text stringlengths 307 2.02k | inputs dict | prediction null | prediction_agent null | annotation stringclasses 2
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TITLE: WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
ABSTRACT: We introduce WikiLingua, a large-scale, multilingual dataset for the
evaluation of crosslingual abstractive summarization systems. We extract
article and summary pairs in 18 languages from WikiHow, a high quality,
collabo... | {
"abstract": "We introduce WikiLingua, a large-scale, multilingual dataset for the\nevaluation of crosslingual abstractive summarization systems. We extract\narticle and summary pairs in 18 languages from WikiHow, a high quality,\ncollaborative resource of how-to guides on a diverse set of topics written by\nhuman a... | null | null | new_dataset | admin | null | false | null | 2b06bf83-4565-40c7-bd94-55d327c90489 | null | Validated | {
"text_length": 1034
} | 0new_dataset |
TITLE: Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
ABSTRACT: Purpose: Hard-to-interpret Black-box Machine Learning (ML) were often used
for early Alzheimer's Disease (AD) detection.
Methods: To interpret eXtreme Gradient Boosting... | {
"abstract": "Purpose: Hard-to-interpret Black-box Machine Learning (ML) were often used\nfor early Alzheimer's Disease (AD) detection.\n Methods: To interpret eXtreme Gradient Boosting (XGBoost), Random Forest\n(RF), and Support Vector Machine (SVM) black-box models a workflow based on\nShapley values was develope... | null | null | no_new_dataset | admin | null | false | null | 36f5d66c-94a0-4d1c-88c0-f8cd4806b0b1 | null | Validated | {
"text_length": 1995
} | 1no_new_dataset |
TITLE: A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset
ABSTRACT: This study presents machine learning models that forecast and categorize lost
circulation severity preemptively using a large class imbalanced drilling
datase... | {
"abstract": "This study presents machine learning models that forecast and categorize lost\ncirculation severity preemptively using a large class imbalanced drilling\ndataset. We demonstrate reproducible core techniques involved in tackling a\nlarge drilling engineering challenge utilizing easily interpretable mach... | null | null | no_new_dataset | admin | null | false | null | aa7fbe27-3a54-4e61-9172-64185ae18634 | null | Validated | {
"text_length": 2012
} | 1no_new_dataset |
TITLE: Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
ABSTRACT: Movie-making has become one of the most costly and risky endeavors in the
entertainment industry. Continuous change in the preference of the audience
makes it harder to predict what ... | {
"abstract": "Movie-making has become one of the most costly and risky endeavors in the\nentertainment industry. Continuous change in the preference of the audience\nmakes it harder to predict what kind of movie will be financially successful at\nthe box office. So, it is no wonder that cautious, intelligent stakeho... | null | null | new_dataset | admin | null | false | null | 14366fed-8b51-40fd-9cc3-c8ff049dd855 | null | Validated | {
"text_length": 2030
} | 0new_dataset |
TITLE: Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering
ABSTRACT: Fighting online hate speech is a challenge that is usually addressed using
Natural Language Processing via automatic detection and removal of hate
content. Besides this approach, counter narratives have emer... | {
"abstract": "Fighting online hate speech is a challenge that is usually addressed using\nNatural Language Processing via automatic detection and removal of hate\ncontent. Besides this approach, counter narratives have emerged as an effective\ntool employed by NGOs to respond to online hate on social media platforms... | null | null | new_dataset | admin | null | false | null | 7846bbb9-9c43-48f8-8277-1d711ec791c7 | null | Validated | {
"text_length": 1152
} | 0new_dataset |
TITLE: MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition
ABSTRACT: We present MultiCoNER, a large multilingual dataset for Named Entity
Recognition that covers 3 domains (Wiki sentences, questions, and search
queries) across 11 languages, as well as multilingual and code-mixing subse... | {
"abstract": "We present MultiCoNER, a large multilingual dataset for Named Entity\nRecognition that covers 3 domains (Wiki sentences, questions, and search\nqueries) across 11 languages, as well as multilingual and code-mixing subsets.\nThis dataset is designed to represent contemporary challenges in NER, including... | null | null | new_dataset | admin | null | false | null | 56aa19a9-b936-46d9-9501-40cba4082c0e | null | Validated | {
"text_length": 1375
} | 0new_dataset |
TITLE: Healthsheet: Development of a Transparency Artifact for Health Datasets
ABSTRACT: Machine learning (ML) approaches have demonstrated promising results in a
wide range of healthcare applications. Data plays a crucial role in developing
ML-based healthcare systems that directly affect people's lives. Many of the... | {
"abstract": "Machine learning (ML) approaches have demonstrated promising results in a\nwide range of healthcare applications. Data plays a crucial role in developing\nML-based healthcare systems that directly affect people's lives. Many of the\nethical issues surrounding the use of ML in healthcare stem from struc... | null | null | no_new_dataset | admin | null | false | null | 11460e75-a3e1-47e4-b475-05f92c8cf564 | null | Validated | {
"text_length": 1803
} | 1no_new_dataset |
TITLE: CoAP-DoS: An IoT Network Intrusion Dataset
ABSTRACT: The need for secure Internet of Things (IoT) devices is growing as IoT
devices are becoming more integrated into vital networks. Many systems rely on
