cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/vhs78ciy
title: TITML-IDN, Magic Data, Common Voice, SLR35, SLR36, SLR41, and SLR44 datasets

description: The study uses the TITML-IDN, Magic Data, Common Voice, SLR35, SLR36, SLR41, and SLR44 datasets for training and evaluation of the ASR system.
DOI: 10.57702/d9oqkyv9
title: Magic Data

description: The Magic Data dataset consists of 3.5 hours of Indonesian scripted speeches from 10 people.
DOI: 10.57702/x1pduosn
title: SSN Ontology Dataset

description: The SSN ontology dataset used for semantic sensor network.
DOI: 10.57702/lhveqb1g
title: Kinetics: A Large-Scale Video Benchmark for Human Action Recognition

description: A large-scale video benchmark for human action recognition.
DOI: 10.57702/b465ilra
title: Cryptocurrency Market Data

description: The dataset used in this paper is the first 100 leading cryptocurrencies, which in aggregated terms account for nearly 96% of total cryptocurrency's market capitalization.
DOI: 10.57702/ehn0r6ki
title: MineRL Diamond

description: The MineRL Diamond dataset is a large-scale dataset of Minecraft demonstrations, focusing on the development of sample-efﬁcient reinforcement learning algorithms for mining items in Minecraft.
DOI: 10.57702/wbozqqd2
title: Frequency Response Data of 30 VCM Plants

description: Frequency response data of 30 VCM plants, clustered using k-medoids and Gaussian Mixture Models
DOI: 10.57702/b1j3ca6z
title: COBS: a Compact Bit-Sliced Signature Index

description: COBS is a compact bit-sliced signature index for approximate pattern matching on large q-gram datasets.
DOI: 10.57702/syqh9o73
title: Mid-Air dataset

description: The Mid-Air dataset contains the flying records of a quad-copter moving in 3 different virtual environments.
DOI: 10.57702/nfyebjyr
title: Crop Yield Optimization

description: A plant simulation environment with an OpenAI Gym interface, used to optimize crop yield using reinforcement learning algorithms.
DOI: 10.57702/glby3xzg
title: SIMPLE crop model

description: A crop model used in the paper, including 13 parameters to specify a crop type.
DOI: 10.57702/lwubu909
title: THEORETICAL LINEAR CONVERGENCE OF DEEP UNFOLDING NETWORK FOR BLOCK-SPARSE SIGNAL RECOVERY

description: The dataset is used for block-sparse signal recovery problem, where nonzero entries of recovered signals occur in clusters.
DOI: 10.57702/q6i69ogs
title: XLong

description: The XLong dataset is a large-scale lifelong sequence recommendation dataset.
DOI: 10.57702/rfkfhowl
title: IEMOCAP dataset

description: The IEMOCAP dataset contains five recording sessions, each with one male speaker and one female speaker.
DOI: 10.57702/8mjkuaxg
title: Liu et al. dataset

description: The dataset used in the paper is a collection of sentences describing drug-drug interactions.
DOI: 10.57702/7phd9mff
title: SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot

description: The SHROOM dataset is a collection of data points containing task, input text, target text, and generated text. The dataset is used for hallucination detection in natural language generation.
DOI: 10.57702/ct0blch5
title: VisSpeech

description: The dataset used for the audio-visual speech recognition task, which consists of instructional videos with semantically related visual content.
DOI: 10.57702/c686okph
title: CoVoST2

description: The dataset used for the speech translation task, which consists of multilingual speech data.
DOI: 10.57702/z6woyo7c
title: SEAME

description: The dataset used for the code-switched speech recognition task, which consists of Mandarin-English code-switched corpora.
DOI: 10.57702/k17aod7y
title: Large Scale Analysis of Open MOOC Reviews to Support Learners’ Course Selection

description: The dataset contains 2.4 million reviews from five different MOOC platforms: Udemy, Coursera, Domestika, Platzi, and Crehana.
DOI: 10.57702/uj1c02tu
title: Google Flu Trends Dataset

description: The dataset consists of weekly estimates of influenza rates in 311 worldwide regions. The dataset is used to evaluate the proposed framework for forecasting seasonal profiles in time series.
DOI: 10.57702/4fpaioyi
title: PortraitMode-400

