreading processes in multilayer networks |
IndicGLUE | We now introduce IndicGLUE, the Indic General
Language Understanding Evaluation Benchmark,
which is a collection of various NLP tasks as de-
scribed below. The goal is to provide an evaluation
benchmark for natural language understanding ca-
pabilities of NLP models on diverse tasks and mul-
tiple Indian language... | Provide a detailed description of the following dataset: IndicGLUE |
Natural Sprites | This csv consists of (x-position, y-position, area) tuples of three views (left, middle, right) of downscaled binary masks with aspect ratio kept (64 x 128) from the 2019 YouTube-VIS challenge, which can be found at https://competitions.codalab.org/competitions/20127#participate-get-data. Extracting pairs from this csv... | Provide a detailed description of the following dataset: Natural Sprites |
KITTI-Masks | This Dataset consists of 2120 sequences of binary masks of pedestrians. The sequence length varies between 2-710. For details, we refer to our paper. It is based on the original KITTI Segmentation challenge which can be found at https://www.vision.rwth-aachen.de/page/mots
A detailed description can be found at: htt... | Provide a detailed description of the following dataset: KITTI-Masks |
3DIdent | Novel benchmark which features aspects of natural scenes, e.g. a complex 3D object and different lighting conditions, while still providing access to the continuous ground-truth factors.
We use the Blender rendering engine to create visually complex 3D images. Each image in the dataset shows a colored 3D object whic... | Provide a detailed description of the following dataset: 3DIdent |
Causal3DIdent | Update on 3DIdent, where we introduce six additional object classes (Hare, Dragon, Cow, Armadillo, Horse, and Head), and impose a causal graph over the latent variables. For further details, see Appendix B in the associated paper (https://arxiv.org/abs/2106.04619). | Provide a detailed description of the following dataset: Causal3DIdent |
CENTER-TBI | The CENTER-TBI database contains prospectively collected data of more than 4,500 patients with TBI in Europe. The Registry and Acute Care data has been collected during a 3 years’ period (2015-2017) in 65 centers in Europe. For all patients, outcome data has been collected up to 2 years after injury.
The CENTER-TBI ... | Provide a detailed description of the following dataset: CENTER-TBI |
PCFG SET | The Probabilistic Context Free Grammar String Edit Task (PCFG SET) dataset is a dataset with sequence to sequence problems specifically designed to test different aspects of **compositional generalisation**. In particular, the dataset contains splits to test for *systematicity*, *productivity*, *substitutivity*, *local... | Provide a detailed description of the following dataset: PCFG SET |
deepMTJ_IEEEtbme | This dataset comprises 1344 expert annotated images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastrocnemius, Medial Gastrocnemius), and 2 movements (isometric maximum voluntary contractions, passive torque movements). | Provide a detailed description of the following dataset: deepMTJ_IEEEtbme |
EquiBind data | The protein-ligand complexes of PDBBind v2020 preprocessed as described in the paper "EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction" with associated code at https://github.com/HannesStark/EquiBind
Contained are 19119 complexes of PDBBinds total 19433 protein-ligand complexes. Excluded are t... | Provide a detailed description of the following dataset: EquiBind data |
SoundDescs | We introduce a new audio dataset called SoundDescs that can be used for tasks such as text to audio retrieval, audio captioning etc. This dataset contains 32,979 pairs of audio files and text descriptions. There are 23 categories found in SoundDescs including but not limited to nature, clocks, fire etc.
SoundDescs c... | Provide a detailed description of the following dataset: SoundDescs |
C3D features for PHD2GIF | The feature files are named with the youtube IDs.
https://drive.google.com/drive/folders/10-6hkQxMKMGwLXANxfPRE7xw5PKiMjLn?usp=sharing | Provide a detailed description of the following dataset: C3D features for PHD2GIF |
Rice Dataset Commeo and Osmancik | ata Set Name: Rice Dataset (Commeo and Osmancik)
Abstract: A total of 3810 rice grain's images were taken for the two species (Cammeo and Osmancik), processed and feature inferences were made. 7 morphological features were obtained for each grain of rice. | Provide a detailed description of the following dataset: Rice Dataset Commeo and Osmancik |
Rice Image Dataset | Citation Request: See the articles for more detailed information on the data.
