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title string | abstract string | url string | category string | prediction string | probability float64 | arxiv_id string |
|---|---|---|---|---|---|---|
Reporting existing datasets for automatic epilepsy diagnosis and seizure detection | More than 50 million individuals are affected by epilepsy, a chronic
neurological disorder characterized by unprovoked, recurring seizures and
psychological symptoms. Researchers are working to automatically detect or
predict epileptic episodes through Electroencephalography (EEG) signal
analysis, and machine, and deep... | http://arxiv.org/abs/2306.12292v1 | eess.SP | new_dataset | 0.99396 | 2306.12292 |
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning | Winter wheat is one of the most important crops in the United Kingdom, and
crop yield prediction is essential for the nation's food security. Several
studies have employed machine learning (ML) techniques to predict crop yield on
a county or farm-based level. The main objective of this study is to predict
winter wheat ... | http://arxiv.org/abs/2306.11946v1 | cs.LG | not_new_dataset | 0.992214 | 2306.11946 |
A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction | Western countries rely heavily on wheat, and yield prediction is crucial.
Time-series deep learning models, such as Long Short Term Memory (LSTM), have
already been explored and applied to yield prediction. Existing literature
reported that they perform better than traditional Machine Learning (ML)
models. However, the... | http://arxiv.org/abs/2306.11942v1 | cs.LG | not_new_dataset | 0.992006 | 2306.11942 |
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation | In this paper, we focus on how current Machine Translation (MT) tools perform
on the translation of emotion-loaded texts by evaluating outputs from Google
Translate according to a framework proposed in this paper. We propose this
evaluation framework based on the Multidimensional Quality Metrics (MQM) and
perform a det... | http://arxiv.org/abs/2306.11900v1 | cs.CL | new_dataset | 0.994139 | 2306.11900 |
GIO: Gradient Information Optimization for Training Dataset Selection | It is often advantageous to train models on a subset of the available train
examples, because the examples are of variable quality or because one would
like to train with fewer examples, without sacrificing performance. We present
Gradient Information Optimization (GIO), a scalable, task-agnostic approach to
this data ... | http://arxiv.org/abs/2306.11670v1 | cs.LG | not_new_dataset | 0.992043 | 2306.11670 |
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks | Brain-Machine Interfacing (BMI) has greatly benefited from adopting machine
learning methods for feature learning that require extensive data for training,
which are often unavailable from a single dataset. Yet, it is difficult to
combine data across labs or even data within the same lab collected over the
years due to... | http://arxiv.org/abs/2306.13109v1 | eess.SP | not_new_dataset | 0.992204 | 2306.13109 |
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets | Machine learning applications cover a wide range of predictive tasks in which
tabular datasets play a significant role. However, although they often address
similar problems, tabular datasets are typically treated as standalone tasks.
The possibilities of using previously solved problems are limited due to the
lack of ... | http://arxiv.org/abs/2306.11636v1 | cs.LG | not_new_dataset | 0.992129 | 2306.11636 |
On Evaluating Multilingual Compositional Generalization with Translated Datasets | Compositional generalization allows efficient learning and human-like
inductive biases. Since most research investigating compositional
generalization in NLP is done on English, important questions remain
underexplored. Do the necessary compositional generalization abilities differ
across languages? Can models composit... | http://arxiv.org/abs/2306.11420v1 | cs.CL | new_dataset | 0.986937 | 2306.11420 |
DICES Dataset: Diversity in Conversational AI Evaluation for Safety | Machine learning approaches often require training and evaluation datasets
with a clear separation between positive and negative examples. This risks
simplifying and even obscuring the inherent subjectivity present in many tasks.
Preserving such variance in content and diversity in datasets is often
expensive and labor... | http://arxiv.org/abs/2306.11247v1 | cs.HC | new_dataset | 0.994477 | 2306.11247 |
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator | Designing robust machine learning systems remains an open problem, and there
is a need for benchmark problems that cover both environmental changes and
evaluation on a downstream task. In this work, we introduce AVOIDDS, a
realistic object detection benchmark for the vision-based aircraft
detect-and-avoid problem. We p... | http://arxiv.org/abs/2306.11203v1 | cs.CV | new_dataset | 0.994541 | 2306.11203 |
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets | Biomedical relation extraction (RE) is the task of automatically identifying
and characterizing relations between biomedical concepts from free text. RE is
a central task in biomedical natural language processing (NLP) research and
plays a critical role in many downstream applications, such as literature-based
discover... | http://arxiv.org/abs/2306.11189v1 | cs.CL | new_dataset | 0.991113 | 2306.11189 |
GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks | Cyber attacks deceive machines into believing something that does not exist
in the first place. However, there are some to which even humans fall prey. One
such famous attack that attackers have used over the years to exploit the
vulnerability of vision is known to be a Homoglyph attack. It employs a primary
yet effect... | http://arxiv.org/abs/2306.10392v1 | cs.CR | new_dataset | 0.994462 | 2306.10392 |
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses | The ongoing deployment of the fifth generation (5G) wireless networks
constantly reveals limitations concerning its original concept as a key driver
of Internet of Everything (IoE) applications. These 5G challenges are behind
worldwide efforts to enable future networks, such as sixth generation (6G)
networks, to effici... | http://arxiv.org/abs/2306.10309v1 | cs.CR | not_new_dataset | 0.992275 | 2306.10309 |
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection | A computational workflow, also known as workflow, consists of tasks that must
be executed in a specific order to attain a specific goal. Often, in fields
such as biology, chemistry, physics, and data science, among others, these
workflows are complex and are executed in large-scale, distributed, and
heterogeneous compu... | http://arxiv.org/abs/2306.09930v1 | cs.DC | new_dataset | 0.994468 | 2306.09930 |
DISC: a Dataset for Integrated Sensing and Communication in mmWave Systems | In this paper we present DISC, a dataset of millimeter-wave channel impulse
response measurements for integrated human activity sensing and communication.