description: PortraitMode-400 is a dataset dedicated to portrait mode video recognition, with a fine-grained taxonomy of 400 categories.
DOI: 10.57702/athuxa65
title: Emoji and Pics datasets

description: A dataset for testing the proposed Layer-wise Image Vectorization method
DOI: 10.57702/9h3tvqli
title: Generated Dataset

description: The dataset is generated from the following model: X1:10, Y1:10 ∼ Uniform(0, 1), S ∼ Multinomial(2, Normal((1/2)X1, (1/2)X2)), Z | X, Y, S ∼ Uniform(0, X) Uniform(X, Z)
DOI: 10.57702/omfptjm8
title: SynthImageNet

description: The dataset used in the paper for representation learning through latent canonicalizations.
DOI: 10.57702/4bnahf5v
title: N-MNIST and SHD datasets

description: The dataset used for training and testing the accelerated ALIF SNN model.
DOI: 10.57702/knlhdm7q
title: FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning to Rank

description: FOLD-TR is a customized FOLD-R++ algorithm with ranking framework, that aims to rank new items following the ranking pattern in the training data.
DOI: 10.57702/4h97oo34
title: TCGA-CRC-DX dataset

description: The TCGA-CRC-DX dataset comprises whole slide images from 360 CRC-diagnosed patients, which includes DNA mutations, RNA expressions, and clinical annotations, alongside the H&E images.
DOI: 10.57702/65zps4nf
title: Blockchain Mechanisms

description: The dataset used in this paper is a collection of randomized mechanisms for blockchain consensus protocols.
DOI: 10.57702/gwpomr6d
title: Product MDP

description: The dataset used in this paper is a product MDP constructed from an LTL formula and an LDBA.
DOI: 10.57702/44stanqo
title: Moses: Open Source Toolkit for Statistical Machine Translation

description: Moses: Open source toolkit for statistical machine translation.
DOI: 10.57702/ns5q78v1
title: Projection-Cost-Preserving Sketches

description: In this note we illustrate how common matrix approximation methods, such as random projection and random sampling, yield projection-cost-preserving sketches, as introduced in [FSS13, CEM+15]. A projection-cost-preserving sketch is a matrix approximation which, for a given parameter k, approximately preserves the distance of the target matrix to all k-dimensional subspaces. Such sketches have applications to scalable algorithms for linear algebra, data science, and machine learning. Our goal is to simplify the presentation of proof techniques introduced in [CEM+15] and [CMM17] so that they can serve as a guide for future work. We also refer the reader to [CYD19], which gives a similar simpliﬁed exposition of the proof covered in Section 2.
DOI: 10.57702/8wagu1df
title: JANUS CS2 Ident

description: Face verification and recognition dataset
DOI: 10.57702/4fx1om72
title: UMN

description: A video anomaly detection dataset for a crowded scene, containing 11 short clips of people meandering around an outdoor field, courtyard, or indoor foyer.
DOI: 10.57702/v2e3uujr
title: Posterior Control of Blackbox Generation

description: Text generation often requires high-precision output that obeys task-specific rules. This fine-grained control is difficult to enforce with off-the-shelf deep learning models.
DOI: 10.57702/fsadrq7w
title: Grambank

description: Grambank is a database of linguistic features, focusing on what is possible in a language, rather than what is most common.
DOI: 10.57702/7gs93lyp
title: NLGP Dataset

description: A dataset of 297,845 preprocessed Python source files for training and evaluation of natural language-guided programming (NLGP) models.
DOI: 10.57702/h91jtsep
title: MEDIA

description: The dataset used for the MEDIA task, which is a spoken language understanding task.
DOI: 10.57702/qh27fdik
title: French Treebank (FTB)

description: The dataset used for the French Treebank (FTB) task, which is a part-of-speech tagging task.
DOI: 10.15468/dl.7r5sh5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schinus molle L."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055421-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/oy3jtirs
title: Long-term Leap Attention, Short-term Periodic Shift for Video Classification

description: Video transformer naturally incurs a heavier computation burden than a static vision transformer, as the former processes T times longer sequence than the latter under the current attention of quadratic complexity. The existing works treat the temporal axis as a simple extension of spatial axes, focusing on shortening the spatio-temporal sequence by either generic pooling or local windowing without utilizing temporal redundancy.
DOI: 10.57702/xxyvze9q
title: Error Explainable Benchmark (EEB) dataset