Koklu, M., Cinar, I., & Taspinar, Y. S. (2021). Classification of rice varieties with deep learning methods. Computers and Electronics in Agriculture, 187, 106285. https://doi.org/10.1016/j.compag.2021.106285
Cinar, I., & Koklu, M. (202... | Provide a detailed description of the following dataset: Rice Image Dataset |
Grapevine Leaves Image Dataset | KOKLU Murat (a), UNLERSEN M. Fahri (b), OZKAN Ilker Ali (a), ASLAN M. Fatih(c), SABANCI Kadir (c)
(a) Department of Computer Engineering, Selcuk University, Turkey, Konya, Turkey
(b) Department of Electrical and Electronics Engineering, Necmettin Erbakan University, Konya, Turkey
(c) Department of Electrical-Elect... | Provide a detailed description of the following dataset: Grapevine Leaves Image Dataset |
Acoustic Extinguisher Fire Dataset | Yavuz Selim TASPINAR, Murat KOKLU and Mustafa ALTIN
Citation Request :
1: KOKLU M., TASPINAR Y.S., (2021). Determining the Extinguishing Status of Fuel Flames With Sound Wave by Machine Learning Methods. IEEE Access, 9, pp.86207-86216, Doi: 10.1109/ACCESS.2021.3088612
Link: https://ieeexplore.ieee.org/document/... | Provide a detailed description of the following dataset: Acoustic Extinguisher Fire Dataset |
Adult Data Set | Data Set Information:
Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))
Prediction task is to determine whether a person makes over 50K a year. | Provide a detailed description of the following dataset: Adult Data Set |
CVR | This data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine different types of votes: voted for, paired for, and announced for (these three simplified to yea), voted against, paired against, and announced against (these three simpl... | Provide a detailed description of the following dataset: CVR |
MMLU | **MMLU** (**Massive Multitask Language Understanding**) is a new benchmark designed to measure knowledge acquired during pretraining by evaluating models exclusively in zero-shot and few-shot settings. This makes the benchmark more challenging and more similar to how we evaluate humans. The benchmark covers 57 subjects... | Provide a detailed description of the following dataset: MMLU |
Cyberbullying Classification | As social media usage becomes increasingly prevalent in every age group, a vast majority of citizens rely on this essential medium for day-to-day communication. Social media’s ubiquity means that cyberbullying can effectively impact anyone at any time or anywhere, and the relative anonymity
of the internet makes such ... | Provide a detailed description of the following dataset: Cyberbullying Classification |
Research Artifact - GitHub Sponsors: Exploring a New Way to Contribute to Open Source | This is a research artifact for the ICSE'22 paper "**GitHub Sponsors: Exploring a New Way to Contribute to Open Source**". The following three research questions were constructed to guide the study.
* RQ1: *Who participates in GitHub Sponsors?*
* RQ1.1: *What are the characteristics of sponsored developers?*
... | Provide a detailed description of the following dataset: Research Artifact - GitHub Sponsors: Exploring a New Way to Contribute to Open Source |
PETRAW | PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session is to transfer 6 blocks from the left to the right and back. Each block must be extracted from a peg with one hand, transferred to the other hand, and inserted in a peg at the other side of the boa... | Provide a detailed description of the following dataset: PETRAW |
ProteinKG25 | ProteinKG25 is a large-scale KG dataset with aligned descriptions and protein sequences respectively to GO terms and proteins entities. ProteinKG25 contains 4,990,097 triplets (4,879,951 Protein-GO triplets and 110,146 GO-GO triplets), 612,483 entities (565,254 proteins and 47,229 GO terms) and 31 relations. | Provide a detailed description of the following dataset: ProteinKG25 |
SHERLOCK | **SHERLOCK** is a corpus of 363K commonsense inferences grounded in 103K images. Annotators highlight localized clues (color bubbles) and draw plausible abductive inferences about them (speech bubbles). It can be used for testing machine capacity for abductive reasoning beyond literal image contents. | Provide a detailed description of the following dataset: SHERLOCK |
Deep Soccer Captioning | **Deep Soccer Captioning** is a dataset consists of 22k caption-clip pairs and three visual features (images, optical flow, inpainting) for 500 hours of SoccerNet videos. | Provide a detailed description of the following dataset: Deep Soccer Captioning |
ASC (TIL, 19 tasks) | A set of 19 ASC datasets (reviews of 19 products) producing a sequence of 19 tasks. Each dataset represents a task. The datasets are from 4 sources: (1) HL5Domains (Hu and Liu, 2004) with reviews of 5 products; (2) Liu3Domains (Liu et al., 2015) with reviews of 3 products; (3) Ding9Domains (Ding et al., 2008) with revi... | Provide a detailed description of the following dataset: ASC (TIL, 19 tasks) |
ArgSciChat | **ArgSciChat** is an argumentative dialogue dataset. It consists of 498 messages collected from 41 dialogues on 20 scientific papers. It can be used to evaluate conversational agents and further encourage research on argumentative scientific agents. | Provide a detailed description of the following dataset: ArgSciChat |
Dynamic OLAT Dataset | To provide ground truth supervision for video consistency modeling, we build up a high-quality dynamic OLAT dataset.