these devices to remain available and provide reliable service. Denial of
service attacks against IoT device... | {
"abstract": "The need for secure Internet of Things (IoT) devices is growing as IoT\ndevices are becoming more integrated into vital networks. Many systems rely on\nthese devices to remain available and provide reliable service. Denial of\nservice attacks against IoT devices are a real threat due to the fact these ... | null | null | new_dataset | admin | null | false | null | 96fb32b7-5a67-43e2-bf98-3001963116fe | null | Validated | {
"text_length": 1049
} | 0new_dataset |
TITLE: Multi-feature Dataset for Windows PE Malware Classification
ABSTRACT: This paper describes a multi-feature dataset for training machine learning
classifiers for detecting malicious Windows Portable Executable (PE) files. The
dataset includes four feature sets from 18,551 binary samples belonging to five
malwar... | {
"abstract": "This paper describes a multi-feature dataset for training machine learning\nclassifiers for detecting malicious Windows Portable Executable (PE) files. The\ndataset includes four feature sets from 18,551 binary samples belonging to five\nmalware families including Spyware, Ransomware, Downloader, Backd... | null | null | new_dataset | admin | null | false | null | 59ca26fc-a4b8-4f78-94dd-16d31625ab97 | null | Validated | {
"text_length": 908
} | 0new_dataset |
TITLE: Avast-CTU Public CAPE Dataset
ABSTRACT: There is a limited amount of publicly available data to support research in
malware analysis technology. Particularly, there are virtually no publicly
available datasets generated from rich sandboxes such as Cuckoo/CAPE. The
benefit of using dynamic sandboxes is the real... | {
"abstract": "There is a limited amount of publicly available data to support research in\nmalware analysis technology. Particularly, there are virtually no publicly\navailable datasets generated from rich sandboxes such as Cuckoo/CAPE. The\nbenefit of using dynamic sandboxes is the realistic simulation of file\nexe... | null | null | new_dataset | admin | null | false | null | 96829754-3cc8-440a-b232-1ca48c2a3c34 | null | Validated | {
"text_length": 1172
} | 0new_dataset |
TITLE: RDD2022: A multi-national image dataset for automatic Road Damage Detection
ABSTRACT: The data article describes the Road Damage Dataset, RDD2022, which comprises
47,420 road images from six countries, Japan, India, the Czech Republic,
Norway, the United States, and China. The images have been annotated with m... | {
"abstract": "The data article describes the Road Damage Dataset, RDD2022, which comprises\n47,420 road images from six countries, Japan, India, the Czech Republic,\nNorway, the United States, and China. The images have been annotated with more\nthan 55,000 instances of road damage. Four types of road damage, namely... | null | null | new_dataset | admin | null | false | null | c0bcb794-f281-44ee-819a-6bb0253283a0 | null | Validated | {
"text_length": 1284
} | 0new_dataset |
TITLE: AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
ABSTRACT: 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
realis... | {
"abstract": "Designing robust machine learning systems remains an open problem, and there\nis a need for benchmark problems that cover both environmental changes and\nevaluation on a downstream task. In this work, we introduce AVOIDDS, a\nrealistic object detection benchmark for the vision-based aircraft\ndetect-an... | null | null | new_dataset | admin | null | false | null | 1d5acbd8-5051-49fe-b87f-c90562bbe35f | null | Validated | {
"text_length": 1361
} | 0new_dataset |
TITLE: COMPASS: A Formal Framework and Aggregate Dataset for Generalized Surgical Procedure Modeling
ABSTRACT: Purpose: We propose a formal framework for the modeling and segmentation of
minimally-invasive surgical tasks using a unified set of motion primitives
(MPs) to enable more objective labeling and the aggregat... | {
"abstract": "Purpose: We propose a formal framework for the modeling and segmentation of\nminimally-invasive surgical tasks using a unified set of motion primitives\n(MPs) to enable more objective labeling and the aggregation of different\ndatasets.\n Methods: We model dry-lab surgical tasks as finite state machin... | null | null | new_dataset | admin | null | false | null | 7ddec2dd-89f4-475d-9328-c02c883bac86 | null | Validated | {
"text_length": 1884
} | 0new_dataset |
TITLE: DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data
ABSTRACT: 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 measu... | {
"abstract": "Previous work on learning physical systems from data has focused on\nhigh-resolution grid-structured measurements. However, real-world knowledge of\nsuch systems (e.g. weather data) relies on sparsely scattered measuring\nstations. In this paper, we introduce a novel simulated benchmark dataset,\nDynaB... | null | null | new_dataset | admin | null | false | null | ea320f3e-d049-455e-adcc-bfbdd1fa8a2b | null | Validated | {
"text_length": 1261
} | 0new_dataset |
TITLE: Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
ABSTRACT: Accurate channel knowledge is critical in massive multiple-input
multiple-output (MIMO), which motivates the use of channel prediction. Machine
learning techniques for channel prediction hold much promise... | {
"abstract": "Accurate channel knowledge is critical in massive multiple-input\nmultiple-output (MIMO), which motivates the use of channel prediction. Machine\nlearning techniques for channel prediction hold much promise, but current\nschemes are limited in their ability to adapt to changes in the environment\nbecau... | null | null | no_new_dataset | admin | null | false | null | 60b9cb2d-7bc6-46ad-bc59-6a260bc9a069 | null | Validated | {