This is the first dataset collected with a software-defined radio testbed that
transmits 60 GHz IEEE 802-11ay-compliant packets and estimates the channel
response in... | http://arxiv.org/abs/2306.09469v1 | eess.SP | new_dataset | 0.994489 | 2306.09469 |
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization | Fairness (also known as equity interchangeably) in machine learning is
important for societal well-being, but limited public datasets hinder its
progress. Currently, no dedicated public medical datasets with imaging data for
fairness learning are available, though minority groups suffer from more health
issues. To addr... | http://arxiv.org/abs/2306.09264v2 | cs.CV | new_dataset | 0.994415 | 2306.09264 |
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning | Pragmatic reasoning plays a pivotal role in deciphering implicit meanings
that frequently arise in real-life conversations and is essential for the
development of communicative social agents. In this paper, we introduce a novel
challenge, DiPlomat, aiming at benchmarking machines' capabilities on pragmatic
reasoning an... | http://arxiv.org/abs/2306.09030v2 | cs.CL | new_dataset | 0.994505 | 2306.09030 |
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators | Modern climate projections lack adequate spatial and temporal resolution due
to computational constraints. A consequence is inaccurate and imprecise
predictions of critical processes such as storms. Hybrid methods that combine
physics with machine learning (ML) have introduced a new generation of higher
fidelity climat... | http://arxiv.org/abs/2306.08754v3 | cs.LG | new_dataset | 0.994532 | 2306.08754 |
MMASD: A Multimodal Dataset for Autism Intervention Analysis | Autism spectrum disorder (ASD) is a developmental disorder characterized by
significant social communication impairments and difficulties perceiving and
presenting communication cues. Machine learning techniques have been broadly
adopted to facilitate autism studies and assessments. However, computational
models are pr... | http://arxiv.org/abs/2306.08243v3 | cs.CV | new_dataset | 0.994475 | 2306.08243 |
Assessing the Effectiveness of GPT-3 in Detecting False Political Statements: A Case Study on the LIAR Dataset | The detection of political fake statements is crucial for maintaining
information integrity and preventing the spread of misinformation in society.
Historically, state-of-the-art machine learning models employed various methods
for detecting deceptive statements. These methods include the use of metadata
(W. Wang et al... | http://arxiv.org/abs/2306.08190v1 | cs.CL | not_new_dataset | 0.992134 | 2306.08190 |
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models | A single digital newsletter usually contains many messages (regions). Users'
reading time spent on, and read level (skip/skim/read-in-detail) of each
message is important for platforms to understand their users' interests,
personalize their contents, and make recommendations. Based on accurate but
expensive-to-collect ... | http://arxiv.org/abs/2306.07455v1 | cs.HC | new_dataset | 0.993873 | 2306.07455 |
RB-Dust -- A Reference-based Dataset for Vision-based Dust Removal | Dust in the agricultural landscape is a significant challenge and influences,
for example, the environmental perception of autonomous agricultural machines.