description: The proposed Error Explainable Benchmark (EEB) dataset, which considers both speech- and text-level error types, to diagnose and validate ASR models and post-processors.
DOI: 10.57702/y4e9vq2c
title: Speech-Level Error Type Classiﬁcation Criteria

description: The proposed speech-level error type classiﬁcation criteria, which considers 24 sub-types for noise error and 13 sub-types for speaker characteristics.
DOI: 10.15468/dl.m22d2j
title: Occurrence Download

description: A dataset containing 1003929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (INSDC Sequences, Great Backyard Bird Count, International Barcode of Life project (iBOL), Centre for Biodiversity Genomics - Canadian Specimens, Macroalgal Morphology affects composition and settlement of microbial communities)",
 "GadmGid is CAN.2_1",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 1003929 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055418-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/36vpy471
title: Text-Level Error Type Classiﬁcation Criteria

description: The proposed text-level error type classiﬁcation criteria, which considers 13 text-level errors that can occur in speech recognition situations.
DOI: 10.57702/eg5g5brl
title: K-NCT

description: The Korean GEC dataset, which includes text-level errors and is used to construct the ASR Post-Processing dataset.
DOI: 10.57702/x6kbc14y
title: Xi'an and Chengdu Traﬃc Flow Prediction Datasets

description: The Xi'an and Chengdu datasets are created by partitioning the city into irregular areas using POI information. The datasets are used for urban traﬃc flow prediction.
DOI: 10.57702/acbn655d
title: Empatica E4 Dataset

description: The dataset used in the MHDeep framework, containing physiological signals and ambient information collected from wearable medical sensors.
DOI: 10.15468/dl.9naafh
title: Occurrence Download

description: A dataset containing 2060460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is CAN.2_1",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 2060460 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055419-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/z17mo7qo
title: FST Morphological Analyser and Generator for Mapudüngun

description: FST Morphological Analyser and Generator for Mapudüngun
DOI: 10.57702/ba2argu8
title: FOLIO

description: The dataset used in the paper for natural language reasoning tasks
DOI: 10.57702/9eh83o84
title: AR-LSAT

description: AR-LSAT: A dataset that collects all analytical logic reasoning questions from the Law School Admission Test
DOI: 10.6073/pasta/3e8efacb1e5c765a49a14378de99537f
title: Meteorological data from towers (pre-Hugo) or rooftop (post Hugo) at El Verde

description: The meteorological sensors were installed above the flat concrete roof of El Verde Field Station (elevation: 350 m asl). The building is in an approx. 0.3 ha clearing in a forest approx. 20 m tall. Data were processed and temporarily stored in a Campbell 21X data logger on-site. The station was initiated after the September 1989 hurricane. As this station was installed 3 meters above a concrete rooftop in a forest clearing, dry air temperatures during daylight hours are higher than those that would be measured in the adjacent forest. The USGS maintains a nearby (100 m away) station on a 20 m tower (since 1992). An additional station for temperature and humidity measurements in the forest understory was added in 1997. Additional measurements of daily rainfall and maximum and minimum air temperatures for this site since 1975 exist on separate files.
DOI: 10.57702/rlzi2ow7
title: LIDC-IDRI and LC015 datasets for lung nodule segmentation

description: The dataset used for lung nodule segmentation, including the LIDC-IDRI dataset and the LC015 dataset.
DOI: 10.57702/2geyq4gg
title: IT, Koran, Medical, and Law datasets

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used four commonly-used benchmarks, including IT, Koran, Medical, and Law.
DOI: 10.57702/fbm7ed0l
title: Moses Toolkit dataset

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the Moses toolkit to tokenize sentences and split words into subword units.
DOI: 10.57702/xcrdigrk
title: Isaac Gym

description: The dataset used in the paper is a simulation environment for quadruped robots, specifically the NVIDIA Isaac Gym simulator.
DOI: 10.57702/rintanq0
title: Caltech 101 Dataset and ILSVRC 2012 Dataset

description: The dataset used in the paper is the Caltech 101 Dataset and the ILSVRC 2012 Dataset.
DOI: 10.57702/s7a7gjqn
title: Rosetta: A realistic high-level synthesis benchmark suite for software programmable FPGAs

description: A dataset for training machine learning models for routing congestion prediction
DOI: 10.57702/hi91v9k8
title: Learning (Very) Simple Generative Models Is Hard