"text_length": 1214
} | 1no_new_dataset |
TITLE: TTSWING: a Dataset for Table Tennis Swing Analysis
ABSTRACT: We introduce TTSWING, a novel dataset designed for table tennis swing
analysis. This dataset comprises comprehensive swing information obtained
through 9-axis sensors integrated into custom-made racket grips, accompanied by
anonymized demographic dat... | {
"abstract": "We introduce TTSWING, a novel dataset designed for table tennis swing\nanalysis. This dataset comprises comprehensive swing information obtained\nthrough 9-axis sensors integrated into custom-made racket grips, accompanied by\nanonymized demographic data of the players. We detail the data collection an... | null | null | new_dataset | admin | null | false | null | 1279b7a2-2a6a-437b-ad7e-bc5a87c03f53 | null | Validated | {
"text_length": 747
} | 0new_dataset |
TITLE: Evaluating and Crafting Datasets Effective for Deep Learning With Data Maps
ABSTRACT: Rapid development in deep learning model construction has prompted an
increased need for appropriate training data. The popularity of large datasets
- sometimes known as "big data" - has diverted attention from assessing thei... | {
"abstract": "Rapid development in deep learning model construction has prompted an\nincreased need for appropriate training data. The popularity of large datasets\n- sometimes known as \"big data\" - has diverted attention from assessing their\nquality. Training on large datasets often requires excessive system res... | null | null | no_new_dataset | admin | null | false | null | 35163b28-914d-472d-b705-15c31d09c376 | null | Validated | {
"text_length": 866
} | 1no_new_dataset |
TITLE: Dataset Inference: Ownership Resolution in Machine Learning
ABSTRACT: With increasingly more data and computation involved in their training,
machine learning models constitute valuable intellectual property. This has
spurred interest in model stealing, which is made more practical by advances in
learning with... | {
"abstract": "With increasingly more data and computation involved in their training,\nmachine learning models constitute valuable intellectual property. This has\nspurred interest in model stealing, which is made more practical by advances in\nlearning with partial, little, or no supervision. Existing defenses focu... | null | null | no_new_dataset | admin | null | false | null | 34e24349-1528-48dd-a7cc-b25e36470f4d | null | Validated | {
"text_length": 1786
} | 1no_new_dataset |
TITLE: A Benchmark dataset for predictive maintenance
ABSTRACT: The paper describes the MetroPT data set, an outcome of a eXplainable
Predictive Maintenance (XPM) project with an urban metro public transportation
service in Porto, Portugal. The data was collected in 2022 that aimed to
evaluate machine learning method... | {
"abstract": "The paper describes the MetroPT data set, an outcome of a eXplainable\nPredictive Maintenance (XPM) project with an urban metro public transportation\nservice in Porto, Portugal. The data was collected in 2022 that aimed to\nevaluate machine learning methods for online anomaly detection and failure\npr... | null | null | new_dataset | admin | null | false | null | 35d2af1e-7208-481b-b3eb-491c6f840920 | null | Validated | {
"text_length": 795
} | 0new_dataset |
TITLE: Data Feedback Loops: Model-driven Amplification of Dataset Biases
ABSTRACT: Datasets scraped from the internet have been critical to the successes of
large-scale machine learning. Yet, this very success puts the utility of future
internet-derived datasets at potential risk, as model outputs begin to replace
hu... | {
"abstract": "Datasets scraped from the internet have been critical to the successes of\nlarge-scale machine learning. Yet, this very success puts the utility of future\ninternet-derived datasets at potential risk, as model outputs begin to replace\nhuman annotations as a source of supervision.\n In this work, we f... | null | null | no_new_dataset | admin | null | false | null | e56879a8-ab90-4429-ad5e-20889e984deb | null | Validated | {
"text_length": 1276
} | 1no_new_dataset |
TITLE: ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
ABSTRACT: Numerical simulations of Earth's weather and climate require substantial
amounts of computation. This has led to a growing interest in replacing
subroutines that explicitly compute physical process... | {
"abstract": "Numerical simulations of Earth's weather and climate require substantial\namounts of computation. This has led to a growing interest in replacing\nsubroutines that explicitly compute physical processes with approximate machine\nlearning (ML) methods that are fast at inference time. Within weather and\n... | null | null | new_dataset | admin | null | false | null | 279620ec-4c31-4ecb-9f13-d91a3b39ebe6 | null | Validated | {
"text_length": 1354
} | 0new_dataset |
TITLE: Critical Evaluation of LOCO dataset with Machine Learning
ABSTRACT: Purpose: Object detection is rapidly evolving through machine learning
technology in automation systems. Well prepared data is necessary to train the
algorithms. Accordingly, the objective of this paper is to describe a
re-evaluation of the so... | {
"abstract": "Purpose: Object detection is rapidly evolving through machine learning\ntechnology in automation systems. Well prepared data is necessary to train the\nalgorithms. Accordingly, the objective of this paper is to describe a\nre-evaluation of the so-called Logistics Objects in Context (LOCO) dataset,\nwhi... | null | null | no_new_dataset | admin | null | false | null | 7892fa27-e42b-4d96-936e-9fd751f74bbe | null | Validated | {