Our capture system consists of a light stage setup with 114 LED light sources and Phantom Flex4K-GS camera (global shutter, stationary 4K ultra-high-speed camera at 1000 fps), resulting in dynamic OLAT ... | Provide a detailed description of the following dataset: Dynamic OLAT Dataset |
USR-TopicalChat | This dataset was collected with the goal of assessing dialog evaluation metrics. In the paper, USR: An Unsupervised and Reference Free Evaluation Metric for Dialog (Mehri and Eskenazi, 2020), the authors collect this data to measure the quality of several existing word-overlap and embedding-based metrics, as well as th... | Provide a detailed description of the following dataset: USR-TopicalChat |
USR-PersonaChat | This dataset was collected with the goal of assessing dialog evaluation metrics. In the paper, USR: An Unsupervised and Reference Free Evaluation Metric for Dialog (Mehri and Eskenazi, 2020), the authors collect this data to measure the quality of several existing word-overlap and embedding-based metrics, as well as th... | Provide a detailed description of the following dataset: USR-PersonaChat |
Memotion Analysis | A multimodal dataset for sentiment analysis on internet memes. | Provide a detailed description of the following dataset: Memotion Analysis |
HelloWorld | HelloWorld is a dataset of kinesthetic demonstrations collected using a Franka Emika Panda robot. During the data collection, the robot was made to write the lower case letters $h, e, l, o, w, r, d$ one at a time on a horizontal surface and the $x$ and $y$ coordinates of the end-effector were recorded. Multiple demonst... | Provide a detailed description of the following dataset: HelloWorld |
CIP | The CIP dataset is composed of 2 subsets, containing low-cost (MPU9250) and high-end (MTwAwinda) Magnetic, Angular Rate, and Gravity (MARG) sensor data respectively. It provides data for the analysis of the complete inertial pose pipeline, from raw measurements, to sensor-to-segment calibration, multi-sensor fusion, sk... | Provide a detailed description of the following dataset: CIP |
wildFireClimateChangeTweets | Here I provided the datasets I used for this analysis. It includes the tweets I streamed using the Tweepy package on Python during the peach of the wildfire season in late summer/early fall of 2020.
The files include:
1- Public:
39 items of CSV files for the dates (day by day) starting 09/06/2020 to 09/23/2020
... | Provide a detailed description of the following dataset: wildFireClimateChangeTweets |
DSC (10 tasks) | A set of 10 DSC datasets (reviews of 10 products) to produce sequences of tasks. The products are Sports, Toys, Tools, Video, Pet, Musical, Movies, Garden, Offices, and Kindle. 2500 positive and 2500 negative training reviews per task . The validation reviews are with 250 positive and 250 negative and the test reviews ... | Provide a detailed description of the following dataset: DSC (10 tasks) |
Weibo-Douban | This dataset is used for user identity linkage across two online social networks in Chinese. It contains two popular Chinese social platforms: Sina Weibo\footnote{https://weibo.com} and Douban\footnote{https://www.douban.com}.