Image enhancement algorithms can be used to reduce dust. However, these require
dusty and dust-free images of the same environment for validation. In fact, to
date... | http://arxiv.org/abs/2306.07244v1 | cs.CV | new_dataset | 0.994516 | 2306.07244 |
Generating Synthetic Datasets by Interpolating along Generalized Geodesics | Data for pretraining machine learning models often consists of collections of
heterogeneous datasets. Although training on their union is reasonable in
agnostic settings, it might be suboptimal when the target domain -- where the
model will ultimately be used -- is known in advance. In that case, one would
ideally pret... | http://arxiv.org/abs/2306.06866v1 | cs.LG | not_new_dataset | 0.992183 | 2306.06866 |
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling | Study Objective: Machine learning models have advanced medical image
processing and can yield faster, more accurate diagnoses. Despite a wealth of
available medical imaging data, high-quality labeled data for model training is
lacking. We investigated whether a gamified crowdsourcing platform enhanced
with inbuilt qual... | http://arxiv.org/abs/2306.06773v1 | cs.CY | not_new_dataset | 0.991899 | 2306.06773 |
Neural Architecture Design and Robustness: A Dataset | Deep learning models have proven to be successful in a wide range of machine
learning tasks. Yet, they are often highly sensitive to perturbations on the
input data which can lead to incorrect decisions with high confidence,
hampering their deployment for practical use-cases. Thus, finding architectures
that are (more)... | http://arxiv.org/abs/2306.06712v1 | cs.LG | new_dataset | 0.994279 | 2306.06712 |
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception | We introduce the Aria Digital Twin (ADT) - an egocentric dataset captured
using Aria glasses with extensive object, environment, and human level ground
truth. This ADT release contains 200 sequences of real-world activities
conducted by Aria wearers in two real indoor scenes with 398 object instances
(324 stationary an... | http://arxiv.org/abs/2306.06362v2 | cs.CV | new_dataset | 0.994546 | 2306.06362 |
Machine Learning Based Missing Values Imputation in Categorical Datasets | This study explored the use of machine learning algorithms for predicting and
imputing missing values in categorical datasets. We focused on ensemble models
that use the error correction output codes (ECOC) framework, including
SVM-based and KNN-based ensemble models, as well as an ensemble classifier that
combines SVM... | http://arxiv.org/abs/2306.06338v1 | cs.LG | not_new_dataset | 0.992207 | 2306.06338 |
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning | Recent research in computational imaging largely focuses on developing
machine learning (ML) techniques for image reconstruction, which requires
large-scale training datasets consisting of measurement data and ground-truth
images. However, suitable experimental datasets for X-ray Computed Tomography
(CT) are scarce, an... | http://arxiv.org/abs/2306.05907v1 | eess.IV | new_dataset | 0.994512 | 2306.05907 |
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data | Previous work on learning physical systems from data has focused on
high-resolution grid-structured measurements. However, real-world knowledge of
such systems (e.g. weather data) relies on sparsely scattered measuring
stations. In this paper, we introduce a novel simulated benchmark dataset,
DynaBench, for learning dy... | http://arxiv.org/abs/2306.05805v2 | cs.LG | new_dataset | 0.994491 | 2306.05805 |
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection | Machine learning is often used for malicious website detection, but an
approach incorporating WebAssembly as a feature has not been explored due to a
limited number of samples, to the best of our knowledge. In this paper, we
propose JABBERWOCK (JAvascript-Based Binary EncodeR by WebAssembly Optimization
paCKer), a tool... | http://arxiv.org/abs/2306.05698v1 | cs.CR | not_new_dataset | 0.992107 | 2306.05698 |
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean | We introduce Mesogeos, a large-scale multi-purpose dataset for wildfire
modeling in the Mediterranean. Mesogeos integrates variables representing
wildfire drivers (meteorology, vegetation, human activity) and historical
records of wildfire ignitions and burned areas for 17 years (2006-2022). It is
designed as a cloud-f... | http://arxiv.org/abs/2306.05144v1 | cs.CV | new_dataset | 0.994537 | 2306.05144 |
SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet | It is very important to access a rich music dataset that is useful in a wide
variety of applications. Currently, available datasets are mostly focused on
storing vocal or instrumental recording data and ignoring the requirement of
its visual representation and retrieval. This paper attempts to build an
XML-based public... | http://arxiv.org/abs/2306.04148v1 | cs.SD | new_dataset | 0.994489 | 2306.04148 |
VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research | Researchers have used machine learning approaches to identify motion sickness
in VR experience. These approaches demand an accurately-labeled, real-world,
and diverse dataset for high accuracy and generalizability. As a starting point
to address this need, we introduce `VR.net', a dataset offering approximately
12-hour... | http://arxiv.org/abs/2306.03381v1 | cs.AI | new_dataset | 0.994542 | 2306.03381 |
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions | Antibodies have become an important class of therapeutic agents to treat
human diseases. To accelerate therapeutic antibody discovery, computational
methods, especially machine learning, have attracted considerable interest for
predicting specific interactions between antibody candidates and target
antigens such as vir... | http://arxiv.org/abs/2306.03329v1 | cs.LG | new_dataset | 0.994501 | 2306.03329 |
Towards Coding Social Science Datasets with Language Models | Researchers often rely on humans to code (label, annotate, etc.) large sets
of texts. This kind of human coding forms an important part of social science
research, yet the coding process is both resource intensive and highly variable
from application to application. In some cases, efforts to automate this
process have ... | http://arxiv.org/abs/2306.02177v1 | cs.AI | not_new_dataset | 0.992015 | 2306.02177 |
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation | Many machine learning problems require performing dataset valuation, i.e. to
quantify the incremental gain, to some relevant pre-defined utility, of
aggregating an individual dataset to others. As seminal examples, dataset
valuation has been leveraged in collaborative and federated learning to create
incentives for dat... | http://arxiv.org/abs/2306.02071v1 | cs.AI | not_new_dataset | 0.992206 | 2306.02071 |
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection | The tremendous recent advances in generative artificial intelligence
techniques have led to significant successes and promise in a wide range of
different applications ranging from conversational agents and textual content
generation to voice and visual synthesis. Amid the rise in generative AI and