"text_length": 1559
} | 1no_new_dataset |
TITLE: Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
ABSTRACT: As our ability to sense increases, we are experiencing a transition from
data-poor problems, in which the central issue is a lack of relevant data, to
data-rich problems, in which the central issue is to identif... | {
"abstract": "As our ability to sense increases, we are experiencing a transition from\ndata-poor problems, in which the central issue is a lack of relevant data, to\ndata-rich problems, in which the central issue is to identify a few relevant\nfeatures in a sea of observations. Motivated by applications in\ngravita... | null | null | no_new_dataset | admin | null | false | null | 354aa25b-0f94-4d9e-b412-a830e2809237 | null | Validated | {
"text_length": 2031
} | 1no_new_dataset |
TITLE: Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes
ABSTRACT: Knowledge is central to human and scientific developments. Natural Language
Processing (NLP) allows automated analysis and creation of knowledge. Data is a
crucial NLP and machine learning ingred... | {
"abstract": "Knowledge is central to human and scientific developments. Natural Language\nProcessing (NLP) allows automated analysis and creation of knowledge. Data is a\ncrucial NLP and machine learning ingredient. The scarcity of open datasets is a\nwell-known problem in machine and deep learning research. This i... | null | null | new_dataset | admin | null | false | null | 7fe08fc6-104f-4522-b868-4114f14aa33c | null | Validated | {
"text_length": 1714
} | 0new_dataset |
TITLE: The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
ABSTRACT: The development of machine learning models for electrocatalysts requires a
broad set of training data to enable their use across a wide variety of
materials. One class of materials that currently lacks sufficient training... | {
"abstract": "The development of machine learning models for electrocatalysts requires a\nbroad set of training data to enable their use across a wide variety of\nmaterials. One class of materials that currently lacks sufficient training data\nis oxides, which are critical for the development of OER catalysts. To ad... | null | null | new_dataset | admin | null | false | null | 165e43bb-eb0b-4bc5-a64e-a4cdf40f12c2 | null | Validated | {
"text_length": 1646
} | 0new_dataset |
TITLE: BrazilDAM: A Benchmark dataset for Tailings Dam Detection
ABSTRACT: In this work we present BrazilDAM, a novel public dataset based on Sentinel-2
and Landsat-8 satellite images covering all tailings dams cataloged by the
Brazilian National Mining Agency (ANM). The dataset was built using
georeferenced images f... | {
"abstract": "In this work we present BrazilDAM, a novel public dataset based on Sentinel-2\nand Landsat-8 satellite images covering all tailings dams cataloged by the\nBrazilian National Mining Agency (ANM). The dataset was built using\ngeoreferenced images from 769 dams, recorded between 2016 and 2019. The time\ns... | null | null | new_dataset | admin | null | false | null | df34d82e-ae49-42db-b2cc-daf65dee09d6 | null | Validated | {
"text_length": 1271
} | 0new_dataset |
TITLE: Generative Adversarial Nets: Can we generate a new dataset based on only one training set?
ABSTRACT: A generative adversarial network (GAN) is a class of machine learning
frameworks designed by Goodfellow et al. in 2014. In the GAN framework, the
generative model is pitted against an adversary: a discriminativ... | {
"abstract": "A generative adversarial network (GAN) is a class of machine learning\nframeworks designed by Goodfellow et al. in 2014. In the GAN framework, the\ngenerative model is pitted against an adversary: a discriminative model that\nlearns to determine whether a sample is from the model distribution or the da... | null | null | no_new_dataset | admin | null | false | null | 52c20045-03c7-4b3d-a2db-b5f74019896c | null | Default | {
"text_length": 900
} | 1no_new_dataset |
TITLE: Synthetic Dataset Generation for Privacy-Preserving Machine Learning
ABSTRACT: Machine Learning (ML) has achieved enormous success in solving a variety of
problems in computer vision, speech recognition, object detection, to name a
few. The principal reason for this success is the availability of huge datasets... | {
"abstract": "Machine Learning (ML) has achieved enormous success in solving a variety of\nproblems in computer vision, speech recognition, object detection, to name a\nfew. The principal reason for this success is the availability of huge datasets\nfor training deep neural networks (DNNs). However, datasets can not... | null | null | no_new_dataset | admin | null | false | null | 7aea2fea-96db-4732-8496-7f4da428882c | null | Validated | {
"text_length": 1580
} | 1no_new_dataset |
TITLE: An Instance Selection Algorithm for Big Data in High imbalanced datasets based on LSH
ABSTRACT: Training of Machine Learning (ML) models in real contexts often deals with
big data sets and high-class imbalance samples where the class of interest is
unrepresented (minority class). Practical solutions using clas... | {
"abstract": "Training of Machine Learning (ML) models in real contexts often deals with\nbig data sets and high-class imbalance samples where the class of interest is\nunrepresented (minority class). Practical solutions using classical ML models\naddress the problem of large data sets using parallel/distributed\nim... | null | null | no_new_dataset | admin | null | false | null | 2587e06f-716b-4f13-9596-bfcabfb1e988 | null | Validated | {
"text_length": 1247
} | 1no_new_dataset |
TITLE: Classification of datasets with imputed missing values: does imputation quality matter?