description: The dataset is used to study the computational complexity of learning pushforwards of Gaussians under one-hidden-layer ReLU networks.
DOI: 10.57702/kdi6a6d6
title: Wiki20m

description: The Wiki20m dataset is derived from Wiki20 by reorganizing its relation facts and redividing its training, validation, and test sets.
DOI: 10.57702/9w0s4pn3
title: LLaVA Instruct 150K dataset

description: The dataset used in the paper is LLaVA Instruct 150K dataset, which is a visual instruction tuning dataset.
DOI: 10.57702/9n1v7hc1
title: Science QA (SQA) dataset

description: The dataset used in the paper is Science QA (SQA) dataset, which is a science question answering dataset.
DOI: 10.57702/17fligc7
title: English Broadcast News (BN) dataset

description: The dataset used in this paper is the English Broadcast News (BN) dataset.
DOI: 10.57702/i0bs7n7i
title: MNIST, CIFAR10, GTSRB, and ImageNet32

description: The dataset used in the paper is MNIST, CIFAR10, GTSRB, and ImageNet32.
DOI: 10.57702/g5jft5zb
title: WikiTables

description: The paper discusses the capabilities of large language models (LLMs) in the context of table representation learning, and proposes an evasive entity-swap attack for the column type annotation (CTA) task.
DOI: 10.57702/go7wdy0s
title: Direct Processing of Run-length Compressed Document Image

description: The dataset used in the paper is a collection of run-length compressed documents.
DOI: 10.57702/qrrnu959
title: Deep Learning for Symbolic Mathematics

description: Deep learning for symbolic mathematics
DOI: 10.57702/9f9e3g9w
title: Rule-Based Integrator

description: Rule-based integration: An extensive system of symbolic integration rules
DOI: 10.57702/x0kdc6zw
title: DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction

description: A large-scale human-annotated corpus for disfluency correction in four Indo-European languages: English, Hindi, German, and French.
DOI: 10.57702/7mi9mgv6
title: Diabla: A Corpus of Bilingual Spontaneous Written Dialogues

description: A corpus of bilingual spontaneous written dialogues for machine translation.
DOI: 10.57702/7f8z6t1b
title: Presto: A Multilingual Dataset for Task-Oriented Dialogue Parsing

description: A multilingual dataset for task-oriented dialogue parsing.
DOI: 10.57702/zdc4ivpb
title: Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning

description: The dataset used in this paper is a comprehensive case study dataset, including Safe Navigation-Circle, Safe Navigation-Goal, and Safe Velocity-Half Cheetah environments.
DOI: 10.57702/mkeawla0
title: Bike3S: A tool for bike sharing systems simulation

description: The dataset used in this paper is a simulation of a bike-sharing system, with real data from the BiciMAD system in Madrid.
DOI: 10.57702/4ontzin1
title: Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (GPM) mission (IMERG)

description: Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate change. The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (GPM) mission (IMERG) datasets are widely used for global and regional precipitation investigations.
DOI: 10.57702/ouu3o7hw
title: Shuttle Radar Topography Mission (STRM)

description: Digital elevation model (DEM) data were obtained from the Shuttle Radar Topography Mission (STRM).
DOI: 10.57702/vh88lz26
title: Suﬃcient Forecasting Using Factor Models

description: The dataset used in the paper is a high-dimensional time series dataset, where the target variable yt+1 is forecasted using a large number of predictors xt.
DOI: 10.57702/t8jo1gnx
title: Fat-suppressed spoiled GRASS imaging of knee hyaline cartilage

description: MRI images of knee joint for cartilage defect diagnosis
DOI: 10.57702/sp1qked3
title: Gowalla, Foursquare, Yelp

description: The Gowalla dataset was generated worldwide from February 2009 to October 2010. The Foursquare dataset comprises check-ins from April 2012 to September 2013 within the United States (except Alaska and Hawaii). The Yelp dataset is obtained from the Yelp dataset challenge round 7.
DOI: 10.57702/tm2c0un6
title: Impedance models for TL-VSC grid-connected system

description: The dataset used in the paper is a set of impedance models for a three-phase symmetrical TL-VSC grid-connected system.
DOI: 10.57702/wio07i6g
title: Simulated data