its increasing wides... | http://arxiv.org/abs/2306.01272v2 | cs.CV | new_dataset | 0.994516 | 2306.01272 |
MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals | MindBigData 2023 MNIST-8B is the largest, to date (June 1st 2023), brain
signals open dataset created for Machine Learning, based on EEG signals from a
single subject captured using a custom 128 channels device, replicating the
full 70,000 digits from Yaan LeCun et all MNIST dataset. The brain signals were
captured whi... | http://arxiv.org/abs/2306.00455v1 | cs.LG | new_dataset | 0.994517 | 2306.00455 |
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges | The deep learning, which is a dominating technique in artificial
intelligence, has completely changed the image understanding over the past
decade. As a consequence, the sea ice extraction (SIE) problem has reached a
new era. We present a comprehensive review of four important aspects of SIE,
including algorithms, data... | http://arxiv.org/abs/2306.00303v1 | cs.CV | not_new_dataset | 0.992056 | 2306.00303 |
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis | The burgeoning fields of machine learning (ML) and quantum machine learning
(QML) have shown remarkable potential in tackling complex problems across
various domains. However, their susceptibility to adversarial attacks raises
concerns when deploying these systems in security sensitive applications. In
this study, we p... | http://arxiv.org/abs/2305.19593v1 | cs.LG | not_new_dataset | 0.991994 | 2305.19593 |
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions | Video-grounded dialogue understanding is a challenging problem that requires
machine to perceive, parse and reason over situated semantics extracted from
weakly aligned video and dialogues. Most existing benchmarks treat both
modalities the same as a frame-independent visual understanding task, while
neglecting the int... | http://arxiv.org/abs/2305.18756v1 | cs.CV | new_dataset | 0.994436 | 2305.18756 |
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets | The development of large language models (LLMs) such as ChatGPT has brought a
lot of attention recently. However, their evaluation in the benchmark academic
datasets remains under-explored due to the difficulty of evaluating the
generative outputs produced by this model against the ground truth. In this
paper, we aim t... | http://arxiv.org/abs/2305.18486v4 | cs.CL | not_new_dataset | 0.992341 | 2305.18486 |
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore | Total Defence is a defence policy combining and extending the concept of
military defence and civil defence. While several countries have adopted total
defence as their defence policy, very few studies have investigated its
effectiveness. With the rapid proliferation of social media and digitalisation,
many social stud... | http://arxiv.org/abs/2305.17911v1 | cs.SI | new_dataset | 0.994474 | 2305.17911 |
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion | This paper introduces a novel approach to evaluating deep learning models'
capacity for in-diagram logic interpretation. Leveraging the intriguing realm
of visual illusions, we establish a unique dataset, InDL, designed to
rigorously test and benchmark these models. Deep learning has witnessed
remarkable progress in do... | http://arxiv.org/abs/2305.17716v4 | cs.CV | new_dataset | 0.994493 | 2305.17716 |
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language | This paper presents HaVQA, the first multimodal dataset for visual
question-answering (VQA) tasks in the Hausa language. The dataset was created
by manually translating 6,022 English question-answer pairs, which are
associated with 1,555 unique images from the Visual Genome dataset. As a
result, the dataset provides 12... | http://arxiv.org/abs/2305.17690v1 | cs.CL | new_dataset | 0.994489 | 2305.17690 |
ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic | Emotion recognition is a crucial task in Natural Language Processing (NLP)
that enables machines to comprehend the feelings conveyed in the text. The
applications of emotion recognition are diverse, including mental health
diagnosis, student support, and the detection of online suspicious behavior.
Despite the substant... | http://arxiv.org/abs/2305.17580v1 | cs.CL | new_dataset | 0.994488 | 2305.17580 |
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence | Despite the progress in deep learning networks, efficient learning at the
edge (enabling adaptable, low-complexity machine learning solutions) remains a
critical need for defense and commercial applications. We envision a pipeline
to utilize large neuroimaging datasets, including maps of the brain which
capture neuron ... | http://arxiv.org/abs/2305.17300v1 | cs.NE | not_new_dataset | 0.9922 | 2305.17300 |
BIG-C: a Multimodal Multi-Purpose Dataset for Bemba | We present BIG-C (Bemba Image Grounded Conversations), a large multimodal
dataset for Bemba. While Bemba is the most populous language of Zambia, it
exhibits a dearth of resources which render the development of language
technologies or language processing research almost impossible. The dataset is
comprised of multi-t... | http://arxiv.org/abs/2305.17202v1 | cs.CL | new_dataset | 0.994515 | 2305.17202 |
DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization | Data users need relevant context and research expertise to effectively search
for and identify relevant datasets. Leading data providers, such as the
Inter-university Consortium for Political and Social Research (ICPSR), offer
standardized metadata and search tools to support data search. Metadata
standards emphasize t... | http://arxiv.org/abs/2305.18358v1 | cs.IR | not_new_dataset | 0.989342 | 2305.18358 |
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions | Modern machine learning relies on datasets to develop and validate research
ideas. Given the growth of publicly available data, finding the right dataset
to use is increasingly difficult. Any research question imposes explicit and
implicit constraints on how well a given dataset will enable researchers to
answer this q... | http://arxiv.org/abs/2305.16636v2 | cs.IR | new_dataset | 0.99418 | 2305.16636 |
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation | Paraphrase generation is a long-standing task in natural language processing
(NLP). Supervised paraphrase generation models, which rely on human-annotated
paraphrase pairs, are cost-inefficient and hard to scale up. On the other hand,
automatically annotated paraphrase pairs (e.g., by machine back-translation),
usually... | http://arxiv.org/abs/2305.16585v1 | cs.CL | new_dataset | 0.994407 | 2305.16585 |
CVB: A Video Dataset of Cattle Visual Behaviors | Existing image/video datasets for cattle behavior recognition are mostly
small, lack well-defined labels, or are collected in unrealistic controlled
environments. This limits the utility of machine learning (ML) models learned
from them. Therefore, we introduce a new dataset, called Cattle Visual
Behaviors (CVB), that ... | http://arxiv.org/abs/2305.16555v2 | cs.CV | new_dataset | 0.994576 | 2305.16555 |
AUC Optimization from Multiple Unlabeled Datasets | Weakly supervised learning aims to empower machine learning when the perfect
supervision is unavailable, which has drawn great attention from researchers.