Details:
* 9,714 users and 117,218 relations in Weibo; 9,526 users and 120,245 relations in... | Provide a detailed description of the following dataset: Weibo-Douban |
Ransomware PCAP repository | This is a repository of PCAP files obtained by executing ransomware binaries and capturing the network traffic created when encrypting a set of files shared from an SMB server. There are 94 samples from 32 different ransomware families downloaded from malware-traffic-analysis and hybrid-analysis. There is a link to an ... | Provide a detailed description of the following dataset: Ransomware PCAP repository |
20Newsgroup (10 tasks) | This dataset has 20 classes and each class has about 1000 documents. The data split for train/validation/test is 1600/200/200. We created 10 tasks, 2
classes per task. Since this is topic-based text classification data, the classes are very different and have little shared knowledge. As mentioned above, this applicat... | Provide a detailed description of the following dataset: 20Newsgroup (10 tasks) |
NMED-T | Losorelli, Steven, Nguyen, Duc T., Dmochowski, Jacek P., and Kaneshiro, Blair
This dataset contains cortical (EEG) and behavioral data collected during natural music listening. Dense-array EEG was recorded from 20 adult participants who each heard a set of 10 full-length songs with electronically produced beats at v... | Provide a detailed description of the following dataset: NMED-T |
F-CelebA (10 tasks) | F-CelebA - This dataset is adapted from federated learning. Federated learning
is an emerging machine learning paradigm with an emphasis on data privacy. The idea is to train
through model aggregation rather than conventional data aggregation and keep local data staying
on the local device. This dataset naturally co... | Provide a detailed description of the following dataset: F-CelebA (10 tasks) |
ADIMA | **ADIMA** is a novel, linguistically diverse, ethically sourced, expert annotated and well-balanced multilingual profanity detection audio dataset comprising of 11,775 audio samples in 10 Indic languages spanning 65 hours and spoken by 6,446 unique users. | Provide a detailed description of the following dataset: ADIMA |
VizWiz-VQA-Grounding | The **VizWiz-VQA-Grounding** dataset is a dataset that visually grounds answers to visual questions asked by people with visual impairments.
Training Set:
- 6,494 examples
Validation Set:
- 1,131 examples
Test Set:
- 2,373 examples | Provide a detailed description of the following dataset: VizWiz-VQA-Grounding |
Wukong | **Wukong** is a large-scale Chinese cross-modal dataset for benchmarking different multi-modal pre-training methods to facilitate the Vision-Language Pre-training (VLP). This dataset contains 100 million Chinese image-text pairs from the web. This base query list is taken from and is filtered according to the frequency... | Provide a detailed description of the following dataset: Wukong |
MeLa BitChute | **MeLa BitChute** is a near-complete dataset of over 3M videos from 61K channels over 2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a commonly used alternative to YouTube. Additionally, the dataset includes a variety of video-level metadata, including comments, channel descript... | Provide a detailed description of the following dataset: MeLa BitChute |
UAV_udc | https://github.com/zzr-idam/Under-Display-Camera-UAV | Provide a detailed description of the following dataset: UAV_udc |
LAW | The Laboratory for Web Algorithmics (LAW) was established in 2002 at the Dipartimento di Scienze dell'Informazione (now merged in the Computer Science Department) of the Università degli studi di Milano.
The LAW is part of the NADINE FET EU project.
Research at LAW concerns all algorithmic aspects of the study of... | Provide a detailed description of the following dataset: LAW |
Taillard Instances | Taillar's permutation flow shop, the job shop, and the open shop scheduling problems instances:
We restrict ourselves to basic problems: the processing times are fixed, there are neither set-up times nor due dates nor release dates, etc. Then, the objective is the minimization of the makespan. | Provide a detailed description of the following dataset: Taillard Instances |
FICS PCB Image Collection (FPIC) | Optical images of printed circuit boards as well as detailed annotations of any text, logos, and surface-mount devices (SMDs). There are several hundred samples spanning a wide variety of manufacturing locations, sizes, node technology, applications, and more.