ABSTRACT: Classifying samples in incomplete datasets is a common aim for machine
learning practitioners, but is non-trivial. Missing data is found in most
real-world datasets and these missing values are typically imputed u... | {
"abstract": "Classifying samples in incomplete datasets is a common aim for machine\nlearning practitioners, but is non-trivial. Missing data is found in most\nreal-world datasets and these missing values are typically imputed using\nestablished methods, followed by classification of the now complete, imputed,\nsam... | null | null | no_new_dataset | admin | null | false | null | 2647bd44-498b-42f9-9ef8-6cb20b36eed9 | null | Validated | {
"text_length": 950
} | 1no_new_dataset |
TITLE: Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
ABSTRACT: While building machine learning models, Feature selection (FS) stands out as
an essential preprocessing step used to handle the uncertainty and vagueness in
the data. Recentl... | {
"abstract": "While building machine learning models, Feature selection (FS) stands out as\nan essential preprocessing step used to handle the uncertainty and vagueness in\nthe data. Recently, the minimum Redundancy and Maximum Relevance (mRMR)\napproach has proven to be effective in obtaining the irredundant featur... | null | null | no_new_dataset | admin | null | false | null | 7ce72dae-c96a-4d20-b0ed-9d4e1476739b | null | Validated | {
"text_length": 1327
} | 1no_new_dataset |
TITLE: Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
ABSTRACT: Estimating depth from RGB images can facilitate many computer vision tasks,
such as indoor localization, height estimation, and simultaneous localization
and mapping (SLAM). Recently, monocular depth estimation has obt... | {
"abstract": "Estimating depth from RGB images can facilitate many computer vision tasks,\nsuch as indoor localization, height estimation, and simultaneous localization\nand mapping (SLAM). Recently, monocular depth estimation has obtained great\nprogress owing to the rapid development of deep learning techniques. T... | null | null | no_new_dataset | admin | null | false | null | 27cc65f3-37c2-4ed9-aa19-4a91779f034f | null | Validated | {
"text_length": 1125
} | 1no_new_dataset |
TITLE: MRCLens: an MRC Dataset Bias Detection Toolkit
ABSTRACT: Many recent neural models have shown remarkable empirical results in Machine
Reading Comprehension, but evidence suggests sometimes the models take
advantage of dataset biases to predict and fail to generalize on out-of-sample
data. While many other appr... | {
"abstract": "Many recent neural models have shown remarkable empirical results in Machine\nReading Comprehension, but evidence suggests sometimes the models take\nadvantage of dataset biases to predict and fail to generalize on out-of-sample\ndata. While many other approaches have been proposed to address this issu... | null | null | no_new_dataset | admin | null | false | null | 298e2a99-0e5b-49a9-935b-ddb37e83be36 | null | Validated | {
"text_length": 816
} | 1no_new_dataset |
TITLE: Ex-Ante Assessment of Discrimination in Dataset
ABSTRACT: Data owners face increasing liability for how the use of their data could
harm under-priviliged communities. Stakeholders would like to identify the
characteristics of data that lead to algorithms being biased against any
particular demographic groups, ... | {
"abstract": "Data owners face increasing liability for how the use of their data could\nharm under-priviliged communities. Stakeholders would like to identify the\ncharacteristics of data that lead to algorithms being biased against any\nparticular demographic groups, for example, defined by their race, gender, age... | null | null | no_new_dataset | admin | null | false | null | 371118da-b9ee-480b-9a75-c06b8cb1717e | null | Validated | {
"text_length": 1202
} | 1no_new_dataset |
TITLE: Gender and Racial Bias in Visual Question Answering Datasets
ABSTRACT: Vision-and-language tasks have increasingly drawn more attention as a means
to evaluate human-like reasoning in machine learning models. A popular task in
the field is visual question answering (VQA), which aims to answer questions
about im... | {
"abstract": "Vision-and-language tasks have increasingly drawn more attention as a means\nto evaluate human-like reasoning in machine learning models. A popular task in\nthe field is visual question answering (VQA), which aims to answer questions\nabout images. However, VQA models have been shown to exploit languag... | null | null | no_new_dataset | admin | null | false | null | a2dc7836-2bbd-4b76-b785-1e06276846c0 | null | Validated | {
"text_length": 1482
} | 1no_new_dataset |
TITLE: Computer Vision based inspection on post-earthquake with UAV synthetic dataset
ABSTRACT: The area affected by the earthquake is vast and often difficult to entirely
cover, and the earthquake itself is a sudden event that causes multiple defects
simultaneously, that cannot be effectively traced using traditiona... | {
"abstract": "The area affected by the earthquake is vast and often difficult to entirely\ncover, and the earthquake itself is a sudden event that causes multiple defects\nsimultaneously, that cannot be effectively traced using traditional, manual\nmethods. This article presents an innovative approach to the problem... | null | null | no_new_dataset | admin | null | false | null | 436923c6-aa42-45c0-a8a4-7e6e9dbb60e4 | null | Validated | {
"text_length": 1027
} | 1no_new_dataset |
TITLE: HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
ABSTRACT: Commercial ML APIs offered by providers such as Google, Amazon and Microsoft
have dramatically simplified ML adoption in many applications. Numerous
companies and academics pay to use ML APIs for tasks such as object detection,... | {
"abstract": "Commercial ML APIs offered by providers such as Google, Amazon and Microsoft\nhave dramatically simplified ML adoption in many applications. Numerous\ncompanies and academics pay to use ML APIs for tasks such as object detection,\nOCR and sentiment analysis. Different ML APIs tackling the same task can... | null | null | new_dataset | admin | null | false | null | dbb8c2fe-bb43-4e45-9fd7-15a622ece478 | null | Validated | {
"text_length": 1988
} | 0new_dataset |
TITLE: GLARE: A Dataset for Traffic Sign Detection in Sun Glare
ABSTRACT: Real-time machine learning detection algorithms are often found within
autonomous vehicle technology and depend on quality datasets. It is essential
that these algorithms work correctly in everyday conditions as well as under
strong sun glare. ... | {