Among various types of weak supervision, one of the most challenging cases is
to learn from multiple unlabeled (U) datasets with only a little knowledge of
the class... | http://arxiv.org/abs/2305.15776v3 | cs.LG | not_new_dataset | 0.992218 | 2305.15776 |
Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation | Speech separation is very important in real-world applications such as
human-machine interaction, hearing aids devices, and automatic meeting
transcription. In recent years, a significant improvement occurred towards the
solution based on deep learning. In fact, much attention has been drawn to
supervised learning meth... | http://arxiv.org/abs/2305.15758v1 | cs.SD | new_dataset | 0.99368 | 2305.15758 |
SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation | Automatic literature review generation is one of the most challenging tasks
in natural language processing. Although large language models have tackled
literature review generation, the absence of large-scale datasets has been a
stumbling block to the progress. We release SciReviewGen, consisting of over
10,000 literat... | http://arxiv.org/abs/2305.15186v1 | cs.CL | new_dataset | 0.99438 | 2305.15186 |
Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems | This report overviews our ongoing work in enriching chain-of-thoughts
datasets requiring arithmetical reasoning with the integration of
non-parametric components, such as a calculator. We conduct an analysis of
prominent relevant datasets such as GSM8K, Ape210K, AQuA-RAT, and MathQA and
propose a machine-processable HT... | http://arxiv.org/abs/2305.15017v1 | cs.LG | not_new_dataset | 0.990214 | 2305.15017 |
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation | Sanskrit is a low-resource language with a rich heritage. Digitized Sanskrit
corpora reflective of the contemporary usage of Sanskrit, specifically that too
in prose, is heavily under-represented at present. Presently, no such
English-Sanskrit parallel dataset is publicly available. We release a dataset,
S\={a}mayik, o... | http://arxiv.org/abs/2305.14004v1 | cs.CL | new_dataset | 0.994475 | 2305.14004 |
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation | We present a large-scale video subtitle translation dataset, BigVideo, to
facilitate the study of multi-modality machine translation. Compared with the
widely used How2 and VaTeX datasets, BigVideo is more than 10 times larger,
consisting of 4.5 million sentence pairs and 9,981 hours of videos. We also
introduce two de... | http://arxiv.org/abs/2305.18326v3 | cs.CV | new_dataset | 0.994431 | 2305.18326 |
TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation | Tense inconsistency frequently occurs in machine translation. However, there
are few criteria to assess the model's mastery of tense prediction from a
linguistic perspective. In this paper, we present a parallel tense test set,
containing French-English 552 utterances. We also introduce a corresponding
benchmark, tense... | http://arxiv.org/abs/2305.13740v1 | cs.CL | new_dataset | 0.994371 | 2305.13740 |
Evaluating Model Performance in Medical Datasets Over Time | Machine learning (ML) models deployed in healthcare systems must face data
drawn from continually evolving environments. However, researchers proposing
such models typically evaluate them in a time-agnostic manner, splitting
datasets according to patients sampled randomly throughout the entire study
time period. This w... | http://arxiv.org/abs/2305.13426v2 | cs.LG | not_new_dataset | 0.992188 | 2305.13426 |
Leveraging Human Feedback to Scale Educational Datasets: Combining Crowdworkers and Comparative Judgement | Machine Learning models have many potentially beneficial applications in
education settings, but a key barrier to their development is securing enough
data to train these models. Labelling educational data has traditionally relied
on highly skilled raters using complex, multi-class rubrics, making the process
expensive... | http://arxiv.org/abs/2305.12894v1 | cs.CL | not_new_dataset | 0.992043 | 2305.12894 |
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results | In precision agriculture, detecting productive crop fields is an essential
practice that allows the farmer to evaluate operating performance separately
and compare different seed varieties, pesticides, and fertilizers. However,
manually identifying productive fields is often a time-consuming and
error-prone task. Previ... | http://arxiv.org/abs/2305.11990v2 | cs.CV | new_dataset | 0.994537 | 2305.11990 |
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning | The volume of data from current and future observatories has motivated the
increased development and application of automated machine learning
methodologies for astronomy. However, less attention has been given to the
production of standardised datasets for assessing the performance of different
machine learning algori... | http://arxiv.org/abs/2305.11108v1 | astro-ph.IM | new_dataset | 0.994551 | 2305.11108 |
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction | Most research in Relation Extraction (RE) involves the English language,
mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE,
the broadest multi-lingual dataset for RE, including 26 languages in addition
to English, and covering six text domains. Multi-CrossRE is a machine