- pcb_image: Optical images of each PCB surface and rear... | Provide a detailed description of the following dataset: FICS PCB Image Collection (FPIC) |
HuSHeM | At the Isfahan Fertility and Infertility Center, semen samples were collected from fifteen patients. The sperm samples were fixed and stained using the Diff-Quick method. Using an Olympus CX21 microscope with a ×100 objective lens and a ×10 eyepiece and a Sony color camera (Model No SSC-DC58AP), 725 images were taken... | Provide a detailed description of the following dataset: HuSHeM |
SCIAN | Dataset of sperm head images with expert-classification labels. The dataset contains 1854 sperm head images obtained from six semen smears and classified by three Chilean referent domain experts according to World Health Organization (WHO) criteria, in one of the following classes: normal, tapered, pyriform, small and ... | Provide a detailed description of the following dataset: SCIAN |
TransCG | TransCG is the first large-scale real-world dataset for transparent object depth completion and grasping, which contains 57,715 RGB-D images of 51 transparent objects and many opaque objects captured from different perspectives (~240 viewpoints) of 130 scenes under real-world settings. The samples are captured by two d... | Provide a detailed description of the following dataset: TransCG |
Synth-Colon | Synthetic dataset for polyp segmentation. It
is the first dataset generated using zero annotations from medical professionals.
The dataset is composed of 20 000 images with a resolution of 500×500. SynthColon additionally includes realistic colon images generated with a CycleGAN
and the Kvasir training set images. S... | Provide a detailed description of the following dataset: Synth-Colon |
Munich Sentinel2 Crop Segmentation | Contains squared blocks of 48×48 pixels including 13 Sentinel-2 bands.
Each 480-m block was mined from a large geographical area of interest (102 km × 42 km) located north of Munich, Germany. | Provide a detailed description of the following dataset: Munich Sentinel2 Crop Segmentation |
A collection of LFR benchmark graphs | This dataset is a collection of undirected and unweighted LFR benchmark graphs as proposed by Lancichinetti et al. [1]. We generated the graphs using the code provided by Santo Fortunato on his personal website [2], embedded in our evaluation framework [3], with two different parameter sets. Let N denote the number of ... | Provide a detailed description of the following dataset: A collection of LFR benchmark graphs |
Volunteer task execution events in Galaxy Zoo and The Milky Way citizen science projects | ## Context of the data sets
The Zooniverse platform (www.zooniverse.org) has successfully built a large community of volunteers contributing to citizen science projects. Galaxy Zoo and the Milky Way Project were hosted there.
The original Galaxy Zoo project was launched in July 2007, but has since been redesigned... | Provide a detailed description of the following dataset: Volunteer task execution events in Galaxy Zoo and The Milky Way citizen science projects |
Motor Imagery dataset | From dataset repository for "2020 International BCI Competition":
https://osf.io/pq7vb/?view_only=08e7108d89fd42bab2adbd6b98fb683d | Provide a detailed description of the following dataset: Motor Imagery dataset |
Error Grids for multi-fidelity benchmark functions in mf2 | Provide:
* a high-level explanation of the dataset characteristics
* explain motivations and summary of its content
* potential use cases of the dataset
Collection of Error Grid data files. Intended purpose is to allow confirmation of analysis and to perform future analysis on other error measurement methods th... | Provide a detailed description of the following dataset: Error Grids for multi-fidelity benchmark functions in mf2 |
KITTI'15 MSplus | Extension of the official [KITTI'15 dataset](http://www.cvlibs.net/datasets/kitti/). independently moving instance segmentation ground truth to cover all moving objects, not just a selection of cars and vans.