"abstract": "Real-time machine learning detection algorithms are often found within\nautonomous vehicle technology and depend on quality datasets. It is essential\nthat these algorithms work correctly in everyday conditions as well as under\nstrong sun glare. Reports indicate glare is one of the two most prominent\... | null | null | new_dataset | admin | null | false | null | 8a57c963-93a0-4088-8f7b-93262692f72a | null | Validated | {
"text_length": 1473
} | 0new_dataset |
TITLE: COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images
ABSTRACT: Computed tomography (CT) has been widely explored as a COVID-19 screening and
assessment tool to complement RT-PCR testing. To assist radiologists with
CT-based COVID-19... | {
"abstract": "Computed tomography (CT) has been widely explored as a COVID-19 screening and\nassessment tool to complement RT-PCR testing. To assist radiologists with\nCT-based COVID-19 screening, a number of computer-aided systems have been\nproposed. However, many proposed systems are built using CT data which is\... | null | null | new_dataset | admin | null | false | null | 14f90c95-ff42-402d-8bb3-ccd3ece8cc0d | null | Validated | {
"text_length": 1157
} | 0new_dataset |
TITLE: Shifts 2.0: Extending The Dataset of Real Distributional Shifts
ABSTRACT: Distributional shift, or the mismatch between training and deployment data,
is a significant obstacle to the usage of machine learning in high-stakes
industrial applications, such as autonomous driving and medicine. This creates
a need t... | {
"abstract": "Distributional shift, or the mismatch between training and deployment data,\nis a significant obstacle to the usage of machine learning in high-stakes\nindustrial applications, such as autonomous driving and medicine. This creates\na need to be able to assess how robustly ML models generalize as well a... | null | null | new_dataset | admin | null | false | null | bb2169db-72b3-4ce2-85ae-d66da1e2fd03 | null | Validated | {
"text_length": 1897
} | 0new_dataset |
TITLE: Machine Learning Performance Analysis to Predict Stroke Based on Imbalanced Medical Dataset
ABSTRACT: Cerebral stroke, the second most substantial cause of death universally, has
been a primary public health concern over the last few years. With the help of
machine learning techniques, early detection of vario... | {
"abstract": "Cerebral stroke, the second most substantial cause of death universally, has\nbeen a primary public health concern over the last few years. With the help of\nmachine learning techniques, early detection of various stroke alerts is\naccessible, which can efficiently prevent or diminish the stroke. Medic... | null | null | no_new_dataset | admin | null | false | null | 935e37df-adc5-49be-835a-24ac558f5c98 | null | Validated | {
"text_length": 1184
} | 1no_new_dataset |
TITLE: Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset
ABSTRACT: Various problems of any credit card fraud detection based on machine learning
come from the imbalanced aspect of transaction datasets. Indeed, the number of
frauds compared to the number of regular tran... | {
"abstract": "Various problems of any credit card fraud detection based on machine learning\ncome from the imbalanced aspect of transaction datasets. Indeed, the number of\nfrauds compared to the number of regular transactions is tiny and has been\nshown to damage learning performances, e.g., at worst, the algorithm... | null | null | no_new_dataset | admin | null | false | null | e32c31dc-e430-4cce-bda1-78b8ad39277f | null | Default | {
"text_length": 1058
} | 1no_new_dataset |
TITLE: The Conversational Short-phrase Speaker Diarization (CSSD) Task: Dataset, Evaluation Metric and Baselines
ABSTRACT: The conversation scenario is one of the most important and most challenging
scenarios for speech processing technologies because people in conversation
respond to each other in a casual style. De... | {
"abstract": "The conversation scenario is one of the most important and most challenging\nscenarios for speech processing technologies because people in conversation\nrespond to each other in a casual style. Detecting the speech activities of\neach person in a conversation is vital to downstream tasks, like natural... | null | null | new_dataset | admin | null | false | null | fd49659a-52a0-4e86-a6b0-5c2555520522 | null | Validated | {
"text_length": 1819
} | 0new_dataset |
TITLE: Solar Active Region Magnetogram Image Dataset for Studies of Space Weather
ABSTRACT: 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). ... | {
"abstract": "In this dataset we provide a comprehensive collection of magnetograms (images\nquantifying the strength of the magnetic field) from the National Aeronautics\nand Space Administration's (NASA's) Solar Dynamics Observatory (SDO). The\ndataset incorporates data from three sources and provides SDO Heliosei... | null | null | new_dataset | admin | null | false | null | eb0b9191-def7-4bf5-b92f-74c249692b45 | null | Validated | {
"text_length": 1200
} | 0new_dataset |
TITLE: Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play
ABSTRACT: Effective Human-AI teaming requires the ability to communicate the goals of
the team and constraints under which you need the agent to operate. Providing
the ability to specify the shared intent or o... | {
"abstract": "Effective Human-AI teaming requires the ability to communicate the goals of\nthe team and constraints under which you need the agent to operate. Providing\nthe ability to specify the shared intent or operation criteria of the team can\nenable an AI agent to perform its primary function while still bein... | null | null | new_dataset | admin | null | false | null | f59375fa-83ae-406a-b541-3df9881bafce | null | Validated | {
"text_length": 1815
} | 0new_dataset |
TITLE: TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling of Machine Learning Datasets
ABSTRACT: The growing use of supervised machine learning in research and industry has
increased the need for labeled datasets. Crowdsourcing has emerged as a popular
method to create data labels. However, workin... | {
"abstract": "The growing use of supervised machine learning in research and industry has\nincreased the need for labeled datasets. Crowdsourcing has emerged as a popular\nmethod to create data labels. However, working on large batches of tasks leads\nto worker fatigue, negatively impacting labeling quality. To addr... | null | null | no_new_dataset | admin | null | false | null | 72f7f796-bceb-44cc-a1c2-93ddbc5e027c | null | Validated | {
"text_length": 1126
} | 1no_new_dataset |
TITLE: Data Models for Dataset Drift Controls in Machine Learning With Optical Images