translated version of ... | http://arxiv.org/abs/2305.10985v1 | cs.CL | new_dataset | 0.994547 | 2305.10985 |
Solar Active Region Magnetogram Image Dataset for Studies of Space Weather | In this dataset we provide a comprehensive collection of magnetograms (images
quantifying the strength of the magnetic field) from the National Aeronautics
and Space Administration's (NASA's) Solar Dynamics Observatory (SDO). The
dataset incorporates data from three sources and provides SDO Helioseismic and
Magnetic Im... | http://arxiv.org/abs/2305.09492v2 | astro-ph.SR | new_dataset | 0.994557 | 2305.09492 |
Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning | Machine learning has recently made significant strides in reducing design
cycle time for complex products. Ship design, which currently involves years
long cycles and small batch production, could greatly benefit from these
advancements. By developing a machine learning tool for ship design that learns
from the design ... | http://arxiv.org/abs/2305.08279v2 | cs.LG | new_dataset | 0.994549 | 2305.08279 |
Anomaly Detection Dataset for Industrial Control Systems | Over the past few decades, Industrial Control Systems (ICSs) have been
targeted by cyberattacks and are becoming increasingly vulnerable as more ICSs
are connected to the internet. Using Machine Learning (ML) for Intrusion
Detection Systems (IDS) is a promising approach for ICS cyber protection, but
the lack of suitabl... | http://arxiv.org/abs/2305.09678v1 | cs.CR | new_dataset | 0.994502 | 2305.09678 |
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets | We introduce the Collection Space Navigator (CSN), a browser-based
visualization tool to explore, research, and curate large collections of visual
digital artifacts that are associated with multidimensional data, such as
vector embeddings or tables of metadata. Media objects such as images are often
encoded as numerica... | http://arxiv.org/abs/2305.06809v1 | cs.CV | not_new_dataset | 0.962312 | 2305.06809 |
BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews | The analysis of consumer sentiment, as expressed through reviews, can provide
a wealth of insight regarding the quality of a product. While the study of
sentiment analysis has been widely explored in many popular languages,
relatively less attention has been given to the Bangla language, mostly due to
a lack of relevan... | http://arxiv.org/abs/2305.06595v3 | cs.CL | new_dataset | 0.994482 | 2305.06595 |
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser | Spectral clustering is one of the most popular clustering algorithms that has
stood the test of time. It is simple to describe, can be implemented using
standard linear algebra, and often finds better clusters than traditional
clustering algorithms like $k$-means and $k$-centers. The foundational
algorithm for two-way ... | http://arxiv.org/abs/2305.06541v1 | cs.LG | not_new_dataset | 0.992087 | 2305.06541 |
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia | Wikipedia can be edited by anyone and thus contains various quality
sentences. Therefore, Wikipedia includes some poor-quality edits, which are
often marked up by other editors. While editors' reviews enhance the
credibility of Wikipedia, it is hard to check all edited text. Assisting in
this process is very important,... | http://arxiv.org/abs/2305.05928v1 | cs.CL | new_dataset | 0.994403 | 2305.05928 |
Augmented Datasheets for Speech Datasets and Ethical Decision-Making | Speech datasets are crucial for training Speech Language Technologies (SLT);
however, the lack of diversity of the underlying training data can lead to
serious limitations in building equitable and robust SLT products, especially
along dimensions of language, accent, dialect, variety, and speech impairment -
and the in... | http://arxiv.org/abs/2305.04672v1 | cs.CY | not_new_dataset | 0.98482 | 2305.04672 |
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset | Relation extraction (RE) is a fundamental task in information extraction,
whose extension to multilingual settings has been hindered by the lack of
supervised resources comparable in size to large English datasets such as
TACRED (Zhang et al., 2017). To address this gap, we introduce the MultiTACRED
dataset, covering 1... | http://arxiv.org/abs/2305.04582v2 | cs.CL | new_dataset | 0.994431 | 2305.04582 |
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis | Algorithms for approximate nearest-neighbor search (ANNS) have been the topic
of significant recent interest in the research community. However, evaluations
of such algorithms are usually restricted to a small number of datasets with
millions or tens of millions of points, whereas real-world applications require
algori... | http://arxiv.org/abs/2305.04359v1 | cs.IR | not_new_dataset | 0.991472 | 2305.04359 |
Considerations for Ethical Speech Recognition Datasets | Speech AI Technologies are largely trained on publicly available datasets or
by the massive web-crawling of speech. In both cases, data acquisition focuses
on minimizing collection effort, without necessarily taking the data subjects'
protection or user needs into consideration. This results to models that are
not robu... | http://arxiv.org/abs/2305.02081v1 | cs.CY | not_new_dataset | 0.99218 | 2305.02081 |
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model | The success of the Segment Anything Model (SAM) demonstrates the significance