- Instance Motion Segmentation of all moving objects
- Binary Motion Segmentation (background/foreground)
... | Provide a detailed description of the following dataset: KITTI'15 MSplus |
DLR-ACD | The DLR-ACD dataset is a collection of aerial images for crowd counting and density estimation, as well as for person localization at mass events. It contains 33 large aerial images acquired through 16 different flight campaigns at various mass events and over urban scenes involving crowds, such as sport events, city c... | Provide a detailed description of the following dataset: DLR-ACD |
CBCT Walnut | The scans are performed using a custom-built, highly flexible X-ray CT scanner, the FleX-ray scanner, developed by XRE nvand located in the FleX-ray Lab at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands. The general purpose of the FleX-ray Lab is to conduct proof of concept experiments directly acce... | Provide a detailed description of the following dataset: CBCT Walnut |
NON-LINEAR PHASE NOISE MITIGATION OVER SYSTEMS USING CONSTELLATION SHAPING: EXPERIMENTAL DATASET | This dataset contains the full set of experimental waveforms that were used to produce the article "Non-Linear Phase Noise Mitigation over Systems using Constellation Shaping", published in the Journal of Lightwave Technology with DOI: 10.1109/JLT.2019.2917308. | Provide a detailed description of the following dataset: NON-LINEAR PHASE NOISE MITIGATION OVER SYSTEMS USING CONSTELLATION SHAPING: EXPERIMENTAL DATASET |
V2X-SIM | **V2X-Sim**, short for vehicle-to-everything simulation, is the a synthetic collaborative perception dataset in autonomous driving developed by AI4CE Lab at NYU and MediaBrain Group at SJTU to facilitate collaborative perception between multiple vehicles and roadside infrastructure. Data is collected from both roadside... | Provide a detailed description of the following dataset: V2X-SIM |
Typography-MNIST | **Typography-MNIST** is a dataset comprising of 565,292 MNIST-style grayscale images representing 1,812 unique glyphs in varied styles of 1,355 Google-fonts. The glyph-list contains common characters from over 150 of the modern and historical language scripts with symbol sets, and each font-style represents varying sub... | Provide a detailed description of the following dataset: Typography-MNIST |
ASOS Digital Experiments Dataset | A novel dataset that can support the end-to-end design and running of Online Controlled Experiments (OCE) with adaptive stopping.
See OSF page for the schema and datasheet. | Provide a detailed description of the following dataset: ASOS Digital Experiments Dataset |
NYT11-HRL | Preprocessed version of NYT11.
Each relational triple is formatted as follows:
rtext : relation type
em1 : source entity mention
em2 : target entity mention
tags : the proposed entity annotation scheme for the sentence
0 : $O$ non-entity
1 : $S_I$ inside of a source entity
2 : $T_I$ inside of a target entit... | Provide a detailed description of the following dataset: NYT11-HRL |
NYT10-HRL | a dataset from A Hierarchical Framework for Relation Extraction with Reinforcement Learning | Provide a detailed description of the following dataset: NYT10-HRL |
VaccineLies | A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines. | Provide a detailed description of the following dataset: VaccineLies |
CoVaxLies v2 | CoVaxLies v2 includes 47 Misinformation Targets (MisTs) found on Twitter about the COVID-19 vaccines. Language experts annotated tweets as Relevant or Not Relevant, and then further annotated Relevant tweets with Stance towards each MisT. This collection is a first step in providing large-scale resources for misinforma... | Provide a detailed description of the following dataset: CoVaxLies v2 |
EUCA dataset | # EUCA dataset description
Associated Paper:
**[EUCA: the End-User-Centered Explainable AI Framework](http://arxiv.org/abs/2102.02437)**
Authors:
Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh
## Introduction:
EUCA dataset is for modelling personalized or interactive explainabl... | Provide a detailed description of the following dataset: EUCA dataset |
ADFI | ADFI Dataset is an image dataset for anomaly detection methods with a focus on industrial inspection.
Each category sub dataset comprises a training set of images and a test set of images with various kinds of defects as well as images without defects.