description: Simulated data from five standard data generating processes (DGPs) to evaluate when SGTs and Booging outperform their counterparts relying on their traditionally associated regularization scheme.
DOI: 10.57702/qbo14z0a
title: Physionet EEG motor movement/imagery database (MMIDB) and BCI Competition IV 2a dataset

description: The proposed method uses two publicly available motor imagery EEG datasets for validation.
DOI: 10.57702/4q5voh2s
title: Synthetic 70,000-bus system

description: The dataset used in the paper is a synthetic 70,000-bus system, which contains 88,207 branches and transformers, 160,780 variables, and 998,495 non-zero Jacobian elements.
DOI: 10.6073/pasta/9554b7f19ddd4a614e854f18be978dca
title: A unified dataset of co-located sewage pollution, periphyton, and benthic macroinvertebrate community and food web structure from Lake Baikal (Siberia)

description: Sewage released from lakeside development can introduce nutrients and micropollutants
 that can restructure aquatic ecosystems. Lake Baikal, the world's most ancient, biodiverse,
 and voluminous lake, has been experiencing localized sewage pollution from lakeside
 settlements. Increasing filamentous algal abundance suggests benthic communities are
 responding to this localized pollution. We surveyed 40-km of Lake Baikal's southwestern
 shoreline 19-23 August 2015 for sewage indicators, including pharmaceuticals, personal care
 products, and microplastics with co-located periphyton, macroinvertebrate, stable isotope,
 and fatty acid sampling. Unique identifiers corresponding to sampling locations are retained
 throughout all data files to facilitate interoperability among the dataset's 150+ variables.
 The data are structured in a tidy format (a tabular arrangement familiar to limnologists) to
 encourage future reuse. For Lake Baikal studies, these data can support continued monitoring
 and research efforts. For global studies of lakes, these data can help characterize sewage
 prevalence and ecological consequences of anthropogenic disturbance across spatial
 scales.
DOI: 10.57702/bbsj2nz4
title: Treating Point Cloud as Moving Camera Videos: A No-Reference Quality Assessment Metric

description: Point cloud is one of the most widely used digital representation formats for three-dimensional (3D) contents, the visual quality of which may suffer from noise and geometric shift distortions during the production procedure as well as compression and downsampling distortions during the transmission process.
DOI: 10.57702/en3wh50f
title: Trivago Dataset

description: The Trivago dataset is a real-world task in the travel metasearch domain. Users that are planning a business or leisure trip can use Trivago's website to compare accommodations and prices from various booking sites.
DOI: 10.57702/jbp1r8cz
title: Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing

description: The Capacitated Vehicle Routing Problem (CVRP) dataset, a combinatorial optimization problem in which a set of locations must be covered by a single vehicle with limited capacity.
DOI: 10.57702/l0uok6vg
title: IT Job Detection Dataset

description: Dataset for job detection in Twitter
DOI: 10.57702/64gll1av
title: BVCC

description: The BVCC dataset is a newly collected MOS dataset that contains 7106 English samples from previous Bliz-zard Challenge for TTS and Voice Conversion Challenge.
DOI: 10.57702/65relnk5
title: BC2019

description: The BC2019 dataset is a Chinese TTS dataset that contains 136 samples submitted to the 2019 Blizzard Challenge.
DOI: 10.57702/e65tukfs
title: Indian Legal Corpus

description: The dataset is a large corpus of court judgment documents from the Supreme Court and many High Courts of India, along with a collection of all Central Government Acts (statutory documents).
DOI: 10.57702/zakt4dap
title: Indian Penal Code

description: The dataset is a collection of all Central Government Acts (statutory documents) in India.
DOI: 10.57702/wdj5auql
title: EOLO: Embedded Object Segmentation only Look

description: Instance segmentation on embedded devices
DOI: 10.57702/q16hi1le
title: VIVOS Corpus and 24K Images Dataset

description: The dataset used in the paper is a 24K images dataset and the VIVOS Corpus audio dataset.
DOI: 10.57702/4dth244b
title: Real-time Progressive 3D Semantic Segmentation for Indoor Scenes

description: Real-time Progressive 3D Semantic Segmentation for Indoor Scenes
DOI: 10.57702/wg0rfzs0
title: SceneNN and ScanNet datasets

description: SceneNN and ScanNet datasets
DOI: 10.57702/lcof99vc
title: Tranco

description: The dataset used in this paper for collaborative machine learning for DGA detection.