of data-centric machine learning. However, due to the difficulties and high
costs associated with annotating Remote Sensing (RS) images, a large amount of
valuable RS data remains unlabeled, particularly at the pixel level. In this
study, we ... | http://arxiv.org/abs/2305.02034v2 | cs.CV | new_dataset | 0.994428 | 2305.02034 |
A Survey on Dataset Distillation: Approaches, Applications and Future Directions | Dataset distillation is attracting more attention in machine learning as
training sets continue to grow and the cost of training state-of-the-art models
becomes increasingly high. By synthesizing datasets with high information
density, dataset distillation offers a range of potential applications,
including support for... | http://arxiv.org/abs/2305.01975v3 | cs.LG | not_new_dataset | 0.992036 | 2305.01975 |
NorQuAD: Norwegian Question Answering Dataset | In this paper we present NorQuAD: the first Norwegian question answering
dataset for machine reading comprehension. The dataset consists of 4,752
manually created question-answer pairs. We here detail the data collection
procedure and present statistics of the dataset. We also benchmark several
multilingual and Norwegi... | http://arxiv.org/abs/2305.01957v1 | cs.CL | new_dataset | 0.99436 | 2305.01957 |
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets | Medical internet of things leads to revolutionary improvements in medical
services, also known as smart healthcare. With the big healthcare data, data
mining and machine learning can assist wellness management and intelligent
diagnosis, and achieve the P4-medicine. However, healthcare data has high
sparsity and heterog... | http://arxiv.org/abs/2305.01252v1 | cs.LG | not_new_dataset | 0.991726 | 2305.01252 |
S2abEL: A Dataset for Entity Linking from Scientific Tables | Entity linking (EL) is the task of linking a textual mention to its
corresponding entry in a knowledge base, and is critical for many
knowledge-intensive NLP applications. When applied to tables in scientific
papers, EL is a step toward large-scale scientific knowledge bases that could
enable advanced scientific questi... | http://arxiv.org/abs/2305.00366v1 | cs.CL | new_dataset | 0.99456 | 2305.00366 |
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels | In the last years, several machine learning-based techniques have been
proposed to monitor human movements from Wi-Fi channel readings. However, the
development of domain-adaptive algorithms that robustly work across different
environments is still an open problem, whose solution requires large datasets
characterized b... | http://arxiv.org/abs/2305.03170v1 | eess.SP | new_dataset | 0.994552 | 2305.03170 |
HeySQuAD: A Spoken Question Answering Dataset | Human-spoken questions are critical to evaluating the performance of spoken
question answering (SQA) systems that serve several real-world use cases
including digital assistants. We present a new large-scale community-shared SQA
dataset, HeySQuAD that consists of 76k human-spoken questions and 97k
machine-generated que... | http://arxiv.org/abs/2304.13689v1 | cs.CL | new_dataset | 0.994506 | 2304.13689 |
On the redundancy in large material datasets: efficient and robust learning with less data | Extensive efforts to gather materials data have largely overlooked potential
data redundancy. In this study, we present evidence of a significant degree of
redundancy across multiple large datasets for various material properties, by
revealing that up to 95 % of data can be safely removed from machine learning
training... | http://arxiv.org/abs/2304.13076v2 | cond-mat.mtrl-sci | not_new_dataset | 0.99217 | 2304.13076 |
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets | New generations of power systems, containing high shares of renewable energy
resources, require improved data-driven tools which can swiftly adapt to
changes in system operation. Many of these tools, such as ones using machine
learning, rely on high-quality training datasets to construct probabilistic
models. Such mode... | http://arxiv.org/abs/2304.10912v1 | eess.SY | not_new_dataset | 0.991748 | 2304.10912 |
Application of quantum-inspired generative models to small molecular datasets | Quantum and quantum-inspired machine learning has emerged as a promising and
challenging research field due to the increased popularity of quantum
computing, especially with near-term devices. Theoretical contributions point
toward generative modeling as a promising direction to realize the first
examples of real-world... | http://arxiv.org/abs/2304.10867v1 | quant-ph | not_new_dataset | 0.991291 | 2304.10867 |
HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation | The advancement of computer vision and machine learning has made datasets a
crucial element for further research and applications. However, the creation
and development of robots with advanced recognition capabilities are hindered
by the lack of appropriate datasets. Existing image or video processing
datasets are unab... | http://arxiv.org/abs/2304.10854v1 | cs.CV | new_dataset | 0.994464 | 2304.10854 |
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions | We introduce dataset multiplicity, a way to study how inaccuracies,
uncertainty, and social bias in training datasets impact test-time predictions.