ABSTRACT: Camera images are ubiquitous in machine learning research. They also play a
central role in the delivery of important services spanning medicine and
environmental surveying. However, the application of machine learning mod... | {
"abstract": "Camera images are ubiquitous in machine learning research. They also play a\ncentral role in the delivery of important services spanning medicine and\nenvironmental surveying. However, the application of machine learning models in\nthese domains has been limited because of robustness concerns. A primar... | null | null | no_new_dataset | admin | null | false | null | 75bfa54b-db90-45f0-89a9-3102ff3b3df3 | null | Validated | {
"text_length": 2020
} | 1no_new_dataset |
TITLE: The ITU Faroese Pairs Dataset
ABSTRACT: This article documents a dataset of sentence pairs between Faroese and
Danish, produced at ITU Copenhagen. The data covers tranlsation from both
source languages, and is intended for use as training data for machine
translation systems in this language pair. | {
"abstract": "This article documents a dataset of sentence pairs between Faroese and\nDanish, produced at ITU Copenhagen. The data covers tranlsation from both\nsource languages, and is intended for use as training data for machine\ntranslation systems in this language pair.",
"title": "The ITU Faroese Pairs Datas... | null | null | new_dataset | admin | null | false | null | 2f29679a-049c-4cee-b4d7-97905b3c9b6c | null | Validated | {
"text_length": 322
} | 0new_dataset |
TITLE: Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset
ABSTRACT: Machine learning algorithms have been widely used in intrusion detection
systems, including Multi-layer Perceptron (MLP). In this study, we proposed a
two-stage model that combines the Bi... | {
"abstract": "Machine learning algorithms have been widely used in intrusion detection\nsystems, including Multi-layer Perceptron (MLP). In this study, we proposed a\ntwo-stage model that combines the Birch clustering algorithm and MLP classifier\nto improve the performance of network anomaly multi-classification. I... | null | null | no_new_dataset | admin | null | false | null | 60902729-ac8e-43f0-b661-6bdcc36c3f92 | null | Validated | {
"text_length": 1004
} | 1no_new_dataset |
TITLE: PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text
ABSTRACT: Scientific action graphs extraction from materials synthesis procedures is
important for reproducible research, machine automation, and material
prediction. But the lack of annotated data ... | {
"abstract": "Scientific action graphs extraction from materials synthesis procedures is\nimportant for reproducible research, machine automation, and material\nprediction. But the lack of annotated data has hindered progress in this field.\nWe demonstrate an effort to annotate Polycrystalline Materials Synthesis\nP... | null | null | new_dataset | admin | null | false | null | 5f81a480-6c41-422d-a3f5-cf0ea5d181b3 | null | Validated | {
"text_length": 1471
} | 0new_dataset |
TITLE: Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
ABSTRACT: The development of semi-supervised learning techniques is essential to
enhance the generalization capacities of machine learning algorithms. Indeed,
raw image data are abund... | {
"abstract": "The development of semi-supervised learning techniques is essential to\nenhance the generalization capacities of machine learning algorithms. Indeed,\nraw image data are abundant while labels are scarce, therefore it is crucial to\nleverage unlabeled inputs to build better models. The availability of l... | null | null | new_dataset | admin | null | false | null | 27070983-724c-4a1f-b90c-e1d8738d2816 | null | Validated | {
"text_length": 1970
} | 0new_dataset |
TITLE: RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes
ABSTRACT: We introduce RaidaR, a rich annotated image dataset of rainy street scenes,
to support autonomous driving research. The new dataset contains the largest
number of rainy images (58,542) to date, 5,000 of which provide semantic
segmentations... | {
"abstract": "We introduce RaidaR, a rich annotated image dataset of rainy street scenes,\nto support autonomous driving research. The new dataset contains the largest\nnumber of rainy images (58,542) to date, 5,000 of which provide semantic\nsegmentations and 3,658 provide object instance segmentations. The RaidaR\... | null | null | new_dataset | admin | null | false | null | 2811a11c-72ae-43e1-bf62-d086501ece10 | null | Validated | {
"text_length": 1163
} | 0new_dataset |
TITLE: AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots
ABSTRACT: To better interact with users, a social robot should understand the users'
behavior, infer the intention, and respond appropriately. Machine learning is
one way of implementing robot intelligence. It provi... | {
"abstract": "To better interact with users, a social robot should understand the users'\nbehavior, infer the intention, and respond appropriately. Machine learning is\none way of implementing robot intelligence. It provides the ability to\nautomatically learn and improve from experience instead of explicitly tellin... | null | null | new_dataset | admin | null | false | null | 0aa0a75f-ff3b-4620-9932-64ad6aea89e4 | null | Validated | {
"text_length": 1639
} | 0new_dataset |
TITLE: Interpreting Black-box Machine Learning Models for High Dimensional Datasets
ABSTRACT: Deep neural networks (DNNs) have been shown to outperform traditional machine
learning algorithms in a broad variety of application domains due to their
effectiveness in modeling complex problems and handling high-dimensiona... | {
"abstract": "Deep neural networks (DNNs) have been shown to outperform traditional machine\nlearning algorithms in a broad variety of application domains due to their\neffectiveness in modeling complex problems and handling high-dimensional\ndatasets. Many real-life datasets, however, are of increasingly high\ndime... | null | null | no_new_dataset | admin | null | false | null | a7139c48-a50b-4a25-b653-75cfe55224fe | null | Validated | {
"text_length": 2023
} | 1no_new_dataset |
TITLE: XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
ABSTRACT: Recent advances in machine learning have significantly improved the
understanding of source code data and achieved good performance on a number of
downstream tasks. Open source repositories like GitHub enable this process with
rich unlab... | {