Supplementary information: ADFI provides a cloud service that a... | Provide a detailed description of the following dataset: ADFI |
MuLD | **MuLD** (**Multitask Long Document Benchmark**) is a set of 6 NLP tasks where the inputs consist of at least 10,000 words. The benchmark covers a wide variety of task types including translation, summarization, question answering, and classification. Additionally there is a range of output lengths from a single word c... | Provide a detailed description of the following dataset: MuLD |
PeMS07 | PeMS07 is a traffic forecasting benchmark. | Provide a detailed description of the following dataset: PeMS07 |
Roman Republican Coin Dataset | Based on Crawford’s work, we collect the most diverse and extensive image dataset of the reverse sides. For most of the Roman Republic coin classes, the obverse side depicts more discriminative information than the observe side. Our dataset has 228 motif classes, including 100 classes that are the main classes for trai... | Provide a detailed description of the following dataset: Roman Republican Coin Dataset |
Malnutrition data | The malnutrition data, from the United Nations Children's Fund data warehouse, include two variables, stunted growth and the prevalence of low birth weight, collected in 77 countries from 1985 to 2019. Stunted growth is defined as the proportion of newborns aging from 0 to 59 months with a low height-for-age measureme... | Provide a detailed description of the following dataset: Malnutrition data |
MuMiN | MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically linked to 13 thousand fact-checked claims across dozens of topics, events and domains,... | Provide a detailed description of the following dataset: MuMiN |
MuMiN-small | This is the small version of the [MuMiN dataset](https://paperswithcode.com/dataset/mumin). | Provide a detailed description of the following dataset: MuMiN-small |
MuMiN-medium | This is the medium version of the [MuMiN dataset](https://paperswithcode.com/dataset/mumin). | Provide a detailed description of the following dataset: MuMiN-medium |
MuMiN-large | This is the large version of the [MuMiN dataset](https://paperswithcode.com/dataset/mumin). | Provide a detailed description of the following dataset: MuMiN-large |
TopiOCQA | **TopiOCQA** (pronounced Tapioca) is an open-domain conversational dataset with topic switches on Wikipedia. TopiOCQA contains 3,920 conversations with information-seeking questions and free-form answers. On average, a conversation in the dataset spans 13 question-answer turns and involves four topics (documents). Topi... | Provide a detailed description of the following dataset: TopiOCQA |
KuaiRec | KuaiRec is a real-world dataset collected from the recommendation logs of the video-sharing mobile app Kuaishou. For now, it is the first dataset that contains a fully observed user-item interaction matrix. For the term “fully observed”, we mean there are almost no missing values in the user-item matrix, i.e., each use... | Provide a detailed description of the following dataset: KuaiRec |
iFLYTEK | iFLYTEK and ChangGuang Satellite jointly held the challenge of extracting cultivated land from high-resolution remote sensing images. | Provide a detailed description of the following dataset: iFLYTEK |
Supplementary material | Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material | Provide a detailed description of the following dataset: Supplementary material |
20000 utterances | 20000 utterances | Provide a detailed description of the following dataset: 20000 utterances |
MuVi | A dataset of music videos with continuous valence/arousal ratings as well as emotion tags.
A unique feature is that ratings are provided in 3 modalities:
- muted video
- music only
- music and video together
The github provides:
- video_urls.csv: Contains the YouTube ids of MuVi dataset. We can als... | Provide a detailed description of the following dataset: MuVi |
GF-PA66 3D XCT | Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen.
Usage: 2D/3D image segmentation
Format: HDF5
Libraries to read HDF5 files:
1) silx: [https://github.com/silx-kit/silx](https://github.com/silx-kit/silx)
2) h5py: [https://www.h5py.org](http... | Provide a detailed description of the following dataset: GF-PA66 3D XCT |
SMCOVID19-CT | We present a real data analysis of a CT experiment that was conducted in Italy for 8 months and involved more than 100,000 CT app users.
SM-Covid-19 uses a NO-SQL data storage system to ensure scalability and performance. At regular intervals, SM-Covid-19 backend generates a complete dump of the dataset. The dump is... | Provide a detailed description of the following dataset: SMCOVID19-CT |
Icon645 | Icon645 is a large-scale dataset of icon images that cover a wide range of objects:
* **645,687** colored icons
* **377** different icon classes
These collected icon classes are frequently mentioned in the [IconQA](https://iconqa.github.io/) questions. In this work, we use the icon data to pre-train backbone net... | Provide a detailed description of the following dataset: Icon645 |
Study data | # Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
## File Descriptions
File | Description
--- | ---
`commit_categorizations.csv` | Categorizations for the commits in our dataset.
`commits.csv` | Information for the commits in our dataset
`datasets.csv` | Contai... | Provide a detailed description of the following dataset: Study data |
MCVQA | The MCVQA dataset consists of 248, 349 training questions and 121, 512 validation
questions for real images in Hindi and Code-mixed. For each Hindi question, we also provide its 10 corresponding answers in Hindi. | Provide a detailed description of the following dataset: MCVQA |
AirSim Stereo Synthetic Dataset | Synthetic Dataset created in AirSim | Provide a detailed description of the following dataset: AirSim Stereo Synthetic Dataset |
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