The dataset multiplicity framework asks a counterfactual question of what the
set of resultant models (and associated test-time predictions) would be if we
could somehow ac... | http://arxiv.org/abs/2304.10655v1 | cs.LG | not_new_dataset | 0.992135 | 2304.10655 |
Is augmentation effective to improve prediction in imbalanced text datasets? | Imbalanced datasets present a significant challenge for machine learning
models, often leading to biased predictions. To address this issue, data
augmentation techniques are widely used in natural language processing (NLP) to
generate new samples for the minority class. However, in this paper, we
challenge the common a... | http://arxiv.org/abs/2304.10283v1 | cs.CL | not_new_dataset | 0.991772 | 2304.10283 |
HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning | Machine-learning methods rely on sufficiently large dataset to learn data
distributions. They are widely used in research in X-Ray Computed Tomography,
from low-dose scan denoising to optimisation of the reconstruction process. The
lack of datasets prevents the scalability of these methods to realistic 3D
problems. We ... | http://arxiv.org/abs/2304.14412v1 | eess.IV | new_dataset | 0.994517 | 2304.14412 |
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets | Dialogue acts (DAs) can represent conversational actions of tutors or
students that take place during tutoring dialogues. Automating the
identification of DAs in tutoring dialogues is significant to the design of
dialogue-based intelligent tutoring systems. Many prior studies employ machine
learning models to classify ... | http://arxiv.org/abs/2304.07499v1 | cs.CL | not_new_dataset | 0.992221 | 2304.07499 |
Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter | Vaccine hesitancy continues to be a main challenge for public health
officials during the COVID-19 pandemic. As this hesitancy undermines vaccine
campaigns, many researchers have sought to identify its root causes, finding
that the increasing volume of anti-vaccine misinformation on social media
platforms is a key elem... | http://arxiv.org/abs/2304.06858v3 | cs.SI | new_dataset | 0.994557 | 2304.06858 |
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition | Sign languages are used as a primary language by approximately 70 million
D/deaf people world-wide. However, most communication technologies operate in
spoken and written languages, creating inequities in access. To help tackle
this problem, we release ASL Citizen, the first crowdsourced Isolated Sign
Language Recognit... | http://arxiv.org/abs/2304.05934v2 | cs.CV | new_dataset | 0.994518 | 2304.05934 |
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data | Recently, a new form of magnetic resonance imaging (MRI) called synthetic
correlated diffusion (CDI$^s$) imaging was introduced and showed considerable
promise for clinical decision support for cancers such as prostate cancer when
compared to current gold-standard MRI techniques. However, the efficacy for
CDI$^s$ for o... | http://arxiv.org/abs/2304.05623v1 | eess.IV | new_dataset | 0.994491 | 2304.05623 |
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation | 77% of adults over 50 want to age in place today, presenting a major
challenge to ensuring adequate nutritional intake. It has been reported that
one in four older adults that are 65 years or older are malnourished and given
the direct link between malnutrition and decreased quality of life, there have
been numerous st... | http://arxiv.org/abs/2304.05619v1 | cs.CV | new_dataset | 0.994549 | 2304.05619 |
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines | Through this paper, we introduce a novel driver cognitive load assessment
dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with
other physiological signals such as Electrocardiography (ECG) and Electrodermal
Activity (EDA) as well as eye tracking data. The data was collected from 21
subjects w... | http://arxiv.org/abs/2304.04273v1 | cs.LG | new_dataset | 0.99446 | 2304.04273 |
The Saudi Privacy Policy Dataset | This paper introduces the Saudi Privacy Policy Dataset, a diverse compilation
of Arabic privacy policies from various sectors in Saudi Arabia, annotated
according to the 10 principles of the Personal Data Protection Law (PDPL); the
PDPL was established to be compatible with General Data Protection Regulation
(GDPR); on... | http://arxiv.org/abs/2304.02757v1 | cs.CL | new_dataset | 0.994539 | 2304.02757 |
Statistics of extreme events in coarse-scale climate simulations via machine learning correction operators trained on nudged datasets | This work presents a systematic framework for improving the predictions of
statistical quantities for turbulent systems, with a focus on correcting
climate simulations obtained by coarse-scale models. While high resolution
simulations or reanalysis data are available, they cannot be directly used as
training datasets t... | http://arxiv.org/abs/2304.02117v1 | physics.ao-ph | not_new_dataset | 0.992065 | 2304.02117 |
Distance-based Analysis of Machine Learning Prediction Reliability for Datasets in Materials Science and Other Fields | Despite successful use in a wide variety of disciplines for data analysis and
prediction, machine learning (ML) methods suffer from a lack of understanding
of the reliability of predictions due to the lack of transparency and black-box
nature of ML models. In materials science and other fields, typical ML model
results... | http://arxiv.org/abs/2304.01146v1 | cond-mat.mtrl-sci | not_new_dataset | 0.992094 | 2304.01146 |
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification | Current research on hate speech analysis is typically oriented towards
monolingual and single classification tasks. In this paper, we present a new
multilingual hate speech analysis dataset for English, Hindi, Arabic, French,
German and Spanish languages for multiple domains across hate speech - Abuse,
Racism, Sexism, ... | http://arxiv.org/abs/2304.00913v1 | cs.CL | new_dataset | 0.994545 | 2304.00913 |
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels | Allowing organizations to share their data for training of machine learning
(ML) models without unintended information leakage is an open problem in
practice. A promising technique for this still-open problem is to train models
on the encoded data. Our approach, called Privately Encoded Open Datasets with
Public Labels... | http://arxiv.org/abs/2304.00047v1 | cs.LG | not_new_dataset | 0.992232 | 2304.00047 |
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