"abstract": "Recent advances in machine learning have significantly improved the\nunderstanding of source code data and achieved good performance on a number of\ndownstream tasks. Open source repositories like GitHub enable this process with\nrich unlabeled code data. However, the lack of high quality labeled data ... | null | null | new_dataset | admin | null | false | null | a105b929-87c4-4981-99c6-4d6687c61b36 | null | Validated | {
"text_length": 1221
} | 0new_dataset |
TITLE: IFCNet: A Benchmark Dataset for IFC Entity Classification
ABSTRACT: Enhancing interoperability and information exchange between domain-specific
software products for BIM is an important aspect in the Architecture,
Engineering, Construction and Operations industry. Recent research started
investigating methods ... | {
"abstract": "Enhancing interoperability and information exchange between domain-specific\nsoftware products for BIM is an important aspect in the Architecture,\nEngineering, Construction and Operations industry. Recent research started\ninvestigating methods from the areas of machine and deep learning for semantic\... | null | null | new_dataset | admin | null | false | null | e6fb60d6-17c4-4d32-a8b2-8666742d1ee0 | null | Validated | {
"text_length": 862
} | 0new_dataset |
TITLE: Intrusion Detection Systems Using Support Vector Machines on the KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey
ABSTRACT: With the growing rates of cyber-attacks and cyber espionage, the need for
better and more powerful intrusion detection systems (IDS) is even more
warranted nowadays. The basic task ... | {
"abstract": "With the growing rates of cyber-attacks and cyber espionage, the need for\nbetter and more powerful intrusion detection systems (IDS) is even more\nwarranted nowadays. The basic task of an IDS is to act as the first line of\ndefense, in detecting attacks on the internet. As intrusion tactics from\nintr... | null | null | no_new_dataset | admin | null | false | null | 0b5e25e8-a4cd-4de2-818b-046552e7461f | null | Validated | {
"text_length": 1640
} | 1no_new_dataset |
TITLE: NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities
ABSTRACT: This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed
abstracts in Russian and smaller number of abstracts in English. NEREL-BIO
extends the general domain dataset NEREL by introducing domain-speci... | {
"abstract": "This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed\nabstracts in Russian and smaller number of abstracts in English. NEREL-BIO\nextends the general domain dataset NEREL by introducing domain-specific entity\ntypes. NEREL-BIO annotation scheme covers both general and biomedical ... | null | null | new_dataset | admin | null | false | null | 17db3f79-0176-40de-8448-c76da8578952 | null | Validated | {
"text_length": 1294
} | 0new_dataset |
TITLE: Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset
ABSTRACT: One of the challenges in virtual environments is the difficulty users have in
interacting with these increasingly complex systems. Ultimately, endowing
machines with the ability to perceive users ... | {
"abstract": "One of the challenges in virtual environments is the difficulty users have in\ninteracting with these increasingly complex systems. Ultimately, endowing\nmachines with the ability to perceive users emotions will enable a more\nintuitive and reliable interaction. Consequently, using the\nelectroencephal... | null | null | no_new_dataset | admin | null | false | null | e755446b-2f17-4138-8928-166ca1d0359a | null | Validated | {
"text_length": 1277
} | 1no_new_dataset |
TITLE: METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets
ABSTRACT: The COVID-19 pandemic continues to bring up various topics discussed or
debated on social media. In order to explore the impact of pandemics on
people's lives, it is crucial to understand the public's concerns and... | {
"abstract": "The COVID-19 pandemic continues to bring up various topics discussed or\ndebated on social media. In order to explore the impact of pandemics on\npeople's lives, it is crucial to understand the public's concerns and attitudes\ntowards pandemic-related entities (e.g., drugs, vaccines) on social media.\n... | null | null | new_dataset | admin | null | false | null | 401077d3-09e9-4b72-914e-7e0d65b3e45d | null | Validated | {
"text_length": 1979
} | 0new_dataset |
TITLE: A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State
ABSTRACT: Background: The volume of distribution at steady state (VDss) is a
fundamental pharmacokinetics (PK) property of drugs, which measures how
effectively a drug molecule is distributed throughout the body. Along w... | {
"abstract": "Background: The volume of distribution at steady state (VDss) is a\nfundamental pharmacokinetics (PK) property of drugs, which measures how\neffectively a drug molecule is distributed throughout the body. Along with the\nclearance (CL), it determines the half-life and, therefore, the drug dosing\ninter... | null | null | new_dataset | admin | null | false | null | 4be8cf84-9ee8-452c-8270-486868b8c99f | null | Validated | {
"text_length": 1863
} | 0new_dataset |
TITLE: SyntheticFur dataset for neural rendering
ABSTRACT: We introduce a new dataset called SyntheticFur built specifically for machine
learning training. The dataset consists of ray traced synthetic fur renders
with corresponding rasterized input buffers and simulation data files. We
procedurally generated approxim... | {
"abstract": "We introduce a new dataset called SyntheticFur built specifically for machine\nlearning training. The dataset consists of ray traced synthetic fur renders\nwith corresponding rasterized input buffers and simulation data files. We\nprocedurally generated approximately 140,000 images and 15 simulations w... | null | null | new_dataset | admin | null | false | null | 1eb85054-81ea-44c4-ad59-bfe6c5ac9d31 | null | Validated | {
"text_length": 891
} | 0new_dataset |
TITLE: Seeing the Unseen: Errors and Bias in Visual Datasets
ABSTRACT: From face recognition in smartphones to automatic routing on self-driving
cars, machine vision algorithms lie in the core of these features. These
systems solve image based tasks by identifying and understanding objects,
subsequently making decisi... | {
"abstract": "From face recognition in smartphones to automatic routing on self-driving\ncars, machine vision algorithms lie in the core of these features. These\nsystems solve image based tasks by identifying and understanding objects,\nsubsequently making decisions from these information. However, errors in\ndatas... | null | null | no_new_dataset | admin | null | false | null | 122d9848-2c69-4636-994b-dc7dcf9f7f5f | null | Validated | {
"text_length": 751
} | 1no_new_dataset |
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